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Shared Tasks (2016)


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TREC: Clinical Decision Support

Shared Task Website

Overview papers:

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NLM NIH at TREC 2016 Clinical Decision Support Track
Asma Ben Abacha


Participant papers:

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CBNU at TREC 2016 Clinical Decision Support Track
Seung-Hyeon Jo | Kyung-Soon Lee

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CCNU at TREC 2016 Clinical Decision Support Track
Yue Zhang | Po Hu | Fanghong Jian

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CSIRO at TREC Clinical Decision Support Track
Sarvnaz Karimi | Sara Falamaki | Vincent Nguyen

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Team DA IICT at Clinical Decision Support Track in TREC 2016: Topic Modeling for Query Expansion
Jainisha Sankhavara | Prasenjit Majumder

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Augmenting Medical Queries with UMLS Concepts via MetaMap
Christopher Agrafiotes | Avi Arampatzis

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ECNU at TREC 2016: Web-based query expansion and experts diagnosis in Medical Information Retrieval
Hongyu Liu | Yang Song | Yun He | Yueyao Wang | Qinmin Hu | Liang He

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ETH Zurich at TREC Clinical Decision Support 2016
Simon Greuter | Philip Junker | Lorenz Kuhn | Felix Mance | Virgile Mermet | Angela Rellstab | Carsten Eickhoff

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Literature based Clinical Decision Support: Searching Articles According to Medical Needs
Baoli Li | Jikang Xiao | Shigen Jiang | Zhen Wang | Haoqi Ding | Yaojun Niu

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PUT Contribution to TREC CDS 2016
Jakub Dutkiewicz | Czeslaw Jedrzejek | Michal Frackowiak | Pawel Werda

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Query Expansion with Automatically Predicted Diagnosis: iRiS at TREC CDS track 2016
Danchen Zhang | Daqing He | Sanqiang Zhao | Lei Li

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An Ensemble Model of Clinical Information Extraction and Information Retrieval for Clinical Decision Support
Yanshan Wang | Majid Rastegar-Mojarad | Ravikumar Komandur Elayavilli | Sijia Liu | Hongfang Liu

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Semi-Supervised Information Retrieval System for Clinical Decision Support
Harsha Gurulingappa | Luca Toldo | Claudia Schepers | Alexander Bauer | Gerard Megaro

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Evaluation of a Machine Learning Method to Rank PubMed Central Articles For Clinical Relevancy: NCH at TREC 2016 Clinical Decision Support Track
Wei Chen | Soheil Moosavinasab | Steve Rust | Yungui Huang | Simon M. Lin | Anna Zemke | Ariana Prinzbach

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NKU at TREC 2016: Clinical Decision Support Track
Hualong Zhang | Liting Liu

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NLM NIH at TREC 2016 Clinical Decision Support Track
Asma Ben Abacha

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Clinical Question Answering using Key-Value Memory Networks and Knowledge Graph
Sadid A. Hasan | Siyuan Zhao | Vivek V. Datla | Joey Liu | Kathy Lee | Ashequl Qadir | Aaditya Prakash | Oladimeji Farri

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Siena's Clinical Decision Assistant with Machine Learning
Brendan Kish | Thomas Walsh | Katherine Small | Steven Gassert | Kylie Small | Sharon Gower Small

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Extracting Useful Information from Clinical Notes
Yue Wang | Hui Fang

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UNT Medical Information Retrieval at TREC 2016
Lokesh Kumar Viswavarapu | Jiangping Chen | Ana D. Cleveland | Jodi Philbrick

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WHUIRGroup at TREC 2016 Clinical Decision Support Task
Ruixue Wang | Heng Ding | Wei Lu

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TREC: Contextual Suggestion

Shared Task Website

Overview papers:

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Overview of the TREC 2016 Contextual Suggestion Track
Seyyed Hadi Hashemi | Jaap Kamps | Julia Kiseleva | Charles L. A. Clarke | Ellen M. Voorhees


Participant papers:

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ADAPT_TCD: An Ontology-Based Context Aware Approach for Contextual Suggestion
Mostafa Bayomi | Séamus Lawless

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Beijing University of Posts and Telecommunications(BUPT) at TREC 2016: A Rating Model Based on Tags for ABSTRACT Contextual Suggestion
Danping Yin | Siyuan Gao | Zonghui Peng | Yameng Li | Ruifang Liu

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Employing open-web for Contextual Suggestion using tag-tag similarity
Sainyam Kapoor | Manajit Chakraborty | C. Ravindranath Chowdary

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Recommending Points-of-Interest via Weighted kNN, Rated Rocchio, and Borda Count Fusion
Georgios Kalamatianos | Avi Arampatzis

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Significant Words Language Models for Contextual Suggestion
Mostafa Dehghani | Jaap Kamps | Hosein Azarbonyad | Maarten Marx

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A Context Based Recommender System through Collaborative Filtering and Word Embedding Techniques
Mahsa Khorasani | Hamid Sadjadi | Faezeh Ramazani | Faezeh Ensan

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Word embeddings and Global Preference for Contextual Suggestion
Jian Mo | Luc Lamontagne | Richard Khoury

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Neural Endorsement Based Contextual Suggestion
Seyyed Hadi Hashemi | Jaap Kamps | Nawal Ould Amer

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University of Glasgow Terrier Team at TREC 2016: Experiments in Contextual Suggestions
Jarana Manotumruksa | Craig MacDonald | Iadh Ounis

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Venue Appropriateness Prediction for Contextual Suggestion
Mohammad Aliannejadi | Ida Mele | Fabio Crestani

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CLEF: CLEFeHealth

Shared Task Website

Participant papers:

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Overview of the CLEF eHealth Evaluation Lab 2016
Liadh Kelly | Lorraine Goeuriot | Hanna Suominen | Aurélie Névéol | João R. M. Palotti | Guido Zuccon

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Overview of the CLEF eHealth Evaluation Lab 2016
Liadh Kelly | Lorraine Goeuriot | Hanna Suominen | Aurélie Névéol | João R. M. Palotti | Guido Zuccon

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Clinical Information Extraction at the CLEF eHealth Evaluation lab 2016
Aurélie Névéol | Kevin Bretonnel Cohen | Cyril Grouin | Thierry Hamon | Thomas Lavergne | Liadh Kelly | Lorraine Goeuriot | Grégoire Rey | Aude Robert | Xavier Tannier | Pierre Zweigenbaum

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Comparison of Several Word embedding Sources for Medical Information Retrieval
Julie Budaher | Mohannad Almasri | Lorraine Goeuriot

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SIBM at CLEF eHealth Evaluation Lab 2016: Extracting Concepts in French Medical Texts with ECMT and CIMIND
Chloé Cabot | Lina Fatima Soualmia | Badisse Dahamna | Stéfan Jacques Darmoni

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ECSTRA-INSERM @ CLEF eHealth2016-task 2: ICD10 Code Extraction from Death Certificates
Mohamed Dermouche | Vincent Looten | Rémi Flicoteaux | Sylvie Chevret | Julien Velcin | Namik Taright

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Wrappers for Feature Subset Selection in CRF-based Clinical Information Extraction
Mike Ebersbach | Robert Herms | Christina Lohr | Maximilian Eibl

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LITL at CLEF eHealth2016: recognizing Entities in French Biomedical Documents
Lydia-Mai Ho-Dac | Ludovic Tanguy | Céline Grauby | Nkauj Hnub Aurore Heu Mby | Justine Malosse | Laura Rivière | Amélie Veltz-Mauclair | Marine Wauquier

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BiTeM at CLEF eHealth Evaluation Lab 2016 Task 2: Multilingual Information Extraction
Luc Mottin | Julien Gobeill | Anaïs Mottaz | Emilie Pasche | Arnaud Gaudinat | Patrick Ruch

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KISTI at CLEF eHealth 2016 Task 3: Ranking Medical Documents using Word Vectors
Heung-Seon Oh | Yuchul Jung

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Distributional Semantics for Medical Information Extraction
Lautaro Quiroz | Lydia Mennes | Mostafa Dehghani | Evangelos Kanoulas

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Task3 Patient-Centred Information Retrieval: Team CUNI
Shadi Saleh | Pavel Pecina

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The Effectiveness of Query Expansion when searching for Health related Content: InfoLab at CLEF eHealth 2016
Ricardo Silva | Carla Teixeira Lopes

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Team GU-IRLAB at CLEF eHealth 2016: Task 3
Luca Soldaini | Will Edman | Nazli Goharian

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ECNU at 2016 eHealth Task 1: Handover Information Extraction
Yang Song | Yun He | Hongyu Liu | Qinmin Hu | Liang He | Yueyao Wang

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ECNU at 2016 eHealth Task 3: Patient-centred Information Retrieval
Yang Song | Yun He | Hongyu Liu | Yueyao Wang | Qinmin Hu | Liang He

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Task 3: Patient-Centered Information Retrieval, IRTask 1: ad-hoc search - TEAM ub-botswana
Edwin Thuma | Nkwebi Peace Motlogelwa | Tebo Leburu-Dingalo

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KDEIR at CLEF eHealth 2016: Health Documents Re-ranking Based on Query Variations
Md Zia Ullah | Masaki Aono

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Erasmus MC at CLEF eHealth 2016: Concept Recognition and Coding in French Texts
Erik M. van Mulligen | Zubair Afzal | Saber A. Akhondi | Dang Vo | Jan A. Kors

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Semantic Tagging and Normalization of French Medical Entities
Jorge Vivaldi | Horacio Rodríguez | Viviana Cotik

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WHUIRGroup at the CLEF 2016 eHealth Lab Task 3
Ruixue Wang | Wei Lu | Ke Ren

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MayoNLPTeam at the 2016 CLEF eHealth Information Retrieval Task 1
Yanshan Wang | Stephen T. Wu | Hongfang Liu

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LIMSI ICD10 coding Experiments on CépiDC Death Certificate Statements
Pierre Zweigenbaum | Thomas Lavergne

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CLEF: ImageCLEF

Shared Task Website

Overview papers:

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Overview of the ImageCLEF 2016 Medical Task
Alba Garcia Seco de Herrera | Roger Schaer | Stefano Bromuri | Henning Müller

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Overview of the ImageCLEF 2016 Handwritten Scanned Document Retrieval Task
Mauricio Villegas | Joan Puigcerver | Alejandro H. Toselli | Joan-Andreu Sánchez | Enrique Vidal

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Overview of the ImageCLEF 2016 Scalable Concept Image Annotation Task
Andrew Gilbert | Luca Piras | Josiah Wang | Fei Yan | Arnau Ramisa | Emmanuel Dellandréa | Robert J. Gaizauskas | Mauricio Villegas | Krystian Mikolajczyk


Participant papers:

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DUTh at the ImageCLEF 2016 Image Annotation Task: Content Selection
Georgios Barlas | Maria Ntonti | Avi Arampatzis

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Using Machine Learning Techniques, Textual and Visual Processing in Scalable Concept Image Annotation Challenge
Alexandru Cristea | Adrian Iftene

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UAEMex at ImageCLEF 2016: Handwritten Retrieval
Miguel Ángel García Calderón | René Arnulfo García-Hernández | Yulia Ledeneva

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Traditional Feature Engineering and Deep Learning Approaches at Medical Classification Task of ImageCLEF 2016
Sven Koitka | Christoph M. Friedrich

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Subfigure and Multi-Label Classification using a Fine-Tuned Convolutional Neural Network
Ashnil Kumar | David Lyndon | Jinman Kim | David Feng

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Image Annotation and Two Paths to Text Illustration
Hervé Le Borgne | Etienne Gadeski | Ines Chami | Thi Quynh Nhi Tran | Youssef Tamaazousti | Alexandru-Lucian Gînsca | Adrian Popescu

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UDEL CIS Working Notes in ImageCLEF 2016
Pengyuan Li | Scott Sorensen | Abhishek Kolagunda | Xiangying Jiang | Xiaolong Wang | Chandra Kambhamettu | Hagit Shatkay

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Overview of the ImageCLEF 2016 Handwritten Scanned Document Retrieval Task
Mauricio Villegas | Joan Puigcerver | Alejandro H. Toselli | Joan-Andreu Sánchez | Enrique Vidal

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INAOE's participation at ImageCLEF 2016: Text Illustration Task
Luis Pellegrin | Adrián Pastor López-Monroy | Hugo Jair Escalante | Manuel Montes-y-Gómez

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MRIM-LIG at ImageCLEF 2016 Scalable Concept Image Annotation Task
Maxime Portaz | Mateusz Budnik | Philippe Mulhem | Johann Poignant

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CNRS TELECOM ParisTech at ImageCLEF 2016 Scalable Concept Image Annotation Task: Overcoming the Scarcity of Training Data
Hichem Sahbi

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NovaSearch at ImageCLEFmed 2016 Subfigure Classification Task
David Semedo | João Magalhães

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CITlab ARGUS for Keyword Search in Historical Handwritten Documents - Description of CITlab's System for the ImageCLEF 2016 Handwritten Scanned Document Retrieval Task
Tobias Strauß | Tobias Grüning | Gundram Leifert | Roger Labahn

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IPL at CLEF 2016 Medical Task
Leonidas Valavanis | Spyridon Stathopoulos | Theodore Kalamboukis

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Joint Learning of CNN and LSTM for Image Captioning
Yongqing Zhu | Xiangyang Li | Xue Li | Jian Sun | Xinhang Song | Shuqiang Jiang

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CLEF: LifeCLEF

Shared Task Website

Participant papers:

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Plant Identification in an Open-world (LifeCLEF 2016)
Hervé Goëau | Pierre Bonnet | Alexis Joly

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LifeCLEF Bird Identification Task 2016: The arrival of Deep learning
Hervé Goëau | Hervé Glotin | Willem-Pier Vellinga | Robert Planqué | Alexis Joly

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Floristic participation at LifeCLEF 2016 Plant Identification Task
Julien Champ | Hervé Goëau | Alexis Joly

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Bluefield (KDE TUT) at LifeCLEF 2016 Plant Identification Task
Siang Thye Hang | Atsushi Tatsuma | Masaki Aono

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Unsupervised Individual Whales Identification: Spot the Difference in the Ocean
Alexis Joly | Jean-Christophe Lombardo | Julien Champ | Anjara Saloma

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SeaCLEF 2016: Object Proposal Classification for Fish Detection in Underwater Videos
Jonas Jäger | Erik Rodner | Joachim Denzler | Viviane Wolff | Klaus Fricke-Neuderth

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Improving Bird Identification using Multiresolution Template Matching and Feature Selection during Training
Mario Lasseck

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Plant Identification System based on a Convolutional Neural Network for the LifeClef 2016 Plant Classification Task
Sue Han Lee | Yang Loong Chang | Chee Seng Chan | Paolo Remagnino

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Feature Learning via Mixtures of DCNNs for Fine-Grained Plant Classification
Chris McCool | ZongYuan Ge | Peter I. Corke

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Open-set Plant Identification Using an Ensemble of Deep Convolutional Neural Networks
Mostafa Mehdipour-Ghazi | Berrin A. Yanikoglu | Erchan Aptoula

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Object Detection, Classification, Tracking and individual Recognition for Sea Images and Videos
Dávid Papp | Dániel Lovas | Gábor Szücs

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Recognizing Bird Species in Audio Recordings using Deep Convolutional Neural Networks
Karol J. Piczak

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Bag of MFCC-based Words for Bird Identification
Julien Ricard | Hervé Glotin

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Audio Based Bird Species Identification using Deep Learning Techniques
Elias Sprengel | Martin Jaggi | Yannic Kilcher | Thomas Hofmann

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Convolutional Neural Networks for Large-Scale Bird Song Classification in Noisy Environment
Bálint Pál Tóth | Bálint Czeba

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Deep Learning and SVM Classification for Plant Recognition in Content-Based Large Scale Image Retrieval
Bálint Pál Tóth | Márton József Tóth | Dávid Papp | Gábor Szücs

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Very Deep Residual Networks with MaxOut for Plant Identification in the Wild
Milan Sulc | Dmytro Mishkin | Jiri Matas

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CLEF: Digital Text Forensics (PAN)

Shared Task Website

Overview papers:

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Overview of the 4th Author Profiling Task at PAN 2016: Cross-Genre Evaluations
Francisco Manuel Rangel Pardo | Paolo Rosso | Ben Verhoeven | Walter Daelemans | Martin Potthast | Benno Stein


Participant papers:

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Clustering by Authorship Within and Across Documents
Efstathios Stamatatos | Michael Tschuggnall | Ben Verhoeven | Walter Daelemans | Günther Specht | Benno Stein | Martin Potthast

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Author Obfuscation: Attacking the State of the Art in Authorship Verification
Martin Potthast | Matthias Hagen | Benno Stein

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Age and Gender Identification using Stacking for Classification
Madhulika Agrawal | Teresa Gonçalves

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Authorship Clustering using Multi-headed Recurrent Neural Networks
Douglas Bagnall

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Author Profiling Using Support Vector Machines
Rodwan Bakkar Deyab | José Duarte | Teresa Gonçalves

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Author Profiling using SVMs and Word Embedding Averages
Roy Khristopher Bayot | Teresa Gonçalves

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CAPS: A Cross-genre Author Profiling System
Ivan Bilan | Desislava Zhekova

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Author Profiling using Complementary Second Order Attributes and Stylometric Features
Konstantinos Bougiatiotis | Anastasia Krithara

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GronUP: Groningen User Profiling
Mart Busger Op Vollenbroek | Talvany Carlotto | Tim Kreutz | Maria Medvedeva | Chris Pool | Johannes Bjerva | Hessel Haagsma | Malvina Nissim

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Using Machine Learning Algorithms for Author Profiling In Social Media
Daniel Dichiu | Irina Rancea

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Profile-based Approach for Age and Gender Identification
Maria José Garciarena Ucelay | Maria Paula Villegas | Dario G. Funez | Leticia C. Cagnina | Marcelo Luis Errecalde | Gabriela Ramírez-de-la-Rosa | Esaú Villatoro-Tello

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PANcakes Team: A Composite System of Domain-Agnostic Features For Author Profiling
Pepa Gencheva | Martin Boyanov | Elena Deneva | Preslav Nakov | Georgi Georgiev | Yasen Kiprov | Ivan Koychev

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Statistical Semantics in Context Space : Amrita_CEN@Author Profiling
Barathi Ganesh H. B. | M. Anand Kumar | K. P. Soman

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Author Masking through Translation
Yashwant Keswani | Harsh Trivedi | Parth Mehta | Prasenjit Majumder

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UniNE at CLEF 2016: Author Clustering
Mirco Kocher

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UniNE at CLEF 2016: Author Profiling
Mirco Kocher | Jacques Savoy

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Methods for Intrinsic Plagiarism Detection and Author Diarization
Mikhail P. Kuznetsov | Anastasia Motrenko | Rita Kuznetsova | Vadim V. Strijov

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Evaluating Safety, Soundness and Sensibleness of Obfuscation Systems
Matthias Liebeck | Pashutan Modaresi | Stefan Conrad

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Derivative Approach for Plagiarism Source Retrieval
Rhulani Maluleka

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Multi Feature Space Combination for Authorship Clustering
Muharram Mansoorizadeh | Mohammad Aminian | Taher Rahgooy | Mehdy Eskandari

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Author Obfuscation using WordNet and Language Models
Muharram Mansoorizadeh | Taher Rahgooy | Mohammad Aminian | Mehdy Eskandari

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Adapting Cross-Genre Author Profiling to Language and Corpus
Ilia Markov | Helena Gómez-Adorno | Grigori Sidorov | Alexander F. Gelbukh

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SU@PAN'2016: Author Obfuscation
Tsvetomila Mihaylova | Georgi Karadjov | Yasen Kiprov | Georgi Georgiev | Ivan Koychev | Preslav Nakov

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Exploring the Effects of Cross-Genre Machine Learning for Author Profiling in PAN 2016
Pashutan Modaresi | Matthias Liebeck | Stefan Conrad

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Profiling Microblog Authors using Concreteness and Sentiment - Know-Center at PAN 2016 Author Profiling
Oliver Pimas | Andi Rexha | Mark Kröll | Roman Kern

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Exploring Word Embeddings and Character N-Grams for Author Clustering
Yunita Sari | Mark Stevenson

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Cross-Genre Author Profile Prediction Using Stylometry-Based Approach
Shaina Ashraf | Hafiz Rizwan Iqbal | Rao Muhammad Adeel Nawab

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Author Diarization Using Cluster-Distance Approach
Abdul Sittar | Hafiz Rizwan Iqbal | Rao Muhammad Adeel Nawab

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A Big Increase in Known Unknowns: from Author Verification to Author Clustering
Anna Vartapetiance | Lee Gillam

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Cross-Genre Age and Gender Identification in Social Media
Anam Zahid | Aadarsh Sampath | Anindya Dey | Golnoosh Farnadi

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Experiments in Authorship-Link Ranking and Complete Author Clustering
Valentin Zmiycharov | Dimitar Alexandrov | Hristo Georgiev | Yasen Kiprov | Georgi Georgiev | Ivan Koychev | Preslav Nakov

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FIRE: Personality Recognition in SOurce COde (PR-SOCO)

Shared Task Website

Overview papers:

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PAN at FIRE: Overview of the PR-SOCO Track on Personality Recognition in SOurce COde
Francisco M. Rangel Pardo | Fabio A. González | Felipe Restrepo-Calle | Manuel Montes-y-Gómez | Paolo Rosso


Participant papers:

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Personality Recognition in Source Code Working Note: Team BESUMich
Shanta Phani | Shibamouli Lahiri | Arindam Biswas

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CAPS-PRC: A System for Personality Recognition in Programming Code
Ivan Bilan | Eduard Saller | Benjamin Roth | Mariia Krytchak

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Personality Recognition Applying Machine Learning Techniques on Source Code Metrics
Hugo A. Castellanos

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A Supervised Approach for Personality Recognition in Source Code using Code Analysis Tool at FIRE 2016
Rehana Delair | Rutal Mahajan

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Shallow Recurrent Neural Network for Personality Recognition in Source Code
Yerai Doval | Carlos Gómez-Rodríguez | Jesús Vilares

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PRHLT at PR-SOCO: A Regression Model for Predicting Personality Traits from Source Code
Maite Giménez | Roberto Paredes

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Pisco: A Computational Approach to Predict Personality Types from Java Source Code
Matthias Liebeck | Pashutan Modaresi | Alexander Askinadze | Stefan Conrad

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Indian Statistical Institute Kolkata at PR-SOCO 2016: A Simple Linear Regression Based Approach
Kripabandhu Ghosh | Swapan Kumar Parui

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UAEMex System for Identifying Personality Traits from Source Code
Eder Vázquez Vázquez | Omar González Brito | Jovani A. García | Miguel Ángel García Calderón | Gabriela Villada Ramírez | Alan J. Serrano León | René Arnulfo García-Hernández | Yulia Ledeneva

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FIRE: Persian Plagiarism Detection (PersianPlagDet)

Shared Task Website

Overview papers:

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Algorithms and Corpora for Persian Plagiarism Detection: Overview of PAN at FIRE 2016
Habibollah Asghari | Salar Mohtaj | Omid Fatemi | Heshaam Faili | Paolo Rosso | Martin Potthast


Participant papers:

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A Pairwise Document Analysis Approach for Monolingual Plagiarism Detection
Nava Ehsan | Azadeh Shakery

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A Plagiarism Detection Approach Based on SVM for Persian Texts
Fezeh Esteki | Faramarz Safi Esfahani

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A Deep Learning Approach to Persian Plagiarism Detection
Erfaneh Gharavi | Kayvan Bijari | Kiarash Zahirnia | Hadi Veisi

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From English to Persian: Conversion of Text Alignment for Plagiarism Detection
Lee Gillam | Anna Vartapetiance

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Persian Plagiarism Detection Using Sentence Correlations
Muharram Mansoorizadeh | Taher Rahgooy

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A Text Alignment Algorithm Based on Prediction of Obfuscation Types Using SVM Neural Network
Fatemeh Mashhadirajab | Mehrnoush Shamsfard

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An n-gram based Method for nearly Copy Detection in Plagiarism Systems
Behrouz Minaei | Mahdi Niknam

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Graph-based Approach to Text Alignment for Plagiarism Detection in Persian Documents
Mozhgan Momtaz | Kayvan Bijari | Mostafa Salehi | Hadi Veisi

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Plagiarism Detection Based on a Novel Trie-based Approach
Alireza Talebpour | Mohammad Shirzadi Laskoukelayeh | Zahra Aminolroaya

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A Text Alignment Corpus for Persian Plagiarism Detection
Fatemeh Mashhadirajab | Mehrnoush Shamsfard | Razieh Adelkhah | Fatemeh Shafiee | Chakaveh Saedi

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Mahak Samim: A Corpus of Persian Academic Texts for Evaluating Plagiarism Detection Systems
Morteza Rezaei Sharifabadi | Seyed Ahmad Eftekhari

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FIRE: Detecting Paraphrases in Indian Languages (DPIL)

Shared Task Website

Overview papers:

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DPIL@FIRE2016: Overview of the Shared task on Detecting Paraphrases in Indian language
M. Anand Kumar | Shivkaran Singh | Kavirajan B | Soman K. P


Participant papers:

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BITS_PILANI@DPIL-FIRE2016: Paraphrase Detection in Hindi Language using Syntactic Features of Phrase
Rupal Bhargava | Anushka Baoni | Harshit Jain | Yashvardhan Sharma

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ASE@DPIL-FIRE2016: Hindi Paraphrase Detection using Natural Language Processing Techniques & Semantic Similarity Computations
Vani K. | Deepa Gupta

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KS_JU@DPIL-FIRE2016: Detecting Paraphrases in Indian Languages Using Multinomial Logistic Regression Model
Kamal Sarkar

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NLP-NITMZ@DPIL-FIRE2016: Language Independent Paraphrases Detection
Sandip Sarkar | Saurav Saha | Jereemi Bentham | Partha Pakray | Dipankar Das | Alexander F. Gelbukh

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HIT2016@DPIL-FIRE2016: Detecting Paraphrases in Indian Languages based on Gradient Tree Boosting
Leilei Kong | Kaisheng Chen | Liuyang Tian | Zhenyuan Hao | Zhongyuan Han | Haoliang Qi

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CUSAT_NLP@DPIL-FIRE2016: Malayalam Paraphrase Detection
Sindhu L | Sumam Mary Idicula

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Anuj@DPIL-FIRE2016: A Novel Paraphrase Detection Method in Hindi Language using Machine Learning
Anuj Saini

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JU_NLP@DPIL-FIRE2016: Paraphrase Detection in Indian Languages - A Machine Learning Approach
Tanik Saikh | Sudip Kumar Naskar | Sivaji Bandyopadhyay

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CUSAT_TEAM@ DPIL-FIRE2016: Detecting Paraphrase in Indian Languages-Malayalam
K. Manju | Sumam Mary Idicula

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KEC@DPIL-FIRE2016: Detection of Paraphrases in Indian Languages (Tamil)
R. Thangarajan | Shanmuga Vadivel Kogilavani | A. Karthic | S. Jawahar