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Shared Tasks (2019)


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TREC: Conversational Assistance

Shared Task Website

Overview papers:

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


Participant papers:

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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TREC: Deep Learning

Shared Task Website

Overview papers:

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


Participant papers:

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

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

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

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

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

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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

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

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

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

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

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

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Higway BERT for Passage Ranking
Di Zhao | Hui Fang

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

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TREC: Precision Medicine

Shared Task Website

Overview papers:

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


Participant papers:

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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

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

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

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

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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

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

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

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

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

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

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

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

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

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

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

Shared Task Website

Overview papers:

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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


Participant papers:

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

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

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

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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

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

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

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

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

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

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

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

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

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

Shared Task Website

Overview papers:

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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:

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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

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

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

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

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

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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

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

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

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

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

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

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

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

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

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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

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

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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

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

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

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

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IIT Varanasi at HASOC 2019: Hate Speech and Offensive Content Identification in Indo-European Languages
Akanksha Mishra | Sukomal Pal

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

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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

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

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

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CLEF: CheckThat! - Automatic Identification and Verification of Claims

Shared Task Website

Overview papers:

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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

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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:

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

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

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

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

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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

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

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Neural Weakly Supervised Fact Check-Worthiness Detection with Contrastive Sampling-Based Ranking Loss
Casper Hansen | Christian Hansen | Jakob Grue Simonsen | Christina Lioma

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

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

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

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

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

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CLEF: CLEF eHealth

Shared Task Website

Overview papers:

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

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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:

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

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

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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

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

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

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

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Automatic Thresholding by Sampling Documents and Estimating Recall
Dan Li | Evangelos Kanoulas

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

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CLEF: eRisk - Early Risk Prediction on the Internet

Shared Task Website

Overview papers:

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


Participant papers:

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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

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

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

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

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

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

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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

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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

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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

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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

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

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

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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

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

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CLEF: LifeCLEF - Biodiversity Identification and Prediction

Shared Task Website

Overview papers:

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

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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

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


Participant papers:

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

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

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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

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

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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

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Bird Species Identification in Soundscapes
Mario Lasseck

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

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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

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

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

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

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CLEF: ImageCLEF - Multimedia Retrieval in CLEF

Shared Task Website

Overview papers:

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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

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

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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

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

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

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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:

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

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

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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

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

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

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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

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

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Tlemcen University at ImageCLEF 2019 Visual Question Answering Task
Rabia Bounaama | Mohammed El Amine Abderrahim

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

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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

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

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

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

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ImageCLEF2019 Security - Forged File Discovery and Stego Image Discovery Tasks
Amilcare Gentili | Paolo Gentili

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

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

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

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

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

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

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

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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

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

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

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

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

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Image Steganalysis with Very Deep Convolutional Neural Networks
Naoya Mamada

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

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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

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

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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

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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

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

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

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

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

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

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

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

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

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

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

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

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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

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

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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

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

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

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

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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:

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

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

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Overview of the 7th Author Profiling Task at PAN 2019: Bots and Gender Profiling in Twitter
Francisco M. Rangel Pardo | Paolo Rosso

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


Participant papers:

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

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

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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

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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

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

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An Open-Vocabulary Approach to Authorship Attribution
Angelo Basile

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

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

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

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

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

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

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

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

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

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

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

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

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Using Hashtags and POS-Tags for Author Profiling
Flurin Gishamer

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

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

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

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

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

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

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

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

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

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

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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

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

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

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

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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

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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

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

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

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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

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

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Celebrity Profiling with Transfer Learning
Björn Pelzer

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

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

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Using N-grams to detect Bots on Twitter
Juan Pizarro

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

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

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Detecting Bot Accounts on Twitter by Measuring Message Predictability
Piotr Przybyla

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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

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

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

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

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Bots and Gender Classification on Twitter
Usman Saeed | Farid Shirazi

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

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

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Stacked Bots and Gender Prediction from Twitter Feeds
Todor Staykovski

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

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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

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

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Cross-Domain Authorship Attribution with Federales
Hans van Halteren

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

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