Advances in Multilingual and Multimodal Information Retrieval

What Happened in CLEF 2007.- I: Multilingual Textual Document Retrieval (Ad Hoc).- CLEF 2007: Ad Hoc Track Overview.- Charles University at CLEF 2007 Ad-Hoc Track.- Stemming Approaches for East European Languages.- Applying Query Expansion Techniques to Ad Hoc Monolingual Tasks with the IR-n System.- Bulgarian, Hungarian and Czech Stemming Using YASS.- Sampling Precision to Depth 10000 at CLEF 2007.- Disambiguation and Unknown Term Translation in Cross Language Information Retrieval.- Cross-Language Retrieval with Wikipedia.- Cross-Lingual Information Retrieval System for Indian Languages.- Bengali, Hindi and Telugu to English Ad-Hoc Bilingual Task at CLEF 2007.- Bengali and Hindi to English CLIR Evaluation.- Improving Recall for Hindi, Telugu, Oromo to English CLIR.- Hindi to English and Marathi to English Cross Language Information Retrieval Evaluation.- Amharic-English Information Retrieval with Pseudo Relevance Feedback.- Indonesian-English Transitive Translation for Cross-Language Information Retrieval.- Robust Retrieval Experiments at the University of Hildesheim.- SINAI at CLEF Ad-Hoc Robust Track 2007: Applying Google Search Engine for Robust Cross-Lingual Retrieval.- Improving Robustness Using Query Expansion.- English-to-French CLIR: A Knowledge-Light Approach through Character N-Grams Alignment.- MIRACLE Progress in Monolingual Information Retrieval at Ad-Hoc CLEF 2007.- II: Domain-Specific Information Retrieval (Domain-Specific).- The Domain-Specific Track at CLEF 2007.- The XTRIEVAL Framework at CLEF 2007: Domain-Specific Track.- Query Translation through Dictionary Adaptation.- Experiments in Classification Clustering and Thesaurus Expansion for Domain Specific Cross-Language Retrieval.- Domain-Specific IR for German, English and Russian Languages.- III: Multiple Language Question Answering (QA@CLEF).- Overview of the CLEF 2007 Multilingual Question Answering Track.- Overview of the Answer Validation Exercise 2007.- Overview of QAST 2007.- Question Answering with Joost at CLEF 2007.- What Happened to Esfinge in 2007?.- Coreference Resolution for Questions and Answer Merging by Validation.- Multilingual Question Answering through Intermediate Translation: LCC’s PowerAnswer at QA@CLEF 2007.- RACAI’s Question Answering System at QA@CLEF2007.- DFKI-LT at QA@CLEF 2007.- University of Wolverhampton at CLEF 2007.- Bilingual Question Answering Using CINDI_QA at QA@CLEF 2007.- The University of Évora’s Participation in QA@CLEF-2007.- Web-Based Anaphora Resolution for the QUASAR Question Answering System.- A Lexical Approach for Spanish Question Answering.- Finding Answers Using Resources in the Internet.- UAIC Romanian QA System for QA@CLEF.- The University of Amsterdam’s Question Answering System at QA@CLEF 2007.- Combining Wikipedia and Newswire Texts for Question Answering in Spanish.- QA@L2F, First Steps at QA@CLEF.- Priberam’s Question Answering System in QA@CLEF 2007.- Combining Logic and Aggregation for Answer Selection.- On the Application of Lexical-Syntactic Knowledge to the Answer Validation Exercise.- Combining Lexical Information with Machine Learning for Answer Validation at QA@CLEF 2007.- Using Recognizing Textual Entailment as a Core Engine for Answer Validation.- A Supervised Learning Approach to Spanish Answer Validation.- UAIC Participation at AVE 2007.- UNED at Answer Validation Exercise 2007.- Adapting QA Components to Mine Answers in Speech Transcripts.- The LIMSI Participation in the QAst Track.- Robust Question Answering for Speech Transcripts Using Minimal Syntactic Analysis.- IV: Cross-Language Retrieval in Image Collections (ImageCLEF).- Overview of the ImageCLEFphoto 2007 Photographic Retrieval Task.- Overview of the ImageCLEF 2007 Object Retrieval Task.- Overview of the ImageCLEFmed 2007 Medical Retrieval and Medical Annotation Tasks.- FIRE in ImageCLEF 2007: Support Vector Machines and Logistic Models to Fuse Image Descriptors for Photo Retrieval.- MIRACLE at ImageCLEFphoto 2007: Evaluation of Merging Strategies for Multilingual and Multimedia Information Retrieval.- Using an Image-Text Parallel Corpus and the Web for Query Expansion in Cross-Language Image Retrieval.- SINAI System: Combining IR Systems at ImageCLEFPhoto 2007.- Multimodal Retrieval by Text–Segment Biclustering.- Analysing an Approach to Information Retrieval of Visual Descriptions with IR-n, a System Based on Passages.- DCU and UTA at ImageCLEFPhoto 2007.- Cross-Language and Cross-Media Image Retrieval: An Empirical Study at ImageCLEF2007.- Towards Annotation-Based Query and Document Expansion for Image Retrieval.- Content-Based Image Retrieval Using Combined 2D Attribute Pattern Spectra.- Text-Based Clustering of the ImageCLEFphoto Collection for Augmenting the Retrieved Results.- Trans-Media Pseudo-Relevance Feedback Methods in Multimedia Retrieval.- Cue Integration for Medical Image Annotation.- Multiplying Concept Sources for Graph Modeling.- MIRACLE at ImageCLEFmed 2007: Merging Textual and Visual Strategies to Improve Medical Image Retrieval.- MIRACLE at ImageCLEFanot 2007: Machine Learning Experiments on Medical Image Annotation.- Integrating MeSH Ontology to Improve Medical Information Retrieval.- Speeding Up IDM without Degradation of Retrieval Quality.- Content-Based Medical Image Retrieval Using Low-Level Visual Features and Modality Identification.- Medical Image Retrieval and Automatic Annotation: OHSU at ImageCLEF 2007.- Using Bayesian Network for Conceptual Indexing: Application to Medical Document Indexing with UMLS Metathesaurus.- Baseline Results for the ImageCLEF 2007 Medical Automatic Annotation Task Using Global Image Features.- Evaluation of Automatically Assigned MeSH Terms for Retrieval of Medical Images.- University and Hospitals of Geneva Participating at ImageCLEF 2007.- An Interactive and Dynamic Fusion-Based Image Retrieval Approach by CINDI.- Using Pseudo-Relevance Feedback to Improve Image Retrieval Results.- V: Cross-Language Speech Retrieval (CL-SR).- Overview of the CLEF-2007 Cross-Language Speech Retrieval Track.- A Dirichlet-Smoothed Bigram Model for Retrieving Spontaneous Speech.- Model Fusion Experiments for the CLSR Task at CLEF 2007.- Dublin City University at CLEF 2007: Cross-Language Speech Retrieval Experiments.- What Can and Cannot Be Found in Czech Spontaneous Speech Using Document-Oriented IR Methods — UWB at CLEF 2007 CL-SR Track.- Using Information Gain to Filter Information in CLEF CL-SR Track.- VI: Multilingual Web Retrieval (WebCLEF).- Overview of WebCLEF 2007.- Segmentation of Web Documents and Retrieval of Useful Passages.- Using Centrality to Rank Web Snippets.- Using Web-Content for Retrieving Snippets.- VII: Cross-Language Geographical Retrieval (GeoCLEF).- GeoCLEF 2007: The CLEF 2007 Cross-Language Geographic Information Retrieval Track Overview.- Inferring Location Names for Geographic Information Retrieval.- GeoParsing Web Queries.- MIRACLE at GeoCLEF Query Parsing 2007: Extraction and Classification of Geographical Information.- Relevance Measures Using Geographic Scopes and Types.- Using Geographic Signatures as Query and Document Scopes in Geographic IR.- Cheshire at GeoCLEF 2007: Retesting Text Retrieval Baselines.- On the Relative Importance of Toponyms in GeoCLEF.- Filtering for Improving the Geographic Information Search.- TALP at GeoCLEF 2007: Results of a Geographical Knowledge Filtering Approach with Terrier.- TALP at GeoQuery 2007: Linguistic and Geographical Analysis for Query Parsing.- Applying Geo-feedback to Geographic Information Retrieval.- Exploring LDA-Based Document Model for Geographic Information Retrieval.- Mono-and Crosslingual Retrieval Experiments with Spatial Restrictions at GeoCLEF 2007.- GIR Experiments with Forostar.- VIII: CLEF in Other Evaluations.- Morpho Challenge Evaluation Using a Linguistic Gold Standard.- Simple Morpheme Labelling in Unsupervised Morpheme Analysis.- Unsupervised and Knowledge-Free Morpheme Segmentation and Analysis.- Unsupervised Acquiring of Morphological Paradigms from Tokenized Text.- ParaMor: Finding Paradigms across Morphology.- SemEval-2007 Task 01: Evaluating WSD on Cross-Language Information Retrieval.