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CLEF 2016: Évora, Portugal - Working Notes
- Krisztian Balog, Linda Cappellato, Nicola Ferro, Craig Macdonald:
Working Notes of CLEF 2016 - Conference and Labs of the Evaluation forum, Évora, Portugal, 5-8 September, 2016. CEUR Workshop Proceedings 1609, CEUR-WS.org 2016
CLEFeHealth
- Hanna Suominen, Liyuan Zhou, Lorraine Goeuriot, Liadh Kelly:
Task 1 of the CLEF eHealth Evaluation Lab 2016: Handover Information Extraction. 1-14 - Guido Zuccon, João R. M. Palotti, Lorraine Goeuriot, Liadh Kelly, Mihai Lupu, Pavel Pecina, Henning Müller, Julie Budaher, Anthony Deacon:
The IR Task at the CLEF eHealth Evaluation Lab 2016: User-centred Health Information Retrieval. 15-27 - Aurélie Névéol, Kevin Bretonnel Cohen, Cyril Grouin, Thierry Hamon, Thomas Lavergne, Liadh Kelly, Lorraine Goeuriot, Grégoire Rey, Aude Robert, Xavier Tannier, Pierre Zweigenbaum:
Clinical Information Extraction at the CLEF eHealth Evaluation lab 2016. 28-42 - Julie Budaher, Mohannad Almasri, Lorraine Goeuriot:
Comparison of Several Word embedding Sources for Medical Information Retrieval. 43-46 - Chloé Cabot, Lina Fatima Soualmia, Badisse Dahamna, Stéfan Jacques Darmoni:
SIBM at CLEF eHealth Evaluation Lab 2016: Extracting Concepts in French Medical Texts with ECMT and CIMIND. 47-60 - Mohamed Dermouche, Vincent Looten, Rémi Flicoteaux, Sylvie Chevret, Julien Velcin, Namik Taright:
ECSTRA-INSERM @ CLEF eHealth2016-task 2: ICD10 Code Extraction from Death Certificates. 61-68 - Mike Ebersbach, Robert Herms, Christina Lohr, Maximilian Eibl:
Wrappers for Feature Subset Selection in CRF-based Clinical Information Extraction. 69-80 - Lydia-Mai Ho-Dac, Ludovic Tanguy, Céline Grauby, Nkauj Hnub Aurore Heu Mby, Justine Malosse, Laura Rivière, Amélie Veltz-Mauclair, Marine Wauquier:
LITL at CLEF eHealth2016: recognizing Entities in French Biomedical Documents. 81-93 - Luc Mottin, Julien Gobeill, Anaïs Mottaz, Emilie Pasche, Arnaud Gaudinat, Patrick Ruch:
BiTeM at CLEF eHealth Evaluation Lab 2016 Task 2: Multilingual Information Extraction. 94-102 - Heung-Seon Oh, Yuchul Jung:
KISTI at CLEF eHealth 2016 Task 3: Ranking Medical Documents using Word Vectors. 103-108 - Lautaro Quiroz, Lydia Mennes, Mostafa Dehghani, Evangelos Kanoulas
:
Distributional Semantics for Medical Information Extraction. 109-122 - Shadi Saleh, Pavel Pecina:
Task3 Patient-Centred Information Retrieval: Team CUNI. 123-129 - Ricardo Silva, Carla Teixeira Lopes:
The Effectiveness of Query Expansion when searching for Health related Content: InfoLab at CLEF eHealth 2016. 130-142 - Luca Soldaini, Will Edman, Nazli Goharian:
Team GU-IRLAB at CLEF eHealth 2016: Task 3. 143-146 - Yang Song, Yun He, Hongyu Liu, Qinmin Hu, Liang He, Yueyao Wang:
ECNU at 2016 eHealth Task 1: Handover Information Extraction. 147-156 - Yang Song, Yun He, Hongyu Liu, Yueyao Wang, Qinmin Hu, Liang He:
ECNU at 2016 eHealth Task 3: Patient-centred Information Retrieval. 157-161 - Edwin Thuma, Nkwebi Peace Motlogelwa, Tebo Leburu-Dingalo:
Task 3: Patient-Centered Information Retrieval, IRTask 1: ad-hoc search - TEAM ub-botswana. 162-166 - Md. Zia Ullah, Masaki Aono:
KDEIR at CLEF eHealth 2016: Health Documents Re-ranking Based on Query Variations. 167-170 - Erik M. van Mulligen, Zubair Afzal, Saber A. Akhondi, Dang Vo, Jan A. Kors:
Erasmus MC at CLEF eHealth 2016: Concept Recognition and Coding in French Texts. 171-178 - Jorge Vivaldi, Horacio Rodríguez, Viviana Cotik:
Semantic Tagging and Normalization of French Medical Entities. 179-192 - Ruixue Wang, Wei Lu, Ke Ren:
WHUIRGroup at the CLEF 2016 eHealth Lab Task 3. 193-197 - Yanshan Wang, Stephen T. Wu, Hongfang Liu:
MayoNLPTeam at the 2016 CLEF eHealth Information Retrieval Task 1. 198-204 - Pierre Zweigenbaum, Thomas Lavergne:
LIMSI ICD10 coding Experiments on CépiDC Death Certificate Statements. 205-218
ImageCLEF
- Alba Garcia Seco de Herrera, Roger Schaer, Stefano Bromuri, Henning Müller:
Overview of the ImageCLEF 2016 Medical Task. 219-232 - Mauricio Villegas, Joan Puigcerver, Alejandro H. Toselli, Joan-Andreu Sánchez, Enrique Vidal:
Overview of the ImageCLEF 2016 Handwritten Scanned Document Retrieval Task. 233-253 - Andrew Gilbert, Luca Piras, Josiah Wang, Fei Yan, Arnau Ramisa, Emmanuel Dellandréa, Robert J. Gaizauskas, Mauricio Villegas, Krystian Mikolajczyk:
Overview of the ImageCLEF 2016 Scalable Concept Image Annotation Task. 254-278 - Georgios Barlas, Maria Ntonti, Avi Arampatzis:
DUTh at the ImageCLEF 2016 Image Annotation Task: Content Selection. 279-287 - Alexandru Cristea, Adrian Iftene:
Using Machine Learning Techniques, Textual and Visual Processing in Scalable Concept Image Annotation Challenge. 288-298 - Miguel Ángel García Calderón, René Arnulfo García-Hernández, Yulia Ledeneva:
UAEMex at ImageCLEF 2016: Handwritten Retrieval. 299-303 - Sven Koitka, Christoph M. Friedrich:
Traditional Feature Engineering and Deep Learning Approaches at Medical Classification Task of ImageCLEF 2016. 304-317 - Ashnil Kumar, David Lyndon, Jinman Kim, David Feng:
Subfigure and Multi-Label Classification using a Fine-Tuned Convolutional Neural Network. 318-321 - Hervé Le Borgne, Etienne Gadeski, Ines Chami, Thi Quynh Nhi Tran, Youssef Tamaazousti, Alexandru-Lucian Gînsca, Adrian Popescu:
Image Annotation and Two Paths to Text Illustration. 322-333 - Pengyuan Li, Scott Sorensen, Abhishek Kolagunda, Xiangying Jiang, Xiaolong Wang, Chandra Kambhamettu, Hagit Shatkay:
UDEL CIS Working Notes in ImageCLEF 2016. 334-346 - Sijia Liu, Yanshan Wang, Saeed Mehrabi, Dingcheng Li, Hongfang Liu:
MayoBMI at ImageCLEF 2016 Handwritten Document Retrieval Task. 347-355 - Luis Pellegrin, Adrián Pastor López-Monroy, Hugo Jair Escalante, Manuel Montes-y-Gómez:
INAOE's participation at ImageCLEF 2016: Text Illustration Task. 356-362 - Maxime Portaz, Mateusz Budnik, Philippe Mulhem, Johann Poignant:
MRIM-LIG at ImageCLEF 2016 Scalable Concept Image Annotation Task. 363-370 - Hichem Sahbi:
CNRS TELECOM ParisTech at ImageCLEF 2016 Scalable Concept Image Annotation Task: Overcoming the Scarcity of Training Data. 371-385 - David Semedo, João Magalhães:
NovaSearch at ImageCLEFmed 2016 Subfigure Classification Task. 386-398 - Tobias Strauß, Tobias Grüning, Gundram Leifert, Roger Labahn:
CITlab ARGUS for Keyword Search in Historical Handwritten Documents - Description of CITlab's System for the ImageCLEF 2016 Handwritten Scanned Document Retrieval Task. 399-412 - Leonidas Valavanis, Spyridon Stathopoulos, Theodore Kalamboukis:
IPL at CLEF 2016 Medical Task. 413-420 - Yongqing Zhu, Xiangyang Li, Xue Li, Jian Sun, Xinhang Song, Shuqiang Jiang:
Joint Learning of CNN and LSTM for Image Captioning. 421-427
LifeCLEF
- Hervé Goëau, Pierre Bonnet, Alexis Joly:
Plant Identification in an Open-world (LifeCLEF 2016). 428-439 - Hervé Goëau, Hervé Glotin, Willem-Pier Vellinga, Robert Planqué, Alexis Joly:
LifeCLEF Bird Identification Task 2016: The arrival of Deep learning. 440-449 - Julien Champ, Hervé Goëau, Alexis Joly:
Floristic participation at LifeCLEF 2016 Plant Identification Task. 450-458 - Siang Thye Hang, Atsushi Tatsuma, Masaki Aono:
Bluefield (KDE TUT) at LifeCLEF 2016 Plant Identification Task. 459-468 - Alexis Joly, Jean-Christophe Lombardo, Julien Champ, Anjara Saloma:
Unsupervised Individual Whales Identification: Spot the Difference in the Ocean. 469-480 - Jonas Jäger, Erik Rodner, Joachim Denzler, Viviane Wolff, Klaus Fricke-Neuderth:
SeaCLEF 2016: Object Proposal Classification for Fish Detection in Underwater Videos. 481-489 - Mario Lasseck:
Improving Bird Identification using Multiresolution Template Matching and Feature Selection during Training. 490-501 - Sue Han Lee, Yang Loong Chang, Chee Seng Chan, Paolo Remagnino:
Plant Identification System based on a Convolutional Neural Network for the LifeClef 2016 Plant Classification Task. 502-510 - Chris McCool, ZongYuan Ge, Peter I. Corke:
Feature Learning via Mixtures of DCNNs for Fine-Grained Plant Classification. 511-517 - Mostafa Mehdipour-Ghazi, Berrin A. Yanikoglu, Erchan Aptoula:
Open-set Plant Identification Using an Ensemble of Deep Convolutional Neural Networks. 518-524 - Dávid Papp, Dániel Lovas, Gábor Szücs:
Object Detection, Classification, Tracking and individual Recognition for Sea Images and Videos. 525-533 - Karol J. Piczak:
Recognizing Bird Species in Audio Recordings using Deep Convolutional Neural Networks. 534-543 - Julien Ricard, Hervé Glotin:
Bag of MFCC-based Words for Bird Identification. 544-546 - Elias Sprengel, Martin Jaggi, Yannic Kilcher, Thomas Hofmann:
Audio Based Bird Species Identification using Deep Learning Techniques. 547-559 - Bálint Pál Tóth, Bálint Czeba:
Convolutional Neural Networks for Large-Scale Bird Song Classification in Noisy Environment. 560-568 - Bálint Pál Tóth, Márton József Tóth, Dávid Papp, Gábor Szücs:
Deep Learning and SVM Classification for Plant Recognition in Content-Based Large Scale Image Retrieval. 569-578 - Milan Sulc, Dmytro Mishkin, Jiri Matas:
Very Deep Residual Networks with MaxOut for Plant Identification in the Wild. 579-586
LL4IR & NewsREEL: New Ideas
- Lamjed Ben Jabeur, Laure Soulier, Paul Mousset, Lynda Tamine:
Living Ranking: from Online to Real-time Information Retrieval Evaluation. 587-588 - Liadh Kelly:
Research-Centres Centred Living Labs. 589-590 - Philipp Schaer, Narges Tavakolpoursaleh:
Ideas for a Standard LL4IR Extension - Living Labs from a System Operator's Perspective. 591-592
News Recommendation Evaluation Lab (NEWSREEL)
- Benjamin Kille, Andreas Lommatzsch, Frank Hopfgartner, Martha A. Larson, Jonas Seiler, Davide Malagoli, András Serény, Torben Brodt:
CLEF NewsREEL 2016: Comparing Multi-dimensional Offline and Online Evaluation of News Recommender Systems. 593-605 - Alexandru Ciobanu, Andreas Lommatzsch:
Development of a News Recommender System based on Apache Flink. 606-617 - Francesco Corsini, Martha A. Larson:
CLEF NewsREEL 2016: Image based Recommendation. 618-827 - Jaschar Domann, Jens Meiners, Lea Helmers, Andreas Lommatzsch:
Real-time News Recommendations using Apache Spark. 628-641 - Gebrekirstos G. Gebremeskel, Arjen P. de Vries:
Recommender Systems Evaluations : Offline, Online, Time and A/A Test. 642-656 - Andreas Lommatzsch, Niels Johannes, Jens Meiners, Lea Helmers, Jaschar Domann:
Recommender Ensembles for News Articles based on Most-Popular Strategies. 657-668 - Patrick Probst, Andreas Lommatzsch:
Optimizing a Scalable News Recommender System. 669-678 - Jing Yuan, Andreas Lommatzsch, Benjamin Kille:
Clicks Pattern Analysis for Online News Recommendation Systems. 679-690
Digital Text Forensics (PAN)
- Efstathios Stamatatos, Michael Tschuggnall, Ben Verhoeven, Walter Daelemans, Günther Specht, Benno Stein, Martin Potthast:
Clustering by Authorship Within and Across Documents. 691-715 - Martin Potthast, Matthias Hagen, Benno Stein:
Author Obfuscation: Attacking the State of the Art in Authorship Verification. 716-749 - Francisco Manuel Rangel Pardo, Paolo Rosso, Ben Verhoeven, Walter Daelemans, Martin Potthast, Benno Stein:
Overview of the 4th Author Profiling Task at PAN 2016: Cross-Genre Evaluations. 750-784 - Madhulika Agrawal, Teresa Gonçalves:
Age and Gender Identification using Stacking for Classification. 785-790 - Douglas Bagnall:
Authorship Clustering using Multi-headed Recurrent Neural Networks. 791-804 - Rodwan Bakkar Deyab, José Duarte, Teresa Gonçalves:
Author Profiling Using Support Vector Machines. 805-814 - Roy Khristopher Bayot, Teresa Gonçalves:
Author Profiling using SVMs and Word Embedding Averages. 815-823 - Ivan Bilan, Desislava Zhekova:
CAPS: A Cross-genre Author Profiling System. 824-835 - Konstantinos Bougiatiotis, Anastasia Krithara:
Author Profiling using Complementary Second Order Attributes and Stylometric Features. 836-845 - Mart Busger Op Vollenbroek, Talvany Carlotto, Tim Kreutz, Maria Medvedeva, Chris Pool, Johannes Bjerva, Hessel Haagsma, Malvina Nissim:
GronUP: Groningen User Profiling. 846-857 - Daniel Dichiu, Irina Rancea:
Using Machine Learning Algorithms for Author Profiling In Social Media. 858-863 - Maria José Garciarena Ucelay, Maria Paula Villegas, Dario G. Funez, Leticia C. Cagnina, Marcelo Luis Errecalde, Gabriela Ramírez-de-la-Rosa, Esaú Villatoro-Tello:
Profile-based Approach for Age and Gender Identification. 864-873 - Pepa Gencheva, Martin Boyanov, Elena Deneva, Preslav Nakov, Georgi Georgiev, Yasen Kiprov, Ivan Koychev:
PANcakes Team: A Composite System of Domain-Agnostic Features For Author Profiling. 874-880 - Barathi Ganesh H. B., M. Anand Kumar, K. P. Soman:
Statistical Semantics in Context Space : Amrita_CEN@Author Profiling. 881-889 - Yashwant Keswani, Harsh Trivedi, Parth Mehta, Prasenjit Majumder:
Author Masking through Translation. 890-894 - Mirco Kocher:
UniNE at CLEF 2016: Author Clustering. 895-902 - Mirco Kocher, Jacques Savoy:
UniNE at CLEF 2016: Author Profiling. 903-911 - Mikhail P. Kuznetsov, Anastasia Motrenko, Rita Kuznetsova, Vadim V. Strijov:
Methods for Intrinsic Plagiarism Detection and Author Diarization. 912-919 - Matthias Liebeck, Pashutan Modaresi, Stefan Conrad:
Evaluating Safety, Soundness and Sensibleness of Obfuscation Systems. 920-928 - Rhulani Maluleka:
Derivative Approach for Plagiarism Source Retrieval. 929-931 - Muharram Mansoorizadeh, Mohammad Aminian, Taher Rahgooy, Mehdy Eskandari:
Multi Feature Space Combination for Authorship Clustering. 932-938 - Muharram Mansoorizadeh, Taher Rahgooy, Mohammad Aminian, Mehdy Eskandari:
Author Obfuscation using WordNet and Language Models. 939-946 - Ilia Markov, Helena Gómez-Adorno, Grigori Sidorov, Alexander F. Gelbukh:
Adapting Cross-Genre Author Profiling to Language and Corpus. 947-955 - Tsvetomila Mihaylova, Georgi Karadjov, Yasen Kiprov, Georgi Georgiev, Ivan Koychev, Preslav Nakov:
SU@PAN'2016: Author Obfuscation. 956-969 - Pashutan Modaresi, Matthias Liebeck, Stefan Conrad:
Exploring the Effects of Cross-Genre Machine Learning for Author Profiling in PAN 2016. 970-977 - Oliver Pimas, Andi Rexha, Mark Kröll, Roman Kern:
Profiling Microblog Authors using Concreteness and Sentiment - Know-Center at PAN 2016 Author Profiling. 978-983 - Yunita Sari, Mark Stevenson:
Exploring Word Embeddings and Character N-Grams for Author Clustering. 984-991 - Shaina Ashraf, Hafiz Rizwan Iqbal, Rao Muhammad Adeel Nawab:
Cross-Genre Author Profile Prediction Using Stylometry-Based Approach. 992-999 - Abdul Sittar, Hafiz Rizwan Iqbal, Rao Muhammad Adeel Nawab:
Author Diarization Using Cluster-Distance Approach. 1000-1007 - Anna Vartapetiance, Lee Gillam:
A Big Increase in Known Unknowns: from Author Verification to Author Clustering. 1008-1013 - Anam Zahid, Aadarsh Sampath, Anindya Dey, Golnoosh Farnadi:
Cross-Genre Age and Gender Identification in Social Media. 1014-1017 - Valentin Zmiycharov, Dimitar Alexandrov, Hristo Georgiev, Yasen Kiprov, Georgi Georgiev, Ivan Koychev, Preslav Nakov:
Experiments in Authorship-Link Ranking and Complete Author Clustering. 1018-1023
Social Book Search (SBS)
- Maria Gäde, Mark Michael Hall, Hugo C. Huurdeman, Jaap Kamps, Marijn Koolen, Mette Skov, Toine Bogers, David Walsh:
Overview of the SBS 2016 Interactive Track. 1024-1038 - Marijn Koolen, Toine Bogers, Jaap Kamps:
Overview of the SBS 2016 Suggestion Track. 1039-1052 - Toine Bogers, Iris Hendrickx, Marijn Koolen, Suzan Verberne:
Overview of the SBS 2016 Mining Track. 1053-1063 - Anaïs Ollagnier, Sébastien Fournier, Patrice Bellot:
Linking Task: Identifying Authors and Book Titles in Verbose Queries. 1064-1071 - Messaoud Chaa, Omar Nouali, Patrice Bellot:
Verbose Query Reduction by Learning to Rank for Social Book Search Track. 1072-1078 - Mohamed Ettaleb, Chiraz Latiri, Brahim Douar, Patrice Bellot:
SBS 2016 Track Mining: Classification with Linguistic Features for Book Search Requests Classification. 1079-1088 - Shao-Hui Feng, Bo-Wen Zhang, Xu-Cheng Yin, Zan-Xia Jin, Jian-Lin Jin, Jianwei Wu, Le-Le Zhang, Hao-Jie Pan, Fan Fang, Fang Zhou:
USTB at Social Book Search 2016 Suggestion Task: Active Books Set and Re-ranking. 1089-1096 - Maria Gäde, Vivien Petras:
Hood or Hypertext: A Comparison of Offline and Online Book Search Sessions. 1097-1105 - Mark Michael Hall, Marijn Koolen:
Individual Differences and Task Behaviour. 1106-1114 - Amal Htait, Sébastien Fournier, Patrice Bellot:
SBS 2016 : Combining Query Expansion Result and Books Information Score for Book Recommendation. 1115-1122 - Melanie Imhof:
BM25 for Non-Textual Modalities in Social Book Search. 1123-1129 - Ritesh Kumar, Bhanodai Guggilla, Rajendra Pamula:
Social Book Search Track: ISM@CLEF'16 Suggestion Task. 1130-1135 - Nawal Ould Amer, Philippe Mulhem, Mathias Géry, Karam Abdulahhad:
Word Embedding for Social Book Suggestion. 1136-1144 - Michael Preminger, Gjertrud Fludal:
OAUC at CLEF2016 SBS Lab: Using Appeal Elements to Improve Automatic Book Recommendation - Proof of Concept. 1145-1154 - Shih-Hung Wu, Yi-Hsiang Hsieh, Liang-Pu Chen, Ping-Che Yang:
Query Expansion by Word Embedding in the Suggestion Track of CLEF 2016 Social Book Search Lab. 1155-1165 - Pengyi Zhang, Chang Liu, Preben Hansen:
I Need More Time!: The Influence of Native Language on Search Behavior and Experience. 1166-1182 - Hermann Ziak, Roman Kern:
KNOW At The Social Book Search Lab 2016 Suggestion Track. 1183-1189 - Hermann Ziak, Andi Rexha, Roman Kern:
KNOW At The Social Book Search Lab 2016 Mining Track. 1190-1196
Cultural Microblog Contextualization (CMC)
- Liana Ermakova, Lorraine Goeuriot, Josiane Mothe, Philippe Mulhem, Jian-Yun Nie, Eric SanJuan:
Cultural micro-blog Contextualization 2016 Workshop Overview: data and pilot tasks. 1197-1200 - Nayanika Dogra, Philippe Mulhem, Nawal Ould Amer, Lorraine Goeuriot:
LIG at CLEF 2016 Cultural Microblog Contextualization: TimeLine illustration based on Microblogs. 1201-1206 - Fionn Murtagh:
Semantic Mapping: Towards Contextual and Trend Analysis of Behaviours and Practices. 1207-1225 - Thi Bich Ngoc Hoang, Josiane Mothe:
Building a Knowledge Base using Microblogs: the Case of Cultural MicroBlog Contextualization Collection. 1226-1237 - Elvys Linhares Pontes, Juan-Manuel Torres-Moreno, Stéphane Huet, Andréa Carneiro Linhares:
Tweet Contextualization using Continuous Space Vectors: Automatic Summarization of Cultural Documents. 1238-1245 - Clémentine Scohy, Yassine Rkha Chaham, Sébastien Déjean, Josiane Mothe:
Tweet Data mining : the Cultural Microblog Contextualization Data Set. 1246-1259
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