Information Retrieval Technology: 4th Asia Information Retrieval Symposium, Airs 2008, Harbin, China, January 15-18, 2008, Revised Selected Papers (Paperback, 2008)

Session 1A: IR Models.- Improving Expertise Recommender Systems by Odds Ratio.- Exploring the Stability of IDF Term Weighting.- Completely-Arbitrary Passage Retrieval in Language Modeling Approach.- Session 1B: Image Retrieval.- Semantic Discriminative Projections for Image Retrieval.- Comparing Dissimilarity Measures for Content-Based Image Retrieval.- A Semantic Content-Based Retrieval Method for Histopathology Images.- Session 1C: Text Classification.- Integrating Background Knowledge into RBF Networks for Text Classification.- An Extended Document Frequency Metric for Feature Selection in Text Categorization.- Smoothing LDA Model for Text Categorization.- Session 1D: Chinese Language Processing.- Fusion of Multiple Features for Chinese Named Entity Recognition Based on CRF Model.- Semi-joint Labeling for Chinese Named Entity Recognition.- On the Construction of a Large Scale Chinese Web Test Collection.- Session 1E: Text Processing.- Topic Tracking Based on Keywords Dependency Profile.- A Dynamic Programming Model for Text Segmentation Based on Min-Max Similarity.- Pronoun Resolution with Markov Logic Networks.- Session 1F: Application of IR.- Job Information Retrieval Based on Document Similarity.- Discrimination of Ventricular Arrhythmias Using NEWFM.- Session 2A: Machine Learning.- Efficient Feature Selection in the Presence of Outliers and Noises.- Domain Adaptation for Conditional Random Fields.- Graph Mutual Reinforcement Based Bootstrapping.- Session 2B: Taxonomy.- Combining WordNet and ConceptNet for Automatic Query Expansion: A Learning Approach.- Improving Hierarchical Taxonomy Integration with Semantic Feature Expansion on Category-Specific Terms.- HOM: An Approach to Calculating Semantic Similarity Utilizing Relations between Ontologies.- Session 2C: IR Models.- A Progressive Algorithm for Cross-Language Information Retrieval Based on Dictionary Translation.- Semi-Supervised Graph-Ranking for Text Retrieval.- Learnable Focused Crawling Based on Ontology.- Session 2D: Information Extraction.- Gram-Free Synonym Extraction Via Suffix Arrays.- Synonyms Extraction Using Web Content Focused Crawling.- Blog Post and Comment Extraction Using Information Quantity of Web Format.- Session 3A: Summarization.- A Lexical Chain Approach for Update-Style Query-Focused Multi-document Summarization.- GSPSummary: A Graph-Based Sub-topic Partition Algorithm for Summarization.- Session 3B: Multimedia.- An Ontology and SWRL Based 3D Model Retrieval System.- Multi-Scale TextTiling for Automatic Story Segmentation in Chinese Broadcast News.- Session 3C: Web IR.- Improving Spamdexing Detection Via a Two-Stage Classification Strategy.- Clustering Deep Web Databases Semantically.- PostingRank: Bringing Order to Web Forum Postings.- Session 3D: Text Clustering.- A Novel Reliable Negative Method Based on Clustering for Learning from Positive and Unlabeled Examples.- Term Weighting Evaluation in Bipartite Partitioning for Text Clustering.- A Refinement Framework for Cross Language Text Categorization.- Poster Session.- Research on Asynchronous Communication-Oriented Page Searching.- A Novel Fuzzy Kernel C-Means Algorithm for Document Clustering.- Cov-HGMEM: An Improved Hierarchical Clustering Algorithm.- Improve Web Image Retrieval by Refining Image Annotations.- Story Link Detection Based on Event Model with Uneven SVM.- Video Temporal Segmentation Using Support Vector Machine.- Using Multiple Combined Ranker for Answering Definitional Questions.- Route Description Using Natural Language Generation Technology.- Some Question to Monte-Carlo Simulation in AIB Algorithm.- An Opinion Analysis System Using Domain-Specific Lexical Knowledge.- A New Algorithm for Reconstruction of Phylogenetic Tree.- A Full Distributed Web Crawler Based on Structured Network.- A Simulated Shallow Dependency Parser Based on Weighted Hierarchical Structure Learning.- One Optimized Choosing Method of K-Means Document Clustering Center.- A Model for Evaluating th