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
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Session 2C：Question Answering and Summarization
Session 2D：Natural Language Processing
Session 2E：Evaluation
Session 3A：Multimedia Information Retrieval
Special Session：Medical Image Retrieval
Poster Session
Author Index
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