Information Retrieval Technology

Session 1A: Text Retrieval.- Query Expansion with ConceptNet and WordNet: An Intrinsic Comparison.- Document Similarity Search Based on Manifold-Ranking of TextTiles.- Adapting Document Ranking to Users' Preferences Using Click-Through Data.- Session 1B: Search and Extraction.- A PDD-Based Searching Approach for Expert Finding in Intranet Information Management.- A Supervised Learning Approach to Entity Search.- Hierarchical Learning Strategy in Relation Extraction Using Support Vector Machines.- Session 1C: Text Classification and Indexing.- Learning to Separate Text Content and Style for Classification.- Using Relative Entropy for Authorship Attribution.- Efficient Query Evaluation Through Access-Reordering.- Session 1D: Text Clustering.- Natural Document Clustering by Clique Percolation in Random Graphs.- Text Clustering with Limited User Feedback Under Local Metric Learning.- Toward Generic Title Generation for Clustered Documents.- Session 1E: Information Retrieval Models.- Word Sense Language Model for Information Retrieval.- Statistical Behavior Analysis of Smoothing Methods for Language Models of Mandarin Data Sets.- No Tag, a Little Nesting, and Great XML Keyword Search.- Session 2A: Web Information Retrieval.- Improving Re-ranking of Search Results Using Collaborative Filtering.- Learning to Integrate Web Catalogs with Conceptual Relationships in Hierarchical Thesaurus.- Discovering Authoritative News Sources and Top News Stories.- Session 2B: Cross-Language Information Retrieval.- Chinese Question-Answering: Comparing Monolingual with English-Chinese Cross-Lingual Results.- Translation of Unknown Terms Via Web Mining for Information Retrieval.- A Cross-Lingual Framework for Web News Taxonomy Integration.- Session 2C: Question Answering and Summarization.-Learning Question Focus and Semantically Related Features from Web Search Results for Chinese Question Classification.- Improving the Robustness to Recognition Errors in Speech Input Question Answering.- An Adjacency Model for Sentence Ordering in Multi-document Summarization.- Session 2D: Natural Language Processing.- Poor Man's Stemming: Unsupervised Recognition of Same-Stem Words.- NAYOSE: A System for Reference Disambiguation of Proper Nouns Appearing on Web Pages.- Efficient and Robust Phrase Chunking Using Support Vector Machines.- Session 2E: Evaluation.- Statistical and Comparative Evaluation of Various Indexing and Search Models.- Bootstrap-Based Comparisons of IR Metrics for Finding One Relevant Document.- Evaluating Topic Difficulties from the Viewpoint of Query Term Expansion.- Session 3A: Multimedia Information Retrieval.- Incorporating Prior Knowledge into Multi-label Boosting for Cross-Modal Image Annotation and Retrieval.- A Venation-Based Leaf Image Classification Scheme.- Pic-A-Topic: Gathering Information Efficiently from Recorded TV Shows on Travel.- A Music Retrieval System Based on Query-by-Singing for Karaoke Jukebox.- Special Session: Medical Image Retrieval.- A Semantic Fusion Approach Between Medical Images and Reports Using UMLS.- Automated Object Extraction for Medical Image Retrieval Using the Insight Toolkit (ITK).- Stripe: Image Feature Based on a New Grid Method and Its Application in ImageCLEF.- Poster Session.- An Academic Information Retrieval System Based on Multiagent Framework.- Comparing Web Logs: Sensitivity Analysis and Two Types of Cross-Analysis.- Concept Propagation Based on Visual Similarity.- Query Structuring with Two-Stage Term Dependence in the Japanese Language.- Automatic Expansion of Abbreviations in Chinese NewsText.- A Novel Ant-Based Clustering Approach for Document Clustering.- Evaluating Scalability in Information Retrieval with Multigraded Relevance.- Text Mining for Medical Documents Using a Hidden Markov Model.- Multi-document Summarization Based on Unsupervised Clustering.- A Content-Based 3D Graphic Information Retrieval System.- Query Expansion for Contextual Question Using Genetic Algorithms.- Fine-Grained Named Entity Recognition Using Conditional Random Fields for Question Answering.- A Hybrid Model for Sentence Ordering in Extractive Multi-document Summarization.- Automatic Query Type Identification Based on Click Through Information.- Japanese Question-Answering System for Contextual Questions Using Simple Connection Method, Decreased Adding with Multiple Answers, and Selection by Ratio.- Multi-document Summarization Using a Clustering-Based Hybrid Strategy.- A Web User Preference Perception System Based on Fuzzy Data Mining Method.- An Analysis on Topic Features and Difficulties Based on Web Navigational Retrieval Experiments.- Towards Automatic Domain Classification of Technical Terms: Estimating Domain Specificity of a Term Using the Web.- Evaluating Score Normalization Methods in Data Fusion.- WIDIT: Integrated Approach to HARD Topic Search.- Automatic Query Expansion Using Data Manifold.- An Empirical Comparison of Translation Disambiguation Techniques for Chinese-English Cross-Language Information Retrieval.- Web Mining for Lexical Context-Specific Paraphrasing.

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Extensible Markup Language (XML);Multimedia;Unified Modeling Language (UML);Web information retrieval;XML;algorithms;calculus;clustering;data mining;document analysis;genetic algorithms;indexing;information retrieval;medical image retrieval;multimedia retrieval;algorithm analysis and problem complexity;data structures