ISBN-10:
3642044468
ISBN-13:
9783642044465
Pub. Date:
10/23/2009
Publisher:
Springer Berlin Heidelberg
Evaluating Systems for Multilingual and Multimodal Information Access: 9th Workshop of the Cross-Language Evaluation Forum, CLEF 2008, Aarhus, Denmark, September 17-19, 2008, Revised Selected Papers / Edition 1

Evaluating Systems for Multilingual and Multimodal Information Access: 9th Workshop of the Cross-Language Evaluation Forum, CLEF 2008, Aarhus, Denmark, September 17-19, 2008, Revised Selected Papers / Edition 1

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Product Details

ISBN-13: 9783642044465
Publisher: Springer Berlin Heidelberg
Publication date: 10/23/2009
Series: Lecture Notes in Computer Science , #5706
Edition description: 2009
Pages: 1002
Product dimensions: 6.10(w) x 9.25(h) x 0.06(d)

Table of Contents

What Happened in CLEF 2008.- What Happened in CLEF 2008.- I: Multilingual Textual Document Retrieval (Ad Hoc).- CLEF 2008: Ad Hoc Track Overview.- TEL@CLEF.- Logistic Regression for Metadata: Cheshire Takes on Adhoc-TEL.- Query Expansion via Library Classification System.- Experiments on a Multinomial Language Model versus Lucene’s Off-the-Shelf Ranking Scheme and Rocchio Query Expansion (TEL@CLEF Monolingual Task).- WikiTranslate: Query Translation for Cross-Lingual Information Retrieval Using Only Wikipedia.- UFRGS@CLEF2008: Using Association Rules for Cross-Language Information Retrieval.- CLEF 2008 Ad-Hoc Track: Comparing and Combining Different IR Approaches.- Multi-language Models and Meta-dictionary Adaptation for Accessing Multilingual Digital Libraries.- Persian@CLEF.- Improving Persian Information Retrieval Systems Using Stemming and Part of Speech Tagging.- Fusion of Retrieval Models at CLEF 2008 Ad Hoc Persian Track.- Cross Language Experiments at Persian@CLEF 2008.- Robust-WSD.- Evaluating Word Sense Disambiguation Tools for Information Retrieval Task.- IXA at CLEF 2008 Robust-WSD Task: Using Word Sense Disambiguation for (Cross Lingual) Information Retrieval.- SENSE: SEmantic N-levels Search Engine at CLEF2008 Ad Hoc Robust-WSD Track.- IR-n in the CLEF Robust WSD Task 2008.- Query Clauses and Term Independence.- Analysis of Word Sense Disambiguation-Based Information Retrieval.- Crosslanguage Retrieval Based on Wikipedia Statistics.- Ad Hoc Mixed: TEL and Persian.- Sampling Precision to Depth 10000 at CLEF 2008.- JHU Ad Hoc Experiments at CLEF 2008.- UniNE at CLEF 2008: TEL, and Persian IR.- II: Mono- and Cross-Language Scientific Data Retrieval (Domain-Specific).- The Domain-Specific Track at CLEF 2008.- UniNE at Domain-Specific IR - CLEF 2008.- Back to Basics – Again – for Domain-Specific Retrieval.- Concept Models for Domain-Specific Search.- The Xtrieval Framework at CLEF 2008: Domain-Specific Track.- Using Wikipedia and Wiktionary in Domain-Specific Information Retrieval.- III: Interactive Cross-Language Retrieval (iCLEF).- Overview of iCLEF 2008: Search Log Analysis for Multilingual Image Retrieval.- Log Analysis of Multilingual Image Searches in Flickr.- Cross-Lingual Image Retrieval Interactions Based on a Game Competition.- A Study of Users’ Image Seeking Behaviour in FlickLing.- SICS at iCLEF 2008: User Confidence and Satisfaction Tentatively Inferred from iCLEF Logs.- IV: Multiple Language Question Answering (QA@CLEF).- Overview of the Clef 2008 Multilingual Question Answering Track.- Overview of the Answer Validation Exercise 2008.- Overview of QAST 2008.- Mono and Bilingual QA.- Assessing the Impact of Thesaurus-Based Expansion Techniques in QA-Centric IR.- Using AliQAn in Monolingual QA@CLEF 2008.- Priberam’s Question Answering System in QA@CLEF 2008.- IdSay: Question Answering for Portuguese.- Dublin City University at QA@CLEF 2008.- Using Answer Retrieval Patterns to Answer Portuguese Questions.- Ihardetsi: A Basque Question Answering System at QA@CLEF 2008.- Question Interpretation in QA@L2F.- UAIC Participation at QA@CLEF2008.- RACAI’s QA System at the Romanian–Romanian QA@CLEF2008 Main Task.- Combining Logic and Machine Learning for Answering Questions.- The MIRACLE Team at the CLEF 2008 Multilingual Question Answering Track.- Efficient Question Answering with Question Decomposition and Multiple Answer Streams.- DFKI-LT at QA@CLEF 2008.- Integrating Logic Forms and Anaphora Resolution in the AliQAn System.- Some Experiments in Question Answering with a Disambiguated Document Collection.- Answer Validation Exercise (AVE).- Answer Validation on English and Romanian Languages.- The Answer Validation System ProdicosAV Dedicated to French.- Studying the Influence of Semantic Constraints in AVE.- RAVE: A Fast Logic-Based Answer Validator.- Information Synthesis for Answer Validation.- Analyzing the Use of Non-overlap Features for Supervised Answer Validation.- Question Answering on Script Transcription (QAST).- The LIMSI Multilingual, Multitask QAst System.- IBQAst: A Question Answering System for Text Transcriptions.- Robust Question Answering for Speech Transcripts: UPC Experience in QAst 2008.- V: Cross-Language Retrieval in Image Collections (ImageCLEF).- Overview of the ImageCLEFphoto 2008 Photographic Retrieval Task.- Overview of the ImageCLEFmed 2008 Medical Image Retrieval Task.- Medical Image Annotation in ImageCLEF 2008.- The Visual Concept Detection Task in ImageCLEF 2008.- Overview of the WikipediaMM Task at ImageCLEF 2008.- ImageCLEFphoto.- Meiji University at ImageCLEF2008 Photo Retrieval Task: Evaluation of Image Retrieval Methods Integrating Different Media.- Building a Diversity Featured Search System by Fusing Existing Tools.- Some Results Using Different Approaches to Merge Visual and Text-Based Features in CLEF’08 Photo Collection.- MIRACLE-GSI at ImageCLEFphoto 2008: Different Strategies for Automatic Topic Expansion.- Using Visual Concepts and Fast Visual Diversity to Improve Image Retrieval.- A Comparative Study of Diversity Methods for Hybrid Text and Image Retrieval Approaches.- University of Jaén at ImagePhoto 2008: Filtering the Results with the Cluster Term.- Combining TEXT-MESS Systems at ImageCLEF 2008.- Image Retrieval by Inter-media Fusion and Pseudo-relevance Feedback.- Increasing Precision and Diversity in Photo Retrieval by Result Fusion.- Diversity in Image Retrieval: DCU at ImageCLEFPhoto 2008.- Visual Affinity Propagation Improves Sub-topics Diversity without Loss of Precision in Web Photo Retrieval.- Exploiting Term Co-occurrence for Enhancing Automated Image Annotation.- Enhancing Visual Concept Detection by a Novel Matrix Modular Scheme on SVM.- SZTAKI @ ImageCLEF 2008: Visual Feature Analysis in Segmented Images.- THESEUS Meets ImageCLEF: Combining Evaluation Strategies for a New Visual Concept Detection Task 2009.- Query Types and Visual Concept-Based Post-retrieval Clustering.- Annotation-Based Expansion and Late Fusion of Mixed Methods for Multimedia Image Retrieval.- Evaluation of Diversity-Focused Strategies for Multimedia Retrieval.- Clustering for Photo Retrieval at Image CLEF 2008.- ImageCLEFmed.- Methods for Combining Content-Based and Textual-Based Approaches in Medical Image Retrieval.- An SVM Confidence-Based Approach to Medical Image Annotation.- LIG at ImageCLEF 2008.- The MedGIFT Group at ImageCLEF 2008.- MIRACLE at ImageCLEFmed 2008: Semantic vs. Statistical Strategies for Topic Expansion.- Experiments in Calibration and Validation for Medical Content-Based Images Retrieval.- MIRACLE at ImageCLEFannot 2008: Nearest Neighbour Classification of Image Feature Vectors for Medical Image Annotation.- Query Expansion on Medical Image Retrieval: MeSH vs. UMLS.- Query and Document Expansion with Medical Subject Headings Terms at Medical Imageclef 2008.- Multimodal Medical Image Retrieval OHSU at ImageCLEF 2008.- Baseline Results for the ImageCLEF 2008 Medical Automatic Annotation Task in Comparison over the Years.- ImageCLEFWiki.- Evaluating the Impact of Image Names in Context-Based Image Retrieval.- Large-Scale Cross-Media Retrieval of WikipediaMM Images with Textual and Visual Query Expansion.- Conceptual Image Retrieval over a Large Scale Database.- UJM at ImageCLEFwiki 2008.- VI: Multilingual Web Track (WebCLEF).- Overview of WebCLEF 2008.- On the Evaluation of Snippet Selection for WebCLEF.- UNED at WebCLEF 2008: Applying High Restrictive Summarization, Low Restrictive Information Retrieval and Multilingual Techniques.- Retrieval of Snippets of Web Pages Converted to Plain Text. More Questions Than Answers.- VII: Cross-Language Geographical Retrieval (GeoCLEF).- GeoCLEF 2008: The CLEF 2008 Cross-Language Geographic Information Retrieval Track Overview.- GIR with Language Modeling and DFR Using Terrier.- Cheshire at GeoCLEF 2008: Text and Fusion Approaches for GIR.- Geographic and Textual Data Fusion in Forostar.- Query Expansion for Effective Geographic Information Retrieval.- Integrating Methods from IR and QA for Geographic Information Retrieval.- Using Query Reformulation and Keywords in the Geographic Information Retrieval Task.- Using GeoWordNet for Geographical Information Retrieval.- GeoTextMESS: Result Fusion with Fuzzy Borda Ranking in Geographical Information Retrieval.- A Ranking Approach Based on Example Texts for Geographic Information Retrieval.- Ontology-Based Query Construction for GeoCLEF.- Experiments with Geographic Evidence Extracted from Documents.- GikiP at GeoCLEF 2008: Joining GIR and QA Forces for Querying Wikipedia.- VIII: Cross-Language Video Retrieval (VideoCLEF).- Overview of VideoCLEF 2008: Automatic Generation of Topic-Based Feeds for Dual Language Audio-Visual Content.- MIRACLE at VideoCLEF 2008: Topic Identification and Keyframe Extraction in Dual Language Videos.- DCU at VideoClef 2008.- Using an Information Retrieval System for Video Classification.- VideoCLEF 2008: ASR Classification with Wikipedia Categories.- Metadata and Multilinguality in Video Classification.- IX: Multilingual Information Filtering (INFILE@CLEF).- Overview of CLEF 2008 INFILE Pilot Track.- Online Document Filtering Using Adaptive k-NN.- X: Morpho Challenge at CLEF 2008.- Overview of Morpho Challenge 2008.- ParaMor and Morpho Challenge 2008.- Allomorfessor: Towards Unsupervised Morpheme Analysis.- Using Unsupervised Paradigm Acquisition for Prefixes.- Morpho Challenge Evaluation by Information Retrieval Experiments.

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