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Shared Tasks (2018)

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TREC: Common Core

Shared Task Website

Participant papers:

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H2oloo at TREC 2018: Cross-Collection Relevance Transfer for the Common Core Track
Ruifan Yu | Yuhao Xie | Jimmy Lin

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FEUP at TREC 2018 Common Core Track - Reranking for Diversity using Hypergraph-of-Entity and Document Profiling
José Luís Devezas | Sérgio Nunes | Antonio Guillén | Yoan Gutiérrez | Rafael Muñoz

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H2oloo at TREC 2018: Cross-Collection Relevance Transfer for the Common Core Track
Ruifan Yu | Yuhao Xie | Jimmy Lin

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Query Expansion Based on NLP and Word Embeddings
Billel Aklouche | Ibrahim Bounhas | Yahya Slimani

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MRG_UWaterloo Participation in the TREC 2018 Common Core Track
Maura R. Grossman | Gordon V. Cormack

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Improving Ad Hoc Retrieval With Bag Of Entities
Gustavo Gonçalves | João Magalhães | Chenyan Xiong | Jamie Callan

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RMIT at the 2018 TREC CORE Track
Rodger Benham | Luke Gallagher | Joel M. Mackenzie | Binsheng Liu | Xiaolu Lu | Falk Scholer | J. Shane Culpepper | Alistair Moffat

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UMass at TREC 2018: CAR, Common Core and News Tracks
Shahrzad Naseri | John Foley | James Allan

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UWaterlooMDS at the TREC 2018 Common Core Track
Mustafa Abualsaud | Gordon V. Cormack | Nimesh Ghelani | Amira Ghenai | Maura R. Grossman | Shahin Rahbariasl | Haotian Zhang | Mark D. Smucker

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Webis at TREC 2018: Common Core Track
Alexander Bondarenko | Matthias Hagen | Michael Völske | Benno Stein | Alexander Panchenko | Chris Biemann

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TREC: Precision Medicine

Shared Task Website

Overview papers:

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HPI-DHC at TREC 2018 Precision Medicine Track
Michel Oleynik | Erik Faessler | Ariane Morassi Sasso | Arpita Kappattanavar | Benjamin Bergner | Harry Freitas Da Cruz | Jan-Philipp Sachs | Suparno Datta | Erwin P. Böttinger

Participant papers:

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Brown University at TREC Precision Medicine 2018
Prakrit Baruah | Riya Dulepet | Kyle Qian | Carsten Eickhoff

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Team Cat-Garfield at TREC 2018 Precision Medicine Track
Xuesi Zhou | Xin Chen | Jian Song | Gang Zhao | Ji Wu

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CBNU at TREC 2018 Precision Medicine Track
Seung-Hyeon Jo | Won-Kyu Choi | Kyung-Soon Lee

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HPI-DHC at TREC 2018 Precision Medicine Track
Michel Oleynik | Erik Faessler | Ariane Morassi Sasso | Arpita Kappattanavar | Benjamin Bergner | Harry Freitas Da Cruz | Jan-Philipp Sachs | Suparno Datta | Erwin P. Böttinger

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TREC 2018 Precision Medicine - Medical University of Graz
Pablo López-García

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The University of Padua IMS Research Group at TREC 2018 Precision Medicine Track
Maristella Agosti | Giorgio Maria Di Nunzio | Stefano Marchesin

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InfoLabPM at TREC 2018 Precision Medicine Track
João Ferreira | Carla Teixeira Lopes

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KlickLabs at TREC 2018 Precision Medicine track
Lediona Nishani | Maheedhar Kolla | Gaurav Baruah

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MayoNLPTeam at the TREC 2018 Precision Medicine Track: Simple Information Retrieval Approach Is the Best
Yanshan Wang | Andrew Wen | Sijia Liu | Hongfang Liu

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Retrieving scientific abstracts iteratively: MedIER at TREC 2018 Precision Medicine Track
Jinghui Liu | Clair A. Kronk | Wu-Chen Su | Danny T. Y. Wu | V. G. Vinod Vydiswaran

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Learning to rank clinical trials with rule-based criteria
Gonçalo Araújo | André Mourão | João Magalhães

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IBI at TREC 2018: Precision Medicine Track
Francesco Ronzano | Emilio Centeno | Judith Pérez-Granado | Laura I. Furlong

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POZNAN Contribution to TREC PM 2018 (Notebook Paper)
Artur Cieslewicz | Jakub Dutkiewicz | Czeslaw Jedrzejek

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RSA DSc on TREC's 2018 Precision Medicine Track
Alexandros Bampoulidis | Mihai Lupu

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Filtering and reranking using MetaMap named entities recognizer
Pilar López-Úbeda | Manuel Carlos Díaz-Galiano | María Teresa Martín Valdivia | Luis Alfonso Ureña López

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UCAS at TREC-2018 Precision Medicine Track
Zhi Zheng | Canjia Li | Ben He | Jungang Xu

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Exploring post retrieval techniques for bio-medical domain retrieval
Yue Wang | Hui Fang

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UTD HLTRI at TREC 2018: Precision Medicine Track
Stuart J. Taylor | Sanda M. Harabagiu | Travis R. Goodwin

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Team UVA_ART at TREC 2018 Precision Medicine Track: Graph-based Concept Expansion and NLP for Document Relevance Boosting
Sean Mullane | Kasi Vegesana | Valentina Baljak

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FIRE: Information Extractor for Conversational Systems in Indian Languages (IECSIL)

Shared Task Website

Overview papers:

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Overview of Arnekt IECSIL at FIRE-2018 Track on Information Extraction for Conversational Systems in Indian Languages
Barathi Ganesh H. B. | Soman K. P | Reshma U | Mandar Kale | Prachi Mankame | Gouri Kulkarni | Anitha Kale | Anand Kumar M

Participant papers:

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CUSAT_TEAM@IECSIL-FIRE-2018: A Named Entity Recognition System for Indian Languages
Ajees A. P | Sumam Mary Idicula

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HiLT@IECSIL-FIRE-2018: A Named Entity Recognition System for Indian Languages
Sagar | Srinivas PYKL | Rusheel Koushik Gollakota | Amitava Das

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IIT(BHU)@IECSIL-FIRE2018: Language Independent Automatic Framework for Entity Extraction in Indian Languages
Akanksha Mishra | Rajesh Kumar Mundotiya | Sukomal Pal

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Khushleen@IECSIL-FIRE-2018: Indic Language Named Entity Recognition using Bidirectional LSTMs with Subword Information
Khushleen Kaur

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idrbt-team-a@IECSIL-FIRE-2018 Named Entity Recognition of Indian Languages using bi-LSTM
S. Nagesh Bhattu | N. Satya Krishna | Durvasula V. L. N. Somayajulu

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idrbt-team-a@IECSIL-FIRE-2018 : Relation Categorization for Social Media News Text
N. Satya Krishna | S. Nagesh Bhattu | Durvasula V. L. N. Somayajulu

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raiden11@IECSIL-FIRE-2018 : Named Entity Recognition for Indian Languages
Ayush Gupta | Meghna Ayyar | Ashutosh Kumar Singh | Rajiv Ratn Shah

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SSN_NLP@IECSIL-FIRE-2018: Deep Learning Approach to Named Entity Recognition and Relation Extraction for Conversational Systems in Indian Languages
D. Thenmozhi | Senthil Kumar | Chandrabose Aravindan

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FIRE: Event Extraction from Newswires and Social Media Text in Indian Languages (EventXtract-IL)

Shared Task Website

Overview papers:

Participant papers:

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A Neural Network based Event Extraction System for Indian Languages
Alapan Kuila | Sarath chandra Bussa | Sudeshna Sarkar

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Rule based Event Extraction System from Newswires and Social Media Text in Indian Languages (EventXtract-IL) for English and Hindi Data
Anita Saroj | Rajesh kumar Munodtiya | Sukomal Pal

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CLEF: LifeCLEF

Shared Task Website

Overview papers:

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Overview of GeoLifeCLEF 2018: Location-based Species Recommendation
Christophe Botella | Pierre Bonnet | François Munoz | Pascal Monestiez | Alexis Joly

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Overview of ExpertLifeCLEF 2018: how far Automated Identification Systems are from the Best Experts?
Hervé Goëau | Pierre Bonnet | Alexis Joly

Participant papers:

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Plant Identification with Deep Learning Ensembles
Sara Atito | Berrin A. Yanikoglu | Erchan Aptoula | Ipek Ganiyusufoglu | Aras Yildiz | Kerem Yildirir | Baris Sevilmis | Mehmet Umut Sen

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Location-based Species Recommendation using Co-occurrences and Environment- GeoLifeCLEF 2018 Challenge
Benjamin Deneu | Maximilien Servajean | Christophe Botella | Alexis Joly

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Large-Scale Plant Classification using Deep Convolutional Neural Networks
Josef Haupt | Stefan Kahl | Danny Kowerko | Maximilian Eibl

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A Baseline for Large-Scale Bird Species Identification in Field Recordings
Stefan Kahl | Thomas Wilhelm-Stein | Holger Klinck | Danny Kowerko | Maximilian Eibl

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Audio-based Bird Species Identification with Deep Convolutional Neural Networks
Mario Lasseck

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Machines vs. Human Experts: Contribution to the ExpertLifeCLEF 2018 Plant Identification Task
Mario Lasseck

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Convolutional Long Short-Term Memory Neural Networks for Hierarchical Species Prediction
Nithish B. Moudhgalya | S. Sharan Sundar | Siddharth Divi | Palaniappan Mirunalini | Chandrabose Aravindan | S. M. Jaisakthi

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Bird Sound Classification using a Bidirectional LSTM
Lukas Müller | Mario Marti

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Bird Identification from Timestamped, Geotagged Audio Recordings
Jan Schlüter

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Plant Recognition by Inception Networks with Test-time Class Prior Estimation
Milan Sulc | Lukás Picek | Jiri Matas

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Species Prediction based on Environmental Variables using Machine Learning Techniques
Stefan Taubert | Max Mauermann | Stefan Kahl | Danny Kowerko | Maximilian Eibl

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Construction and Improvements of Bird Songs' Classification System
Haiwei Wu | Ming Li

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CLEF: PAN Lab on Digital Text Forensics

Shared Task Website

Overview papers:

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Overview of the Author Obfuscation Task at PAN 2018: A New Approach to Measuring Safety
Martin Potthast | Felix Schremmer | Matthias Hagen | Benno Stein

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Overview of the 6th Author Profiling Task at PAN 2018: Multimodal Gender Identification in Twitter
Francisco M. Rangel Pardo | Paolo Rosso | Manuel Montes-y-Gómez | Martin Potthast | Benno Stein

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Overview of the Author Identification Task at PAN-2018: Cross-domain Authorship Attribution and Style Change Detection
Mike Kestemont | Michael Tschuggnall | Efstathios Stamatatos | Walter Daelemans | Günther Specht | Benno Stein | Martin Potthast

Participant papers:

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A Model for Style Breach Detection at a Glance: Notebook for PAN at CLEF 2018
Jamal Ahmad Khan

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A Straightforward Multimodal Approach for Author Profiling: Notebook for PAN at CLEF 2018
Mario Ezra Aragón | Adrián Pastor López-Monroy

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Multilingual Author Profiling using LSTMs: Notebook for PAN at CLEF 2018
Roy Khristopher Bayot | Teresa Gonçalves

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Stacked Gender Prediction from Tweet Texts and Images: Notebook for PAN at CLEF 2018
Giovanni Ciccone | Arthur Sultan | Léa Laporte | Elöd Egyed-Zsigmond | Alaa Alhamzeh | Michael Granitzer

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EACH-USP Ensemble Cross-domain Authorship Attribution: Notebook for PAN at CLEF 2018
José Eleandro Custódio | Ivandré Paraboni

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Gender Identification in Twitter using N-grams and LSA: Notebook for PAN at CLEF 2018
Saman Daneshvar | Diana Inkpen

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Word Unigram Weighing for Author Profiling at PAN 2018: Notebook for PAN at CLEF 2018
Pius von Däniken | Ralf Grubenmann | Mark Cieliebak

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Author Profiling using Word Embeddings with Subword Information: Notebook for PAN at CLEF 2018
Rafael Felipe Sandroni Dias | Ivandré Paraboni

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Authorship Attribution with Neural Networks and Multiple Features: Notebook for PAN at CLEF 2018
Lukasz Gagala

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A Big Data approach to gender classification in Twitter: Notebook for PAN at CLEF 2018
Òscar Garibo i Orts

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Cross-domain Authorship Attribution: Author Identification using Char Sequences, Word Uni-grams, and POS-tags Features: Notebook for PAN at CLEF 2018
Yaakov HaCohen-Kerner | Daniel Miller | Yair Yigal | Elyashiv Shayovitz

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Author Profiling: Gender Prediction from Tweets and Images: Notebook for PAN at CLEF 2018
Yaakov HaCohen-Kerner | Yair Yigal | Elyashiv Shayovitz | Daniel Miller | Toby P. Breckon

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Cross-Domain Authorship Attribution Based on Compression: Notebook for PAN at CLEF 2018
Oren Halvani | Lukas Graner

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A Parallel Hierarchical Attention Network for Style Change Detection: Notebook for PAN at CLEF 2018
Marjan Hosseinia | Arjun Mukherjee

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Authorship Profiling Without Using Topical Information: Notebook for PAN at CLEF 2018
Jussi Karlgren | Lewis Esposito | Chantal Gratton | Pentti Kanerva

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UniNE at CLEF 2018: Author Masking: Notebook for PAN at CLEF 2018
Mirco Kocher | Jacques Savoy

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Mixing Traditional Methods with Neural Networks for Gender Prediction: Notebook for PAN at CLEF 2018
Rick Kosse | Youri Schuur | Guido Cnossen

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Complexity Measures and POS n-grams for Author Identification in Several Languages: SINAI at PAN@CLEF 2018
Rocío López-Anguita | Arturo Montejo-Ráez | Manuel Carlos Díaz-Galiano

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Custom Document Embeddings Via the Centroids Method: Gender Classification in an Author Profiling Task: Notebook for PAN at CLEF 2018
Roberto López-Santillán | Luis Carlos González-Gurrola | Graciela Ramírez Alonso

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Multilingual Gender Classification with Multi-view Deep Learning: Notebook for PAN at CLEF 2018
Matej Martinc | Blaz Skrlj | Senja Pollak

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CIC-GIL Approach to Cross-domain Authorship Attribution: Notebook for PAN at CLEF 2018
Carolina Martín-Del-Campo-Rodríguez | Helena Gómez-Adorno | Grigori Sidorov | Ildar Z. Batyrshin

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Dynamic Parameter Search for Cross-Domain Authorship Attribution: Notebook for PAN at CLEF 2018
Benjamin Murauer | Michael Tschuggnall | Günther Specht

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Twitter Text and Image Gender Classification with a Logistic Regression N-Gram Model: Notebook for PAN at CLEF 2018
Moniek Nieuwenhuis | Jeroen Wilkens

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Multimodal Author Profiling for Twitter: Notebook for PAN at CLEF 2018
Braja Gopal Patra | Kumar Gourav Das | Dipankar Das

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Author Masking Directed by Author's Style: Notebook for PAN at CLEF 2018
Mostafa Rahgouy | Hamed Babaei Giglou | Taher Rahgooy | Hasan Zeynali | Salar Khayat Mirza Rasouli

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Multi-Language Neural Network Model with Advance Preprocessor for Gender Classification over Social Media: Notebook for PAN at CLEF 2018
Kashyap Raiyani | Teresa Gonçalves | Paulo Quaresma | Vítor Beires Nogueira

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Detecting a Change of Style using Text Statistics: Notebook for PAN at CLEF 2018
Kamil Safin | Aleksandr Ogaltsov

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Character-based Convolutional Neural Network and ResNet18 for Twitter Author Profiling: Notebook for PAN at CLEF 2018
Nils Schaetti

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Bidirectional Echo State Network-based Reservoir Computing for Cross-domain Authorship Attribution: Notebook for PAN at CLEF 2018
Nils Schaetti

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Gender Prediction From Tweets With Convolutional Neural Networks: Notebook for PAN at CLEF 2018
Erhan Sezerer | Ozan Polatbilek | Özge Sevgili | Selma Tekir

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Combining Textual and Visual Representations for Multimodal Author Profiling: Notebook for PAN at CLEF 2018
Sebastián Sierra | Fabio A. González

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Author Profiling based on Text and Images: Notebook for PAN at CLEF 2018
Luka Stout | Robert Musters | Chris Pool

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Text and Image Synergy with Feature Cross Technique for Gender Identification: Notebook for PAN at CLEF 2018
Takumi Takahashi | Takuji Tahara | Koki Nagatani | Yasuhide Miura | Tomoki Taniguchi | Tomoko Ohkuma

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Gender Identification through Multi-modal Tweet Analysis using MicroTC and Bag of Visual Words: Notebook for PAN at CLEF 2018
Eric Sadit Tellez | Sabino Miranda-Jiménez | Daniela Moctezuma | Mario Graff | Vladimir Salgado | José Ortiz-Bejar

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Using Translated Data to Improve Deep Learning Author Profiling Models: Notebook for PAN at CLEF 2018
Robert Veenhoven | Stan Snijders | Daniël van der Hall | Rik van Noord

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An Ensemble-Rich Multi-Aspect Approach Towards Robust Style Change Detection: Notebook for PAN at CLEF 2018
Dimitrina Zlatkova | Daniel Kopev | Kristiyan Mitov | Atanas Atanasov | Momchil Hardalov | Ivan Koychev | Preslav Nakov

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CLEF: CLEF eHealth

Shared Task Website

Overview papers:

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CLEF eHealth 2018 Multilingual Information Extraction Task Overview: ICD10 Coding of Death Certificates in French, Hungarian and Italian
Aurélie Névéol | Aude Robert | Francesco Grippo | Claire Morgand | Chiara Orsi | Laszlo Pelikan | Lionel Ramadier | Grégoire Rey | Pierre Zweigenbaum

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CLEF 2018 Technologically Assisted Reviews in Empirical Medicine Overview
Evangelos Kanoulas | Dan Li | Leif Azzopardi | René Spijker

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Overview of the CLEF 2018 Consumer Health Search Task
Jimmy | Guido Zuccon | João R. M. Palotti | Lorraine Goeuriot | Liadh Kelly

Participant papers:

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Retrieving and Ranking Studies for Systematic Reviews: University of Sheffield's Approach to CLEF eHealth 2018 Task 2
Amal Alharbi | William Briggs | Mark Stevenson

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MAMTRA-MED at CLEF eHealth 2018: A Combination of Information Retrieval Techniques and Neural Networks for ICD-10 Coding of Death Certificates
Mario Almagro | Soto Montalvo | Arantza Díaz de Ilarraza | Alicia Pérez

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IxaMed at CLEF eHealth 2018 Task 1: ICD10 Coding with a Sequence-to-Sequence Approach
Aitziber Atutxa | Arantza Casillas | Nerea Ezeiza | Víctor Fresno | Iakes Goenaga | Koldo Gojenola | Raquel Martínez | Maite Oronoz Anchordoqui | Olatz Perez-de-Viñaspre

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Tlemcen University at CELF eHealth 2018 Team Techno: Multilingual Information Extraction - ICD10 coding
Rabia Bounaama | Mohammed El Amine Abderrahim

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OHSU CLEF 2018 Task 2 Diagnostic Test Accuracy Ranking using Publication Type Cluster Similarity Measures
Aaron M. Cohen | Neil R. Smalheiser

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Technology-Assisted Review in Empirical Medicine: Waterloo Participation in CLEF eHealth 2018
Gordon V. Cormack | Maura R. Grossman

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IAM at CLEF eHealth 2018 : Concept Annotation and Coding in French Death Certificates
Sébastien Cossin | Vianney Jouhet | Fleur Mougin | Gayo Diallo | Frantz Thiessard

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Classification of ICD10 Codes with no Resources but Reproducible Code. IMS Unipd at CLEF eHealth Task 1
Giorgio Maria Di Nunzio

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Interactive Sampling for Systematic Reviews. IMS Unipd At CLEF 2018 eHealth Task 2
Giorgio Maria Di Nunzio | Giacomo Ciuffreda | Federica Vezzani

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SINAI at CLEF eHealth 2018 Task 3. Using cTAKES to Remove Noise from Expanding Queries with Google
Manuel Carlos Díaz-Galiano | Pilar López-Úbeda | María Teresa Martín-Valdivia | Luis Alfonso Ureña López

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ECSTRA-APHP @ CLEF eHealth2018-task 1: ICD10 Code Extraction from Death Certificates
Rémi Flicoteaux

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Instance-based Learning for ICD10 Categorization
Julien Gobeill | Patrick Ruch

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KCL-Health-NLP@CLEF eHealth 2018 Task 1: ICD-10 Coding of French and Italian Death Certificates with Character-Level Convolutional Neural Networks
Julia Ive | Natalia Viani | David Chandran | André Bittar | Sumithra Velupillai

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Toronto CL CLEF 2018 eHealth Task 1: Multi-lingual ICD-10 Coding using an Ensemble of Recurrent and Convolutional Neural Networks
Serena Jeblee | Akshay Budhkar | Sasa Milic | Jeff Pinto | Chloé Pou-Prom | Krishnapriya Vishnubhotla | Graeme Hirst | Frank Rudzicz

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QUT IElab at CLEF 2018 Consumer Health Search Task: Knowledge Base Retrieval for Consumer Health Search
Jimmy | Guido Zuccon | Bevan Koopman

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ECNU at 2018 eHealth Task1 Multilingual Information Extraction
Mengting Li | Cong Xu | Tingyu Wei | Dongyang Bao | Ningjie Lu | Jing Yang

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Machine Learning to Detect ICD10 Codes in Causes of Death
Pilar López-Úbeda | Manuel Carlos Díaz-Galiano | María Teresa Martín-Valdivia | Luis Alfonso Ureña López

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Aristotle University's Approach to the Technologically Assisted Reviews in Empirical Medicine Task of the 2018 CLEF eHealth Lab
Adamantios Minas | Athanasios Lagopoulos | Grigorios Tsoumakas

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Merging Search Results Generated by Multiple Query Variants Using Data Fusion
Nkwebi Peace Motlogelwa | Edwin Thuma | Tebo Leburu-Dingalo

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LIMSI@CLEF eHealth 2018 Task 2: Technology Assisted Reviews by Stacking Active and Static Learning
Christopher R. Norman | Mariska M. G. Leeflang | Aurélie Névéol

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SITIS-ISPED in CLEF eHealth 2018 Task 1 : ICD10 coding using Deep Learning
Kévin Réby | Sébastien Cossin | Georgeta Bordea | Gayo Diallo

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CUNI team: CLEF eHealth Consumer Health Search Task 2018
Shadi Saleh | Pavel Pecina

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WBI at CLEF eHealth 2018 Task 1: Language-independent ICD-10 Coding using Multi-lingual Embeddings and Recurrent Neural Networks
Jurica Seva | Mario Sänger | Ulf Leser

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ECNU at 2018 eHealth Task 2: Technologically Assisted Reviews in Empirical Medicine
Huaying Wu | Tingting Wang | Jiayi Chen | Su Chen | Qinmin Hu | Liang He

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Improving Personalized Consumer Health Search: Notebook for eHealth at CLEF 2018
Hua Yang | Teresa Gonçalves

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Miracl at CLEF 2018 : Consumer Health Search Task
Siwar Zayani | Nesrine Ksentini | Mohamed Tmar | Faïez Gargouri

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CLEF: MC2 - Multilingual Cultural Mining and Retrieval

Shared Task Website

Overview papers:

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CLEF MC2 2018 Lab Technical Overview of Cross Language Microblog Search and Argumentative Mining
Jean-Valère Cossu | Julio Gonzalo | Malek Hajjem | Olivier Hamon | Chiraz Latiri | Eric SanJuan

Participant papers:

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Monolingual and Cross-lingual Information Retrieval in Cultural Microblog at CLEF 2018
Chedi Bechikh Ali | Hatem Haddad

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ERTIM@MC2: Diversified Argumentative Tweets Retrieval
Kévin Deturck | Damien Nouvel | Frédérique Segond

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LIA@CLEF 2018: Mining Events Opinion Argumentation from Raw Unlabeled Twitter Data using Convolutional Neural Network
Richard Dufour | Mickael Rouvier | Alexandre Delorme | Damien Malinas

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Opinion Argumentation based on Combined Information Retrieval and Topic Modeling
Seif Sendi | Chiraz Latiri

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ECNU at MC2 2018 Task 2: Mining Opinion Argumentation
Jie Zhou | Qi Zhang | Qinmin Hu | Liang He

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CLEF: ImageCLEF - Multimedia Retrieval in CLEF

Shared Task Website

Overview papers:

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An Interactive Lifelog Retrieval System for Activities of Daily Living Understanding
Liting Zhou | Luca Piras | Michael Riegler | Mathias Lux | Duc-Tien Dang-Nguyen | Cathal Gurrin

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Overview of the ImageCLEF 2018 Caption Prediction Tasks
Alba Garcia Seco de Herrera | Carsten Eickhoff | Vincent Andrearczyk | Henning Müller

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Overview of ImageCLEFtuberculosis 2018 - Detecting Multi-Drug Resistance, Classifying Tuberculosis Types and Assessing Severity Scores
Yashin Dicente Cid | Vitali Liauchuk | Vassili Kovalev | Henning Müller

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Overview of ImageCLEF 2018 Medical Domain Visual Question Answering Task
Sadid A. Hasan | Yuan Ling | Oladimeji Farri | Joey Liu | Henning Müller | Matthew P. Lungren

Participant papers:

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Texture Analysis from 3D Model and Individual Slice Extraction for Tuberculosis MDR Detection, Type Classification and Severity Scoring
Md Sajib Ahmed | Sk Md Obaidullah | Mohan L. Jayatilake | Teresa Gonçalves | Luís Miguel Rato

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Deep Neural Networks and Decision Tree Classifier for Visual Question Answering in the Medical Domain
Imane Allaouzi | Mohamed Ben Ahmed

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A 3D-CNN and SVM for Multi-Drug Resistance Detection
Imane Allaouzi | Mohamed Ben Ahmed

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NLM at ImageCLEF 2018 Visual Question Answering in the Medical Domain
Asma Ben Abacha | Soumya Gayen | Jason J. Lau | Sivaramakrishnan Rajaraman | Dina Demner-Fushman

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Regim Lab Team at ImageCLEF Lifelog Moment Retrieval Task 2018
Fatma Ben Abdallah | Ghada Feki | Mohamed Ezzarka | Anis Ben Ammar | Chokri Ben Amar

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Feature-Based Approach for Severity Scoring of Lung Tuberculosis from CT Images
Kirill Bogomasov | Ludmila Himmelspach | Gerhard Klassen | Martha Tatusch | Stefan Conrad

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Leveraging Content and Context in Understanding Activities of Daily Living
Minh-Son Dao | Asem Kasem | Mohamed Saleem Haja Nazmudeen

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Texture-based Graph Model of the Lungs for Drug Resistance Detection, Tuberculosis Type Classification, and Severity Scoring: Participation in ImageCLEF 2018 Tuberculosis Task
Yashin Dicente Cid | Henning Müller

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Multimedia Lab @ ImageCLEF 2018 Lifelog Moment Retrieval Task
Mihai Dogariu | Bogdan Ionescu

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Analysing TB Severity Levels with an Enhanced Deep re-sidual Learning - Depth-Resnet
Xiaohong W. Gao | Carl James-Reynolds | Edward Currie

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ImageCLEF2018: Transfer Learning for Deep Learning with CNN for Tuberculosis Classification
Amilcare Gentili

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ImageCLEF 2018: Semantic Descriptors for Tuberculosis CT Image Classification
Abdelkader Hamadi | Djamel Eddine Yagoub

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ImageCLEF 2018 Tuberculosis Task: Ensemble of 3D CNNs with Multiple Inputs for Tuberculosis Type Classification
Adam Ishay | Oge Marques

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Retrieving Events in Life Logging
Ergina Kavallieratou | Carlos R. del-Blanco | Carlos Cuevas | Narciso García

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ImageCLEF 2018: Lesion-based TB-descriptor for CT Image Analysis
Vitali Liauchuk | Aleh Tarasau | Eduard Snezhko | Vassili Kovalev | Andrei E. Gabrielian | Alex Rosenthal

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Tuberculosis Detection using Optical Flow and the Activity Description Vector
Fernando Llopis Pascual | Jorge Azorín López | Juan Ramón Rico-Juan | Andrés Fuster Guilló | Irene Llopis

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UMass at ImageCLEF Medical Visual Question Answering(Med-VQA) 2018 Task
Yalei Peng | Feifan Liu

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Feature Learning with Adversarial Networks for Concept Detection in Medical Images: UA.PT Bioinformatics at ImageCLEF 2018
Eduardo Pinho | Carlos Costa

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A Cross Modal Deep Learning Based Approach for Caption Prediction and Concept Detection by CS Morgan State
Mahmudur Rahman

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Generating Text from Images in a Smooth Representation Space
Graham Spinks | Marie-Francine Moens

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UMass at ImageCLEF Caption Prediction 2018 Task
Yupeng Su | Feifan Liu | Max P. Rosen

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JUST at VQA-Med: A VGG-Seq2Seq Model
Bashar Talafha | Mahmoud Al-Ayyoub

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Visual Concept Selection with Textual Knowledge for Understanding Activities of Daily Living and Life Moment Retrieval
Tsun-Hsien Tang | Min-Huan Fu | Hen-Hsen Huang | Kuan-Ta Chen | Hsin-Hsi Chen

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Detection of Multidrug-resistant Tuberculosis using Convolutional Neural Networks and Decision Trees
Martha Tatusch | Stefan Conrad

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Lifelog Moment Retrieval with Visual Concept Fusion and Text-based Query Expansion
Minh-Triet Tran | Thanh-Dat Truong | Tung Dinh Duy | Viet-Khoa Vo-Ho | Quoc-An Luong | Vinh-Tiep Nguyen

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IPL at ImageCLEF 2018: A kNN-based Concept Detection Approach
Leonidas Valavanis | Theodore Kalamboukis

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ImageSem at ImageCLEF 2018 Caption Task: Image Retrieval and Transfer Learning
Xuwen Wang | Yu Zhang | Zhen Guo | Jiao Li

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An Interactive Lifelog Retrieval System for Activities of Daily Living Understanding
Liting Zhou | Luca Piras | Michael Riegler | Mathias Lux | Duc-Tien Dang-Nguyen | Cathal Gurrin

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Employing Inception-Resnet-v2 and Bi-LSTM for Medical Domain Visual Question Answering
Yangyang Zhou | Xin Kang | Fuji Ren

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CLEF: PIR-CLEF - Evaluation of Personalised Information Retrieval

Shared Task Website

Overview papers:

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Overview of the CLEF 2018 Personalised Information Retrieval Lab (PIR-CLEF 2018)
Gabriella Pasi | Gareth J. F. Jones | Keith Curtis | Stefania Marrara | Camilla Sanvitto | Debasis Ganguly | Procheta Sen

Participant papers:

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PIR Based in Explicit and Implicit Feedback
Alberto Andreu-Marín | Fernando Javier Martínez Santiago | Luis Alfonso Ureña López | Manuel Carlos Díaz-Galiano

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ECNU at CLEF PIR 2018 : Evaluation of Personalized Information Retrieval
Qingchun Bai | Qi Zhang | Qinmin Hu | Liang He

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CLEF: Early Risk Prediction on the Internet

Shared Task Website

Overview papers:

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

Participant papers:

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Analysis and Experiments on Early Detection of Depression
Fidel Cacheda | Diego Fernández Iglesias | Francisco Javier Nóvoa | Victor Carneiro

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UNSL's participation at eRisk 2018 Lab
Dario G. Funez | Maria José Garciarena Ucelay | Maria Paula Villegas | Sergio Burdisso | Leticia C. Cagnina | Manuel Montes-y-Gómez | Marcelo Errecalde

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TUA1 at eRisk 2018
Ning Liu | Zheng Zhou | Kang Xin | Fuji Ren

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Using Topic Extraction on Social Media Content for the Early Detection of Depression
Diego Maupomé | Marie-Jean Meurs

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PEIMEX at eRisk2018: Emphasizing Personal Information for Depression and Anorexia Detection
Rosa María Ortega-Mendoza | Adrián Pastor López-Monroy | Anilu Franco-Arcega | Manuel Montes-y-Gómez

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Early Detection of Signs of Anorexia and Depression Over Social Media using Effective Machine Learning Frameworks
Sayanta Paul | Sree Kalyani Jandhyala | Tanmay Basu

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Temporal Mood Variation: at the CLEF eRisk-2018 Tasks for Early Risk Detection on The Internet
Waleed Ragheb | Bilel Moulahi | Jérôme Azé | Sandra Bringay | Maximilien Servajean

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IRIT at e-Risk 2018
Faneva Ramiandrisoa | Josiane Mothe | Farah Benamara | Véronique Moriceau

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UPF's Participation at the CLEF eRisk 2018: Early Risk Prediction on the Internet
Diana Ramírez-Cifuentes | Ana Freire

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Word Embeddings and Linguistic Metadata at the CLEF 2018 Tasks for Early Detection of Depression and Anorexia
Marcel Trotzek | Sven Koitka | Christoph M. Friedrich

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A Neural Network Approach to Early Risk Detection of Depression and Anorexia on Social Media Text
Yu-Tseng Wang | Hen-Hsen Huang | Hsin-Hsi Chen

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CLEF: Checkthat - Automatic Identification and Verification of Political Claims

Shared Task Website

Overview papers:

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Overview of the CLEF-2018 CheckThat! Lab on Automatic Identification and Verification of Political Claims. Task 1: Check-Worthiness
Pepa Atanasova | Lluís Màrquez | Alberto Barrón-Cedeño | Tamer Elsayed | Reem Suwaileh | Wajdi Zaghouani | Spas Kyuchukov | Giovanni Da San Martino | Preslav Nakov

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Overview of the CLEF-2018 CheckThat! Lab on Automatic Identification and Verification of Political Claims. Task 2: Factuality
Alberto Barrón-Cedeño | Tamer Elsayed | Reem Suwaileh | Lluís Màrquez | Pepa Atanasova | Wajdi Zaghouani | Spas Kyuchukov | Giovanni Da San Martino | Preslav Nakov

Participant papers:

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IRIT at CheckThat! 2018
Romain Agez | Clément Bosc | Cédric Lespagnol | Noémie Petitcol | Josiane Mothe

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UPV-INAOE - Check That: Preliminary Approach for Checking Worthiness of Claims
Bilal Ghanem | Manuel Montes-y-Gómez | Francisco M. Rangel Pardo | Paolo Rosso

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The Copenhagen Team Participation in the Check-Worthiness Task of the Competition of Automatic Identification and Verification of Claims in Political Debates of the CLEF-2018 CheckThat! Lab
Casper Hansen | Christian Hansen | Jakob Grue Simonsen | Christina Lioma

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Check It Out : Politics and Neural Networks
Yash Kumar Lal | Dhruv Khattar | Vaibhav Kumar | Abhimanshu Mishra | Vasudeva Varma

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The Copenhagen Team Participation in the Factuality Task of the Competition of Automatic Identification and Verification of Claims in Political Debates of the CLEF-2018 Fact Checking Lab
Dongsheng Wang | Jakob Grue Simonsen | Birger Larsen | Christina Lioma

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bigIR at CLEF 2018: Detection and Verification of Check-Worthy Political Claims
Khaled Yasser | Mücahid Kutlu | Tamer Elsayed

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A Hybrid Recognition System for Check-worthy Claims Using Heuristics and Supervised Learning
Chaoyuan Zuo | Ayla Karakas | Ritwik Banerjee