信息检索技术：AIRS 2006/会议录 Information retrieval technology
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作者： Hwee Tou Ng，Mun-Kew Leong，Min-Yen Kan 著
出 版 社： 湖南文艺出版社
出版时间： 2006-12-1字数：版次： 1页数： 683印刷时间： 2006/12/01开本：印次：纸张： 胶版纸I S B N ： 9783540457800包装： 平装编辑推荐
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内容简介
This book constitutes the refereed proceedings of the Third Asia Information Retrieval Symposium, AIRS 2006, held in Singapore in October 2006.
The 34 revised full papers and 24 revised poster papers presented were carefully reviewed and selected from 148 submissions. All current issues in information retrieval are addressed: applications, systems, technologies and theoretical aspects of information retrieval in text, audio, image, video and multi-media data. The papers are organized in topical sections on text retrieval, search and extraction, text classification and indexing, text clustering, information retrieval models, web information retrieval, cross-language information retrieval, question answering and summarization, natural language processing, evaluation, multimedia information retrieval, as well as a special session on medical image retrieval.
目录
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
