Working Notes
CLEF 2016 Labs Working Notes available online in CEUR-WS.org, volume 1609.CLEF eHealth
- [Invited] 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 and Pierre Zweigenbaum - [Invited] Task 1 of the CLEF eHealth Evaluation Lab 2016: Handover Information Extraction
Hanna Suominen, Liyuan Zhou, Lorraine Goeuriot and Liadh Kelly - [Invited] The IR Task at the CLEF eHealth Evaluation Lab 2016: User-centred Health Information Retrieval
Guido Zuccon, Joao Palotti, Lorraine Goeuriot, Liadh Kelly, Mihai Lupu, Pavel Pecina, Henning Müller, Julie Budaher and Anthony Deacon - BiTeM at CLEF eHealth Evaluation Lab 2016 Task 2: Multilingual Information Extraction
Luc Mottin, Julien Gobeill, Anaïs Mottaz, Emilie Pasche, Arnaud Gaudinat and Patrick Ruch - CLEF eHealth 2016 - Task 1: Information extraction
Lautaro Quiroz, Lydia Mennes and Evangelos Kanoulas - Comparison of Several Word embedding Sources for Medical Information Retrieval
Julie Budaher, Mohannad Almasri and Lorraine Goeuriot - ECNU at 2016 eHealth Task 1: Handover Information Extraction
Yang Song, Yun He, Hongyu Liu, Qinmin Hu, Liang He and Yueyao Wang - ECNU at 2016 eHealth Task 3: Patient-centred Information Retrieval
Yang Song, Yun He, Hongyu Liu, Yueyao Wang, Qinmin Hu and Liang He - ECSTRA-INSERM @ CLEF eHealth2016-task 2: ICD10 Code Extraction from Death Certificates
Mohamed Dermouche, Vincent Looten, Rémi Flicoteaux, Sylvie Chevret, Julien Velcin and Namik Taright - Erasmus MC at CLEF eHealth 2016: Concept Recognition and Coding in French Texts
Erik M. van Mulligen, Zubair Afzal, Saber A. Akhondi, Dang Vo and Jan A. Kors - KDEIR at CLEF eHealth 2016: Health Documents Re-ranking Based on Query Variations
Md Zia Ullah and Masaki Aono - KISTI at CLEF eHealth 2016 Task 3: Ranking Medical Documents using Word Vectors
Heung-Seon Oh and Yuchul Jung - LIMSI ICD10 coding experiments on CépiDC death certificate statements
Pierre Zweigenbaum and Thomas Lavergne - 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 and Marine Wauquier - MayoNLPTeam at the 2016 CLEF eHealth Information Retrieval Task 1
Yanshan Wang, Stephen Wu and Hongfang Liu - Semantic tagging and normalization of French medical entities
Jorge Vivaldi, Horacio Rodriguez and Viviana Cotik - SIBM at CLEF eHealth Evaluation Lab 2016: Extracting Concepts in French Medical Texts with ECMT and CIMIND
Chloé Cabot, Lina F. Soualmia, Badisse Dahamna and Stéfan Darmoni - Task 3: Patient-Centered Information Retrieval, IRTask 1: ad-hoc search - TEAM ub-botswana.
Edwin Thuma, Nkwebi Peace Motlogelwa and Tebo Dingalo - Task3 Patient-Centred Information Retrieval: Team CUNI
Shadi Saleh and Pavel Pecina - Team GU-IRLAB at CLEF eHealth 2016: Task 3
Luca Soldaini and Will Edman - The effectiveness of query expansion when searching for health related content: InfoLab at CLEF eHealth 2016
Ricardo Silva and Carla Lopes - WHUIRGroup at the CLEF 2016 eHealth Lab Task 3
Ruixue Wang, Wei Lu and Ke Ren - Wrappers for Feature Subset Selection in CRF-based Clinical Information Extraction
Mike Ebersbach, Robert Herms, Christina Lohr and Maximilian Eibl
ImageCLEF
- [Invited] Overview of the ImageCLEF 2016 Handwritten Scanned Document Retrieval Task
Mauricio Villegas, Joan Puigcerver, Alejandro Toselli, Joan Andreu Sanchez and Enrique Vidal - [Invited] Overview of the ImageCLEF 2016 Scalable Concept Image Annotation Task
Andrew Gilbert, Luca Piras, Josiah Wang, Fei Yan, Arnau Ramisa, Emmanuel Dellandrea, Robert Gaizauskas, Mauricio Villegas and Krystian Mikolajczyk - CITlab ARGUS for Keyword Search in Historical Handwritten Documents - Description of CITlab's System for the Handwritten Scanned Document Retrieval Task: Handwritten Text Recognition on the tranScriptorium Dataset
Tobias Strauß, Tobias Grüning, Gundram Leifert and Roger Labahn - CNRS TELECOM ParisTech at ImageCLEF 2016 Scalable Concept Image Annotation Task: Overcoming the Scarcity of Training Data
Hichem Sahbi - DUTh at the ImageCLEF 2016 Image Annotation Task: Content Selection
Georgios Barlas, Maria Ntonti and Avi Arampatzis - Image annotation and two paths to text illustration
Herve Le Borgne, Etienne Gadeski, Ines Chami, Thi Quynh Nhi Tran, Youssef Tamaazousti, Alexandru Lucian Gînscă and Adrian Popescu - INAOE’s participation at ImageCLEF 2016: Text Illustration Task
Luis Pellegrin, A. Pastor López-Monroy, Hugo Jair Escalante and Manuel Montes-Y-Gómez - IPL at CLEF 2016 Medical Task
Leonidas Valavanis and Theodore Kalamboukis - Joint Learning of CNN and LSTM for Image Captioning
Yongqing Zhu, Xiangyang Li, Xue Li, Jian Sun, Xinhang Song and Shuqiang Jiang - MayoBMI at ImageCLEF 2016 Handwritten Document Retrieval Challenge
Sijia Liu, Yanshan Wang, Saeed Mehrabi, Dingcheng Li and Hongfang Liu - MRIM-LIG at ImageCLEF 2016 Scalable Concept Image Annotation Task
Maxime Portaz, Mateusz Budnik, Philippe Mulhem and Johann Poignant - NovaSearch at ImageCLEFmed 2016 Subfigure Classification Task
David Semedo and João Magalhães - Overview of the Medical Tasks in ImageCLEF 2016
Alba García Seco De Herrera, Roger Schaer, Stefano Bromuri and Henning Müller - Subfigure and Multi-Label Classification using a Fine-Tuned Convolutional Neural Network
Ashnil Kumar, David Lyndon, Jinman Kim and David Feng - Traditional Feature Engineering and Deep Learning Approaches at Medical Classification Task of ImageCLEF 2016
Sven Koitka and Christoph M. Friedrich - UAEMex at ImageCLEF 2016: Handwritten Retrieval
Miguel Ángel García Calderón and René Arnulfo García Hernández - UDEL CIS Working Notes in ImageCLEF 2016
Scott Sorensen, Pengyuan Li, Abhishek Kolagunda, Xiangying Jiang, Xiaolong Wang, Hagit Shatkay and Chandra Kambhamettu - Using Machine Learning Techniques, Textual and Visual Processing in Scalable Concept Image Annotation Challenge
Alexandru Cristea and Adrian Iftene
LifeCLEF
- [Invited] LifeCLEF Bird Identification Task 2016
Hervé Goëau, Hervé Glotin, Willem-Pier Vellinga, Robert Planqué and Alexis Joly - [Invited] Plant identification in an open-world (LifeCLEF 2016)
Hervé Goëau, Pierre Bonnet and Alexis Joly - Audio Based Bird Species Identification using Deep Learning Techniques
Elias Sprengel, Martin Jaggi, Yannic Kilcher and Thomas Hofmann - Bag of MFCC-based words for bird identification
Julien Ricard and Hervé Glotin - Bluefield (KDE TUT) at LifeCLEF 2016 Plant Identification Task
Siang Thye Hang, Atsushi Tatsuma and Masaki Aono - Convolutional Neural Networks for Large-Scale Bird Song Classification in Noisy Environment
- Deep Learning and SVM Classification for Plant Recognition in Content-Based Large Scale Image Retrieval
Bálint Pál Tóth, Márton Tóth, Dávid Papp and Gábor Szűcs - Feature Learning via Mixtures of DCNNs for Fine-Grained Plant Classification
Chris McCool, Zongyuan Ge and Peter Corke - Floristic participation at LifeCLEF 2016 Plant Identification Task
Hervé Goëau, Julien Champ and Alexis Joly - Improving Bird Identification using Multiresolution Template Matching and Feature Selection during Training
Mario Lasseck - Large-scale individual whales matching: spot the difference in the ocean
Alexis Joly, Jean-Christophe Lombardo, Julien Champ and Anjara Saloma - Object detection, classification, tracking and individual recognition for sea images and videos
Dávid Papp, Dániel Lovas and Gábor Szűcs - Open-set Plant Identification Using an Ensemble of Deep Convolutional Neural Networks
Mostafa Mehdipour Ghazi, Berrin Yanikoglu and Erchan Aptoula - 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 and Paolo Remagnino - Recognizing bird species in audio recordings using deep convolutional neural networks
Karol Piczak - SeaCLEF 2016: Object proposal classification for fish detection in underwater videos
Jonas Jäger, Erik Rodner, Joachim Denzler, Viviane Wolff and Klaus Fricke-Neuderth - Very Deep Residual Networks with MaxOut for Plant Identification in the Wild
Milan Šulc, Dmytro Mishkin and Jiří Matas
LL4IR & NEWSREEL
(Living Lab for IR & News Recommandation Evaluation Lab)- [Invited] CLEF NewsREEL 2016: Comparing Multi-dimensional Offline and Online Evaluation of News Recommender Systems
Benjamin Kille, Andreas Lommatzsch, Frank Hopfgartner, Martha Larson, Jonas Seiler, Davide Malagoli, Andras Sereny and Torben Brodt - CLEF NEWSReel 2016: Image based Recommendation
Francesco Corsini and Martha Larson - Clicks Pattern Analysis for Online News Recommendation Systems
Jing Yuan, Andreas Lommatzsch and Benjamin Kille - Develoment of a News Recommender System based on Apache Flink
Alexandru Ciobanu and Andreas Lommatzsch - Development and Evaluation of a Scalable News Recommender System, Applying Time-dependent Models
Patrick Probst and Andreas Lommatzsch - Ideas for a Standard LL4IR Extension - Living Labs from a System Operator's Perspective
Philipp Schaer and Narges Tavakolpoursaleh - Living Ranking: from online to real-time information retrieval evaluation
Lamjed Ben Jabeur, Laure Soulier, Paul Mousset and Lynda Tamine - Real-time News Recommendation using Apache Spark
Andreas Lommatzsch, Jens Meiners, Jaschar Domann and Lea Helmers - Recommender Ensembles for News Articles based on Most-Popular Strategies
Andreas Lommatzsch, Jens Meiners, Lea Helmers, Jaschar Domann and Niels Johannes - Recommender Systems Evaluations : A|A Test, Offline and Online
Gebreskirstos G. Gebremeskel and Arjen P. de Vries - Research-Centres Centred Living Labs
Liadh Kelly
PAN
(uncovering Plagiarism, Authorship and Social Softare Misuse)- [Invited] Author Obfuscation: Attacking the State of the Art in Authorship Verification
Martin Potthast, Matthias Hagen and Benno Stein - [Invited] Clustering by Authorship Within and Across Documents
Efstathios Stamatatos, Michael Tschuggnall, Ben Verhoeven, Walter Daelemans, Guenther Specht, Benno Stein and Martin Potthast - [Invited] 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 and Benno Stein - Author Profiling using Complementary Second Order Attributes and Stylometric Features
Konstantinos Bougiatiotis and Anastasia Krithara - A Big Increase in Known Unknowns: from Author Verification to Author Clustering
Anna Vartapetiance and Lee Gillam - Adapting Cross-Genre Author Profiling to Language and Corpus
Ilia Markov, Helena Gómez-Adorno and Grigori Sidorov - Age and Gender Identification using Stacking for Classification
Madhulika Agrawal and Teresa Gonçalves - Author Diarization Using Cluster-Distance Approach
Abdul Sittar, Rizwan Iqbal and Adeel Nawab - Author Masking through Translation
Yashwant Keswani, Harsh Trivedi, Parth Mehta and Prasenjit Majumder - Author obfuscation using WordNet and language models: Notebook for PAN at CLEF 2016
Muharram Mansourizade - Author Profiling Using Support Vector Machines
Rodwan Bakkar Deyab, José Duarte and Teresa Gonçalves - Author Profiling using SVMs and Word Embedding Averages
Roy Khristopher Bayot and Teresa Gonçalves - Authorship clustering using multi-headed recurrent neural networks
Douglas Bagnall - Autorship-link Ranking and Complete Author Clustering
Valentin Zmiycharov, Dimitar Alexandrov, Hristo Georgiev, Preslav Nakov, Yasen Kiprov, Georgi Georgiev and Ivan Koychev - CAPS: A Cross-genre Author Profiling System - Notebook for PAN at CLEF 2016
Ivan Bilan and Desislava Zhekova - Cross-Genre Age and Gender Identification in Social Media
Anam Zahid, Aadarsh Sampath, Anindya Dey and Golnoosh Farnadi - Cross-Genre Author Profile Prediction Using Stylometry-Based Approach
Shaina Ashraf, Hafiz Rizwan Iqbal and Rao Muhammad Adeel Nawab - Derivative Approach for Plagiarism Source Retrieval
Rhulani Maluleka - Evaluating Safeness, Soundness and Properness of Obfuscation Systems
Pashutan Modaresi, Matthias Liebeck and Stefan Conrad - Exploring the Effects of Cross-Genre Machine Learning for Author Profiling in PAN 2016
Pashutan Modaresi, Matthias Liebeck and Stefan Conrad - Exploring Word Embeddings and Character N-Grams for Author Clustering
Yunita Sari and Mark Stevenson - GronUP: Groningen User Profiling
Mart Busger Op Vollenbroek, Talvany Carlotto, Tim Kreutz, Maria Medvedeva, Chris Pool, Johannes Bjerva, Hessel Haagsma and Malvina Nissim - Methods for intrinsic plagiarism detection and author diarizatio
Mikhail Kuznetsov, Anastasia Motrenko, Rita Kuznetsova and Vadim Strijov - Multi feature space combination for authorship clustering Notebook for PAN at CLEF 2016
Muharram Mansoorizadeh, Mohammad Aminian, Taher Rahgooy and Mehdy Eskandari - PANcakes Team: A Composite System of Domain-Agnostic Features For Author Profiling
Pepa Gencheva, Martin Boyanov, Elena Deneva, Preslav Nakov, Georgi Georgiev, Yasen Kiprov and Ivan Koychev - Profile-based Approach for Age and Gender Identification. Notebook for PAN at CLEF 2016.
Ma. José Garciarena Ucelay, Ma. Paula Villegas, Dario G. Funez, Leticia C. Cagnina, Marcelo L. Errecalde, Gabriela Ramírez-De-La-Rosa and Esau Villatoro-Tello - Profiling microblog authors using concreteness and sentiment - Know-Center at PAN 2016 author profiling
Oliver Pimas, Andi Rexha, Mark Kröll and Roman Kern - Statistical Semantics in Context Space: Amrita CEN@Author Profiling
Barathi Ganesh Hb, Anand Kumar M and Soman Kp - SU@PAN’2016: Author Obfuscation Notebook for PAN at CLEF 2016
Tsvetomila Mihaylova, Georgi Karadjov, Preslav Nakov, Yasen Kiprov, Georgi Georgiev and Ivan Koychev - UniNE at CLEF 2016: Author Clustering
Mirco Kocher - UniNE at CLEF 2016: Author Profiling
Mirco Kocher and Jacques Savoy - Using Machine Learning Algorithms For Author Profiling In Social Media
Daniel Dichiu and Irina Rancea
SBS
(Social Book Search)- [Invited] Overview of the SBS 2016 Interactive Track
Maria Gaede, Mark Michael Hall, Hugo Huurdeman, Jaap Kamps, Marijn Koolen, Mette Skov, Toine Bogers and David Walsh - [Invited] Overview of the SBS 2016 Mining Track
Toine Bogers, Iris Hendrickx, Marijn Koolen and Suzan Verberne - [Invited] Overview of the SBS 2016 Suggestion Track
Marijn Koolen, Toine Bogers and Jaap Kamps - BM25 for Non-Textual Modalities in Social Book Search
Melanie Imhof - Hood or Hypertext: A Comparison of Offline and Online Book Search Sessions
Maria Gaede and Vivien Petras - I Need More Time!: The Influence of Native Language on Book Search Behavior and Experience
Chang Liu, Pengyi Zhang and Preben Hansen - Individual Differences and Task Behaviour
Mark Michael Hall - KNOW At The Social Book Search Lab 2016 Mining Track
Hermann Ziak, Andi Rexha and Roman Kern - KNOW At The Social Book Search Lab 2016 Suggestion Track
Hermann Ziak and Roman Kern - Linking Task: Identifying authors and book titles in verbose queries
Ollagnier Anaïs, Fournier Sébastien and Bellot Patrice - OAUC's participation in the CLEF2016 SBS Search Suggestion Track
Michael Preminger and Gjertrud Fludal - Query Expansion by Word Embedding in the Suggestion Track of CLEF 2016 Social Book Search Lab
Shih-Hung Wu, Yi-Hsiang Hsieh, Liang-Pu Chen and Ping-Che Yang - SBS 2016 : Combining Query Expansion Result and Books Information Score for Book Recommendation
Amal Htait, Sébastien Fournier and Patrice Bellot - SBS 2016 Track mining: Text mining based approaches for book search requests classication
Mohamed Ettaleb, Chiraz Latiri, Brahim Douar and Patrice Bellot - SOCIAL BOOK SEARCH TRACK: ISM@CLEF'16 SUGGESTION TASK
Ritesh Kumar, Bhanodai Guggilla and Rajendra Pamula - USTB at Social Book Search 2016 Suggestion Task: Active Books Set and Re-ranking
Shao-Hui Feng, Bo-Wen Zhang, Xu-Cheng Yin, Zan-Xia Jin, Jian-Lin Jin, Jian-Wei Wu, Le-Le Zhang, Hao-Jie Pan, Fan Fang and Fang Zhou - Verbose Query Reduction by Learning to Rank for Social Book Search Track
Messaoud Chaa, Omar Nouali and Patrice Bellot - Word Embedding for Social Book Suggestion
Nawal Ould Amer, Philippe Mulhem, Mathias Géry and Karam Abdulahhad
Workshop Papers
Papers available online in CEUR-WS.org, volume 1609.CMC
(Cultural Microblog Contextualization)- Building a Knowledge Base using Microblogs: the Case of Cultural MicroBlog Contextualization Collection
Thi Bich Ngoc Hoang and Josiane Mothe - LIG at CLEF 2016 Cultural Microblog Contextualization: TimeLine illustration based on Microblogs
Nayanika Dogra, Philippe Mulhem, Nawal Ould Amer and Lorraine Goeuriot - Semantic Mapping: Towards Contextual and Trend Analysis of Behaviours and Practices
Murtagh Fionn - Tweet Contextualization using Continuous Space Vector: an experiment on the CLEF-INEX'16 task
Elvys Linhares Pontes, Juan-Manuel Torres-Moreno, Stéphane Huet and Andréa Carneiro Linhares - Tweet Data mining : the Cultural Microblog Contextualization Data Set
Clémentine Scohy, Yassine Rkha Chaham, Sébastien Déjean and Josiane Mothe
