Main »

Shared Tasks (2019)

Content

up

TREC: Conversational Assistance

Shared Task Website

Participant papers:

pdf dblp
DCU at the TREC 2019 Conversational Assistance Track
Piyush Arora | Abhishek Kaushik | Gareth J. F. Jones

pdf dblp
Query and Answer Expansion from Conversation History
Jheng-Hong Yang | Sheng-Chieh Lin | Chuan-Ju Wang | Jimmy Lin | Ming-Feng Tsai

pdf dblp
A Step towards Context Identification for Conversational Search
Vaibhav Kumar | Jamie Callan

pdf dblp
LINBER: A Retrieval-based Conversational Assistant using Entity Linking and BERT
Yucheng Li | Yuxiang Sun | Jun Zhang | Pei Huo | Yan Yang | Liang He

pdf dblp
ICTNET at Trec 2019 Conversational Assistance Track
Changying Hao | Yuanyuan Zhang | Weifeng Yang | Heng Zhao

pdf dblp
CROWN: Conversational Passage Ranking by Reasoning over Word Networks
Magdalena Kaiser | Rishiraj Saha Roy | Gerhard Weikum

pdf dblp
MPII at TREC CAsT 2019: Incoporating Query Context into a BERT Re-ranker
Samarth Mehrotra | Andrew Yates

pdf dblp
RUCIR at TREC 2019: Conversational Assistance Track
Xiaochen Zuo | Xue Yang | Zhicheng Dou | Ji-Rong Wen

pdf dblp
Radboud University at TREC 2019
Chris Kamphuis | Faegheh Hasibi | Arjen P. de Vries | Tanja Crijns

pdf dblp
TREMA-UNH at CAR 2019
Jordan Ramsdell | Sumanta Kashyapi | Shubham Chatterjee | Pooja Oza | Laura Dietz

pdf dblp
Exploring Query Reformulation for Conversational Information Seeking
Disen Wang | Hui Fang

pdf dblp
UMass at TREC 2019 Conversational Assistance Track
Helia Hashemi | W. Bruce Croft

pdf dblp
Predicting Relevant Conversation Turns for Improved Retrieval in Multi-Turn Conversational Search
Esteban A. Ríssola | Manajit Chakraborty | Fabio Crestani | Mohammad Aliannejadi

pdf dblp
ILPS at TREC 2019 Conversational Assistant Track
Nikos Voskarides | Dan Li | Andreas Panteli | Pengjie Ren

pdf dblp
VES Team at TREC Conversational Assistance Track (CAsT) 2019
Vasileios Stamatis | Leif Azzopardi | Alan Wilson

pdf dblp
WaterlooClarke at the TREC 2019 Conversational Assistant Track
Charles L. A. Clarke

pdf dblp
ICTNET at Trec 2019 Conversational Assistance Track
Changying Hao | Yuanyuan Zhang | Weifeng Yang | Heng Zhao

up

TREC: Deep Learning

Shared Task Website

Participant papers:

pdf dblp
SIB Text Mining at TREC 2019 Deep Learning Track: Working Note
Julien Knafou | Matt Jeffryes | Luc Mottin | Douglas Teodoro | Patrick Ruch

pdf dblp
Brown University at TREC Deep Learning 2019
George Zerveas | Ruochen Zhang | Leila Kim | Carsten Eickhoff

pdf dblp
CCNU_IRGroup @ TREC 2019 Deep Learning Track
Hao Hu | Junmei Wang | Xinhui Tu | Tingting He

pdf dblp
An Evaluation of Weakly-Supervised DeepCT in the TREC 2019 Deep Learning Track
Zhuyun Dai | Jamie Callan

pdf dblp
ICTNET at TREC 2019 Deep Learning Track
Jiangui Chen | Yinqiong Cai | Haoquan Jiang

pdf dblp
IDST at TREC 2019 Deep Learning Track: Deep Cascade Ranking with Generation-based Document Expansion and Pre-trained Language Modeling
Ming Yan | Chenliang Li | Chen Wu | Bin Bi | Wei Wang | Jiangnan Xia | Luo Si

pdf dblp
DUET AT TREC 2019 DEEP LEARNING TRACK
Bhaskar Mitra | Nick Craswell

pdf dblp
TREMA-UNH at CAR 2019
Jordan Ramsdell | Sumanta Kashyapi | Shubham Chatterjee | Pooja Oza | Laura Dietz

pdf dblp
TU Wien @ TREC Deep Learning '19 - Simple Contextualization for Re-ranking
Sebastian Hofstätter | Markus Zlabinger | Allan Hanbury

pdf dblp
TUA1 at the TREC 2019: Deep Learning Track
Yun Gao | Xin Kang | Fuji Ren | Haitao Yu

pdf dblp
UCAS at TREC-2019 Deep Learning Track
Xuanang Chen | Canjia Li | Ben He | Yingfei Sun

pdf dblp
Higway BERT for Passage Ranking
Di Zhao | Hui Fang

pdf dblp
University of Glasgow Terrier Team at the TREC 2019 Deep Learning Track
Ting Su | Xi Wang | Craig Macdonald | Iadh Ounis

pdf dblp
ICTNET at TREC 2019 Complex Answer Retrieval Track
Hongfei Ren | Ruibin Xiong | Yutao Zeng | Jiangui Chen | Yinqiong Cai | Haoquan Jiang

up

TREC: Precision Medicine

Shared Task Website

Overview papers:

pdf dblp
Overview of the TREC 2019 Precision Medicine Track
Kirk Roberts | Dina Demner-Fushman | Ellen M. Voorhees | William R. Hersh | Steven Bedrick | Alexander J. Lazar | Shubham Pant | Funda Meric-Bernstam

Participant papers:

pdf dblp
Designing retrieval models to contrast precision-driven ad hoc search vs. recall-driven treatment extraction in Precision Medicine
Déborah Caucheteur | Emilie Pasche | Julien Gobeill | Anaïs Mottaz | Luc Mottin | Patrick Ruch

pdf dblp
Brown University at TREC Precision Medicine 2019
Abdullah Ahmed | Gil Alon | Bashar Zaidat | Isaac Nathoo | Hwai-Liang Tung | Charles Wang | Carsten Eickhoff

pdf dblp
CBNU at TREC 2019 Precision Medicine Track
Seung-Hyeon Jo | Kyung-Soon Lee

pdf dblp
SCUT-CCNL at TREC 2019 Precision Medicine Track
Xiaofeng Liu | Lu Li | Zuoxi Yang | Shoubin Dong

pdf dblp
Retrieving Scientific Abstracts using Venue- and Concept-based Approaches: CincyMedIR at TREC 2019 Precision Medicine Track
Danny T. Y. Wu | Wu-Chen Su | James J. Lee

pdf dblp
CSIRO at 2019 TREC Precision Medicine Track
Maciej Rybinski | Sarvnaz Karimi | Cécile Paris

pdf dblp
DUTIR at TREC 2019: Precision Medicine Track
Jingkun Feng | Zhihao Yang | Zhiqiang Liu | Ling Luo | Hongfei Lin | Jian Wang

pdf dblp
ECNU-ICA team at TREC 2019 Precision Medicine Track
Qi Zheng | Yong Li | Jiaying Hu | Yan Yang | Liang He | Yi Xue

pdf dblp
TREC 2019 Precision Medicine - Medical University of Graz
Pilar López-Úbeda | José Antonio Vera-Ramos | Pablo López-García

pdf dblp
Exploring how to Combine Query Reformulations for Precision Medicine
Giorgio Maria Di Nunzio | Stefano Marchesin | Maristella Agosti

pdf dblp
JULIE Lab & Med Uni Graz @ TREC 2019 Precision Medicine Track
Erik Faessler | Udo Hahn | Michel Oleynik

pdf dblp
Poznan Contribution to TREC-PM 2019
Artur Cieslewicz | Jakub Dutkiewicz | Czeslaw Jedrzejek

pdf dblp
UNC SILS at TREC 2019 Precision Medicine Track
Jiaming Qu | Yue Wang

pdf dblp
Deep Learning Approach for the Precision Medicine Track
Juan Pablo Consuegra-Ayala | Giovanni Stilo | Alessandro Celi | Amleto Di Salle

up

FIRE: Author profiling and deception detection in Arabic (APDA)

Shared Task Website

Overview papers:

Participant papers:

pdf dblp
BERT-Based Arabic Social Media Author Profiling
Chiyu Zhang | Muhammad Abdul-Mageed

pdf dblp
NAYEL@APDA: Machine Learning Approach for Author Profiling and Deception Detection in Arabic Texts
Hamada A. Nayel

pdf dblp
Arabic Author Profiling and Deception Detection using Traditional Learning Methodologies with Word Embedding
Haritha Ananthakrishnan | Akshaya Ranganathan | D. Thenmozhi | Chandrabose Aravindan

pdf dblp
Author Profiling in Arabic Tweets: An Approach based on Multi-Classification with Word and Character Features
Yutong Sun | Hui Ning | Kaisheng Chen | Leilei Kong | Yunpeng Yang | Jiexi Wang | Haoliang Qi

pdf dblp
Deception Detection in Arabic Texts Using N-grams Text Mining
Jorge Cabrejas | Jose Vicente Martí | Antonio Pajares | Víctor Sanchis

pdf dblp
DBMS-KU Approach for Author Profiling and Deception Detection in Arabic
Al Hafiz Akbar Maulana Siagian | Masayoshi Aritsugi

pdf dblp
KCE DALab-APDA@FIRE2019: Author Profiling and Deception Detection in Arabic using Weighted Embedding
Sharmila Devi V | Kannimuthu S | Ravikumar G | Anand Kumar M

pdf dblp
Predicting Author Characteristics of Arabic Tweets through Author Profiling
Isabella Karabasz | Paolo Cellini | Gonzalo Galiana

pdf dblp
KCE DALab-APDA@FIRE2019: Author Profiling and Deception Detection in Arabic using Weighted Embedding
Sharmila Devi V | Kannimuthu S | Ravikumar G | Anand Kumar M

pdf dblp
Arabic Tweeps Traits Prediction AT2P
Khaled Alrifai | Ghaida Rebdawi | Nada Ghneim

pdf dblp
Detection of deceptions in Twitter and News Headlines written in Arabic
Francisco Eros Blázquez del Rio | Manuel Conde Rodríguez | Jose M. Escalante

pdf dblp
Gender Age and Dialect Recognition using Tweets in a Deep Learning Framework - Notebook for FIRE 2019
Chanchal Suman | Purushottam Kumar | Sriparna Saha | Pushpak Bhattacharyya

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 2019: Hate Speech and Offensive Content Identification in Indo-European Languages
Sandip Modha | Thomas Mandl | Prasenjit Majumder | Daksh Patel

Participant papers:

pdf dblp
YNU_Wb at HASOC 2019: Ordered Neurons LSTM with Attention for Identifying Hate Speech and Offensive Language
Bin Wang | Yunxia Ding | Shengyan Liu | Xiaobing Zhou

pdf dblp
BRUMS at HASOC 2019: Deep Learning Models for Multilingual Hate Speech and Offensive Language Identification
Tharindu Ranasinghe | Marcos Zampieri | Hansi Hettiarachchi

pdf dblp
3Idiots at HASOC 2019: Fine-tuning Transformer Neural Networks for Hate Speech Identification in Indo-European Languages
Shubhanshu Mishra | Sudhanshu Mishra

pdf dblp
Vito at HASOC 2019: Detecting Hate Speech and Offensive Content through Ensembles
Victor Nina-Alcocer

pdf dblp
RALIGRAPH at HASOC 2019: VGCN-BERT: Augmenting BERT with Graph Embedding for Offensive Language Detection
Zhibin Lu | Jian-Yun Nie

pdf dblp
IIITG-ADBU at HASOC 2019: Automated Hate Speech and Offensive Content Detection in English and Code-Mixed Hindi Text
Arup Baruah | Ferdous Ahmed Barbhuiya | Kuntal Dey

pdf dblp
QutNocturnal@HASOC'19: CNN for Hate Speech and Offensive Content Identification in Hindi Language
Md. Abul Bashar | Richi Nayak

pdf dblp
HateMonitors: Language Agnostic Abuse Detection in Social Media
Punyajoy Saha | Binny Mathew | Pawan Goyal | Animesh Mukherjee

pdf dblp
QMUL-NLP at HASOC 2019: Offensive Content Detection and Classification in Social Media
Aiqi Jiang

pdf dblp
LSV-UdS at HASOC 2019: The Problem of Defining Hate
Dana Ruiter | Md. Ataur Rahman | Dietrich Klakow

pdf dblp
IIIT-Hyderabad at HASOC 2019: Hate Speech Detection
Vandan Mujadia | Pruthwik Mishra | Dipti Misra Sharma

pdf dblp
IMT Mines Ales at HASOC 2019: Automatic Hate Speech Detection
Jean-Christophe Mensonides | Pierre-Antoine Jean | Andon Tchechmedjiev | Sébastien Harispe

pdf dblp
KMI-Panlingua at HASOC 2019: SVM vs BERT for Hate Speech and Offensive Content Detection
Ritesh Kumar | Atul Kr. Ojha

pdf dblp
TheNorth at HASOC 2019: Hate Speech Detection in Social Media Data
Pedro Alonso | Rajkumar Saini | György Kovács

pdf dblp
UACh-INAOE at HASOC 2019: Detecting Aggressive Tweets by Incorporating Authors' Traits as Descriptors
Marco Casavantes | Roberto López | Luis Carlos González-Gurrola | Manuel Montes-y-Gómez

pdf dblp
IRLab@IITBHU at HASOC 2019: Traditional Machine Learning for Hate Speech and Offensive Content Identification
Anita Saroj | Rajesh Kumar Mundotiya | Sukomal Pal

pdf dblp
DA Master at HASOC 2019: Identification of Hate Speech using Machine Learning and Deep Learning approaches for social media post
Apurva Parikh | Harsh Desai | Abhimanyu Singh Bisht

pdf dblp
Team FalsePostive at HASOC 2019: Transfer-Learning for Detection and Classification of Hate Speech
Kaushik Amar Das | Ferdous Ahmed Barbhuiya

pdf dblp
AI ML NIT Patna at HASOC 2019: Deep Learning Approach for Identification of Abusive Content
Kirti Kumari | Jyoti Prakash Singh

pdf dblp
DEEP at HASOC2019: A Machine Learning Framework for Hate Speech and Offensive Language Detection
Hamada A. Nayel | H. L. Shashirekha

pdf dblp
IIT Bombay at HASOC 2019: Supervised Hate Speech and Offensive Content Detection in Indo-European Languages
Urmi Saha | Abhijeet Dubey | Pushpak Bhattacharyya

pdf dblp
CIT Kokrajhar Team: LSTM based Deep RNN Architecture for Hate Speech and Offensive Content (HASOC) Identification in Indo-European Languages
Baidya Nath Saha | Apurbalal Senapati

pdf dblp
Amrita CEN at HASOC 2019: Hate Speech Detection in Roman and Devanagiri Scripted Text
Sreelakshmi K | Premjith B | Soman K. P

pdf dblp
DLRG@HASOC 2019: An Enhanced Ensemble Classifier for Hate and Offensive Content Identification
R. Rajalakshmi | B. Yashwant Reddy

up

CLEF: CENTRE@CLEF - CLEF/NTCIR/TREC Reproducibility

Shared Task Website

Overview papers:

pdf dblp
CENTRE@CLEF2019: Overview of the Replicability and Reproducibility Tasks
Nicola Ferro | Norbert Fuhr | Maria Maistro | Tetsuya Sakai | Ian Soboroff

Participant papers:

pdf dblp
Dockerizing Automatic Routing Runs for The Open-Source IR Replicability Challenge (OSIRRC 2019)
Timo Breuer | Philipp Schaer

up

CLEF: CheckThat! - Automatic Identification and Verification of Claims

Shared Task Website

Overview papers:

pdf dblp
Overview of the CLEF-2019 CheckThat! Lab: Automatic Identification and Verification of Claims. Task 1: Check-Worthiness
Pepa Atanasova | Preslav Nakov | Georgi Karadzhov | Mitra Mohtarami | Giovanni Da San Martino

pdf dblp
Overview of the CLEF-2019 CheckThat! Lab: Automatic Identification and Verification of Claims. Task 2: Evidence and Factuality
Maram Hasanain | Reem Suwaileh | Tamer Elsayed | Alberto Barrón-Cedeño | Preslav Nakov

Participant papers:

pdf dblp
TOBB-ETU at CLEF 2019: Prioritizing Claims Based on Check-Worthiness
Bahadir Altun | Mücahid Kutlu

pdf dblp
CheckThat! 2019 UAICS
Lucia Georgiana Coca | Ciprian-Gabriel Cusmuliuc | Adrian Iftene

pdf dblp
A Hybrid Model to Rank Sentences for Check-worthiness
Rudra Dhar | Subhabrata Dutta | Dipankar Das

pdf dblp
TheEarthIsFlat's Submission to CLEF'19CheckThat! Challenge
Luca Favano | Mark J. Carman | Pier Luca Lanzi

pdf dblp
UPV-UMA at CheckThat! Lab: Verifying Arabic Claims using a Cross Lingual Approach
Bilal Ghanem | Goran Glavas | Anastasia Giachanou | Simone Paolo Ponzetto | Paolo Rosso | Francisco M. Rangel Pardo

pdf dblp
The IPIPAN Team Participation in the Check-Worthiness Task of the CLEF2019 CheckThat! Lab
Jakub Gasior | Piotr Przybyla

pdf dblp
bigIR at CLEF 2019: Automatic Verification of Arabic Claims over the Web
Fatima Haouari | Zien Sheikh Ali | Tamer Elsayed

pdf dblp
Check That! Automatic Identification and Verification of Claims: IIT(ISM) @CLEF'19 Check Worthiness
Ritesh Kumar | Shivansh Prakash | Shashank Kumar | Rajendra Pamula

pdf dblp
Using External Knowledge Bases and Coreference Resolution for Detecting Check-Worthy Statements
Salar Mohtaj | Tilo Himmelsbach | Vinicius Woloszyn | Sebastian Möller

pdf dblp
Entity Detection for Check-worthiness Prediction: Glasgow Terrier at CLEF CheckThat! 2019
Ting Su | Craig Macdonald | Iadh Ounis

pdf dblp
Automatic Verification of Political Claims Based on Morphological Features
Ibtissam Touahri | Azzeddine Mazroui

up

CLEF: CLEF eHealth

Shared Task Website

Overview papers:

pdf dblp
CLEF 2019 Technology Assisted Reviews in Empirical Medicine Overview
Evangelos Kanoulas | Dan Li | Leif Azzopardi | René Spijker

pdf dblp
Overview of the CLEF eHealth 2019 Multilingual Information Extraction
Mariana L. Neves | Daniel Butzke | Antje Dörendahl | Nora Leich | Benedikt Hummel | Gilbert Schönfelder | Barbara Grune

Participant papers:

pdf dblp
DEMIR at CLEF eHealth 2019: Information Retrieval based Classification of Animal Experiments Summaries
Nizar Ahmed | Aliriza Aribas | Adil Alpkocak

pdf dblp
Ranking Studies for Systematic Reviews Using Query Adaptation: University of Sheffield's Approach to CLEF eHealth 2019 Task 2
Amal Alharbi | Mark Stevenson

pdf dblp
MLT-DFKI at CLEF eHealth 2019: Multi-label Classification of ICD-10 Codes with BERT
Saadullah Amin | Guenter Neumann | Katherine Dunfield | Anna Vechkaeva | Kathryn Annette Chapman | Morgan Kelly Wixted

pdf dblp
Classification of Animal Experiments: A Reproducible Study. IMS Unipd at CLEF eHealth Task 1
Giorgio Maria Di Nunzio

pdf dblp
A Distributed Effort Approach for Systematic Reviews. IMS Unipd At CLEF 2019 eHealth Task 2
Giorgio Maria Di Nunzio

pdf dblp
Deep Learning Approach for Semantic Indexing of Animal Experiments Summaries in German Language
S. Kayalvizhi | D. Thenmozhi | Chandrabose Aravindan

pdf dblp
Classifying German Animal Experiment Summaries with Multi-lingual BERT at CLEF eHealth 2019 Task 1
Mario Sänger | Leon Weber | Madeleine Kittner | Ulf Leser

up

CLEF: eRisk - Early Risk Prediction on the Internet

Shared Task Website

Overview papers:

pdf dblp
Overview of eRisk at CLEF 2019: Early Risk Prediction on the Internet (extended overview)
David E. Losada | Fabio Crestani | Javier Parapar

Participant papers:

pdf dblp
Transfer Learning for Depression: Early Detection and Severity Prediction from Social Media Postings
Pegah Abed-Esfahani | Derek Howard | Marta Maslej | Sejal Patel | Vamika Mann | Sarah Goegan | Leon French

pdf dblp
INAOE-CIMAT at eRisk 2019: Detecting Signs of Anorexia using Fine-Grained Emotions
Mario Ezra Aragón | Adrián Pastor López-Monroy | Manuel Montes-y-Gómez

pdf dblp
UNSL at eRisk 2019: a Unified Approach for Anorexia, Self-harm and Depression Detection in Social Media
Sergio Gastón Burdisso | Marcelo Errecalde | Manuel Montes-y-Gómez

pdf dblp
Uppsala University and Gavagai at CLEF eRISK: Comparing Word Embedding Models
Elena Fano | Jussi Karlgren | Joakim Nivre

pdf dblp
UDE at eRisk 2019: Early Risk Prediction on the Internet
Razan Masood | Faneva Ramiandrisoa | Ahmet Aker

pdf dblp
Quick and (maybe not so) Easy Detection of Anorexia in Social Media Posts
Elham Mohammadi | Hessam Amini | Leila Kosseim

pdf dblp
A Baseline Approach for Early Detection of Signs of Anorexia and Self-harm in Reddit Posts
Nona Naderi | Julien Gobeill | Douglas Teodoro | Emilie Pasche | Patrick Ruch

pdf dblp
LTL-INAOE's Participation at eRisk 2019: Detecting Anorexia in Social Media through Shared Personal Information
Rosa María Ortega-Mendoza | Delia Irazú Hernández Farías | Manuel Montes-y-Gómez

pdf dblp
Integrating UMLS for Early Detection of Sings of Anorexia
Flor Miriam Plaza del Arco | Pilar López-Úbeda | Manuel Carlos Díaz-Galiano | Luis Alfonso Ureña López | María Teresa Martín Valdivia

pdf dblp
Attentive Multi-stage Learning for Early Risk Detection of Signs of Anorexia and Self-harm on Social Media
Waleed Ragheb | Jérôme Azé | Sandra Bringay | Maximilien Servajean

pdf dblp
Early Detection of Anorexia using RNN-LSTM and SVM Classifiers
Akshaya Ranganathan | Haritha A | D. Thenmozhi | Chandrabose Aravindan

pdf dblp
Early Risk Prediction by means of DeepLearning
Pablo Ráez García Retamero | Isabel Segura-Bedmar

pdf dblp
A Data-Driven Approach for Measuring the Severity of the Signs of Depression using Reddit Posts
Paul Van Rijen | Douglas Teodoro | Nona Naderi | Luc Mottin | Julien Knafou | Matt Jeffryes | Patrick Ruch

pdf dblp
BioInfo@UAVR at eRisk 2019: delving into Social Media Texts for the Early Detection of Mental and Food Disorders
Alina Trifan | José Luís Oliveira

up

CLEF: LifeCLEF - Biodiversity Identification and Prediction

Shared Task Website

Overview papers:

pdf dblp
Overview of LifeCLEF Plant Identification Task 2019: diving into Data Deficient Tropical Countries
Hervé Goëau | Pierre Bonnet | Alexis Joly

pdf dblp
Overview of BirdCLEF 2019: Large-Scale Bird Recognition in Soundscapes
Stefan Kahl | Fabian-Robert Stöter | Hervé Goëau | Hervé Glotin | Bob Planqué | Willem-Pier Vellinga | Alexis Joly

pdf dblp
Overview of GeoLifeCLEF 2019: Plant Species Prediction using Environment and Animal Occurrences
Christophe Botella | Maximilien Servajean | Pierre Bonnet | Alexis Joly

Participant papers:

pdf dblp
Location-Based Species Recommendation - GeoLifeCLEF 2019 Challenge
Costel-Sergiu Atodiresei | Adrian Iftene

pdf dblp
Inception-v3 Based Method of LifeCLEF 2019 Bird Recognition
Jisheng Bai | Bolun Wang | Chen Chen | Jianfeng Chen | Zhonghua Fu

pdf dblp
Plant Identication on Amazonian and Guiana Shield Flora: NEUON submission to LifeCLEF 2019 Plant
Sophia Chulif | Kiat Jing Heng | Teck Wei Chan | Mohammad Abdullah Al Monnaf | Yang Loong Chang

pdf dblp
Species Recommendation using Machine Learning - GeoLifeCLEF 2019
Nanda H. Krishna | Praveen Kumar R | Ram Kaushik R | Palaniappan Mirunalini | Chandrabose Aravindan | S. M. Jaisakthi

pdf dblp
Bird Sound Classification Using Convolutional Neural Networks
Chih-Yuan Koh | Jaw-Yuan Chang | Chiang-Lin Tai | Da-Yo Huang | Han-Hsing Hsieh | Yi-Wen Liu

pdf dblp
Bird Species Identification in Soundscapes
Mario Lasseck

pdf dblp
Species Recommendation using Intensity Models and Sampling Bias Correction (GeoLifeCLEF 2019: Lof_of_Lof team)
Pascal Monestiez | Christophe Botella

pdf dblp
Location-Based Plant Species Prediction Using A CNN Model Trained On Several Kingdoms - Best Method Of GeoLifeCLEF 2019 Challenge
Mathilde Negri | Maximilien Servajean | Benjamin Deneu | Alexis Joly

pdf dblp
Non-local DenseNet for Plant CLEF 2019 Contest
Dat Nguyen Thanh | Georges Quénot | Lorraine Goeuriot

pdf dblp
Recognition of the Amazonian flora by InceptionNetworks with Test-time Class Prior Estimation
Lukás Picek | Milan Sulc | Jiri Matas

pdf dblp
Plant Recommendation using Environment and Biotic Associations
Sara Si-Moussi | Mickael Hedde | Wilfried Thuiller

up

CLEF: ImageCLEF - Multimedia Retrieval in CLEF

Shared Task Website

Overview papers:

pdf dblp
Overview of ImageCLEFtuberculosis 2019 - Automatic CT-based Report Generation and Tuberculosis Severity Assessment
Yashin Dicente Cid | Vitali Liauchuk | Dzmitri Klimuk | Aleh Tarasau | Vassili Kovalev | Henning Müller

pdf dblp
Overview of ImageCLEFcoral 2019 Task
Jon Chamberlain | Antonio Campello | Jessica P. Wright | Louis G. Clift | Adrian F. Clark | Alba García Seco de Herrera

pdf dblp
Overview of ImageCLEFlifelog 2019: Solve My Life Puzzle and Lifelog Moment Retrieval
Duc-Tien Dang-Nguyen | Luca Piras | Michael Riegler | Liting Zhou | Mathias Lux | Minh-Triet Tran | Tu-Khiem Le | Van-Tu Ninh | Cathal Gurrin

pdf dblp
Overview of the ImageCLEFmed 2019 Concept Detection Task
Obioma Pelka | Christoph M. Friedrich | Alba García Seco de Herrera | Henning Müller

pdf dblp
Overview of the ImageCLEFsecurity 2019: File Forgery Detection Tasks
Konstantinos Karampidis | Nikos Vasilopoulos | Carlos Cuevas | Carlos Roberto del-Blanco | Ergina Kavallieratou | Narciso García

pdf dblp
VQA-Med: Overview of the Medical Visual Question Answering Task at ImageCLEF 2019
Asma Ben Abacha | Sadid A. Hasan | Vivek V. Datla | Joey Liu | Dina Demner-Fushman | Henning Müller

Participant papers:

pdf dblp
JUST at ImageCLEF 2019 Visual Question Answering in the Medical Domain
Aisha Al-Sadi | Bashar Talafha | Mahmoud Al-Ayyoub | Yaser Jararweh | Fumie Costen

pdf dblp
An Encoder-Decoder Model for Visual Question Answering in the Medical Domain
Imane Allaouzi | Mohamed Ben Ahmed | Badr Benamrou

pdf dblp
A Weighted Rule-Based Model for File Forgery Detection: UA.PT Bioinformatics at ImageCLEF 2019
João Rafael Almeida | Pedro Freire | Olga Fajarda | José Luís Oliveira

pdf dblp
Medical Visual Question Answering at Image CLEF 2019- VQA Med
Mohit Bansal | Tanmay Gadgil | Rishi Shah | Parag Verma

pdf dblp
Big Data For Lifelog Moments Retrieval Improvement
Fatma Ben Abdallah | Ghada Feki | Anis Ben Ammar | Chokri Ben Amar

pdf dblp
Feature and Deep Learning Based Approaches for Automatic Report Generation and Severity Scoring of Lung Tuberculosis from CT Images
Kirill Bogomasov | Daniel Braun | Andreas Burbach | Ludmila Himmelspach | Stefan Conrad

pdf dblp
A two-staged Approach for Localization and Classification of Coral Reef Structures and Compositions
Kirill Bogomasov | Philipp Grawe | Stefan Conrad

pdf dblp
Automatic Classification of Coral Images using Color and Textures
Cristina M. R. Caridade | André R. S. Marçal

pdf dblp
BIDAL@imageCLEFlifelog2019: The Role of Content and Context of Daily Activities in Insights from Lifelogs
Minh-Son Dao | Anh-Khoa Vo | Trong-Dat Phan | Koji Zettsu

pdf dblp
Lung Graph-Model Classification with SVM and CNN for Tuberculosis Severity Assessment and Automatic CT Report Generation
Yashin Dicente Cid | Henning Müller

pdf dblp
Multimedia Lab @ ImageCLEF 2019 Lifelog Moment Retrieval Task
Mihai Dogariu | Bogdan Ionescu

pdf dblp
ImageCLEF2019: Tuberculosis - Severity Scoring and CT Report with Neural Networks, Transfer Learning and Ensembling
Amilcare Gentili

pdf dblp
Informative and Intriguing Visual Features: UA.PT Bioinformatics in ImageCLEF Caption 2019
Ana Jorge Gonçalves | Eduardo Pinho | Carlos Costa

pdf dblp
ImageSem at ImageCLEFmed Caption 2019 Task: a Two-stage Medical Concept Detection Strategy
Zhen Guo | Xuwen Wang | Yu Zhang | Jiao Li

pdf dblp
ImageCLEF 2019: Deep Learning for Tuberculosis CT Image Analysis
Abdelkader Hamadi | Noreddine Belhadj Cheikh | Yamina Zouatine | Si Mohamed Bekkai Menad | Mohamed Redha Djebbara

pdf dblp
Solving Life Puzzle with Visual Context-based Clustering and Habit Reference
Trung-Hieu Hoang | Mai-Khiem Tran | Vinh-Tiep Nguyen | Minh-Triet Tran

pdf dblp
ImageCLEF 2019: CT Image Analysis for TB Severity Scoring and CT Report Generation using Autoencoded Image Features
Siarhei Kazlouski

pdf dblp
Leveraging Medical Visual Question Answering with Supporting Facts
Tomasz Kornuta | Deepta Rajan | Chaitanya Shivade | Alexis Asseman | Ahmet S. Ozcan

pdf dblp
AUEB NLP Group at ImageCLEFmed Caption 2019
Vasiliki Kougia | John Pavlopoulos | Ion Androutsopoulos

pdf dblp
Lifelog Moment Retrieval with Advanced Semantic Extraction and Flexible Moment Visualization for Exploration
Nguyen-Khang Le | Dieu-Hien Nguyen | Vinh-Tiep Nguyen | Minh-Triet Tran

pdf dblp
ImageCLEF 2019: Projection-based CT Image Analysis for TB Severity Scoring and CT Report Generation
Vitali Liauchuk

pdf dblp
An Xception-GRU Model for Visual Question Answering in the Medical Domain
Shengyan Liu | Xiaozhi Ou | Jiao Che | Xiaobing Zhou | Haiyan Ding

pdf dblp
Using improved Optical Flow Model to Detect Tuberculosis
Fernando Llopis | Andrés Fuster Guilló | Jorge Azorín López | Irene Llopis

pdf dblp
Recurrent Attention Networks for Medical Concept Prediction
Sam Maksoud | Arnold Wiliem | Brian C. Lovell

pdf dblp
Image Steganalysis with Very Deep Convolutional Neural Networks
Naoya Mamada

pdf dblp
Multi-View CNN with MLP for Diagnosing Tuberculosis Patients Using CT Scans and Clinically Relevant Metadata
Abdela Ahmed Mossa | Abdulkerim Mohammed Yibre | Ulus Çevik

pdf dblp
LIFER 2.0: Discovering Personal Lifelog Insights using an Interactive Lifelog Retrieval System
Van-Tu Ninh | Tu-Khiem Le | Liting Zhou | Luca Piras | Michael Riegler | Mathias Lux | Minh-Triet Tran | Cathal Gurrin | Duc-Tien Dang-Nguyen

pdf dblp
Predicting Tuberculosis Related Lung Deformities from CT Scan Images Using 3D CNN
Anup Pattnaik | Sarthak Kanodia | Rahul Chowdhury | Smita Mohanty

pdf dblp
UA.PT Bioinformatics at ImageCLEF 2019: Lifelog Moment Retrieval based on Image Annotation and Natural Language Processing
Ricardo F. Ribeiro | António J. R. Neves | José Luís Oliveira

pdf dblp
ImageCLEF 2019: A 2D Convolutional Neural Network Approach for Severity Scoring of Lung Tuberculosis using CT Images
Kavitha S | Nandhinee P. R | Harshana S | Jahnavi Srividya S | Harrinei K

pdf dblp
Coral Reef Annotation and Localization using Faster R-CNN
S. M. Jaisakthi | Palaniappan Mirunalini | Chandrabose Aravindan

pdf dblp
Deep Multimodal Learning for Medical Visual Question Answering
Lei Shi | Feifan Liu | Max P. Rosen

pdf dblp
Biomedical Concept Detection in Medical Images: MQ-CSIRO at 2019 ImageCLEFmed Caption Task
Sonit Singh | Sarvnaz Karimi | Kevin Ho-Shon | Len Hamey

pdf dblp
Full Training versus Fine Tuning for Radiology Images Concept Detection Task for the ImageCLEF 2019 Challenge
Priyanshu Sinha | Saptarshi Purkayastha | Judy Gichoya

pdf dblp
LSTM in VQA-Med, is It Really Needed? JCE Study on the ImageCLEF 2019 Dataset
Avi Turner | Assaf Spanier

pdf dblp
Forged File Detection and Steganographic content Identification (FFDASCI) using Deep Learning Techniques
M. Srinivas | Akshay Nayak | Abhishek Bhatt

pdf dblp
Deep Segmentation: using Deep Convolutional Networks for Coral Reef pixel-wise Parsing
Aljoscha Steffens | Antonio Campello | James Ravenscroft | Adrian F. Clark | Hani Hagras

pdf dblp
ImageCLEFmed Tuberculosis 2019: Predicting CT Scans Severity Scores using Stage-Wise Boosting in Low-Resource Environments
Augustus Tabarcea | Valentin Rosca | Adrian Iftene

pdf dblp
Automated Lifelog Moment Retrieval based on Image Segmentation and Similarity Scores
Stefan Taubert | Stefan Kahl | Danny Kowerko | Maximilian Eibl

pdf dblp
MIT Manipal at ImageCLEF 2019 Visual Question Answering in Medical Domain
Abhishek Thanki | Krishnamoorthi Makkithaya

pdf dblp
A Multimedia Modular Approach to Lifelog Moment Retrieval
Maxime Tournadre | Guillaume Dupont | Vincent Pauwels | Bezeid Cheikh Mohamed Lmami | Alexandru-Lucian Gînsca

pdf dblp
Ensemble of Streamlined Bilinear Visual Question Answering Models for the ImageCLEF 2019 Challenge in the Medical Domain
Minh H. Vu | Raphael Sznitman | Tufve Nyholm | Tommy Löfstedt

pdf dblp
AI600 Lab at ImageCLEF 2019 Concept Detection Task
Xinyi Wang | Ningning Liu

pdf dblp
Concept Detection based on Multi-label Classification and Image Captioning Approach - DAMO at ImageCLEF 2019
Jing Xu | Wei Liu | Chao Liu | Yu Wang | Ying Chi | Xuansong Xie | Xian-Sheng Hua

pdf dblp
Zhejiang University at ImageCLEF 2019 Visual Question Answering in the Medical Domain
Xin Yan | Lin Li | Chulin Xie | Jun Xiao | Lin Gu

pdf dblp
ZJUTCVR Team at ImageCLEFlifelog2019 Lifelog Moment Retrieval Task
Pengfei Zhou | Cong Bai | Jie Xia

pdf dblp
TUA1 at ImageCLEF 2019 VQA-Med: a Classification and Generation Model based on Transfer Learning
Yangyang Zhou | Xin Kang | Fuji Ren

pdf dblp
Estimating Severity from CT Scans of Tuberculosis Patients using 3D Convolutional Nets and Slice Selection
Hasib Zunair | Aimon Rahman | Nabeel Mohammed

up

CLEF: PAN Lab on Digital Text Forensics and Stylometry

Shared Task Website

Overview papers:

pdf dblp
Overview of the Celebrity Profiling Task at PAN 2019
Matti Wiegmann | Benno Stein | Martin Potthast

pdf dblp
Overview of the Style Change Detection Task at PAN 2019
Eva Zangerle | Michael Tschuggnall | Günther Specht | Benno Stein | Martin Potthast

pdf dblp
Overview of the Track on Author Profiling and Deception Detection in Arabic
Francisco M. Rangel Pardo | Paolo Rosso | Anis Charfi | Wajdi Zaghouani | Bilal Ghanem | Javier Sánchez-Junquera

pdf dblp
FOI Cross-Domain Authorship Attribution for Criminal Investigations
Fredrik Johansson | Tim Isbister

Participant papers:

pdf dblp
Bots and Gender Prediction Using Language Independent Stylometry-based Approach
Shaina Ashraf | Omer Javed | Muhammad Adeel | Haider Iqbal | Rao Muhammad Adeel Nawab

pdf dblp
Author Profiling: Bot and Gender Prediction using a Multi-Aspect Ensemble Approach
Hamed Babaei Giglou | Mostafa Rahgouy | Taher Rahgooy | Mohammad Karami Sheykhlan | Erfan Mohammadzadeh

pdf dblp
Bot and Gender Detection of Twitter Accounts Using Distortion and LSA
Andrea Bacciu | Massimo La Morgia | Alessandro Mei | Eugenio Nerio Nemmi | Valerio Neri | Julinda Stefa

pdf dblp
Cross-Domain Authorship Attribution Combining Instance Based and Profile-Based Features
Andrea Bacciu | Massimo La Morgia | Alessandro Mei | Eugenio Nerio Nemmi | Valerio Neri | Julinda Stefa

pdf dblp
Improving Cross-domain Authorship Attribution by Combining Lexical and Syntactic Features
Martijn Bartelds | Wietse de Vries

pdf dblp
An Open-Vocabulary Approach to Authorship Attribution
Angelo Basile

pdf dblp
Bot Or Not: A Two-Level Approach In Author Profiling
Flora Bolonyai | Jakab Buda | Eszter Katona

pdf dblp
Tlemcen University: Bots and Gender Profiling Task
Rabia Bounaama | Mohammed El Amine Abderrahim

pdf dblp
Unsupervised Pretraining for Text Classification using Siamese Transfer Learning
Maximilian Bryan | J. Nathanael Philipp

pdf dblp
A Hierarchical Neural Network Approach for Bots and Gender Profiling
Andrea Cimino | Felice Dell'Orletta

pdf dblp
Multi-channel Open-set Cross-domain Authorship Attribution
José Eleandro Custódio | Ivandré Paraboni

pdf dblp
Combined CNN+RNN Bot and Gender Profiling
Rafael Felipe Sandroni Dias | Ivandré Paraboni

pdf dblp
Bots and Gender Profiling using Character Bigrams
Daniel Yacob Espinosa | Helena Gómez-Adorno | Grigori Sidorov

pdf dblp
Profiling Twitter Users Using Autogenerated Features Invariant to Data Distribution
Tiziano Fagni | Maurizio Tesconi

pdf dblp
A Four Feature Types Approach for Detecting Bot and Gender of Twitter Users
Johan Fernquist

pdf dblp
Identifying Twitter Bots Using a Convolutional Neural Network
Michael Färber | Agon Qurdina | Lule Ahmedi

pdf dblp
Naive-Bayesian Classification for Bot Detection in Twitter
Pablo Gamallo | Sattam Almatarneh

pdf dblp
Bot and Gender Detection using Textual and Stylistic Information
Anastasia Giachanou | Bilal Ghanem

pdf dblp
Using Hashtags and POS-Tags for Author Profiling
Flurin Gishamer

pdf dblp
Bots and Gender Profiling using a Multi-layer Architecture
Régis Goubin | Dorian Lefeuvre | Alaa Alhamzeh | Jelena Mitrovic | Elöd Egyed-Zsigmond | Leopold Ghemmogne Fossi

pdf dblp
Bots and Gender Profiling using Character and Word N-Grams
Mahendrakar Srinivasarao | Siddharth Manu

pdf dblp
An Unsophisticated Neural Bots and Gender Profiling System
Oren Halvani | Philipp Marquardt

pdf dblp
UniNE at PAN-CLEF 2019: Bots and Gender Task
Catherine Ikae | Sukunya Nath | Jacques Savoy

pdf dblp
Bots and Gender Profiling using Masking Techniques
Victor Jimenez-Villar | Javier Sánchez-Junquera | Manuel Montes-y-Gómez | Luis Villaseñor Pineda | Simone Paolo Ponzetto

pdf dblp
Supervised Classification of Twitter Accounts Based on Textual Content of Tweets
Fredrik Johansson

pdf dblp
FOI Cross-Domain Authorship Attribution for Criminal Investigations
Fredrik Johansson | Tim Isbister

pdf dblp
Author Profiling on Social Media: An Ensemble Learning Approach using Various Features
Youngjun Joo | Inchon Hwang

pdf dblp
Twitter User Profiling: Bot and Gender Identification
Dijana Kosmajac | Vlado Keselj

pdf dblp
Author Profiling using Semantic and Syntactic Features
György Kovács | Vanda Balogh | Purvanshi Mehta | Kumar Shridhar | Pedro Alonso | Marcus Liwicki

pdf dblp
An Evolutionary Approach to Build User Representations for Profiling of Bots and Humans in Twitter
Jesus López-Santillán | Luis Carlos González-Gurrola | Manuel Montes-y-Gómez | Graciela Ramírez Alonso | Olanda Prieto-Ordaz

pdf dblp
Twitter Bots and Gender Detection using Tf-idf
Asad Mahmood | Padmini Srinivasan

pdf dblp
Who is Hot and Who is Not? Profiling Celebs on Twitter
Matej Martinc | Blaz Skrlj | Senja Pollak

pdf dblp
Fake or Not: Distinguishing between Bots, Males and Females
Matej Martinc | Blaz Skrlj | Senja Pollak

pdf dblp
Authorship Attribution through Punctuation n-grams and Averaged Combination of SVM
Carolina Martín del Campo Rodríguez | Daniel Alejandro Pérez Alvarez | Christian Efraín Maldonado Sifuentes | Grigori Sidorov | Ildar Z. Batyrshin | Alexander F. Gelbukh

pdf dblp
Celebrity Profiling on Twitter using Sociolinguistic Features
Luis Gabriel Moreno-Sandoval | Edwin A. Puertas Del Castillo | Flor Miriam Plaza del Arco | Alexandra Pomares Quimbaya | Jorge Andrés Alvarado-Valencia | Luis Alfonso Ureña López

pdf dblp
Authorship Attribution in Fan-fictional Texts given Variable Length Character and Word n-grams
Lukas Muttenthaler | Gordon Lucas | Janek Amann

pdf dblp
Style Change Detection by Threshold Based and Window Merge Clustering Methods
Sukanya Nath

pdf dblp
Bot and Gender Identification: Textual Analysis of Tweets
Rodrigo Ribeiro Oliveira | Cláudio Moisés Valiense de Andrade | José Solenir Lima Figuerêdo | João B. Rocha-Junior | Rodrigo Tripodi Calumby | Iago Machado da Conceição Silva | Almir Moreira da Silva Neto

pdf dblp
A Hierarchical Attention Network for Bots and Gender Profiling
Cristian Onose | Claudiu-Marcel Nedelcu | Dumitru-Clementin Cercel | Stefan Trausan-Matu

pdf dblp
Celebrity Profiling with Transfer Learning
Björn Pelzer

pdf dblp
Bots and Gender Profiling with Convolutional Hierarchical Recurrent Neural Network
Juraj Petrík | Daniela Chudá

pdf dblp
Twitter Feeds Profiling with TF-IDF
Juraj Petrík | Daniela Chudá

pdf dblp
Using N-grams to detect Bots on Twitter
Juan Pizarro

pdf dblp
Identification Of Bot Accounts In Twitter Using 2D CNNs On User-generated Contents
Marco Polignano | Marco Giuseppe de Pinto | Pasquale Lops | Giovanni Semeraro

pdf dblp
Bots and Gender Profiling using a Deep Learning Approach
Jose R. Prieto Fontcuberta | Gretel Liz De la Peña Sarracén

pdf dblp
Detecting Bot Accounts on Twitter by Measuring Message Predictability
Piotr Przybyla

pdf dblp
Bots and Gender Profiling on Twitter using Sociolinguistic Features
Edwin A. Puertas Del Castillo | Luis Gabriel Moreno-Sandoval | Flor Miriam Plaza del Arco | Jorge Andrés Alvarado-Valencia | Alexandra Pomares Quimbaya | Luis Alfonso Ureña López

pdf dblp
Celebrity Profiling using TF-IDF, Logistic Regression, and SVM
Victor Radivchev | Alex Nikolov | Alexandrina Lambova

pdf dblp
Cross-domain Authorship Attribution: Author Identification using a Multi-Aspect Ensemble Approach
Mostafa Rahgouy | Hamed Babaei Giglou | Taher Rahgooy | Mohammad Karami Sheykhlan | Erfan Mohammadzadeh

pdf dblp
Bot and Gender Identification from Twitter
Radarapu Rakesh | Yogesh Vishwakarma | Akkajosyula Surya Sai Gopal | Anand Kumar M

pdf dblp
Bots and Gender Classification on Twitter
Usman Saeed | Farid Shirazi

pdf dblp
Bots and Gender Profiling on Twitter
Muhammad Hammad Fahim Siddiqui | Iqra Ameer | Alexander F. Gelbukh | Grigori Sidorov

pdf dblp
Bots and Gender Profiling using Character and Word N-Grams
Mahendrakar Srinivasarao | Siddharth Manu

pdf dblp
Stacked Bots and Gender Prediction from Twitter Feeds
Todor Staykovski

pdf dblp
Word Distance Approach for Celebrity Profiling
Muhammad Usman Asif | Muhammad Naeem | Zeeshan Ramzan | Fahad Najib

pdf dblp
Bots and Gender Identification Based on Stylometry of Tweet Minimal Structure and n-grams Model
Alex I. Valencia-Valencia | Helena Gómez-Adorno | Christopher Stephens Rhodes | Gibran Fuentes Pineda

pdf dblp
Bot and Gender Recognition on Tweets using Feature Count Deviations
Hans van Halteren

pdf dblp
Cross-Domain Authorship Attribution with Federales
Hans van Halteren

pdf dblp
Bot and Gender Identification in Twitter using Word and Character N-Grams
Inna Vogel | Peter Jiang

pdf dblp
Style Change Detection with Feed-forward Neural Networks
Chaoyuan Zuo | Yu Zhao | Ritwik Banerjee

up

CLEF: ProtestNews - Extracting Protests from News

Shared Task Website

Overview papers:

Participant papers:

pdf dblp
A Comparative Study on Generalizability of Information Extraction Models on Protest News
Erkan Basar | Simge Ekiz | Antal van den Bosch

pdf dblp
ProTestA: Identifying and Extracting Protest Events in News Notebook for ProtestNews Lab at CLEF 2019
Angelo Basile | Tommaso Caselli

pdf dblp
Linguistic Parameters and Word Embeddings for Protest News Detection in Text
Chedi Bechikh Ali

pdf dblp
ELMo Word Representations For News Protection
Elizaveta Maslennikova

pdf dblp
Classification and Event Identification Using Word Embedding
Anaïs Ollagnier | Hywel T. P. Williams

pdf dblp
Multitask Models for Supervised Protest Detection in Texts
Benjamin J. Radford

pdf dblp
Event Sentence Detection Task Using Attention Model
Ali Safaya

pdf dblp
CLEF ProtestNews Lab 2019: Contextualized Word Embeddings for Event Sentence Detection and Event Extraction
Gabriella Skitalinskaya | Jonas Klaff | Maximilian Spliethöver

pdf dblp
Extracting Protests from News Using LSTM models with different Attention Mechanisms
D. Thenmozhi | Chandrabose Aravindan | Abishek Shyamsunder | Adithya Viswanathan | Akash Kumar Pujari