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[null,null,"Titolo",null,"Experimental IR Meets Multilinguality, Multimodality, and Interaction : 6th International Conference of the CLEF Association, CLEF'15, Toulouse, France, September 8-11, 2015, Proceedings / / edited by Josanne Mothe, Jacques Savoy, Jaap Kamps, Karen Pinel-Sauvagnat, Gareth Jones, Eric San Juan, Linda Capellato, Nicola Ferro"]
[null,null,"Pubbl/distr/stampa",null,"Cham : , : Springer International Publishing : , : Imprint : Springer, , 2015"]
[null,null,"ISBN",null,"9783319240275"]
[{"$nulls":4},"3319240277"]
[null,null,"Edizione",null,"[1st ed. 2015.]"]
[null,null,"Descrizione fisica",null,"1 online resource (XXIII, 567 p. 110 illus. in color.)"]
[null,null,"Collana",null,"Information Systems and Applications, incl. Internet/Web, and HCI, , 2946-1642 ; ; 9283"]
[null,null,"Disciplina",null,"006.35"]
[null,null,"Soggetti",null,"Natural language processing (Computer science)"]
[{"$nulls":4},"Artificial intelligence"]
[{"$nulls":4},"Information storage and retrieval systems"]
[{"$nulls":4},"Application software"]
[{"$nulls":4},"User interfaces (Computer systems)"]
[{"$nulls":4},"Human-computer interaction"]
[{"$nulls":4},"Computational linguistics"]
[{"$nulls":4},"Natural Language Processing (NLP)"]
[{"$nulls":4},"Artificial Intelligence"]
[{"$nulls":4},"Information Storage and Retrieval"]
[{"$nulls":4},"Computer and Information Systems Applications"]
[{"$nulls":4},"User Interfaces and Human Computer Interaction"]
[{"$nulls":4},"Computational Linguistics"]
[null,null,"Lingua di pubblicazione",null,"Inglese"]
[null,null,"Formato",null,"Materiale a stampa"]
[null,null,null,"Livello bibliografico","Monografia"]
[null,null,null,"Note generali","Bibliographic Level Mode of Issuance: Monograph"]
[null,null,null,"Nota di bibliografia","Includes bibliographical references and index."]
[null,null,"Nota di contenuto",null,"Intro -- Preface -- Organization -- Keynotes -- Personal Information Systemsand Personal Semantics -- Evaluating the Search Experience:From Retrieval Effectiveness to User Engagement -- Beyond Information Retrieval:When and How Not to Find Things -- Contents -- Experimental IR -- Experimental Study on Semi-structured Peer-to-Peer Information Retrieval Network -- 1 Introduction -- 2 Related Work -- 3 Experimental Methodology -- 3.1 Testbeds and Queries -- 3.2 "]
[{"$nulls":4},"Retrieval Process and Evaluation -- 4 Retrieval Effectiveness of Semi-structured P2PIR Systems -- 4.1 Centralised System -- 4.2 Semi-structured P2PIR Architecture -- 5 Retrieval Models in Semi-structured System -- 6 The Resource Selection Methods on Semi-structured P2PIR Systems -- 6.1 Message Complexity -- 6.2 Retrieval Effectiveness -- 7 Conclusion -- References -- Evaluating Stacked Marginalised Denoising Autoencoders Within Domain Adaptation Methods -- 1 Introduction -- 2 Domain Adaptation Problem and Methods -- 2.1 Stacked Marginalized Denoising Autoencoders -- 3 Datasets and Evaluation Framework -- 4 Evaluation Results -- 4.1 Comparing sMDAs to Other Domain Adaptation Approaches -- 5 Conclusion -- References -- Language Variety Identification Using Distributed Representations of Words and Documents -- 1 Introduction -- 2 Related Work -- 3 Continuous Skip-Gram Model -- 3.1 Learning Sentence Vectors -- 3.2 Classification Using Distributed Representations -- 4 Alternative Methods for Language Variety Identification -- 4.1 Information Gain Word-Patterns -- 4.2 Emotion-labeled Graphs -- 5 Evaluation -- 6 Conclusions -- References -- Evaluating User Image Tagging Credibility -- 1 Introduction -- 2 A Multi-Topic Tagging Credibility Dataset (MTTCred) -- 2.1 User Credibility Dataset Design -- 2.2 Dataset Creation -- 2.3 Dataset Statistics -- 2.4 Deriving a Ground Truth Credibility Score."]
[{"$nulls":4},"3 User Credibility Features -- 4 Problem Definition -- 4.1 Data Exploration -- 4.2 User Classification Experiments -- 4.3 Credible Users Retrieval Experiments -- 5 Conclusions and Future Work -- References -- Web and Social Media -- Tweet Expansion Method for Filtering Task in Twitter -- 1 Introduction -- 2 Filtering Method -- 2.1 Overview -- 2.2 Expansion Steps -- 3 Experimental Results -- 3.1 Experimental Setup -- 3.2 Results -- 3.3 Discussion -- 4 Conclusion and Future Work -- References -- Real-Time Entity-Based Event Detection for Twitter -- 1 Introduction -- 2 Background -- 2.1 Named Entities in Events and Twitter -- 3 Entity-Based Event Detection -- 3.1 Pre-processing -- 3.2 Clustering -- 3.3 Burst Detection -- 3.4 Cluster Identification -- 3.5 Event Merging -- 4 Experimentation -- 5 Results and Discussion -- 5.1 Effect of Named Entities -- 5.2 Nouns, Verbs, Hashtags and Retweets -- 5.3 Evaluation Measures -- 6 Conclusion -- References -- A Comparative Study of Click Models for Web Search -- 1 Introduction -- 2 Click Models -- 3 Evaluation Measures -- 4 Experimental Setup -- 5 Results -- 6 Conclusion -- References -- Evaluation of Pseudo Relevance Feedback Techniques for Cross Vertical Aggregated Search -- 1 Introduction -- 2 System Overview -- 3 System Details -- 3.1 Query Reformulation -- 3.2 Source Specific Query Reformulation -- 3.3 Result Aggregation -- 4 Evaluation -- 5 Results -- 5.1 Qualitative Evaluation -- 5.2 Quantitative Evaluation -- 5.3 Evaluation Guideline -- 6 Conclusions and Future Work -- References -- Long Papers with Short Presentation -- Analysing the Role of Representation Choices in Portuguese Relation Extraction -- 1 Introduction -- 2 Related Work -- 3 Data Annotation -- 4 Method -- 4.1 Conditional Random Field Model -- 4.2 Representation -- 4.3 Features -- 5 Evaluation -- 5.1 Analysis and Discussion -- 6 Conclusions."]
[{"$nulls":4},"References -- An Investigation of Cross-Language Information Retrieval for User-Generated Internet Video -- 1 Introduction -- 2 Related Work -- 3 Experimental Test Set and Evaluation -- 3.1 Query Construction for the CLIR Task -- 4 CLIR Using Single Field Indexes -- 5 CLIR Using Combined Metadata Fields -- 6 Conclusions and Further Research -- References -- Benchmark of Rule-Based Classifiers in the News Recommendation Task -- 1 Introduction -- 2 On-line Task: "]
[{"$nulls":4},"Setup and Results -- 2.1 Algorithms -- 2.2 Performance -- 3 Off-line Task: Setup and Results -- 3.1 Data and Task -- 3.2 Algorithms -- Association Rule Classifiers. -- Rule Learning (Baseline). -- Decision Trees. -- 3.3 Experimental Evaluation -- Trading Speed for Accuracy. -- Optimizing CBA. -- 4 Conclusion and Future Work -- References -- Enhancing Medical Information Retrieval by Exploiting a Content-Based Recommender Method -- 1 Introduction -- 2 Framework of the Integrated IR Model -- 2.1 Background to Recommender Systems Applications -- 2.2 Combining Information Retrieval and Recommender Systems -- 3 Experimental Test Collection -- 3.1 Query Set -- 3.2 Click-Through Data -- 3.3 Document Collection -- 3.4 Query Relevance Data -- 4 Experimental Investigation -- 4.1 Information Retrieval Component -- 4.2 Recommender Component -- 4.3 Combination of Results -- 4.4 Experimental Results -- 5 Conclusions and Further Investigations -- References -- Summarizing Citation Contexts of Scientific Publications -- 1 Introduction -- 2 Related Work -- 3 Materials and Methods -- 3.1 Data and Tools -- 3.2 Suggested Approach -- 3.3 Text Summarization -- 4 Experimental Results -- 5 Discussion and Conclusions -- References -- A Multiple-Stage Approach to Re-ranking Medical Documents -- 1 Introduction -- 2 Related Work -- 3 Methods -- 4 Experiments -- 4.1 Data -- 4.2 Evaluation Settings -- 4.3 Results."]
[{"$nulls":4},"5 Conclusion -- References -- Exploring Behavioral Dimensions in Session Effectiveness -- 1 Introduction -- 2 Prior Studies on IR Simulation -- 3 The Session Sim mulator -- 3.1 Simulator Definitio on -- 3.2 A Simulation Step -- 4 Study Design -- 4.1 Research Questions -- 4.2 Test Collection and Search Engine -- 4.3 Search Goals, Gains and Cost Constraints -- 4.4 Query Formulation Strategies -- 4.5 Snippet Scanning and Stopping Behavior -- 4.6 Relevance Related Behavior -- 4.7 Session Generation -- 5 Experimental Results -- 6 Summary -- References -- Short Papers -- META TEXT ALIGNER: Text Alignment Based on Predicted Plagiarism Relation -- 1 Introduction -- 2 META TEXT ALIGNER -- 2.1 Predicting the Plagiarism Type -- 2.2 Using Predicted Plagiarism Type to Improve Text Alignment's Performance -- 3 Experiments and Analysis -- 4 Conclusion and Future Works -- References -- Automatic Indexing of Journal Abstracts with Latent Semantic Analysis -- 1 Introduction -- 2 Background -- 2.1 MeSH Hierarchy -- 2.2 PubMed Annotation -- 3 Method -- 3.1 Data -- 3.2 Latent Semantic Analysis -- 3.3 Choosing Closest Neighbors -- 3.4 MeSH Tag Scoring and Selection -- 3.5 Additional Ranking Experiments and Learning-to-Rank -- 4 Results and Discussion -- 5 Conclusions -- References -- Shadow Answers as an Intermediary in Email Answer Retrieval -- 1 Introduction -- 2 Shadow Answer -- 3 Experiment Data -- 4 Experiment Process -- 5 Experiment Results -- 6 Conclusions -- References -- Are Topically Diverse Documents Also Interesting? -- 1 Introduction -- 2 Methods -- Measuring Debates' Topical Diversity. -- Measuring Debate's Interestingness. -- Correlation of Debates' Topical Diversity and Interestingness. -- 3 Analysis -- 3.1 Datasets and Experimental Setup -- 3.2 Results -- Measuring Topical Diversity of Debates. -- Measuring Interestingness of Debates."]
[{"$nulls":4},"The Correlation Between Interestingness and Diversity. -- 4 Conclusion -- References -- Modeling of the Question Answering Task in the YodaQA System -- 1 Introduction -- 2 Question Answering Approaches -- 3 Benchmarking -- 4 YodaQA Question Answering System -- 4.1 System Architecture -- 4.2 Reference Baseline -- 4.3 System Performance -- 5 Conclusion and Future Work -- 5.1 Benchmarking -- References -- Unfair Means: Use Cases Beyond Plagiarism -- 1 Introduction -- 2 Related Work -- 2.1 Types of Plagiarism -- 2.2 "]
[{"$nulls":4},"Plagiarism Detection -- 3 Types of Unfair Means Problems -- 3.1 Review of University Guidelines -- 3.2 Interviews with Staff in the University of Sheffield -- 4 Discussion -- 5 Summary -- References -- Instance-Based Learning for Tweet Monitoring and Categorization -- 1 Introduction -- 2 Methods -- 2.1 Overall Architectur re of the System -- 2.2 Preprocessing -- 2.3 Indexing -- 2.4 k-NN -- 3 Results and Discussions -- 3.1 Q1: Is It Better to Build One KB for Each Domain, or to Merge Automotive and Banking into the Same KB ? -- 3.2 Q2: Is It Better to Build one KB for Each Language, or to Merge English and Spanish into the Same KB ? -- 4 Conclusion -- References -- Are Test Collections ``Real\"? Mirroring Real-World Complexity in IR Test Collections -- 1 Introduction -- 2 Status Quo and Related Work -- 3 Modality Categorization -- 4 Building Complex Collections -- 5 Conclusions -- References -- Evaluation of Manual Query Expansion Rules on a Domain Specific FAQ Collection -- 1 Introduction -- 2 Related Work -- 3 Test Collection -- 4 Methodology -- 4.1 Retrieval Models -- 4.2 Query Expansion Rules -- 5 Evaluation -- 5.1 QE Rules Accuracy -- 5.2 Retrieval Evaluation -- 6 Conclusion -- References -- Evaluating Learning Language Representations -- 1 Introduction and Motivation -- 2 Testing Outcome Versus Process."]
[{"$nulls":4},"3 Existing Tests for Human Language Learning."]
[null,null,null,"Sommario/riassunto","This book constitutes the refereed proceedings of the 6th International Conference of the CLEF Initiative, CLEF 2015, held in Toulouse, France, in September 2015. The 31 full papers and 20 short papers presented were carefully reviewed and selected from 68 submissions. They cover a broad range of issues in the fields of multilingual and multimodal information access evaluation, also included are a set of labs and workshops designed to test different aspects of mono and cross-language information retrieval systems."]