Table of Contents

• PrefaceLinda Cappellato, Nicola Ferro, Martin Halvey, Wessel Kraaij. [doi]
• Task 1 of the CLEF eHealth Evaluation Lab 2014Hanna Suominen, Tobias Schreck, Gondy Leroy, Harry Hochheiser, Lorraine Goeuriot, Liadh Kelly, Danielle Mowery, Jaume Nualart, Gabriela Ferraro, Daniel A. Keim. 1-30 [doi]
• Task 2: ShARe/CLEF eHealth Evaluation Lab 2014Danielle Mowery, Sumithra Velupillai, Brett R. South, Lee M. Christensen, David Martínez, Liadh Kelly, Lorraine Goeuriot, Noémie Elhadad, Sameer Pradhan, Guergana K. Savova, Wendy W. Chapman. 31-42 [doi]
• ShARe/CLEF eHealth Evaluation Lab 2014, Task 3: User-centred Health Information RetrievalLorraine Goeuriot, Liadh Kelly, Wei Li, João R. M. Palotti, Pavel Pecina, Guido Zuccon, Allan Hanbury, Gareth J. F. Jones, Henning Müller. 43-61 [doi]
• An eHealth Process Model of Visualization and Exploration to Support Improved Patient Discharge Record Understanding and Medical Knowledge EnhancementHarvey S. Hyman, Warren Fridy III. 62-78 [doi]
• Disease and Disorder Template Filling using Rule-based and Statistical ApproachesThierry Hamon, Cyril Grouin, Pierre Zweigenbaum. 79-90 [doi]
• Applying In-Memory Technology for Automatic Template Filling in the Clinical DomainKonrad Herbst, Cindy Fähnrich, Mariana Neves, Matthieu-P. Schapranow. 91-102 [doi]
• ShARe/CLEFeHealth: A Hybrid Approach for Task 2Huu Nghia Huynh, Son Lam Vuand Bao Quoc Ho. 103-110 [doi]
• Optimizing Apache cTAKES for Disease/Disorder Template Filling: Team HITACHI in the ShARe/CLEF 2014 eHealth Evaluation LabNishikant Johri, Yoshiki Niwa, Veera Raghavendra Chikka. 111-123 [doi]
• CLEFeHealth 2014 Normalization of Information Extraction Challenge using Multi-model MethodYu-cheng Liu, Lun-Wei Ku. 124-132 [doi]
• Mining Disorder Attributes with Rules and Statistical LearningXiaohua Liu, XiaoJie Liu, Wei Shen, Jian-Yun Nie. 133-137 [doi]
• Deep Parsing at the CLEF2014 IE TaskTigran Mkrtchyan, Daniel Sonntag. 138-146 [doi]
• Disease Template Filling using the CTAKES YTEX Branch for ShareClef 2014 Task 2aJohn Osborne. 147-149 [doi]
• Cocoa: Extending a Rule-based System to Tag Disease Attributes in Clinical RecordsS. V. Ramanan, P. Senthil Nathan. 150-155 [doi]
• TeamUEvora at Clef eHealth 2014 Task2aJoão Sequeira, Nuno Miranda, Teresa Gonçalves, Paulo Quaresma. 156-166 [doi]
• Exploring Effective Information Retrieval Technique for the Medical Web Documents: SNUMedinfo at CLEFeHealth2014 Task 3Sungbin Choi, Jinwook Choi. 167-175 [doi]
• RePaLi Participation to CLEF eHealth IR Challenge 2014: Leveraging Term VariationVincent Claveau, Thierry Hamon, Natalia Grabar, Sébastien Le Maguer. 176-188 [doi]
• Query Expansion using External Resources for Improving Information Retrieval in the Biomedical DomainKhadim Dramé, Fleur Mougin, Gayo Diallo. 189-194 [doi]
• LABERINTO at ShARe/CLEF eHealth Evaluation Lab 2014Juan Manuel Cordoba Malagon, Manuel Maña López. 195-202 [doi]
• Miracl at Clef 2014 : eHealth Information Retrieval TaskKsentini Nesrine, Tmar Mohamed, Gargouri Faiez. 203-209 [doi]
• A Multiple-stage Approach to Re-ranking Clinical DocumentsHeung-Seon Oh, Yuchul Jung. 210-219 [doi]
• DEMIR at CLEF eHealth: The Effects of Selective Query Expansion to Information RetrievalOkan Ozturkmenoglu, Adil Alpkocak, Deniz Kilinç. 220-225 [doi]
• CUNI at the ShARe/CLEF eHealth Evaluation Lab 2014Shadi Saleh, Pavel Pecina. 226-235 [doi]
• An Investigation of the Effectiveness of Concept-based Approach in Medical Information RetrievalWei Shenwei, Jian-Yun Nie, Xiaohua Liu, XiaoJie Liu. 236-247 [doi]
• Team IRLabDAIICT at ShARe/CLEF eHealth 2014 Task 3: User-centered Information Retrieval System for Clinical DocumentsHarsh Thakkar, Ganesh Iyer, Kesha Shah, Prasenjit Majumder. 248-259 [doi]
• CSKU GPRF-QE for Medical Topic Web RetrievalOrnuma Thesprasith, Chuleerat Jaruskulchai. 260-268 [doi]
• A Language-modelling Approach to User-Centred Health Information RetrievalSuzan Verberne. 269-275 [doi]
• Task 3a: Team YORKUJiajin Wu, Jimmy Huang. 276-282 [doi]
• The University of Iowa at CLEF 2014: eHealth Task 3Chao Yang, Sanmitra Bhattacharya, Padmini Srinivasan. 283-295 [doi]
• Overview of the ImageCLEF 2014 Robot Vision TaskJesus Martinez-Gomez, Ismael García-Varea, Miguel Cazorla, Vicente Morell. 296-307 [doi]
• Overview of the ImageCLEF 2014 Scalable Concept Image Annotation TaskMauricio Villegas, Roberto Paredes. 308-328 [doi]
• ImageCLEF Liver CT Image Annotation Task 2014Neda Barzegar Marvasti, Nadin Kökciyan, Rüstü Türkay, Abdulkadir Yazici, Pinar Yolum, Suzan Üsküdarli, Burak Acar. 329-340 [doi]
• Overview of the ImageCLEF 2014 Domain Adaptation TaskBarbara Caputo, Novi Patricia. 341-347 [doi]
• CPPP/UFMS at ImageCLEF 2014: Robot Vision TaskRodrigo de Carvalho Gomes, Lucas Correia Ribas, Amaury Antônio de Castro Junior, Wesley Nunes Gonçalves. 348-354 [doi]
• NUDT's Participation in ImageCLEF Robot Vision Challenge 2014Yi Zhang, Jian Qin, Fanglin Chen, Dewen Hu. 355-359 [doi]
• DISA at ImageCLEF 2014: The Search-based Solution for Scalable Image AnnotationPetra Budíková, Jan Botorek, Michal Batko, Pavel Zezula. 360-371 [doi]
• MIL at ImageCLEF 2014: Scalable System for Image AnnotationAtsushi Kanehira, Masathosi Hidaka, Yusuke Makuta, Yuichiro Tsuchiya, Tetsuaki Mano, Tatsuya Harada. 372-379 [doi]
• Renmin University of China at ImageCLEF 2014 Scalable Concept Image AnnotationXirong Li, Xixi He, Gang Yang, Qin Jin, Jieping Xu. 380-385 [doi]
• KDEVIR at ImageCLEF 2014 Scalable Concept Image Annotation Task: Ontology based Automatic Image AnnotationIsmat Ara Reshma, Md Zia Ullah, Masaki Aono. 386-397 [doi]
• IPL at ImageCLEF 2014: Scalable Concept Image AnnotationSpyridon Stathopoulos, Theodore Kalamboukis. 398-403 [doi]
• MindLab at ImageCLEF 2014: Scalable Concept Image AnnotationJorge A. Vanegas, John E. Arevalo, Juan Sebastian Otálora Montenegro, Fabian Paez, Santiago A. Pérez-Rubiano, Fabio A. González. 404-410 [doi]
• MLIA at ImageCLFE 2014 Scalable Concept Image Annotation ChallengeXing Xu, Atsushi Shimada, Rin-ichiro Taniguchi. 411-420 [doi]
• Liver CT Annotation via Generalized Coupled Tensor FactorizationBeyza Ermis, Ali Taylan Cemgil, Neda Barzegar Marvasti, Burak Acar. 421-427 [doi]
• Automatic Annotation of Liver CT Images: the Submission of the BMET Group to ImageCLEFmed 2014Ashnil Kumar, Shane Dyer, ChangYang Li, Philip Leong, Jinman Kim. 428-437 [doi]
• Towards Content-Based Image Retrieval: From Computer Generated Features to Semantic Descriptions of Liver CT ScansAssaf Spanier, Leo Joskowicz. 438-447 [doi]
• Assembling Heterogeneous Domain Adaptation Methods for Image ClassificationBoris Chidlovskii, Gabriela Csurka, Shalini Gangwar. 448-461 [doi]
• Overview of the INEX 2014 Social Book Search TrackMarijn Koolen, Toine Bogers, Jaap Kamps, Gabriella Kazai, Michael Preminger. 462-479 [doi]
• Overview of the INEX 2014 Interactive Social Book Search TrackMark Michael Hall, Hugo C. Huurdeman, Marijn Koolen, Mette Skov, David Walsh. 480-493 [doi]
• Overview of INEX Tweet Contextualization 2014 trackPatrice Bellot, Véronique Moriceau, Josiane Mothe, Eric SanJuan, Xavier Tannier. 494-500 [doi]
• Collaborative Filtering for Book RecommandationChahinez Benkoussas, Hussam Hamdan, Shereen Albitar, Anaïs Ollagnier, Patrice Bellot. 501-507 [doi]
• A Methodology for Social Book SearchCarolyn J. Crouch, Donald B. Crouch, Lakshmi Lavanya Singampalli, Vamshi Krishna Thotempudi, Venkataravikiran Ravva. 508-513 [doi]
• LaHC at INEX 2014: Social Book Search TrackMeriem Hafsi, Mathias Géry, Michel Beigbeder. 514-520 [doi]
• Social Book Search Track: ISM@INEX'14 Suggestion TaskRitesh Kumar, Sukomal Pal. 521-524 [doi]
• Query Type Recognition and Result Filtering in INEX 2014 Social Book Search TrackShih-Hung Wu. 525-535 [doi]
• USTB at INEX2014: Social Book Search TrackBo-Wen Zhang, Xu-Cheng Yin, Xiao-Ping Cui, Jiao Qu, Bin Geng, Fang Zhou, Hong-Wei Hao. 536-542 [doi]
• Effective Metadata for Social Book Search from a User PerspectiveHugo C. Huurdeman, Jaap Kamps, Marijn Koolen. 543-548 [doi]
• The Edge Hill Contribution to the INEX Interactive Social Book Search TaskDavid Walsh, Mark Michael Hall. 549-556 [doi]
• IRIT at INEX 2014: Tweet Contextualization TracLiana Ermakova, Josiane Mothe. 557-564 [doi]
• Three Statistical Summarizers at CLEF-INEX 2013 Tweet Contextualization TrackJuan Manuel Torres Moreno. 565-573 [doi]
• INEX2014: Tweet Contextualization Using Association Rules between TermsMeriem Amina Zingla, Mohamed Ettaleb, Cherif Chiraz Latiri, Yahya Slimani. 574-584 [doi]
• LifeCLEF Bird Identication Task 2014Hervé Goëau, Hervé Glotin, Willem-Pier Vellinga, Robert Planquè, Andreas Rauber, Alexis Joly. 585-597 [doi]
• LifeCLEF Plant Identification Task 2014Alexis Joly, Hervé Goëau. 598-615 [doi]
• Overview of the LifeCLEF 2014 Fish TaskConcetto Spampinato, Simone Palazzo, Bas Boom, Robert B. Fisher. 616-624 [doi]
• Instance-based Bird Species Identification with Undiscriminant Features PruningAlexis Joly, Julien Champ, Olivier Buisson. 625-633 [doi]
• A Deep Neural Network Approach to the LifeCLEF 2014 Bird TaskHendrik Vincent Koops, Jan Van Balen, Frans Wiering. 634-642 [doi]
• Large-scale Identification of Birds in Audio RecordingsMario Lasseck. 643-653 [doi]
• Bird Classification using Ensemble ClassifiersYi Ren Leng, Jonathan William Dennis, Tran Huy Dat. 654-661 [doi]
• SVM Candidates and Sparse Representation for Bird IdentificationRodrigo Martinez, Laura-Silva, Toaki Esaú Villareal Olvera, Gibran Fuentes, Ivan Vladimir Meza Ruiz. 662-669 [doi]
• Participation of Group SCS to LifeCLEF Bird Identification Challenge 2014James Northcott. 670-672 [doi]
• Audio-only Bird Classification Using Unsupervised Feature LearningDan Stowell, Mark D. Plumbley. 673-684 [doi]
• Wlab of University of Szeged at ImageCLEF 2014 Plant Identification TaskAndrás Bánhalmi, Dénes Paczolay, Vilmos Bilicki, László Nyúl, Árpád Sárosi. 685-692 [doi]
• IBM Research Australia at LifeCLEF2014: Plant Identification TaskQiang Chen, Mani Abedini, Rahil Garnavi, Xi Liang. 693-704 [doi]
• Maestra at LifeCLEF 2014 Plant Task: Plant Identification using Visual DataIvica Dimitrovski, Gjorgji Madjarov, Dragi Kocev, Petre Lameski. 705-714 [doi]
• A Visual Search of Multimedia Documents in ImageCLEF 2014Sana Fakhfakh, Belhassen Akrout, Mohamed Tmar, Walid Mahdi. 715-723 [doi]
• PlantNet Participation at LifeCLEF2014 Plant Identification TaskHervé Goëau, Alexis Joly, Itheri Yahiaoui. 724-737 [doi]
• Plant Species Recognition using Bag-Of-Word with SVM Classifier in the Context of the LifeCLEF ChallengeMohamed Issolah, Diane Lingrand, Frédéric Precioso. 738-746 [doi]
• MIRACL at ImageCLEF 2014: Plant Identification TaskHanen Karamti, Sana Fakhfakh, Mohamed Tmar, Faïez Gargouri. 747-755 [doi]
• Fine-Grained Plant Classification Using Convolutional Neural Networks for Feature ExtractionNiko Sunderhauf, Chris McCool, Ben Upcroft, Tristan Perez. 756-762 [doi]
• Viewpoints Combined Classification Method in Image-based Plant Identification TaskGábor Szücs, Dávid Papp, Dániel Lovas. 763-770 [doi]
• Sabanci-Okan System at LifeCLEF 2014 Plant Identication CompetitionBerrin A. Yanikoglu, S. Tolga Yildiran, Caglar Tirkaz, Erchan Aptoula. 771-777 [doi]
• Fish Species Recognition from Video using SVM ClassifierKaty Blanc, Diane Lingrand, Frédéric Precioso. 778-784 [doi]
• Efficient Instance-based Fish Species Visual Identification by Global RepresentationPierre-Hugues Joalland, Sébastien Paris, Hervé Glotin. 785-789 [doi]
• NEWSREEL 2014: Summary of the News Recommendation Evaluation LabBenjamin Kille. 790-801 [doi]
• UNED @ CLEF-Newsreel 2014Angel Castellanos, Ana Garcia-Serrano, Juan Cigarran. 802-812 [doi]
• Optimizing and Evaluating Stream-based News Recommendation AlgorithmsSebastian Werner, Andreas Lommatzsch. 813-824 [doi]
• An Analysis of Recommender Algorithms for Online NewsDoychin Doychev, Aonghus Lawlor, Rachael Rafter. 825-836 [doi]
• InBeat: Recommender System as a ServiceJaroslav Kuchar, Tomás Kliegr. 837-844 [doi]
• Overview of the 6th International Competition on Plagiarism DetectionMartin Potthast, Matthias Hagen, Anna Beyer, Matthias Busse, Martin Tippmann, Paolo Rosso, Benno Stein. 845-876 [doi]
• Overview of the Author Identification Task at PAN 2014Efstathios Stamatatos, Walter Daelemans, Ben Verhoeven, Benno Stein, Martin Potthast, Patrick Juola, Miguel A. Sánchez-Pérez, Alberto Barrón-Cedeño. 877-897 [doi]
• Overview of the Author Profiling Task at PAN 2014Francisco M. Rangel Pardo, Paolo Rosso, Irina Chugur, Martin Potthast, Martin Trenkmann, Benno Stein, Ben Verhoeven, Walter Daelemans. 898-927 [doi]
• Expanded N-Grams for Semantic Text Alignment Notebook for PAN at CLEF 2014Samira Abnar, Mostafa Dehghani, Hamed Zamani, Azadeh Shakery. 928-938 [doi]
• Hashing and Merging Heuristics for Text Reuse DetectionFaisal Alvi, Mark Stevenson, Paul D. Clough. 939-946 [doi]
• Using Noun Phrases and Tf-idf for Plagiarized Document RetrievalVictoria Elizalde. 947-950 [doi]
• Evaluating Robustness for 'IPCRESS': Surrey's Text Alignment for Plagiarism DetectionLee Gillam, Scott Notley. 951-957 [doi]
• A Hybrid Architecture for Plagiarism DetectionDemetrios S. Glinos. 958-965 [doi]
• Plagiarism Alignment Detection by Merging Context SeedsPhilipp Gross, Pashutan Modaresi. 966-972 [doi]
• Source Retrieval Based on Learning to Rank and Text Alignment Based on Plagiarism Type Recognition for Plagiarism DetectionLeilei Kong, Yong Han, Zhongyuan Han, Haihao Yu, Qibo Wang, Tinglei Zhang, Haoliang Qi. 973-976 [doi]
• A Slightly-modified GI-based Author-verifier with Lots of Features (ASGALF)Mahmoud Khonji, Youssef Iraqi. 977-983 [doi]
• Developing High-resolution Universal Multy-type n-gram Text Similarity DetectorYurii Palkovskii, Alexei Belov. 984-989 [doi]
• Experiments on Document Chunking and Query Formation for Plagiarism Source RetrievalAmit Prakash, Sujan Kumar Saha. 990-996 [doi]
• CoReMo 2.3 Plagiarism Detector Text Alignment Module - Notebook for PAN at CLEF 2014Diego Antonio Rodriguez-Torrejon, José Manuel Martín Ramos. 997-1003 [doi]
• A Winning Approach to Text Alignment for Text Reuse Detection at PAN 2014Miguel A. Sanchez-Perez, Grigori Sidorov, Alexander F. Gelbukh. 1004-1011 [doi]
• Machine Translation Evaluation Metric for Text AlignmentPrasha Shrestha, Suraj Maharjan, Thamar Solorio. 1012-1016 [doi]
• Heterogeneous Queries for Synoptic and Phrasal SearchSimon Suchomel, Michal Brandejs. 1017-1020 [doi]
• Supervised Ranking for Plagiarism Source RetrievalKyle Williams, Hung-Hsuan Chen, C. Lee Giles. 1021-1026 [doi]
• Using Sentence Similarity Measure for Plagiarism Source RetrievalDenis Zubarev, Ilya Sochenkov. 1027-1034 [doi]
• Unsupervised Method for the Authorship Identification TaskEsteban Castillo, Ofelia Cervantes, Darnes Vilariño Ayala, David Pinto, Saul León. 1035-1041 [doi]
• UJM at CLEF in Author Identification Notebook for PAN at CLEF 2014Jordan Fréry, Christine Largeron, Mihaela Mathieu-Juganaru. 1042-1048 [doi]
• VEBAV - A Simple, Scalable and Fast Authorship Verification SchemeOren Halvani, Martin Steinebach. 1049-1062 [doi]
• Author Verification using PPM with Parts of Speech TaggingSarah Harvey. 1063-1068 [doi]
• Ensembles of Proximity-Based One-Class Classifiers for Author Verification Notebook for PAN at CLEF 2014Magdalena Jankowska, Vlado Keselj, Evangelos E. Milios. 1069-1072 [doi]
• A Simple Local n-gram Ensemble for Authorship VerificationRobert Layton. 1073-1078 [doi]
• A Single Author Style Representation for the Author Verification TaskCristhian Mayor, Josué Gerardo Gutiérrez Hernández, Angel Israel Toledo Castro, Rodrigo Martinez, Paola Ledesma, Gibran Fuentes, Ivan Vladimir Meza Ruiz. 1079-1083 [doi]
• A Language Independent Author Verifier Using Fuzzy C-Means ClusteringPashutan Modaresi, Philipp Gross. 1084-1091 [doi]
• Author Verification: Exploring a Large set of Parameters using a Genetic Algorithm - Notebook for PAN at CLEF 2014Erwan Moreau, Arun Jayapal, Carl Vogel. 1092-1103 [doi]
• A Trinity of Trials: Surrey's 2014 Attempts at Author VerificationAnna Vartapetiance, Lee Gillam. 1104-1109 [doi]
• Proof of Concept Framework for PredictionChristopher Baker. 1110-1115 [doi]
• Using Intra-Profile Information for Author ProfilingAdrián Pastor López-Monroy, Manuel Montes-y-Gómez, Hugo Jair Escalante, Luis Villaseñor Pineda. 1116-1120 [doi]
• A Simple Approach to Author Profiling in MapReduceSuraj Maharjan, Prasha Shrestha, Thamar Solorio. 1121-1128 [doi]
• Age and Gender Identification in Social MediaJames Marquardt, Golnoosh Farnadi, Gayathri Vasudevan, Marie-Francine Moens, Sergio Davalos, Ankur Teredesai, Martine De Cock. 1129-1136 [doi]
• Machine Learning for Classifying Authors of Anonymous Tweets, Blogs and ReviewsSeifeddine Mechti, Maher Jaoua, Lamia Hadrich Belguith. 1137-1142 [doi]
• A Statistical Analysis Approach to Author Identification Using Latent Semantic AnalysisSatyam, Anand, Arnav Kumar Dawn, Sujan Kumar Saha. 1143-1147 [doi]
• Ensemble Learning Approach for Author ProfilingSurendran K, Gilad Gressel, Thara S, Hrudya P, Aravind Ashok, Prabaharan Poornachandran. 1148-1156 [doi]
• DAEDALUS at PAN 2014: Guessing Tweet Author's Gender and AgeJulio Villena-Román, José Carlos González Cristóbal. 1157-1163 [doi]
• Exploring Information Retrieval Features for Author ProfilingEdson Weren, Viviane Pereira Moreira, José Palazzo M. de Oliveira. 1164-1171 [doi]
• Question Answering over Linked Data (QALD-4)Christina Unger, Corina Forascu, Vanessa Lopez, Axel-Cyrille Ngonga Ngomo, Elena Cabrio, Philipp Cimiano, Sebastian Walter. 1172-1180 [doi]
• Results of the BioASQ Track of the Question Answering Lab at CLEF 2014Georgios Balikas, Ioannis Partalas, Axel-Cyrille Ngonga Ngomo, Anastasia Krithara, Georgios Paliouras. 1181-1193 [doi]
• Overview of CLEF QA Entrance Exams Task 2014Anselmo Peñas, Yusuke Miyao, Alvaro Rodrigo, Eduard H. Hovy, Noriko Kando. 1194-1200 [doi]
• Answering Natural Language Questions with Intui3Corina Dima. 1201-1211 [doi]
• Description of the POMELO System for the Task 2 of QALD-2014Thierry Hamon, Natalia Grabar, Fleur Mougin, Frantz Thiessard. 1212-1223 [doi]
• GFMed: Question Answering over BioMedical Linked Data with Grammatical FrameworkAnca Marginean. 1224-1235 [doi]
• ISOFT at QALD-4: Semantic Similarity-based Question Answering System over Linked DataSeonyeong Park, Hyosup Shim, Gary Geunbae Lee. 1236-1248 [doi]
• CASIA@V2: A MLN-based Question Answering System over Linked DataShizhu He, Yuanzhe Zhang, Kang Liu, Jun Zhao 0001. 1249-1259 [doi]
• Answering Natural Language Questions via Phrasal Semantic ParsingKun Xu, Yansong Feng, Dongyan Zhao. 1260-1274 [doi]
• Automatic Classification of PubMed Abstracts with Latent Semantic Indexing: Working NotesJoel Adams, Steven Bedrick. 1275-1282 [doi]
• Classification and Retrieval of Biomedical Literatures: SNUMedinfo at CLEF QA track BioASQ 2014Sungbin Choi, Jinwook Choi. 1283-1295 [doi]
• UMass at BioASQ 2014: Figure-inspired Text RetrievalJesse Lingeman, Laura Dietz. 1296-1310 [doi]
• The Fudan-UIUC Participation in the BioASQ Challenge Task 2a: The Antinomyra systemKe Liu, Junqiu Wu, Shengwen Peng, Chenxiang Zhai, Shanfeng Zhu. 1311-1318 [doi]
• NCBI at the 2014 BioASQ Challenge Task: Large-scale Biomedical Semantic Indexing and Question AnsweringYuqing Mao, Chih-Hsuan Wei, Zhiyong Lu. 1319-1327 [doi]
• Recent Enhancements to the NLM Medical Text IndexerJames G. Mork, Dina Demner-Fushman, Susan Schmidt, Alan R. Aronson. 1328-1336 [doi]
• HPI in-memory-based Database System in Task 2b of BioASQMariana Neves. 1337-1347 [doi]
• Ensemble Approaches for Large-Scale Multi-Label Classification and Question Answering in BiomedicineYannis Papanikolaou, Dimitrios Dimitriadis, Grigorios Tsoumakas, Manos Laliotis, Nikos Markantonatos, Ioannis P. Vlahavas. 1348-1360 [doi]
• CoLe and UTAI Participation at the 2014 BioASQ Semantic Indexing ChallengeFrancisco J. Ribadas-Pena, Luis M. de Campos Ibañez, Victor Manuel Darriba Bilbao, Alfonso E. Romero. 1361-1374 [doi]
• Solving Open-Domain Multiple Choice Questions with Textual Entailment and Text Similarity MeasuresNeil Dhruva, Oliver Ferschke, Iryna Gurevych. 1375-1385 [doi]
• LIMSI-CNRS@CLEF 2014: Invalidating Answers for Multiple Choice Question AnsweringMartin Gleize, Anne-Laure Ligozat, Brigitte Grau. 1386-1394 [doi]
• Graph Based Approach for the Question Answering Task Based on Entrance ExamsHelena Gómez-Adorno, Grigori Sidorov, David Pinto, Alexander F. Gelbukh. 1395-1403 [doi]
• English Run of Synapse Développement at Entrance Exams 2014Dominique Laurent, Baptiste Chardon, Sophie Negre, Patrick Seguela. 1404-1414 [doi]
• French Run of Synapse Développement at Entrance Exams 2014Dominique Laurent, Baptiste Chardon, Sophie Negre. 1415-1426 [doi]
• CSGS: Adapting a Short Answer Scoring System for Multiple-choice Reading Comprehension ExercisesSimon Ostermann, Nikolina Koleva, Alexis Palmer, Andrea Horbach. 1427-1437 [doi]
• Overview of RepLab 2014: Author Profiling and Reputation Dimensions for Online Reputation ManagementEnrique Amigó, Jorge Carrillo-de-Albornoz, Irina Chugur, Adolfo Corujo, Julio Gonzalo, Edgar Meij, Damiano Spina. 1438-1457 [doi]
• LIA@Replab 2014Jean-Valère Cossu, Janod Killian, Emmanuel Ferreira, Julien Gaillard, Marc El-Bèze. 1458-1467 [doi]
• LyS at CLEF RepLab 2014: Creating the State of the Art in Author Influence Ranking and Reputation Classification on TwitterDavid Vilares, Miguel Hermo, Miguel A. Alonso, Carlos Gómez-Rodríguez, Jesus Vilares. 1468-1478 [doi]
• Feature Selection and Data Sampling Methods for Learning Reputation DimensionsCristina Garbacea, Manos Tsagkias, Maarten de Rijke. 1479-1490 [doi]
• Instance-based Learning for Tweet Categorization in CLEF RepLab 2014Julien Gobeill, Arnaud Gaudinat, Patrick Ruch. 1491-1499 [doi]
• University of Glasgow Terrier Team / Project Abacá at RepLab 2014: Reputation Dimensions TaskGraham McDonald, Romain Deveaud, Richard McCreadie, Timothy Gollins, Craig Macdonald, Iadh Ounis. 1500-1504 [doi]
• DAEDALUS at RepLab 2014: Detecting RepTrak Reputation Dimensions on TweetsCésar de Pablo-Sánchez, Janine García-Morera, Julio Villena-Román, José Carlos González Cristóbal. 1505-1511 [doi]
• CIRGIRGDISCO at RepLab2014 Reputation Dimension Task: Using Wikipedia Graph Structure for Classifying the Reputation Dimension of a TweetMuhammad Atif Qureshi 0001, Arjumand Younus, Colm O'Riordan, Gabriella Pasi. 1512-1518 [doi]
• STAVICTA Group Report for RepLab 2014 Reputation Dimension TaskAfshin Rahimi, Magnus Sahlgren, Andreas Kerren, Carita Paradis. 1519-1527 [doi]
• University of Tehran at RepLab 2014Abolfazl AleAhmad, Payam Karisani, Masoud Rahgozar, Farhad Oroumchian. 1528-1536 [doi]
• UNED at CLEf RepLab: Author ProfilingJacinto Jesús Mena Lomeña, Fernando López Osterno. 1537-1546 [doi]
• UAMCLyR at RepLab 2014: Author Profiling TaskEsaú Villatoro-Tello, Gabriela Ramírez-de-la-Rosa, Christian Sánchez-Sánchez, Héctor Jiménez-Salazar, Wulfrano Arturo Luna-Ramírez, Carlos Rodríguez-Lucatero. 1547-1558 [doi]