Proceedings of the Working Notes of CLEF 2021 - Conference and Labs of the Evaluation Forum, Bucharest, Romania, September 21st - to - 24th, 2021
Guglielmo Faggioli, Nicola Ferro, Alexis Joly, Maria Maistro, Florina Piroi (Editors)
- Anthology ID:
- 2021.clef_conference-2021w
- Year:
- 2021
- Venue:
- clef_conference
- Publisher:
- CEUR-WS.org
- URL:
- https://ceur-ws.org/Vol-2936
- DBLP:
- conf/clef/2021w
Overview of ARQMath-2 (2021): Second CLEF Lab on Answer Retrieval for Questions on Math (Working Notes Version)
Behrooz Mansouri
|
Richard Zanibbi
|
Douglas W. Oard
|
Anurag Agarwal
XY-PHOC Symbol Location Embeddings for Math Formula Retrieval and Autocompletion
Robin Avenoso
|
Behrooz Mansouri
|
Richard Zanibbi
BERT-Based Embedding Model for Formula Retrieval
Pankaj Dadure
|
Partha Pakray
|
Sivaji Bandyopadhyay
DPRL Systems in the CLEF 2021 ARQMath Lab: Sentence-BERT for Answer Retrieval, Learning-to-Rank for Formula Retrieval
Behrooz Mansouri
|
Douglas W. Oard
|
Richard Zanibbi
Dowsing for Answers to Math Questions: Ongoing Viability of Traditional MathIR
Yin Ki Ng
|
Dallas J. Fraser
|
Besat Kassaie
|
Frank Wm. Tompa
Ensembling Math Information Retrieval Systems: MIRMU and MSM at ARQMath 2021
Vít Novotný
|
Michal Stefánik
|
Dávid Lupták
|
Martin Geletka
|
Petr Zelina
|
Petr Sojka
TU_DBS in the ARQMath Lab 2021, CLEF
Anja Reusch
|
Maik Thiele
|
Wolfgang Lehner
Ranked List Fusion and Re-ranking with Pre-trained Transformers for ARQMath Lab
Shaurya Rohatgi
|
Jian Wu
|
C. Lee Giles
Approach Zero and Anserini at the CLEF-2021 ARQMath Track: Applying Substructure Search and BM25 on Operator Tree Path Tokens
Wei Zhong
|
Xinyu Zhang
|
Ji Xin
|
Richard Zanibbi
|
Jimmy Lin
Overview of BioASQ Tasks 9a, 9b and Synergy in CLEF2021
Anastasios Nentidis
|
Georgios Katsimpras
|
Eirini Vandorou
|
Anastasia Krithara
|
Georgios Paliouras
Overview of BioASQ 2021-MESINESP track. Evaluation of advance hierarchical classification techniques for scientific literature, patents and clinical trials
Luis Gascó
|
Anastasios Nentidis
|
Anastasia Krithara
|
Darryl Estrada-Zavala
|
Renato Toshiyuki Murasaki
|
Elena Primo-Peña
|
Cristina Bojo-Canales
|
Georgios Paliouras
|
Martin Krallinger
BioASQ Synergy: A strong and simple baseline rooted in relevance feedback
Tiago Almeida
|
Sérgio Matos
Universal Passage Weighting Mecanism (UPWM) in BioASQ 9b
Tiago Almeida
|
Sérgio Matos
Large Biomedical Question Answering Models with ALBERT and ELECTRA
Sultan Alrowili
|
Vijay Shanker
Vicomtech at MESINESP2: BERT-based Multi-label Classification Models for Biomedical Text Indexing
Aitor García Pablos
|
Naiara Pérez
|
Montse Cuadros
MDS_UNCC Question Answering System for Biomedical Data with Preliminary Error Analysis
Seethalakshmi Gopalakrishnan
|
Swathi Padithala
|
Hilmi Demirhan
|
Wlodek Zadrozny
PIDNA at BioASQ MESINESP: Hybrid Semantic Indexing for Biomedical Articles in Spanish
Yi Huang
|
Buse Giledereli
|
Abdullatif Köksal
|
Arzucan Özgür
|
Elif Ozkirimli
Transformer-based Language Models for Factoid Question Answering at BioASQ9b
Urvashi Khanna
|
Diego Mollá
Post-processing BioBERT And Using Voting Methods for Biomedical Question Answering
Margarida M. Campos
|
Francisco M. Couto
Query-Focused Extractive Summarisation for Finding Ideal Answers to Biomedical and COVID-19 Questions
Diego Mollá
|
Urvashi Khanna
|
Dima Galat
|
Vincent Nguyen
|
Maciej Rybinski
End-to-end Biomedical Question Answering via Bio-AnswerFinder and Discriminative Language Representation Models
Ibrahim Burak Özyurt
A Neural Text Ranking Approach for Automatic MeSH Indexing
Alastair R. Rae
|
James G. Mork
|
Dina Demner-Fushman
COLE and LYS at BioASQ MESINESP Task: large scale multilabel text categorization with sparse and dense indices
Francisco J. Ribadas-Pena
|
Shuyuan Cao
|
Elmurod Kuriyozov
LASIGE-BioTM at MESINESP2: entity linking with semantic similarity and extreme multi-label classification on Spanish biomedical documents
Pedro Ruas
|
Vitor D. T. Andrade
|
Francisco M. Couto
NLM at BioASQ Synergy 2021: Deep Learning-based Methods for Biomedical Semantic Question Answering about COVID-19
Mourad Sarrouti
|
Deepak Gupta
|
Asma Ben Abacha
|
Dina Demner-Fushman
KU-DMIS at BioASQ 9: Data-centric and model-centric approaches for biomedical question answering
Wonjin Yoon
|
Jaehyo Yoo
|
Sumin Seo
|
Mujeen Sung
|
Minbyul Jeong
|
Gangwoo Kim
|
Jaewoo Kang
NCU-IISR/AS-GIS: Results of Various Pre-trained Biomedical Language Models and Linear Regression Model in BioASQ Task 9b Phase B
Yu Zhang
|
Jen-Chieh Han
|
Richard Tzong-Han Tsai
Overview of the CLEF-2021 CheckThat! Lab Task 1 on Check-Worthiness Estimation in Tweets and Political Debates
Shaden Shaar
|
Maram Hasanain
|
Bayan Hamdan
|
Zien Sheikh Ali
|
Fatima Haouari
|
Alex Nikolov
|
Mücahid Kutlu
|
Yavuz Selim Kartal
|
Firoj Alam
|
Giovanni Da San Martino
|
Alberto Barrón-Cedeño
|
Rubén Míguez
|
Javier Beltrán
|
Tamer Elsayed
|
Preslav Nakov
Overview of the CLEF-2021 CheckThat! Lab Task 2 on Detecting Previously Fact-Checked Claims in Tweets and Political Debates
Shaden Shaar
|
Fatima Haouari
|
Watheq Mansour
|
Maram Hasanain
|
Nikolay Babulkov
|
Firoj Alam
|
Giovanni Da San Martino
|
Tamer Elsayed
|
Preslav Nakov
Overview of the CLEF-2021 CheckThat! Lab: Task 3 on Fake News Detection
Gautam Kishore Shahi
|
Julia Maria Struß
|
Thomas Mandl
QMUL-SDS at CheckThat! 2021: Enriching Pre-Trained Language Models for the Estimation of Check-Worthiness of Arabic Tweets
Amani S. Abumansour
|
Arkaitz Zubiaga
SCUoL at CheckThat! 2021: An AraBERT Model for Check-Worthiness of Arabic Tweets
Saud Althabiti
|
Mohammad Ammar Alsalka
|
Eric Atwell
M82B at CheckThat! 2021: Multiclass Fake News Detection Using BiLSTM
Sohel Siddique Ashik
|
Abdur Rahman Apu
|
Nusrat Jahan Marjana
|
Md. Sanzidul Islam
|
Md. Arid Hassan
CIC at CheckThat! 2021: Fake News detection Using Machine Learning And Data Augmentation
Noman Ashraf
|
Sabur Butt
|
Grigori Sidorov
|
Alexander F. Gelbukh
MUCIC at CheckThat! 2021: FaDo-Fake News Detection and Domain Identification using Transformers Ensembling
Fazlourrahman Balouchzahi
|
Hosahalli Lakshmaiah Shashirekha
|
Grigori Sidorov
UPV at CheckThat! 2021: Mitigating Cultural Differences for Identifying Multilingual Check-worthy Claims
Ipek Baris Schlicht
|
Angel Felipe Magnossão de Paula
|
Paolo Rosso
SU-NLP at CheckThat! 2021: Check-Worthiness of Turkish Tweets
Buse Çarik
|
Reyyan Yeniterzi
Aschern at CLEF CheckThat! 2021: Lambda-Calculus of Fact-Checked Claims
Anton Chernyavskiy
|
Dmitry Ilvovsky
|
Preslav Nakov
UAICS at CheckThat! 2021: Fake news detection
Ciprian-Gabriel Cusmuliuc
|
Matei Alexandru Amarandei
|
Ioana Pelin
|
Vlad-Iulian Cociorva
|
Adrian Iftene
University of Regensburg at CheckThat! 2021: Exploring Text Summarization for Fake News Detection
Philipp Hartl
|
Udo Kruschwitz
CIVIC-UPM at CheckThat! 2021: Integration of Transformers in Misinformation Detection and Topic Classification
Álvaro Huertas-García
|
Javier Huertas-Tato
|
Alejandro Martín
|
David Camacho
Classifier for fake news detection and Topical Domain of News Articles
William Kana Tsoplefack
Nkovachevich at CheckThat! 2021: BERT fine-tuning approach to fake news detection
Ninko Kovachevich
NLP&IR@UNED at CheckThat! 2021: Check-worthiness estimation and fake news detection using transformer models
Juan R. Martinez-Rico
|
Juan Martínez-Romo
|
Lourdes Araujo
DIPS at CheckThat! 2021: Verified Claim Retrieval
Simona Mihaylova
|
Iva Borisova
|
Dzhovani Chemishanov
|
Preslav Hadzhitsanev
|
Momchil Hardalov
|
Preslav Nakov
NLytics at CheckThat! 2021: Multi-class fake news detection of news articles and domain identification with RoBERTa - a baseline model
Albert Pritzkau
NLytics at CheckThat! 2021: Detecting Previously Fact-Checked Claims by Measuring Semantic Similarity
Albert Pritzkau
NLytics at CheckThat! 2021: Check-Worthiness Estimation as a Regression Problem on Transformers
Albert Pritzkau
NITK_NLP at CheckThat! 2021: Ensemble Transformer Model for Fake News Classification
Hariharan RamakrishnaIyer LekshmiAmmal
|
Anand Kumar Madasamy
Team Sigmoid at CheckThat!2021 Task 3a: Multiclass fake news detection with Machine Learning
Abdullah Al Mamun Sardar
|
Shahalu Akter Salma
|
Md. Sanzidul Islam
|
Md. Arid Hasan
|
Touhid Bhuiyan
Qword at CheckThat! 2021: An Extreme Gradient Boosting Approach for Multiclass Fake News Detection
Rudra Sarker Utsha
|
Mumenunnessa Keya
|
Md. Arid Hasan
|
Md. Sanzidul Islam
GPLSI team at CheckThat! 2021: Fine-tuning BETO and RoBERTa
Robiert Sepúlveda-Torres
|
Estela Saquete
BeaSku at CheckThat! 2021: Fine-Tuning Sentence BERT with Triplet Loss and Limited Data
Beata Skuczynska
|
Shaden Shaar
|
Jennifer Spenader
|
Preslav Nakov
BlackOps at CheckThat! 2021: User Profiles Analyze of Intelligent Detection on Fake Tweets Notebook for PAN
S. M. Sohan
|
Sharun Akter Khushbu
|
Md. Sanzidul Islam
|
Md. Arid Hasan
Accenture at CheckThat! 2021: Interesting claim identification and ranking with contextually sensitive lexical training data augmentation
Evan M. Williams
|
Paul Rodrigues
|
Sieu Tran
TOBB ETU at CheckThat! 2021: Data Engineering for Detecting Check-Worthy Claims
Muhammed Said Zengin
|
Yavuz Selim Kartal
|
Mücahid Kutlu
Fight for 4230 at CheckThat! 2021: Domain-Specific Preprocessing and Pretrained Model for Ranking Claims by Check-Worthiness
Xinrui Zhou
|
Bohuai Wu
|
Pascale Fung
Extended Overview of ChEMU 2021: Reaction Reference Resolution and Anaphora Resolution in Chemical Patents
Yuan Li
|
Biaoyan Fang
|
Jiayuan He
|
Hiyori Yoshikawa
|
Saber A. Akhondi
|
Christian Druckenbrodt
|
Camilo Thorne
|
Zubair Afzal
|
Zenan Zhai
|
Timothy Baldwin
|
Karin Verspoor
A pipelined approach to Anaphora Resolution in Chemical Patents
Ritam Dutt
|
Sopan Khosla
|
Carolyn P. Rosé
HUKB at ChEMU 2021 Task 2: Anaphora Resolution
Kojiro Machi
|
Masaharu Yoshioka
Overview of CLEF eHealth Task 1 - SpRadIE: A challenge on information extraction from Spanish Radiology Reports
Viviana Cotik
|
Laura Alonso Alemany
|
Darío Filippo
|
Franco Luque
|
Roland Roller
|
Jorge Vivaldi
|
Ammer Ayach
|
Fernando Carranza
|
Lucas Defrancesca
|
Antonella Dellanzo
|
Macarena Fernández Urquiza
Consumer Health Search at CLEF eHealth 2021
Lorraine Goeuriot
|
Hanna Suominen
|
Gabriella Pasi
|
Elias Bassani
|
Nicola Brew-Sam
|
Gabriela Nicole González Sáez
|
Liadh Kelly
|
Philippe Mulhem
|
Sandaru Seneviratne
|
Rishabh Upadhyay
|
Marco Viviani
|
Chenchen Xu
IMS-UNIPD @ CLEF eHealth Task 1: A Memory Based Reproducible Baseline
Giorgio Maria Di Nunzio
IMS-UNIPD @ CLEF eHealth Task 2: Reciprocal Ranking Fusion in CHS
Giorgio Maria Di Nunzio
|
Federica Vezzani
LSI_UNED at CLEF eHealth2021: Exploring the effects of transfer learning in negation detection and entity recognition in clinical texts
Hermenegildo Fabregat
|
Andrés Duque
|
Lourdes Araujo
|
Juan Martínez-Romo
Pre-trained language models to extract information from radiological reports
Pilar López-Úbeda
|
Manuel Carlos Díaz-Galiano
|
Luis Alfonso Ureña López
|
María Teresa Martín-Valdivia
Extracting information from radiology reports by Natural Language Processing and Deep Learning
Miguel Ángel Martín-Caro García-Largo
|
Isabel Segura-Bedmar
Comparing Transformer-based NER approaches for analysing textual medical diagnoses
Marco Polignano
|
Marco de Gemmis
|
Giovanni Semeraro
Information Extraction from Spanish Radiology Reports using multilingual BERT
Oswaldo Solarte Pabón
|
Orlando Montenegro
|
Alberto Blázquez-Herranz
|
Hadi Saputro
|
Alejandro Rodríguez González
|
Ernestina Menasalvas
A multi-BERT hybrid system for Named Entity Recognition in Spanish radiology reports
Víctor Suárez-Paniagua
|
Hang Dong
|
Arlene Casey
Learning to rank for Consumer Health Search
Hua Yang
|
Xiaoming Liu
|
Binbin Zheng
|
Guan Yang
Overview of eRisk at CLEF 2021: Early Risk Prediction on the Internet (Extended Overview)
Javier Parapar
|
Patricia Martín-Rodilla
|
David E. Losada
|
Fabio Crestani
Predicting Sign of Depression via Using Frozen Pre-trained Models and Random Forest Classifier
Hassan Alhuzali
|
Tianlin Zhang
|
Sophia Ananiadou
VADER meets BERT: sentiment analysis for early detection of signs of self-harm through social mining
Lucas Barros
|
Alina Trifan
|
José Luís Oliveira
UPV-Symanto at eRisk 2021: Mental Health Author Profiling for Early Risk Prediction on the Internet
Angelo Basile
|
Mara Chinea-Rios
|
Ana Sabina Uban
|
Thomas Müller
|
Luise Rössler
|
Seren Yenikent
|
Berta Chulvi
|
Paolo Rosso
|
Marc Franco-Salvador
Exploring the Performance of Baseline Text Mining Frameworks for Early Prediction of Self Harm Over Social Media
Tanmay Basu
|
Georgios V. Gkoutos
Early Risk Detection of Pathological Gambling, Self-Harm and Depression Using BERT
Ana-Maria Bucur
|
Adrian Cosma
|
Liviu P. Dinu
NLP-UNED at eRisk 2021: self-harm early risk detection with TF-IDF and linguistic features
Elena Campillo Ageitos
|
Hermenegildo Fabregat
|
Lourdes Araujo
|
Juan Martínez-Romo
uOttawa at eRisk 2021: Automatic Filling of the Beck's Depression Inventory Questionnaire using Deep Learning
Diana Inkpen
|
Ruba Skaik
|
Prasadith Buddhitha
|
Dimo Angelov
|
Maxwell Thomas Fredenburgh
CeDRI at eRisk 2021: A Naive Approach to Early Detection of Psychological Disorders in Social Media
Rui Pedro Lopes
UNSL at eRisk 2021: A Comparison of Three Early Alert Policies for Early Risk Detection
Juan Martín Loyola
|
Sergio Burdisso
|
Horacio Thompson
|
Leticia C. Cagnina
|
Marcelo Errecalde
UniOR NLP at eRisk 2021: Assessing the Severity of Depression with Part of Speech and Syntactic Features
Raffaele Manna
|
Johanna Monti
Early Detection of Signs of Pathological Gambling, Self-Harm and Depression through Topic Extraction and Neural Networks
Diego Maupomé
|
Maxime D. Armstrong
|
Fanny Rancourt
|
Thomas Soulas
|
Marie-Jean Meurs
Transfer Learning for Automated Responses to the BDI Questionnaire
Christoforos Spartalis
|
George Drosatos
|
Avi Arampatzis
Towards transfer learning using BERT for early detection of self-harm of social media users
Qamar Un Nisa
|
Rafi Muhammad
A RoBERTa-based model on measuring the severity of the signs of depression
Shih-Hung Wu
|
Zhao-Jun Qiu
Overview of the VQA-Med Task at ImageCLEF 2021: Visual Question Answering and Generation in the Medical Domain
Asma Ben Abacha
|
Mourad Sarrouti
|
Dina Demner-Fushman
|
Sadid A. Hasan
|
Henning Müller
Overview of ImageCLEFtuberculosis 2021 - CT-based Tuberculosis Type Classification
Serge Kozlovski
|
Vitali Liauchuk
|
Yashin Dicente Cid
|
Vassili Kovalev
|
Henning Müller
Overview of the ImageCLEFmed 2021 Concept & Caption Prediction Task
Obioma Pelka
|
Asma Ben Abacha
|
Alba Garcia Seco de Herrera
|
Janadhip Jacutprakart
|
Christoph M. Friedrich
|
Henning Müller
Overview of ImageCLEFcoral 2021: Coral Reef Image Annotation of a 3D Environment
Jon Chamberlain
|
Alba García Seco de Herrera
|
Antonio Campello
|
Adrian F. Clark
|
Thomas Oliver
|
Hassan Moustahfid
Overview of the 2021 ImageCLEFdrawnUI Task: Detection and Recognition of Hand Drawn and Digital Website UIs
Raul Berari
|
Andrei Tauteanu
|
Dimitri Fichou
|
Paul Brie
|
Mihai Dogariu
|
Liviu-Daniel Stefan
|
Mihai Gabriel Constantin
|
Bogdan Ionescu
Classification of Tuberculosis Type on CT Scans of Lungs using a fusion of 2D and 3D Deep Convolutional Neural Networks
Emad Aghajanzadeh
|
Behzad Shomali
|
Diba Aminshahidi
|
Navid Ghassemi
Simple Neural Network based TB Classification
Anirudh Anand
|
Karthik Raja Anandan
|
Bhuvana Jayaraman
|
Mirnalinee Thanga Nadar Thanga Thai
ImageCLEF 2021: Deep categorizing tuberculosis cases using normalization and pseudo-color CT image
Tetsuya Asakawa
|
Riku Tsuneda
|
Kazuki Shimizu
|
Takuyuki Komoda
|
Masaki Aono
Attention-based CNN-GRU Model For Automatic Medical Images Captioning: ImageCLEF 2021
Djamila Romaissa Beddiar
|
Mourad Oussalah
|
Tapio Seppänen
PUC Chile team at Caption Prediction: ResNet visual encoding and caption classification with Parametric ReLU
Vicente Castro
|
Pablo Pino
|
Denis Parra
|
Hans Lobel
AUEB NLP Group at ImageCLEFmed Caption Tasks 2021
Foivos Charalampakos
|
Vasilis Karatzas
|
Vasiliki Kougia
|
John Pavlopoulos
|
Ion Androutsopoulos
Chabbiimen at VQA-Med 2021: Visual Generation of Relevant Natural Language Questions from Radiology Images for Anomaly Detection
Imen Chebbi
TeamS at VQA-Med 2021: BBN-Orchestra for Long-tailed Medical Visual Question Answering
Sedigheh Eslami
|
Gerard de Melo
|
Christoph Meinel
SYSU-HCP at VQA-Med 2021: A Data-centric Model with Efficient Training Methodology for Medical Visual Question Answering
Haifan Gong
|
Ricong Huang
|
Guanqi Chen
|
Guanbin Li
A Convolutional Neural Networks based Coral Reef Annotation and Localization
Rohit Gunti
|
Abebe Rorissa
UI element detection from wireframe drawings of websites
Prasang Gupta
|
Vishakha Bansal
UAIC2021: Lung Analysis for Tuberculosis Classification
Alexandra Hanganu
|
Cristian Simionescu
|
Lucia Georgiana Coca
|
Adrian Iftene
NLIP-Essex-ITESM at ImageCLEFcaption 2021 task : Deep Learning-based Information Retrieval and Multi-label Classification towards improving Medical Image Understanding
Janadhip Jacutprakart
|
Francisco Parrilla Andrade
|
Rodolfo Cuan
|
Arely Aceves Compean
|
Giorgos Papanastasiou
|
Alba Garcia Seco de Herrera
Lijie at ImageCLEFmed VQA-Med 2021: Attention Model-based Efficient Interaction between Multimodality
Jie Li
|
Shengyan Liu
Lijie at ImageCLEFmed Tuberculosis 2021: EfficientNet Simplified Tuberculosis Case Classification
Jie Li
|
Li Yang
|
Yang Bai
TAM at VQA-Med 2021: A Hybrid Model with Feature Extraction and Fusion for Medical Visual Question Answering
Yong Li
|
Zhenguo Yang
|
Tianyong Hao
Multi-Classification Study of the Tuberculosis with 3D CBAM-ResNet and EfficientNet
Xing Lu
|
Eric Y. Chang
|
Chun-Nan Hsu
|
Jiang Du
|
Amilcare Gentili
Identifying tuberculosis type in CTs
Cosmin Moisii
|
Radu Miron
|
Mihaela Breaban
AEHRC CSIRO at ImageCLEFmed Caption 2021
Aaron Nicolson
|
Jason Dowling
|
Bevan Koopman
SSN MLRG at VQA-MED 2021: An Approach for VQA to Solve Abnormality Related Queries using Improved Datasets
Noor Mohamed Sheerin Sitara
|
Kavitha Srinivasan
PUC Chile team at TBT Task: Diagnosis of Tuberculosis Type using segmented CT scans
José Miguel Quintana
|
Daniel Florea
|
Ria Deane
|
Denis Parra
|
Pablo Pino
|
Pablo Messina
|
Hans Löbel
PUC Chile team at VQA-Med 2021: approaching VQA as a classification task via fine-tuning a pretrained CNN
Ricardo Schilling
|
Pablo Messina
|
Denis Parra
|
Hans Löbel
PUC Chile team at Concept Detection: K Nearest Neighbors with Perceptual Similarity
Gregory Schuit
|
Vicente Castro
|
Pablo Pino
|
Denis Parra
|
Hans Lobel
Automatic Coral Reef Annotation, Localization and Pixel-wise Parsing Using Mask R-CNN
Lukás Soukup
Kdelab at ImageCLEF 2021: Medical Caption Prediction with Effective Data Pre-processing and Deep Learning
Riku Tsuneda
|
Tetsuya Asakawa
|
Masaki Aono
Improving web user interface element detection using Faster R-CNN
Jirí Vyskocil
|
Lukás Picek
ImageSem Group at ImageCLEFmed Caption 2021 Task: Exploring the Clinical Significance of the Textual Descriptions Derived from Medical Images
Xuwen Wang
|
Zhen Guo
|
Chunyuan Xu
|
Lianglong Sun
|
Jiao Li
Pixelwise annotation of coral reef substrates
Jessica P. Wright
|
Ioana-Lia Palosanu
|
Louis G. Clift
|
Alba García Seco de Herrera
|
Jon Chamberlain
Yunnan University at VQA-Med 2021: Pretrained BioBERT for Medical Domain Visual Question Answering
Qian Xiao
|
Xiaobing Zhou
|
Ya Xiao
|
Kun Zhao
ViPTT-Net: Video pretraining of spatio-temporal model for tuberculosis type classification from chest CT scans
Hasib Zunair
|
Aimon Rahman
|
Nabeel Mohammed
Overview of PlantCLEF 2021: cross-domain plant identification
Hervé Goëau
|
Pierre Bonnet
|
Alexis Joly
Overview of BirdCLEF 2021: Bird call identification in soundscape recordings
Stefan Kahl
|
Tom Denton
|
Holger Klinck
|
Hervé Glotin
|
Hervé Goëau
|
Willem-Pier Vellinga
|
Robert Planqué
|
Alexis Joly
Overview of GeoLifeCLEF 2021: Predicting species distribution from 2 million remote sensing images
Titouan Lorieul
|
Elijah Cole
|
Benjamin Deneu
|
Maximilien Servajean
|
Pierre Bonnet
|
Alexis Joly
Overview of SnakeCLEF 2021: Automatic Snake Species Identification with Country-Level Focus
Lukás Picek
|
Andrew Durso
|
Isabelle Bolon
|
Rafael Luis Ruiz De Castaneda
EfficientNets and Vision Transformers for Snake Species Identification Using Image and Location Information
Louise Bloch
|
Christoph M. Friedrich
Incorporation of object detection models and location data into snake species classification
Rego Borsodi
|
Dávid Papp
A Deep Learning Method for Visual Recognition of Snake Species
Rail Chamidullin
|
Milan Sulc
|
Jiri Matas
|
Lukás Picek
Improved Herbarium-Field Triplet Network for Cross-Domain Plant Identification: NEUON Submission to LifeCLEF 2021 Plant
Sophia Chulif
|
Yang Loong Chang
UAIC-AI at SnakeCLEF 2021: Impact of convolutions in snake species recognition
Lucia Georgiana Coca
|
Alexia Theodora Popa
|
Razvan Contantin Croitoru
|
Luciana Paraschiva Bejan
|
Adrian Iftene
Weakly-Supervised Classification and Detection of Bird Sounds in the Wild. A BirdCLEF 2021 Solution
Marcos V. Conde
|
Kumar Shubham
|
Prateek Agnihotri
|
Nitin D. Movva
|
Szilard Bessenyei
Bird-Species Audio Identification, Ensembling 1D + 2D Signals
Gyanendra Das
|
Saksham Aggarwal
Snake Species Classification using Transfer Learning Technique
Karthik Desingu
|
Mirunalini Palaniappan
|
Jitesh Kumar
Recognizing bird species in diverse soundscapes under weak supervision
Christof Henkel
|
Pascal Pfeiffer
|
Philipp Singer
Automatic Snake Classification using Deep Learning Algorithm
Lekshmi Kalinathan
|
Prabavathy Balasundaram
|
Pradeep Ganesh
|
Sandeep Sekhar Bathala
|
Rahul Kumar Mukesh
Birdcall Identification Using CNN and Gradient Boosting Decision Trees with Weak and Noisy Supervision
Naoki Murakami
|
Hajime Tanaka
|
Masataka Nishimori
STFT Transformers for Bird Song Recognition
Jean-Francois Puget
TUC Media Computing at BIRDCLEF 2021: Noise augmentation strategies in bird sound classification in combination with DenseNets and ResNets
Arunodhayan Sampath Kumar
|
Danny Kowerko
Learning to Monitor Birdcalls From Weakly-Labeled Focused Recordings
Jan Schlüter
Contrastive Representation Learning for Natural World Imagery: Habitat prediction for 30, 000 species
Sachith Seneviratne
BirdCLEF 2021: building a birdcall segmentation model based on weak labels
Maxim Shugaev
|
Naoya Tanahashi
|
Philip Dhingra
|
Urvish Patel
Weighted Pseudo Labeling Refinement for Plant Identification
Youshan Zhang
|
Brian D. Davison
Overview of LiLAS 2021 - Living Labs for Academic Search (Extended Overview)
Philipp Schaer
|
Timo Breuer
|
Leyla Jael Castro
|
Benjamin Wolff
|
Johann Schaible
|
Narges Tavakolpoursaleh
TEKMA at CLEF-2021: BM-25 based rankings for scientific publication retrieval and data set recommendation
Jüri Keller
|
Leon Paul Mondrian Munz
PyTerrier-based Research Data Recommendations for Scientific Articles in the Social Sciences
Narges Tavakolpoursaleh
|
Johann Schaible
Ad-hoc Retrieval of scientific Documents on the LIVIVO Search Portal
Anh Huy Matthias Tran
|
Andreas Kruff
|
Joshua Thos
|
Constantin Krah
|
Michelle Reiners
|
Fabian Ax
|
Saskia Brech
|
Sascha Gharib
|
Verena Pawlas
Overview of the Cross-Domain Authorship Verification Task at PAN 2021
Mike Kestemont
|
Enrique Manjavacas
|
Ilia Markov
|
Janek Bevendorff
|
Matti Wiegmann
|
Efstathios Stamatatos
|
Benno Stein
|
Martin Potthast
Overview of the Style Change Detection Task at PAN 2021
Eva Zangerle
|
Maximilian Mayerl
|
Martin Potthast
|
Benno Stein
Profiling Hate Speech Spreaders on Twitter Task at PAN 2021
Francisco Rangel
|
Gretel Liz De la Peña Sarracén
|
Berta Chulvi
|
Elisabetta Fersini
|
Paolo Rosso
Profiling Hate Spreaders using word N-grams
Jorge Alcañiz
|
José Andrés
Profiling Hate Speech Spreaders by Classifying Micro Texts Using BERT Model
Esam Alzahrani
|
Leon Jololian
Profiling Hate Speech Spreaders on Twitter
Àngel Andújar Carracedo
|
Raquel Jiménez Mondéjar
Identify Hate Speech Spreaders on Twitter using Transformer Embeddings Features and AutoML Classifiers
Talha Anwar
Profiling Haters on Twitter using Statistical and Contextualized Embeddings
Hamed Babaei Giglou
|
Taher Rahgooy
|
Jafar Razmara
|
Mostafa Rahgouy
|
Zahra Rahgooy
Profiling Spreaders of Hate Speech with N-grams and RoBERTa
Christopher Bagdon
HSSD: Hate Speech Spreader Detection using N-grams and Voting Classifier
Fazlourrahman Balouchzahi
|
Hosahalli Lakshmaiah Shashirekha
|
Grigori Sidorov
Unified and Multilingual Author Profiling for Detecting Haters
Ipek Baris Schlicht
|
Angel Felipe Magnossão de Paula
O2D2: Out-Of-Distribution Detector to Capture Undecidable Trials in Authorship Verification
Benedikt T. Bönninghoff
|
Robert M. Nickel
|
Dorothea Kolossa
INFOTEC-LaBD at PAN@CLEF21: Profiling Hate Speech Spreaders on Twitter through Emotion-based Representations
Hiram Cabrera
|
Sabino Miranda-Jiménez
|
Eric Sadit Tellez
Exploiting Contextualized Word Representations to Profile Haters on Twitter
Tanise Ceron
|
Camilla Casula
Use of Lexical and Psycho-Emotional Information to Detect Hate Speech Spreaders on Twitter - Notebook for PAN at CLEF 2021
Riccardo Cervero
Profiling Hate Speech Spreaders on Twitter
Kumar Gourav Das
|
Buddhadeb Garai
|
Srijan Das
|
Braja Gopal Patra
Style Change Detection on Real-World Data using an LSTM-powered Attribution Algorithm
Robert Deibel
|
Denise Löfflad
Detection of Hate Speech Spreaders with BERT
David Dukic
|
Ana Sovic Krzic
Graph-based Siamese Network for Authorship Verification
Daniel Embarcadero-Ruiz
|
Helena Gómez-Adorno
|
Ivan Reyes-Hernández
|
Alexis García
|
Alberto Embarcadero-Ruiz
Profiling Hate Speech Spreaders using Characters andWords N-grams
Daniel Yacob Espinosa
|
Grigori Sidorov
Hate speech spreader detection using contextualized word embeddings
Evgeny Finogeev
|
Mariam Kaprielova
|
Artem Chashchin
|
Kirill Grashchenkov
|
George Gorbachev
|
Oleg Bakhteev
Author classification as pre-training for pairwise authorship verification
Romain Futrzynski
Profiling Hate Speech Spreaders on Twitter using stylistic features and word embeddings
Lucía Gómez-Zaragozá
|
Sara Hinojosa Pinto
Profiling Hate Speech Spreaders on Twitter: Transformers and mixed pooling
Álvaro Huertas-García
|
Javier Huertas-Tato
|
Alejandro Martín
|
David Camacho
Effective Detection of Hate Speech Spreaders on Twitter
Julian Höllig
|
Yeong Su Lee
|
Nina Seemann
|
Michaela Geierhos
UniNE at PAN-CLEF 2021
Catherine Ikae
UniNE at PAN-CLEF 2021: Authorship Verification
Catherine Ikae
Early Detection of Online Hate Speech Spreaders with Learned User Representations
Darius Irani
|
Avyakta Wrat
|
Silvio Amir
Profiling Hate Speech Spreaders on Twitter
Rakshita Jain
|
Devanshi Goel
|
Prashant Sahu
|
Abhinav Kumar
|
Jyoti Prakash Singh
Using N-grams and Statistical Features to Identify Hate Speech Spreaders on Twitter
Eszter Katona
|
Jakab Buda
|
Flora Bolonyai
Deep Modeling of Latent Representations for Twitter Profiles on Hate Speech Spreaders Identification. Notebook for PAN at CLEF 2021
Roberto Labadie
|
Daniel Castro-Castro
|
Reynier Ortega Bueno
HaMor at the Profiling Hate Speech Spreaders on Twitter
Mirko Lai
|
Marco Antonio Stranisci
|
Cristina Bosco
|
Rossana Damiano
|
Viviana Patti
Authorship Verification based on Lucene architecture
Zhihao Liao
|
Yong Han
|
Leilei Kong
|
Zhuopeng Hong
|
Zijian Li
|
Guiyuan Liang
|
Zhenwei Mo
|
Zhixian Li
|
Zhongyuan Han
Hate Speech Detection on Twitter
Carolina Martín del Campo Rodríguez
|
Grigori Sidorov
|
Ildar Z. Batyrshin
Authorship Verification with neural networks via stylometric feature concatenation
Antonio Menta Garuz
|
Ana García-Serrano
Dual Neural Network Classification Based on BERT Feature Extraction for Authorship Verification
Xiaogang Miao
|
Haoliang Qi
|
Zhijie Zhang
|
Guiyuan Cao
|
Ruilan Lin
|
Wenbin Lin
Style change detection using Siamese neural networks
Sukanya Nath
University of Regensburg @ PAN: Profiling Hate Speech Spreaders on Twitter
Kwabena Odame Akomeah
|
Udo Kruschwitz
|
Bernd Ludwig
Local Classification with Recurrent Neural Network for Profiling Hate Speech Spreaders on Twitter. Notebook for PAN at CLEF 2021
Pablo Pallarés
|
Carlos Herrero
Encoding Text Information By Pre-trained Model For Authorship Verification
Zeyang Peng
|
Leilei Kong
|
Zhijie Zhang
|
Zhongyuan Han
|
Xu Sun
Feature Similarity-based Regression Models for Authorship Verification
Marina Pinzhakova
|
Tom Yagel
|
Jakov Rabinovits
Phonetic Detection for Hate Speech Spreaders on Twitter
Edwin Puertas
|
Juan Carlos Martínez Santos
Detection of hate speech spreaders using convolutional neural networks
Marco Siino
|
Elisa Di Nuovo
|
Ilenia Tinnirello
|
Marco La Cascia
Writing Style Change Detection on Multi-Author Documents
Rhia Singh
|
Janith Weerasinghe
|
Rachel Greenstadt
Multi-label Style Change Detection by Solving a Binary Classification Problem
Eivind Strøm
Multi-level stacked ensemble with sparse and dense features for hate speech detection on Twitter
Darko Tosev
|
Sonja Gievska
Siamese Bert for Authorship Verification
Jacob Tyo
|
Bhuwan Dhingra
|
Zachary C. Lipton
Detecting Hate Speech Spreaders on Twitter using LSTM and BERT in English and Spanish
Moshe Uzan
|
Yaakov HaCohen-Kerner
Profiling Hate Speech Spreaders on Twitter: Exploiting Textual Analysis of Tweets and Combination of Textual Representations
Cláudio Moisés Valiense de Andrade
|
Marcos André Gonçalves
Profiling Hate Speech Spreaders on Twitter: SVM vs. Bi-LSTM
Inna Vogel
|
Meghana Meghana
Feature Vector Difference based Authorship Verification for Open-World Settings
Janith Weerasinghe
|
Rhia Singh
|
Rachel Greenstadt
Style Change Detection Based On Writing Style Similarity
Zhijie Zhang
|
Zhongyuan Han
|
Leilei Kong
|
Xiaogang Miao
|
Zeyang Peng
|
Jieming Zeng
|
Haojie Cao
|
Jinxi Zhang
|
Ziwei Xiao
|
Xuemei Peng
Overview of SimpleText CLEF 2021 Workshop and Pilot Tasks
Liana Ermakova
|
Patrice Bellot
|
Pavel Braslavski
|
Jaap Kamps
|
Josiane Mothe
|
Diana Nurbakova
|
Irina Ovchinnikova
|
Eric SanJuan
Overview of the SimpleText Workshop at INFORSID-2021: Scientific Text Simplification and Popularization
Liana Ermakova
|
Josiane Mothe
|
Eric SanJuan
Multimodal science communication: from documentary research to infographic via mind mapping
Sílvia Araújo
|
Radia Hannachi
LIA@SimpleText2021: automatic query extraction from press outlets for mining related readable passages in scientific literature
Malek Hajjem
|
Eric SanJuan
What Science-Related Topics Need to Be Popularized? A Comparative Study
Irina Ovchinnikova
|
Diana Nurbakova
|
Liana Ermakova
Importance of Data and Controllability in Neural Text Simplification
Wei Xu
Overview of Touché 2021: Argument Retrieval
Alexander Bondarenko
|
Lukas Gienapp
|
Maik Fröbe
|
Meriem Beloucif
|
Yamen Ajjour
|
Alexander Panchenko
|
Chris Biemann
|
Benno Stein
|
Henning Wachsmuth
|
Martin Potthast
|
Matthias Hagen
Exploring Argument Retrieval for Controversial Questions Using Retrieve and Re-rank Pipelines
Raunak Agarwal
|
Andrei Koniaev
|
Robin Schaefer
Learning to Rank Arguments with Feature Selection
Christopher Akiki
|
Maik Fröbe
|
Matthias Hagen
|
Martin Potthast
Development of an IR System for Argument Search
Marco Alecci
|
Tommaso Baldo
|
Luca Martinelli
|
Elia Ziroldo
DistilBERT-based Argumentation Retrieval for Answering Comparative Questions
Alaa Alhamzeh
|
Mohamed Bouhaouel
|
Elöd Egyed-Zsigmond
|
Jelena Mitrovic
Document retrieval task on controversial topic with Re-Ranking approach
Andrea Cassetta
|
Alberto Piva
|
Enrico Vicentini
Retrieving Comparative Arguments using Ensemble Methods and BERT
Viktoria Chekalina
|
Alexander Panchenko
Quality-aware Argument Retrieval with Topical Clustering
Lukas Gienapp
Exploring BERT Synonyms and Quality Prediction for Argument Retrieval
Tommaso Green
|
Luca Moroldo
|
Alberto Valente
Touché Task 2: Comparative Argument Retrieval A document-based search engine for answering comparative questions
Daniel Helmrich
|
Denis Streitmatter
|
Fionn Fuchs
|
Maximilian Heykeroth
Argument Retrieval for Comparative Questions based on independent features
Thi Kim Hanh Luu
|
Jan-Niklas Weder
Exploring Document Expansion for Argument Retrieval
Alina Mailach
|
Denise Arnold
|
Stefan Eysoldt
|
Simon Kleine
A Search Engine System for Touché Argument Retrieval task to answer Controversial Questions
Edoardo Raimondi
|
Marco Alessio
|
Nicola Levorato
Team Skeletor at Touché 2021: Argument Retrieval and Visualization for Controversial Questions
Kevin Ros
|
Carl Edwards
|
Heng Ji
|
Chengxiang Zhai
Thor at Touché 2021: Argument Retrieval for Comparative Questions
Ekaterina Shirshakova
|
Ahmad Wattar