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Shared Tasks (2020)


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CLEF: BioASQ

Shared Task Website

Overview papers:

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Overview of BioASQ 8a and 8b: Results of the Eighth Edition of the BioASQ Tasks a and b
Anastasios Nentidis | Anastasia Krithara | Konstantinos Bougiatiotis | Georgios Paliouras

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Overview of MESINESP, a Spanish Medical Semantic Indexing Task within BioASQ 2020
Carlos Rodríguez Penagos | Anastasios Nentidis | Aitor Gonzalez-Agirre | Alejandro Asensio | Jordi Armengol-Estapé | Anastasia Krithara | Marta Villegas | Georgios Paliouras | Martin Krallinger

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Overview of BioASQ 2020: The Eighth BioASQ Challenge on Large-Scale Biomedical Semantic Indexing and Question Answering
Anastasios Nentidis | Anastasia Krithara | Konstantinos Bougiatiotis | Martin Krallinger | Carlos Rodríguez Penagos | Marta Villegas | Georgios Paliouras


Participant papers:

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Transfer Learning for Biomedical Question Answering
Arda Akdemir | Tetsuo Shibuya

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BIT.UA at BioASQ 8: Lightweight Neural Document Ranking with Zero-shot Snippet Retrieval
Tiago Almeida | Sérgio Matos

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Priberam at MESINESP Multi-label Classification of Medical Texts Task
Rúben Cardoso | Zita Marinho | Afonso Mendes | Sebastião Miranda

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NCU-IISR: Using a Pre-trained Language Model and Logistic Regression Model for BioASQ Task 8b Phase B
Jen-Chieh Han | Richard Tzong-Han Tsai

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Transferability of Natural Language Inference to Biomedical Question Answering
Minbyul Jeong | Mujeen Sung | Gangwoo Kim | Donghyeon Kim | Wonjin Yoon | Jaehyo Yoo | Jaewoo Kang

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Transformer-Based Open Domain Biomedical Question Answering at BioASQ8 Challenge
Ashot Kazaryan | Uladzislau Sazanovich | Vladislav Belyaev

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Unsupervised Pre-training for Biomedical Question Answering
Vaishnavi Kommaraju | Karthick Gunasekaran | Kun Li | Trapit Bansal | Andrew McCallum | Ivana Williams | Ana-Maria Istrate

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Statistical Graph Matching for Indexing Spanish Biomedical Documents
Alicia Lara-Clares | Ana García-Serrano

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Hybrid First-stage Retrieval Models for Biomedical Literature
Ji Ma | Ivan Korotkov | Keith B. Hall | Ryan T. McDonald

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Query Focused Multi-document Summarisation of Biomedical Texts
Diego Mollá | Christopher Jones | Vincent Nguyen

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Extreme Multi-Label Classification applied to the Biomedical and Multilingual Panorama
André Neves | André Lamúrias | Francisco M. Couto

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AUEB-NLP at BioASQ 8: Biomedical Document and Snippet Retrieval
Dimitris Pappas | Petros Stavropoulos | Ion Androutsopoulos

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CoLe and LYS at BioASQ MESINESP8 Task: Similarity based Descriptor Assigment in Spanish
Francisco J. Ribadas-Pena | Shuyuan Cao | Elmurod Kuriyozov

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Query-focused biomedical text summarization in BioASQ 8B
Jainisha Sankhavara | Prasenjit Majumder

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CLEF: ChEMU

Shared Task Website

Overview papers:

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Overview of ChEMU 2020: Named Entity Recognition and Event Extraction of Chemical Reactions from Patents
Jiayuan He | Dat Quoc Nguyen | Saber A. Akhondi | Christian Druckenbrodt | Camilo Thorne | Ralph Hoessel | Zubair Afzal | Zenan Zhai | Biaoyan Fang | Hiyori Yoshikawa | Ameer Albahem | Lawrence Cavedon | Trevor Cohn | Timothy Baldwin | Karin Verspoor

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An Extended Overview of the CLEF 2020 ChEMU Lab: Information Extraction of Chemical Reactions from Patents
Jiayuan He | Dat Quoc Nguyen | Saber A. Akhondi | Christian Druckenbrodt | Camilo Thorne | Ralph Hoessel | Zubair Afzal | Zenan Zhai | Biaoyan Fang | Hiyori Yoshikawa | Ameer Albahem | Jingqi Wang | Yuankai Ren | Zhi Zhang | Yaoyun Zhang | Mai Hoang Dao | Pedro Ruas | Andre Lamurias | Francisco M. Couto | Jenny Copara | Nona Naderi | Julien Knafou | Patrick Ruch | Douglas Teodoro | Daniel M. Lowe | John Mayfield | Abdullatif Köksal | Hilal Dönmez | Elif Özkirimli | Arzucan Özgür | Darshini Mahendran | Gabrielle Gurdin | Nastassja Lewinski | Christina Tang | Bridget T. McInnes | C. S. Malarkodi | Pattabhi Rk Rao | Sobha Lalitha Devi | Lawrence Cavedon | Trevor Cohn | Timothy Baldwin | Karin Verspoor


Participant papers:

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CLRG ChemNER: A Chemical Named Entity Recognizer @ ChEMU CLEF 2020
C. S. Malarkodi | Pattabhi Rk Rao | Sobha Lalitha Devi

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Named Entity Recognition in Chemical Patents using Ensemble of Contextual Language Models
Jenny Copara | Nona Naderi | Julien Knafou | Patrick Ruch | Douglas Teodoro

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VinAI at ChEMU 2020: An Accurate System for Named Entity Recognition in Chemical Reactions from Patents
Mai Hoang Dao | Dat Quoc Nguyen

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BOUN-REX at CLEF-2020 ChEMU Task 2: Evaluating Pretrained Transformers for Event Extraction
Hilal Dönmez | Abdullatif Köksal | Elif Özkirimli | Arzucan Özgür

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Extraction of Reactions from Patents using Grammars
Daniel M. Lowe | John Mayfield

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NLPatVCU CLEF 2020 ChEMU Shared Task System Description
Darshini Mahendran | Gabrielle Gurdin | Nastassja Lewinski | Christina Tang | Bridget T. McInnes

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LasigeBioTM Team at CLEF2020 ChEMU Evaluation Lab: Named Entity Recognition and Event extraction from chemical reactions described in patents using BioBERT NER and RE
Pedro Ruas | Andre Lamurias | Francisco M. Couto

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Melaxtech: A report for CLEF 2020 - ChEMU Task of Chemical Reaction Extraction from Patent
Jingqi Wang | Yuankai Ren | Zhi Zhang | Yaoyun Zhang

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CLEF: CheckThat!

Shared Task Website

Overview papers:

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Overview of CheckThat! 2020i Arabic: Automatic Identification and Verification of Claims in Social Media
Maram Hasanain | Fatima Haouari | Reem Suwaileh | Zien Sheikh Ali | Bayan Hamdan | Tamer Elsayed | Alberto Barrón-Cedeño | Giovanni Da San Martino | Preslav Nakov

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Overview of CheckThat! 2020 English: Automatic Identification and Verification of Claims in Social Media
Shaden Shaar | Alex Nikolov | Nikolay Babulkov | Firoj Alam | Alberto Barrón-Cedeño | Tamer Elsayed | Maram Hasanain | Reem Suwaileh | Fatima Haouari | Giovanni Da San Martino | Preslav Nakov

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Overview of CheckThat! 2020: Automatic Identification and Verification of Claims in Social Media
Alberto Barrón-Cedeño | Tamer Elsayed | Preslav Nakov | Giovanni Da San Martino | Maram Hasanain | Reem Suwaileh | Fatima Haouari | Nikolay Babulkov | Bayan Hamdan | Alex Nikolov | Shaden Shaar | Zien Sheikh Ali


Participant papers:

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QMUL-SDS at CheckThat! 2020 Determining COVID-19 Tweet Check-Worthiness Using an Enhanced CT-BERT with Numeric Expressions
Rabab Alkhalifa | Theodore Yoong | Elena Kochkina | Arkaitz Zubiaga | Maria Liakata

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Team Buster.ai at CheckThat! 2020 Insights and Recommendations to Improve Fact-Checking
Mostafa Bouziane | Hugo Perrin | Aurélien Cluzeau | Julien Mardas | Amine Sadeq

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Check_square at CheckThat! 2020 Claim Detection in Social Media via Fusion of Transformer and Syntactic Features
Gullal S. Cheema | Sherzod Hakimov | Ralph Ewerth

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UAICS at CheckThat! 2020 Fact-checking Claim Prioritization
Ciprian-Gabriel Cusmuliuc | Lucia Georgiana Coca | Adrian Iftene

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bigIR at CheckThat! 2020: Multilingual BERT for Ranking Arabic Tweets by Check-worthiness
Maram Hasanain | Tamer Elsayed

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DamascusTeam at CheckThat! 2020: Check Worthiness on Twitter with Hybrid CNN and RNN Models
Ahmad Hussein | Abdulkarim Hussein | Nada Ghneim | Ammar Joukhadar

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TOBB ETU at CheckThat! 2020: Prioritizing English and Arabic Claims Based on Check-Worthiness
Yavuz Selim Kartal | Mücahid Kutlu

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SSN_NLP at CheckThat! 2020: Tweet Check Worthiness Using Transformers, Convolutional Neural Networks and Support Vector Machines
Sachin Krishan Thyaharajan | Kayalvizhi Sampath | Thenmozhi Durairaj | Rishivardhan Krishnamoorthy

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NLP&IR@UNED at CheckThat! 2020: A Preliminary Approach for Check-Worthiness and Claim Retrieval Tasks using Neural Networks and Graphs
Juan R. Martinez-Rico | Lourdes Araujo | Juan Martínez-Romo

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The University of Sheffield at CheckThat! 2020: Claim Identification and Verification on Twitter
Thomas McDonald | Ziqing Dong | Yingji Zhang | Rebekah Hampson | James Young | Qianyu Cao | Jochen L. Leidner | Mark Stevenson

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Team Alex at CLEF CheckThat! 2020: Identifying Check-Worthy Tweets With Transformer Models
Alex Nikolov | Giovanni Da San Martino | Ivan Koychev | Preslav Nakov

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UNIPI-NLE at CheckThat! 2020: Approaching Fact Checking from a Sentence Similarity Perspective Through the Lens of Transformers
Lucia C. Passaro | Alessandro Bondielli | Alessandro Lenci | Francesco Marcelloni

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TIET at CLEF CheckThat! 2020: Verified Claim Retrieval
Utsav Shukla | Aayushmaan Sharma

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UB_ET at CheckThat! 2020: Exploring Ad hoc Retrieval Approaches in Verified Claims Retrieval
Edwin Thuma | Nkwebi Peace Motlogelwa | Tebo Leburu-Dingalo | Monkgogi Mudongo

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EvolutionTeam at CLEF2020 - CheckThat! lab : Integration of Linguistic and Sentimental Features in a Fake News Detection Approach
Ibtissam Touahri | Azzeddine Mazroui

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Accenture at CheckThat! 2020: If you say so: Post-hoc fact-checking of Claims using Transformer-based Models
Evan M. Williams | Paul Rodrigues | Valerie Novak

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CLEF: HIPE

Shared Task Website

Overview papers:

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Extended Overview of CLEF HIPE 2020: Named Entity Processing on Historical Newspapers
Maud Ehrmann | Matteo Romanello | Alex Flückiger | Simon Clematide

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Overview of CLEF HIPE 2020: Named Entity Recognition and Linking on Historical Newspapers
Maud Ehrmann | Matteo Romanello | Alex Flückiger | Simon Clematide


Participant papers:

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Robust Named Entity Recognition and Linking on Historical Multilingual Documents
Emanuela Boros | Elvys Linhares Pontes | Luis Adrián Cabrera-Diego | Ahmed Hamdi | Jose G. Moreno | Nicolas Sidère | Antoine Doucet

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Hybrid Statistical and Attentive Deep Neural Approach for Named Entity Recognition in Historical Newspapers
Ghaith Dekhili | Fatiha Sadat

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IRISA System for Entity Detection and Linking at CLEF HIPE 2020
Cheikh Brahim El Vaigh | Guillaume Le Noé-Bienvenu | Guillaume Gravier | Pascale Sébillot

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Experiments from LIMSI at the French Named Entity Recognition Coarse-grained Task
Sahar Ghannay | Cyril Grouin | Thomas Lavergne

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DeLFT and Entity-fishing: Tools for CLEF HIPE 2020 Shared Task
Tanti Kristanti | Laurent Romary

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Named Entity Disambiguation and Linking Historic Newspaper OCR with BERT
Kai Labusch | Clemens Neudecker

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Adapting a Pre-Neural Named Entity Recognizer and Linker to Historical Data
Damien Nouvel | Jean-Claude Zagabe Seruti

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SinNer@Clef-Hipe2020 : Sinful adaptation of SotA models for Named Entity Recognition in French and German
Pedro Javier Ortiz Suárez | Yoann Dupont | Gaël Lejeune | Tian Tian

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Named Entity Recognition and Linking on Historical Newspapers: UvA.ILPS & REL at CLEF HIPE 2020
Vera Provatorova | Svitlana Vakulenko | Evangelos Kanoulas | Koen Dercksen | Johannes M. van Hulst

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Triple E - Effective Ensembling of Embeddings and Language Models for NER of Historical German
Stefan Schweter | Luisa März

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Transfer Learning for Named Entity Recognition in Historical Corpora
Konstantin Todorov | Giovanni Colavizza

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CLEF: ImageCLEF

Shared Task Website

Overview papers:

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Overview of ImageCLEF Lifelog 2020: Lifelog Moment Retrieval and Sport Performance Lifelog
Van-Tu Ninh | Tu-Khiem Le | Liting Zhou | Luca Piras | Michael Riegler | Pål Halvorsen | Mathias Lux | Minh-Triet Tran | Cathal Gurrin | Duc-Tien Dang-Nguyen

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Overview of the VQA-Med Task at ImageCLEF 2020: Visual Question Answering and Generation in the Medical Domain
Asma Ben Abacha | Vivek V. Datla | Sadid A. Hasan | Dina Demner-Fushman | Henning Müller

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Overview of the 2020 ImageCLEFdrawnUI Task: Detection and Recognition of Hand Drawn Website UIs
Dimitri Fichou | Raul Berari | Paul Brie | Mihai Dogariu | Liviu-Daniel Stefan | Mihai Gabriel Constantin | Bogdan Ionescu

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Overview of the ImageCLEFmed 2020 Concept Prediction Task: Medical Image Understanding
Obioma Pelka | Christoph M. Friedrich | Alba García Seco de Herrera | Henning Müller

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Overview of the ImageCLEFcoral 2020 Task: Automated Coral Reef Image Annotation
Jon Chamberlain | Antonio Campello | Jessica P. Wright | Louis G. Clift | Adrian F. Clark | Alba García Seco de Herrera

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Overview of ImageCLEFtuberculosis 2020 Automatic CT-based Report Generation
Serge Kozlovski | Vitali Liauchuk | Yashin Dicente Cid | Aleh Tarasau | Vassili Kovalev | Henning Müller

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Overview of the ImageCLEF 2020: Multimedia Retrieval in Medical, Lifelogging, Nature, and Internet Applications
Bogdan Ionescu | Henning Müller | Renaud Péteri | Asma Ben Abacha | Vivek V. Datla | Sadid A. Hasan | Dina Demner-Fushman | Serge Kozlovski | Vitali Liauchuk | Yashin Dicente Cid | Vassili Kovalev | Obioma Pelka | Christoph M. Friedrich | Alba García Seco de Herrera | Van-Tu Ninh | Tu-Khiem Le | Liting Zhou | Luca Piras | Michael Riegler | Pål Halvorsen | Minh-Triet Tran | Mathias Lux | Cathal Gurrin | Duc-Tien Dang-Nguyen | Jon Chamberlain | Adrian F. Clark | Antonio Campello | Dimitri Fichou | Raul Berari | Paul Brie | Mihai Dogariu | Liviu-Daniel Stefan | Mihai Gabriel Constantin


Participant papers:

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The Inception Team at VQA-Med 2020: Pretrained VGG with Data Augmentation for Medical VQA and VQG
Aisha Al-Sadi | Hana' Al-Theiabat | Mahmoud Al-Ayyoub

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The Effects of Colour Enhancement and IoU Optimisation on Object Detection and Segmentation of Coral Reef Structures
Marina Arendt | Johannes Rückert | Raphael Brüngel | Christopher Brumann | Christoph M. Friedrich

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ImageCLEF 2020: Image Caption Prediction using Multilabel Convolutional Neural Network
Sarada Devi Arul | Kavitha Srinivasan

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ImageCLEF 2020: Deep Learning for Tuberculosis in Chest CT Image Analysis based on multi-axis projections
Tetsuya Asakawa | Masaki Aono

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Deep Learning based TB Severity Prediction
Ujjwel Balwal | Srinivasa Arun Yeragudipati | Bhuvana Jayaraman | Mirnalinee Thanga Nadar Thanga Thai

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Automatic Approach For Lifelog Moments Retrieval using Transfer Learning and Rule-based Matching
Fatma Ben Abdallah | Ghada Feki | Ons Saadallah | Amine Jarraya | Chokri Ben Amar

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Enhanced Localization and Classification of Coral Reef Structures and Compositions
Kirill Bogomasov | Philipp Grawe | Stefan Conrad

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Chejiao at ImageCLEFmed Tuberculosis 2020: CT Report Generation Based on Transfer learning
Jiao Che | Haiyan Ding | Xiaobing Zhou

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HCP-MIC at VQA-Med 2020: Effective Visual Representation for Medical Visual Question Answering
Guanqi Chen | Haifan Gong | Guanbin Li

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UAIC2020: Lung Analysis for Tuberculosis Detection
Lucia Georgiana Coca | Alexandra Hanganu | Ciprian-Gabriel Cusmuliuc | Adrian Iftene

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Essex at ImageCLEFcaption 2020 Task
Alba García Seco de Herrera | Francisco Parrilla Andrade | Luke Bentley | Arely Aceves Compean

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Automatic Coral Detection using Neural Networks
Ivan Gruber | Jakub Straka

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HTML Atomic UI Elements Extraction from Hand-Drawn Website Images using Mask-RCNN and novel Multi-Pass Inference Technique
Prasang Gupta | Swayambodha Mohapatra

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bumjun_jung at VQA-Med 2020: VQA Model Based on Feature Extraction and Multi-modal Feature Fusion
Bumjun Jung | Lin Gu | Tatsuya Harada

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A Competitive Deep Neural Network Approach for the ImageCLEFmed Caption 2020 Task
Marimuthu Kalimuthu | Fabrizio Nunnari | Daniel Sonntag

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AUEB NLP Group at ImageCLEFmed Caption 2020
Basil Karatzas | John Pavlopoulos | Vasiliki Kougia | Ion Androutsopoulos

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Organiser Team at ImageCLEFlifelog 2020: A Baseline Approach for Moment Retrieval and Athlete Performance Prediction using Lifelog Data
Tu-Khiem Le | Van-Tu Ninh | Liting Zhou | Minh-Huy Nguyen-Ngoc | Huu-Duc Trinh | Nguyen-Hien Tran | Luca Piras | Michael Riegler | Pål Halvorsen | Mathias Lux | Minh-Triet Tran | Graham Healy | Cathal Gurrin | Duc-Tien Dang-Nguyen

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SZTAKI @ ImageCLEFmed 2020 Tuberculosis Task
Bence Lestyan | András A. Benczúr | Bálint Daróczy

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AIML at VQA-Med 2020: Knowledge Inference via a Skeleton-based Sentence Mapping Approach for Medical Domain Visual Question Answering
Zhibin Liao | Qi Wu | Chunhua Shen | Anton van den Hengel | Johan Verjans

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Shengyan at VQA-Med 2020: An Encoder-Decoder Model for Medical Domain Visual Question Answering Task
Shengyan Liu | Haiyan Ding | Xiaobing Zhou

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ImageCLEF2020: Laterality-Reduction Three-Dimensional CBAM-Resnet with Balanced Sampler for Multi-Binary Classification of Tuberculosis and CT Auto Reports
Xing Lu | Eric Y. Chang | Zhaohui Liu | Chun-Nan Hsu | Jiang Du | Amilcare Gentili

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Multi-Label and Cross-Modal Based Concept Detection in Biomedical Images by MORGAN_CS at ImageCLEF2020
Oyebisi Layode | Md Mahmudur Rahman

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Leverage the Predictive Power Score of Lifelog Data's Attributes to Predict the Expected Athlete Performance
Anh-Vu Mai-Nguyen | Van-Luon Tran | Minh-Son Dao | Koji Zettsu

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Revealing Lung Affections from CTs. A Comparative Analysis of Various Deep Learning Approaches for Dealing with Volumetric Data
Radu Miron | Cosmin Moisii | Mihaela Breaban

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Ensemble of Deep Learning Models for Automatic Tuberculosis Diagnosis Using Chest CT Scans: Contribution to the ImageCLEF-2020 Challenges
Abdela Ahmed Mossa | Halit Eris | Ulus Çevik

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Deep Learning for UI Element Detection: DrawnUI 2020
Naveen Narayanan | Nitin Nikamanth Appiah Balaji | Kavya Jaganathan

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ImageCLEF 2020: An approach for Visual Question Answering using VGG-LSTM for Different Datasets
Sheerin Sitara Noor Mohamed | Kavitha Srinivasan

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Coral Reef Annotation, Localisation and Pixel-wise Classification using Mask-RCNN and Bag of Tricks
Lukás Picek | Antonín Ríha | Ales Zita

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UA.PT Bioinformatics at ImageCLEF 2020: Lifelog Moment Retrieval Web based Tool
Ricardo F. Ribeiro | Júlio Silva | Alina Trifan | José Luís Oliveira | António J. R. Neves

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NLM at VQA-Med 2020: Visual Question Answering and Generation in the Medical Domain
Mourad Sarrouti

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Techniques for Medical Concept Detection from Multi-Modal Images
Rohit Sonker | Ayush Mishra | Palvika Bansal | Anup Pattnaik

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An Interactive Atomic-cluster Watershed-based System for Lifelog Moment Retrieval
Van-Luon Tran | Trong-Dat Phan | Anh-Vu Mai-Nguyen | Anh-Khoa Vo | Minh-Son Dao | Koji Zettsu

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An Interactive Atomic-cluster Watershed-based System for Lifelog Moment Retrieval
Van-Luon Tran | Trong-Dat Phan | Anh-Vu Mai-Nguyen | Anh-Khoa Vo | Minh-Son Dao | Koji Zettsu

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Lifelog Moment Retrieval with Self-Attention based Joint Embedding Model
Hoang-Phuc Trang-Trung | Hoang-Anh Le | Minh-Triet Tran

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Concept Detection in Medical Images using Xception Models - TUCMC at ImageCLEFmed 2020
Nisnab Udas | Frederik Beuth | Danny Kowerko

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kdevqa at VQA-Med 2020: Focusing on GLU-based Classification
Hideo Umada | Masaki Aono

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HARENDRAKV at VQA-Med 2020: Sequential VQA with Attention for Medical Visual Question Answering
Harendra Verma | Sindhu Ramachandran

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Lung-Wise Tuberculosis Analysis and Automatic CT Report Generation with Hybrid Feature and Ensemble Learning
Muhammad Waqas | Zeshan Khan | Shaheer Anjum | Muhammad Atif Tahir

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Sketch2Code: Automatic hand-drawn UI Elements Detection with Faster-RCNN
Ales Zita | Lukás Picek | Antonín Ríha

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CLEF: LifeCLEF

Shared Task Website

Overview papers:

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Overview of LifeCLEF Plant Identification task 2020
Hervé Goëau | Pierre Bonnet | Alexis Joly

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Overview of the SnakeCLEF 2020: AutomaticSnake Species Identification Challenge
Lukás Picek | Isabelle Bolon | Andrew Durso | Rafael Luis Ruiz De Castañeda

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Overview of BirdCLEF 2020: Bird Sound Recognition in Complex Acoustic Environments
Stefan Kahl | Mary Clapp | W. Alexander Hopping | Hervé Goëau | Hervé Glotin | Robert Planqué | Willem-Pier Vellinga | Alexis Joly

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Overview of LifeCLEF Location-based Species Prediction Task 2020 (GeoLifeCLEF)
Benjamin Deneu | Titouan Lorieul | Elijah Cole | Maximilien Servajean | Christophe Botella | Pierre Bonnet | Alexis Joly

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Overview of LifeCLEF 2020: A System-Oriented Evaluation of Automated Species Identification and Species Distribution Prediction
Alexis Joly | Hervé Goëau | Stefan Kahl | Benjamin Deneu | Maximilien Servajean | Elijah Cole | Lukás Picek | Rafael Luis Ruiz De Castañeda | Isabelle Bolon | Andrew Durso | Titouan Lorieul | Christophe Botella | Hervé Glotin | Julien Champ | Ivan Eggel | Willem-Pier Vellinga | Pierre Bonnet | Henning Müller


Participant papers:

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Xception Based Method for Bird Sound Recognition of BirdCLEF 2020
Jisheng Bai | Chen Chen | Jianfeng Chen

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Combination of Image and Location Information for Snake Species Identification using Object Detection and EfficientNets
Louise Bloch | Adrian Boketta | Christopher Keibel | Eric Mense | Alex Michailutschenko | Obioma Pelka | Johannes Rückert | Leon Willemeit | Christoph M. Friedrich

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Herbarium-Field Triplet Network for Cross-domain Plant Identification. NEUON Submission to LifeCLEF 2020 Plant
Sophia Chulif | Yang Loong Chang

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Using Triplet Loss for Bird Species Recognition on BirdCLEF 2020
Thailsson Clementino | Juan Colonna

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Participation of LIRMM / Inria to the GeoLifeCLEF 2020 Challenge
Benjamin Deneu | Maximilien Servajean | Pierre Bonnet | François Munoz | Alexis Joly

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Impact of Pretrained Networks For Snake Species Classification
Moorthy Gokula Krishnan

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Plant Species Identification Using Transfer Learning - PlantCLEF 2020
Nanda H. Krishna | Rakesh M | Ram Kaushik R

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Bird Species Recognition via Neural Architecture Search
Markus Mühling | Jakob Franz | Nikolaus Korfhage | Bernd Freisleben

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Domain Adaptation in the Context of Herbarium Collections: A submission to PlantCLEF 2020
Juan Villacis-Llobet | Hervé Goëau | Pierre Bonnet | Alexis Joly | Erick Mata-Montero

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Adversarial Consistent Learning on Partial Domain Adaptation of PlantCLEF 2020 Challenge
Youshan Zhang | Brian D. Davison

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CLEF: PAN

Shared Task Website

Overview papers:

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Overview of the Style Change Detection Task at PAN 2020
Eva Zangerle | Maximilian Mayerl | Günther Specht | Martin Potthast | Benno Stein

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Overview of the Celebrity Profiling Task at PAN 2020
Matti Wiegmann | Benno Stein | Martin Potthast

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Shared Tasks on Authorship Analysis at PAN 2020
Janek Bevendorff | Bilal Ghanem | Anastasia Giachanou | Mike Kestemont | Enrique Manjavacas | Martin Potthast | Francisco M. Rangel Pardo | Paolo Rosso | Günther Specht | Efstathios Stamatatos | Benno Stein | Matti Wiegmann | Eva Zangerle

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Overview of the 8th Author Profiling Task at PAN 2020: Profiling Fake News Spreaders on Twitter
Francisco M. Rangel Pardo | Anastasia Giachanou | Bilal Ghanem | Paolo Rosso

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Overview of PAN 2020: Authorship Verification, Celebrity Profiling, Profiling Fake News Spreaders on Twitter, and Style Change Detection
Janek Bevendorff | Bilal Ghanem | Anastasia Giachanou | Mike Kestemont | Enrique Manjavacas | Ilia Markov | Maximilian Mayerl | Martin Potthast | Francisco M. Rangel Pardo | Paolo Rosso | Günther Specht | Efstathios Stamatatos | Benno Stein | Matti Wiegmann | Eva Zangerle


Participant papers:

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KU-CST at the Profiling Fake News spreaders Shared Task
Manex Agirrezabal

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A Deep Learning Model to Predict Gender, Age and Occupation of the Celebrities based on Tweets Followers
Roobaea Alroobaea | Ahmed H. Almulihi | Fahd S. Alharithi | Seifeddine Mechti | Moez Krichen | Lamia Hadrich Belguith

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Siamese Network applied to Authorship Verification
Emir Araujo-Pino | Helena Gómez-Adorno | Gibran Fuentes Pineda

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LSACoNet: A Combination of Lexical and Conceptual Features for Analysis of Fake News Spreaders on Twitter
Hamed Babaei Giglou | Jafar Razmara | Mostafa Rahgouy | Mahsa Sanaei

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Fake News Spreader Detection using Neural Tweet Aggregation
Oleg Bakhteev | Aleksandr Ogaltsov | Petr Ostroukhov

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Automatic Detection of Fake News Spreaders Using BERT
Arup Baruah | Kaushik Amar Das | Ferdous A. Barbhuiya | Kuntal Dey

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Deep Bayes Factor Scoring for Authorship Verification
Benedikt T. Boenninghoff | Julian Rupp | Robert M. Nickel | Dorothea Kolossa

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An Ensemble Model Using N-grams and Statistical Features to Identify Fake News Spreaders on Twitter
Jakab Buda | Flora Bolonyai

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Fake News Spreaders Profiling Through Behavioural Analysis
Matteo Cardaioli | Stefano Cecconello | Mauro Conti | Luca Pajola | Federico Turrin

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Mixed Style Feature Representation and B-maximal Clustering for Style Change Detection
Daniel Castro-Castro | Carlos Alberto Rodríguez-Lozada | Rafael Muñoz

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Ensemble of ELECTRA for Profiling Fake News Spreaders
Kaushik Amar Das | Arup Baruah | Ferdous Ahmed Barbhuiya | Kuntal Dey

pdf dblp
RMIT at PAN-CLEF 2020: Profiling Fake News Spreaders on Twitter
Xinhuan Duan | Elham Naghizade | Damiano Spina | Xiuzhen Zhang

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Analyzing User Profiles for Detection of Fake News Spreaders on Twitter
María S. Espinosa | Roberto Centeno | Álvaro Rodrigo

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Profiling Fake News Spreaders using Character and Words N-grams
Daniel Yacob Espinosa | Helena Gómez-Adorno | Grigori Sidorov

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Profiling Fake News Spreaders: Stylometry, Personality, Emotions and Embeddings
Elisabetta Fersini | Justin Armanini | Michael D'Intorni

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Authorship Verification with Prediction by Partial Matching and Context-free Grammar
Lukasz Gagala

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Cross-Domain Authorship Verification Based on Topic Agnostic Features
Oren Halvani | Lukas Graner | Roey Regev

pdf dblp
Fake News Spreader Identification in Twitter using Ensemble Modeling. Notebook for PAN at CLEF 2020
Ahmad Hashemi | Mohammad Reza Zarei | Mohammad Reza Moosavi | Mohammad Taheri

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A Multi-Aspect Classification Ensemble Approach for Profiling Fake News Spreaders on Twitter
Clemens Hörtenhuemer | Eva Zangerle

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UniNE at PAN-CLEF 2020: Profiling Fake News Spreaders on Twitter
Catherine Ikae | Jacques Savoy

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UniNE at PAN-CLEF 2020: Author Verification
Catherine Ikae

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Style Change Detection Using BERT
Aarish Iyer | Soroush Vosoughi

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Higher Criticism as an Unsupervised Authorship Discriminator
Alon Kipnis

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Multilingual Detection of Fake News Spreaders via Sparse Matrix Factorization
Boshko Koloski | Senja Pollak | Blaz Skrlj

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Know your Neighbors: Efficient Author Profiling via Follower Tweets
Boshko Koloski | Senja Pollak | Blaz Skrlj

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Fusing Stylistic Features with Deep-learning Methods for Profiling Fake News Spreader
Roberto Labadie | Daniel Castro-Castro | Reynier Ortega Bueno

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Profiling Fake News Spreaders on Twitter based on TFIDF Features and Morphological Process. Notebook for PAN at CLEF 2020
Mohamed Lichouri | Mourad Abbas | Besma Benaziz

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Profiling Fake News Spreaders on Twitter
Álvaro López | Pasqual Martí

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Approaches to the Profiling Fake News Spreaders on Twitter Task in English and Spanish
Jacobo López Fernández | Juan Antonio López Ramírez

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Detecting Fake News Spreaders on Twitter Using Universal Sentence Encoder
Soumayan Bandhu Majumder | Dipankar Das

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Profiling Fake News spreaders through Stylometry and Lexical Features. UniOR NLP @PAN2020
Raffaele Manna | Antonio Pascucci | Johanna Monti

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Assembly of Polarity, Emotion and User Statistics for Detection of Fake Profiles
Luis Gabriel Moreno-Sandoval | Edwin A. Puertas Del Castillo | Alexandra Pomares Quimbaya | Jorge Andrés Alvarado-Valencia

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Detecting Fake News Spreaders with Behavioural, Lexical and Psycholinguistic Features
Héctor Ricardo Murrieta Bello | Lukas Heilmann | Esben Ronan

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Profiling Spreaders of Disinformation on Twitter: IKMLab and Softbank Submission
Timothy Niven | Hung-Yu Kao | Hsin-Yang Wang

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Will Longformers PAN Out for Authorship Verification? Notebook for PAN at CLEF 2020
Juanita Ordoñez | Rafael A. Rivera Soto | Barry Y. Chen

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Identifying Fake News Spreaders in Social Media
Nikhil Pinnaparaju | Vijayasaradhi Indurthi | Vasudeva Varma

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Using N-grams to detect Fake News Spreaders on Twitter
Juan Pizarro

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Celebrity Profiling using Twitter Follower Feeds: Notebook for PAN at CLEF 2020
Samantha Price | Abigail Hodge

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Sadness and Fear: Classification of Fake NewsSpreaders Content on Twitter
Irene Russo

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Profiling Fake News Spreaders on Twitter
Álvaro López | Pasqual Martí

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ULMFiT for Twitter Fake News Spreader Profiling
H. L. Shashirekha | Fazlourrahman Balouchzahi

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Ensemble Model for Profiling Fake News Spreaders on Twitter
H. L. Shashirekha | M. D. Anusha | Nitin S. Prakash

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Detecting Fake News Spreaders in Social Networks via Linguistic and Personality Features
Anu Shrestha | Francesca Spezzano | Abishai Joy

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Fake News Spreader Detection on Twitter using Character N-Grams
Inna Vogel | Meghana Meghana

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Feature Vector Difference based Neural Network and Logistic Regression Models for Authorship Verification
Janith Weerasinghe | Rachel Greenstadt

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A BERT based Two-stage Fake News Spreader Profiling System
Shih-Hung Wu | Sheng-Lun Chien

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CLEF: eRisk

Shared Task Website

Overview papers:

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Overview of eRisk at CLEF 2020: Early Risk Prediction on the Internet (Extended Overview)
David E. Losada | Fabio Crestani | Javier Parapar

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Overview of eRisk 2020: Early Risk Prediction on the Internet
David E. Losada | Fabio Crestani | Javier Parapar


Participant papers:

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Using Surface and Semantic Features for Detecting Early Signs of Self-Harm in Social Media Postings
Linda Achilles | Max Kisselew | Johannes Schäfer | Ralph Kölle

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INAOE-CIMAT at eRisk 2020: Detecting Signs of Self-Harm using Sub-Emotions and Words
Mario Ezra Aragón | Adrián Pastor López-Monroy | Manuel Montes-y-Gómez

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Detection of Early Sign of Self-harm on Reddit using Multi-level Machine
Hojjat Bagherzadeh Hosseinabad | Ehsan Fazl Ersi | Abedin Vahedian

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NLP-UNED at eRisk 2020: Self-harm Early Risk Detection with Sentiment Analysis and Linguistic Features
Elena Campillo Ageitos | Juan Martínez-Romo | Lourdes Araujo

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USDB at eRisk 2020: Deep Learning Models to Measure the Severity of the Signs of Depression using Reddit Posts
Amina Madani | Fatima Boumahdi | Anfel Boukenaoui | Mohamed Chaouki Kritli | Hamza Hentabli

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Early Risk Detection of Self-Harm and Depression Severity using BERT-based Transformers
Rodrigo Martínez-Castaño | Amal Htait | Leif Azzopardi | Yashar Moshfeghi

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Early Mental Health Risk Assessment through Writing Styles, Topics and Neural Models
Diego Maupomé | Maxime D. Armstrong | Raouf Moncef Belbahar | Josselin Alezot | Rhon Balassiano | Marc Queudot | Sébastien Mosser | Marie-Jean Meurs

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BioInfo@UAVR at eRisk 2020: on the Use of Psycholinguistics Features and Machine Learning for the Classification and Quantification of Mental Diseases
Alina Trifan | Pedro Salgado | José Luís Oliveira

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Deep Learning Architectures and Strategies for Early Detection of Self-harm and Depression Level Prediction
Ana Sabina Uban | Paolo Rosso

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FIRE: Authorship Identification of Source Code (AI-SOCO)

Shared Task Website

Overview papers:

pdf dblp
Overview of the PAN@FIRE 2020 Task on the Authorship Identification of SOurce COde
Ali Fadel | Husam Musleh | Ibraheem Tuffaha | Mahmoud Al-Ayyoub | Yaser Jararweh | Elhadj Benkhelifa | Paolo Rosso

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Overview of the PAN@FIRE 2020 Task on the Authorship Identification of SOurce COde
Ali Fadel | Husam Musleh | Ibraheem Tuffaha | Mahmoud Al-Ayyoub | Yaser Jararweh | Elhadj Benkhelifa | Paolo Rosso


Participant papers:

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UoB at AI-SOCO 2020: Approaches to Source Code Classification and the Surprising Power of n-grams
Alexander Crosby | Harish Tayyar Madabushi

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N-gram-based Authorship Identification of Source Code
Yunpeng Yang | Leilei Kong | Zhongyua Han | Yong Han | Haoliang Qi

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Team Alexa at Authorship Identification of SOurce Code (AI-SOCO)
Mutaz Bni Younes | Nour Al-Khdour

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Boosting a kNN Classifier by improving Feature Extraction for Authorship Identification of Source Code
Yves Bestgen

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Ranking-based and Classification-based Approaches for Code Author Identification
Zhongyuan Han | Tang Li | Xiangyu Wang | Yujie Xu | Menghan Wu | Zhiran Li | Zhengyu Wu | Yong Han

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UMUTeam at AI-SOCO'2020: Source Code Authorship Identification based on Character N-Grams and Author's Traits
José Antonio García-Díaz | Rafael Valencia-García

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Embedding-based Authorship Identification of Source Code
Asrita Venkata Mandalam | Abhishek

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Source Code Authorship Attribution using Stacked classifier
Chanchal Suman | Ayush Raj | Sriparna Saha | Pushpak Bhattacharyya

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Kode_Stylers: Author Identification through Naturalness of Code: An Ensemble Approach
Panyawut Sriiesaranusorn | Supatsara Wattanakriengkrai | Teyon Son | Takeru Tanaka | Christopher Wiraatmaja | Takashi Ishio | Raula Gaikovina Kula

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SSNCSE_NLP@Authorship Identification of SOurce COde (AI-SOCO) 2020
Nitin Nikamanth Appiah Balaji | B. Bharathi

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FIRE: Dravidian CodeMix Hate Speech and Offensive Content Identification in Indo-European Languages (Dravdian-CodeMix-HASOC)

Shared Task Website

Overview papers:

pdf dblp
Overview of the track on Sentiment Analysis for Dravidian Languages in Code-Mixed Text
Bharathi Raja Chakravarthi | Ruba Priyadharshini | Vigneshwaran Muralidaran | Shardul Suryawanshi | Navya Jose | Elizabeth Sherly | John P. McCrae

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Overview of the track on Sentiment Analysis for Dravidian Languages in Code-Mixed Text
Bharathi Raja Chakravarthi | Ruba Priyadharshini | Vigneshwaran Muralidaran | Shardul Suryawanshi | Navya Jose | Elizabeth Sherly | John P. McCrae


Participant papers:

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JUNLP@Dravidian-CodeMix-FIRE2020: Sentiment Classification of Code-Mixed Tweets using Bi-Directional RNN and Language Tags
Sainik Kumar Mahata | Dipankar Das | Sivaji Bandyopadhyay

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MUCS@Dravidian-CodeMix-FIRE2020: SACO-SentimentsAnalysis for CodeMix Text
Fazlourrahman Balouchzahi | H. L. Shashirekha

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Bits2020@Dravidian-CodeMix-FIRE2020: Sub-Word Level Sentiment Analysis of Dravidian Code Mixed Data
Yashvardhan Sharma | Asrita Venkata Mandalam

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CMSAOne@Dravidian-CodeMix-FIRE2020: A Meta Embedding and Transformer model for Code-Mixed Sentiment Analysis on Social Media Text
Suman Dowlagar | Radhika Mamidi

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HIT_SUN@Dravidian-CodeMix-FIRE2020: Sentiment Analysis on Multilingual Code-Mixing Text Base on BERT
Huilin Sun | Jiaming Gao | Fang Sun

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JudithJeyafreeda@Dravidian-CodeMix-FIRE2020: Sentiment Analysis of YouTube Comments for Dravidian Languages
Judith Jeyafreeda Andrew

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SSN_NLP_MLRG@Dravidian-CodeMix-FIRE2020: Sentiment Code-Mixed Text Classification in Tamil and Malayalam using ULMFiT
Adaikkan Kalaivani | Durairaj Thenmozhi

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IRLab@IITBHU@Dravidian-CodeMix-FIRE2020: Sentiment Analysis for Dravidian Languages in Code-Mixed Text
Supriya Chanda | Sukomal Pal

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PITS@Dravidian-CodeMix-FIRE2020: Traditional Approach to Noisy Code-Mixed Sentiment Analysis
Nikita Kanwar | Megha Agarwal | Rajesh Kumar Mundotiya

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SRJ @ Dravidian-CodeMix-FIRE2020: Automatic Classification and Identification Sentiment in Code-mixed Text
Ruijie Sun | Xiaobing Zhou

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SSNCSE_NLP@Dravidian-CodeMix-FIRE2020: Sentiment Analysis for Dravidian Languages in Code-Mixed Text
Nitin Nikamanth Appiah Balaji | B. Bharathi | Bhuvana J

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YNU@Dravidian-CodeMix-FIRE2020: XLM-RoBERTa for Multi-language Sentiment Analysis
Xiaozhi Ou | Hongling Li

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CIA_NITT@Dravidian-CodeMix-FIRE2020: Malayalam-English Code Mixed Sentiment Analysis Using Sentence BERT And Sentiment Features
Yandrapati Prakash Babu | Rajagopal Eswari | K. Nimmi

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LucasHub@Dravidian-CodeMix-FIRE2020: Sentiment Analysis on Multilingual Code Mixing Text with M-BERT and XLM-RoBERTa
Bo Huang | Yang Bai

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NITP-AI-NLP@Dravidian-CodeMix-FIRE2020: A Hybrid CNN and Bi-LSTM Network for Sentiment Analysis of Dravidian Code-Mixed Social Media Posts
Abhinav Kumar | Sunil Saumya | Jyoti Prakash Singh

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SA_SVG@Dravidian-CodeMix-FIRE2020: Deep Learning Based Sentiment Analysis in Code-mixed Tamil-English Text
Anbukkarasi S | Varadhaganapathy S

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IRLab@IITV@Dravidian-CodeMix-FIRE2020: Sentiment Analysis on Multilingual Code Mixing Text Using BERT-BASE
Anita Saroj | Sukomal Pal

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UMSNH-INFOTEC@Dravidian-CodeMix-FIRE2020: An ensemble approach based on a multiple text representations
José Ortiz-Bejar | Jesus Ortiz-Bejar | Jaime Cerda-Jacabo | Mario Graff | Eric Sadit Tellez

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TADS@Dravidian-CodeMix-FIRE2020: Sentiment Analysis on CodeMix Dravidian Language
Deepesh Sharma

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Parameswari_faith_nagaraju@Dravidian-CodeMix-FIRE: A machine-learning approach using n-grams in sentiment analysis for code-mixed texts: A case study in Tamil and Malayalam
Parameswari Krishnamurthy | Faith Varghese | Nagaraju Vuppala

pdf dblp
YUN111@Dravidian-CodeMix-FIRE2020: Sentiment Analysis of Dravidian Code Mixed Text
Yueying Zhu | Kunjie Dong

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Theedhum Nandrum@Dravidian-CodeMix-FIRE2020: A Sentiment Polarity Classifier for YouTube Comments with Code-switching between Tamil Malayalam and English
BalaSundaraRaman Lakshmanan | Sanjeeth Kumar Ravindranath

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NUIG-Shubhanker@Dravidian-CodeMix- FIRE2020: Sentiment Analysis of Code-Mixed Dravidian text using XLNet
Shubhanker Banerjee | Arun Jayapal | Sajeetha Thavareesan

up

FIRE: Hate Speech and Offensive Content Identification in Indo-European Languages (HASOC)

Shared Task Website

Overview papers:

pdf dblp
Overview of the HASOC track at FIRE 2020: Hate Speech and Offensive Content Identification in Indo-European Languages
Thomas Mandl | Sandip Modha | Gautam Kishore Shahi | Amit Kumar Jaiswal | Durgesh Nandini | Daksh Patel | Prasenjit Majumder | Johannes Schäfer

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Overview of the track on HASOC-Offensive Language Identification-DravidianCodeMix
Bharathi Raja Chakravarthi | Anand Kumar M | John P. McCrae | B. Premjith | K. P. Soman | Thomas Mandl

doi dblp
Overview of the HASOC Track at FIRE 2020: Hate Speech and Offensive Language Identification in Tamil, Malayalam, Hindi, English and German
Thomas Mandl | Sandip Modha | Anand Kumar M | Bharathi Raja Chakravarthi


Participant papers:

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YNU_OXZ at HASOC 2020: Multilingual Hate Speech and Offensive Content Identification based on XLM-RoBERTa
Xiaozhi Ou | Hongling Li

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Leveraging Multilingual Transformers for Hate Speech Detection
Sayar Ghosh Roy | Ujwal Narayan | Tathagata Raha | Zubair Abid | Vasudeva Varma

pdf dblp
IIIT_DWD@HASOC 2020: Identifying offensive content in Indo-European languages
Ankit Kumar Mishra | Sunil Saumya | Abhinav Kumar

pdf dblp
LAs for HASOC - Learning Approaches for Hate Speech and Offensive Content Identification
Fazlourrahman Balouchzahi | H. L. Shashirekha

pdf dblp
Astralis @ HASOC 2020: Analysis On Identification Of Hate Speech In Indo-European Languages With Fine-Tuned Transformers
Hiren Madhu | Shrey Satapara | Harsh Rathod

pdf dblp
NSIT & IIITDWD @ HASOC 2020: Deep learning model for hate-speech identification in Indo-European languages
Roushan Raj | Shivangi Srivastava | Sunil Saumya

pdf dblp
JU at HASOC 2020: Deep Learning with RoBERTa and Random Forest for Hate Speech and Offensive Content Identification in Indo-European Languages
Biswarup Ray | Avishek Garain

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Chrestotes@HASOC 2020: Bert Fine-tuning for the Identification of Hate Speech and Offensive Language in Indo-European Languages
Tochukwu Ezike | Manikan Sivanesan

pdf dblp
HASOCOne@FIRE-HASOC2020: Using BERT and Multilingual BERT models for Hate Speech Detection
Suman Dowlagar | Radhika Mamidi

pdf dblp
Zeus at HASOC 2020: Hate speech detection based on ALBERT-DPCNN
Siyao Zhou | Rui Fu | Jie Li

pdf dblp
ZYJ at HASOC 2020: ALBERT-Based Model for Hate Speech and Offensive Content Identification
Yingjia Zhao | Xin Tao

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Lee@HASOC2020: ALBERT-based Max Ensemble with Self-training for Identifying Hate Speech and Offensive Content in Indo-European Languages
Junyi Li | Tianzi Zhao

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YUN_DE at HASOC2020 subtask A: Multi-Model Ensemble Learning for Identifying Hate Speech and Offensive Language
Zichen Zhang | Yuhang Wu | Hao Wu

pdf dblp
Huiping Shi@HASOC 2020: Multi-Top k Self-Attention with K-Max pooling for discrimination between Hate profane and offensive posts
Huiping Shi | Xiaobing Zhou

pdf dblp
Hub@HASOC 2020: Fine-tuning Pre-Trained Transformer Language Models for Hate Speech and Offensive Content Identification in Indo-European Languages
Bo Huang | Yang Bai

pdf dblp
HRS-TECHIE@Dravidian-CodeMix and HASOC-FIRE2020: Sentiment Analysis and Hate Speech Identification using Machine Learning Deep Learning and Ensemble Models
Sridhar Swaminathan | Hari Krishnan Ganesan | Radhakrishnan Pandiyarajan

pdf dblp
An Ensemble Model for Hate Speech and Offensive Content Identification in Indo-European Languages
M. D. Anusha | H. L. Shashirekha

pdf dblp
IRIT-PREVISION AT HASOC 2020: Fine-tuning BERT for Hate Speech and Offensive Content Identification
Josiane Mothe | Pratik Parikh | Faneva Ramiandrisoa

pdf dblp
NITP-AI-NLP@HASOC-FIRE2020: Fine Tuned BERT for the Hate Speech and Offensive Content Identification from Social Media
Abhinav Kumar | Sunil Saumya | Jyoti Prakash Singh

pdf dblp
HateDetectors at HASOC 2020: Hate Speech Detection using Classical Machine learning and Transfer learning based approaches
Varsha Reddy | Surendra Telidevara

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Simon@HASOC 2020: Detecting Hate Speech and Offensive Content in German Language with BERT and Ensembles
Qinyu Que | Ruijie Sun | Shasha Xie

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Hate Speech and Offensive Content Identification: LSTM Based Deep Learning Approach @ HASOC 2020
Baidya Nath Saha | Apurbalal Senapati

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TUB at HASOC 2020: Character based LSTM for Hate Speech Detection in Indo-European Languages
Salar Mohtaj | Vinicius Woloszyn | Sebastian Möller

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DLRG@HASOC 2020: A Hybrid Approach for Hate and Offensive Content Identification in Multilingual Tweets
Yashwanth Reddy B. | Ratnavel Rajalakshmi

pdf dblp
yasuo at HASOC2020: Fine-tune XML-RoBERTa for Hate Speech Identification
Li Xu | Jun Xeng | Shi Chen

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AI_ML_NIT_Patna @HASOC 2020: BERT Models for Hate Speech Identification in Indo-European Languages
Kirti Kumari | Jyoti Prakash Singh

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CFILT IIT Bombay at HASOC 2020: Joint multitask learning of multilingual hate speech and offensive content detection system
Pankaj Singh | Pushpak Bhattacharyya

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NLP-CIC at HASOC 2020: Multilingual Offensive Language Detection using All-in-one Model
Segun Taofeek Aroyehun | Alexander F. Gelbukh

pdf dblp
Siva@HASOC-Dravidian-CodeMix-FIRE-2020: Multilingual Offensive Speech Detection in Code-mixed and Romanized Text
Siva Sai | Yashvardhan Sharma

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CUSAT_NLP@HASOC-Dravidian-CodeMix-FIRE2020: Identifying Offensive Language from Manglish Tweets
Sara Renjit | Sumam Mary Idicula

pdf dblp
KBCNMUJAL@HASOC-Dravidian-CodeMix-FIRE2020: Using Machine Learning for Detection of Hate Speech and Offensive Codemix Social Media text
Varsha M. Pathak | Manish Joshi | Prasad Joshi | Monica Mundada | Tanmay Joshi

pdf dblp
Gauravarora@HASOC-Dravidian-CodeMix- FIRE2020: Pre-training ULMFiT on Synthetically Generated Code-Mixed Data for Hate Speech Detection
Gaurav Arora

pdf dblp
SSNCSE_NLP@HASOC-Dravidian-CodeMix-FIRE2020: Offensive Language Identification on Multilingual Code Mixing Text
Nitin Nikamanth Appiah Balaji | B. Bharathi

pdf dblp
CENMates@HASOC-Dravidian-CodeMix-FIRE2020: Offensive Language Identification on Code-mixed Social Media Comments
Veena P. V | Praveena Ramanan | Remmiya Devi G

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NITP-AI-NLP@HASOC-Dravidian-CodeMix-FIRE2020: A Machine Learning Approach to Identify Offensive Languages from Dravidian Code-Mixed Text
Abhinav Kumar | Sunil Saumya | Jyoti Prakash Singh

pdf dblp
YUN@HASOC-Dravidian-CodeMix-FIRE2020: A Multi-component Sentiment Analysis Model for Offensive Language Identification
Kunjie Dong | Yao Wang

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Zyy1510@HASOC-Dravidian-CodeMix-FIRE2020: An Ensemble Model for Offensive Language Identification
Yueying Zhu | Xiaobing Zhou

pdf dblp
Ajees@HASOC-Dravidian-CodeMix-FIRE2020
Ajees A. P

pdf dblp
CFILT IIT Bombay@HASOC-Dravidian-CodeMix FIRE 2020: Assisting ensemble of transformers with random transliteration
Pankaj Singh | Pushpak Bhattacharyya

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WLV-RIT at HASOC-Dravidian-CodeMix-FIRE2020: Offensive Language Identification in Code-switched YouTube Comments
Tharindu Ranasinghe | Sarthak Gupte | Marcos Zampieri | Ifeoma Nwogu

pdf dblp
IIITG-ADBU@HASOC-Dravidian-CodeMix-FIRE2020: Offensive Content Detection in Code-Mixed Dravidian Text
Arup Baruah | Kaushik Amar Das | Ferdous Ahmed Barbhuiya | Kuntal Dey

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TREC: Conversational Assistance (CAsT)

Shared Task Website

Overview papers:

pdf dblp
CAsT 2020: The Conversational Assistance Track Overview
Jeffrey Dalton | Chenyan Xiong | Jamie Callan


Participant papers:

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Query Expansion with Semantic-Based Ellipsis Reduction for Conversational IR
Chia-Yuan Chang | Ning Chen | Wei-Ting Chiang | Chih-Hen Lee | Yu-Hsuan Tseng | Chuan-Ju Wang | Hsien-Hao Chen | Ming-Feng Tsai

pdf dblp
DUTh at TREC 2020 Conversational Assistance Track
Michalis Fotiadis | Georgios Peikos | Symeon Symeonidis | Avi Arampatzis

pdf dblp
Glasgow Representation and Information Learning Lab (GRILL) at the Conversational Assistance Track 2020
Carlos Gemmell | Jeffrey Dalton

pdf dblp
HBKU at TREC 2020: Conversational Multi-Stage Retrieval with Pseudo-Relevance Feedback
Haya Al-Thani | Bernard J. Jansen | Tamer Elsayed

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Topical Enrichment of Conversational Search Utterances: Participation of the HPCLab-CNR Team in CAsT 2020
Ida Mele | Cristina Ioana Muntean | Franco Maria Nardini | Raffaele Perego | Nicola Tonellotto

pdf dblp
IELAB for TREC Conversational Assistance Track (CAsT) 2020
Sebastian Cross | Hang Li | Arvin Zhuang | Ahmed Mourad | Guido Zuccon | Bevan Koopman

pdf dblp
NOVA at TREC 2020 Conversational Assistance Track
Rafael Ferreira | David Semedo | João Magalhães

pdf dblp
POLYU at TREC 2020 Conversational Assistant Track: Query Reformulation with Heuristic Topic Phrases Discovery
Kaishuai Xu | Wenjie Li | Yongli Li

pdf dblp
Extending the Use of Previous Relevant Utterances for Response Ranking in Conversational Search
Ivan Sekulic | Fabio Crestani | Mohammad Aliannejadi

pdf dblp
Leveraging Query Resolution and Reading Comprehension for Conversational Passage Retrieval
Svitlana Vakulenko | Nikos Voskarides | Zhucheng Tu | Shayne Longpre

pdf dblp
WaterlooClarke at the Trec 2020 Conversational Assistant Track
Negar Arabzadeh | Charles L. A. Clarke

pdf dblp
Wilfrid Laurier University at the NIST TREC 2020: Conversational Assistance Track
Max Niebergall | Jiashu Zhao

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TREC: Deep Learning

Shared Task Website

Overview papers:

pdf dblp
Overview of the TREC 2020 Deep Learning Track
Nick Craswell | Bhaskar Mitra | Emine Yilmaz | Daniel Campos


Participant papers:

pdf dblp
2020 Deep Learning Track
Tiago Almeida | Sérgio Matos

pdf dblp
SIB Text Mining at TREC 2020 Deep Learning Track
Julien Knafou | Matthew Jeffryes | Sohrab Ferdowsi | Patrick Ruch

pdf dblp
H2oloo at TREC 2020: When all you got is a hammer... Deep Learning, Health Misinformation, and Precision Medicine
Ronak Pradeep | Xueguang Ma | Xinyu Zhang | Hang Cui | Ruizhou Xu | Rodrigo Nogueira | Jimmy Lin

pdf dblp
HSRM-LAVIS at TREC 2020 Deep Learning Track: Neural First-stage Ranking Complementing Term-based Retrieval
Marco Wrzalik | Dirk Krechel

pdf dblp
ICIP at TREC-2020 Deep Learning Track
Xuanang Chen | Ben He | Le Sun | Yingfei Sun

pdf dblp
MPII at the TREC 2020 Deep Learning Track
Canjia Li | Andrew Yates

pdf dblp
Conformer-Kernel with Query Term Independence at TREC 2020 Deep Learning Track
Bhaskar Mitra | Sebastian Hofstätter | Hamed Zamani | Nick Craswell

pdf dblp
Naver Labs Europe @ TREC Deep Learning 2020
Thibault Formal | Benjamin Piwowarski | Stéphane Clinchant

pdf dblp
NLM at TREC 2020 Health Misinformation and Deep Learning Tracks
Yassine Mrabet | Mourad Sarrouti | Asma Ben Abacha | Soumya Gayen | Travis R. Goodwin | Alastair R. Rae | Willie Rogers | Dina Demner-Fushman

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PASH at TREC 2020 Deep Learning Track: Dense Matching for Nested Ranking
Yixuan Qiao | Hao Chen | Liyu Cao | Liping Chen | Pengyong Li | Jun Wang | Peng Gao | Yuan Ni | Guotong Xie

pdf dblp
A Multiple Models Ensembling Method in TREC Deep Learning
Liyu Cao | Yixuan Qiao | Hao Chen | Peng Gao | Yuan Ni | Guo Tong Xie

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bigIR at TREC 2020: Simple but Deep Retrieval of Passages and Documents
Fatima Haouari | Marwa Essam | Tamer Elsayed

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RMIT at TREC Deep Learning Track 2020
J. Shane Culpepper | Binsheng Liu

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Evaluating Transformer-Kernel Models at TREC Deep Learning 2020
Sebastian Hofstätter | Allan Hanbury

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Impact of Tokenization, Pretraining Task, and Transformer Depth on Text Ranking
Jaap Kamps | Nikolaos Kondylidis | David Rau

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Faster BERT-based Re-ranking through Candidate Passage Extraction
Kyle Reed | Harish Tayyar Madabushi

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University of Glasgow Terrier Team at the TREC 2020 Deep Learning Track
Xiao Wang | Yaxiong Wu | Xi Wang | Craig Macdonald | Iadh Ounis

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Longformer for MS MARCO Document Re-ranking Task
Ivan Sekulic | Fabio Crestani | Amir Soleimani | Mohammad Aliannejadi

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TREC: Precision Medicine

Shared Task Website

Overview papers:

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Overview of the TREC 2020 Precision Medicine Track
Kirk Roberts | Dina Demner-Fushman | Ellen M. Voorhees | Steven Bedrick | William R. Hersh


Participant papers:

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Aliababa DAMO Academy at TREC Precision Medicine 2020: State-of-the-art Evidence Retriever for Precision Medicine with Expert-in-the-loop Active Learning
Qiao Jin | Chuanqi Tan | Mosha Chen | Ming Yan | Songfang Huang | Ningyu Zhang | Xiaozhong Liu

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BIT.UA@TREC 2020 Precision Medicine Track
Tiago Almeida | Sérgio Matos

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SIB Text Mining at TREC 2020 Deep Learning Track
Julien Knafou | Matthew Jeffryes | Sohrab Ferdowsi | Patrick Ruch

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Retrieving Scientific Abstracts using Medical Concepts and Learning to Rank: CincyMedIR at TREC 2020 Precision Medicine Track
Piyush Sahu | Hoang Vu | Danny T. Y. Wu

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CSIROmed at TREC Precision Medicine 2020
Maciej Rybinski | Sarvnaz Karimi

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H2oloo at TREC 2020: When all you got is a hammer... Deep Learning, Health Misinformation, and Precision Medicine
Ronak Pradeep | Xueguang Ma | Xinyu Zhang | Hang Cui | Ruizhou Xu | Rodrigo Nogueira | Jimmy Lin

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A Study on Query Expansion and Rank Fusion for Precision Medicine: The IMS Unipd at TREC 2020 Precision Medicine
Giorgio Maria Di Nunzio | Stefano Marchesin

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MRG_UWaterloo Participation in the TREC 2020 Precision Medicine Track
Maura R. Grossman | Gordon V. Cormack | Ba' Pham

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Poznań Contribution to TREC-PM 2020
Jakub Dutkiewicz | Czeslaw Jedrzejek

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University of Glasgow Terrier Team and UFMG at the TREC 2020 Precision Medicine Track
Alberto Ueda | Rodrygo L. T. Santos | Craig Macdonald | Iadh Ounis

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VOH.CoLAB at TREC 2020 Precision Medicine Track
Miguel D. Cardoso | Flávio Martins