| The LNAI series reports state-of-the-art results in artificial intelligence re-search，development，and education，at a high level and in both printed and electronic form. Enjoying tight cooperation with the R＆D community，with numerous individuals，as well as with prestigious organizations and societies，LNAI has grown into the most comprehensive artificial intelligence research forum available. The scope of LNAI spans the whole range of artificial intelligence and intelli-gent information processing including interdisciplinary topics in a variety of application fields. The type of material published traditionally includes proceedings（published in time for the respective conference） post-proceedings（consisting of thoroughly revised final full papers） research monographs（which may be based on PhD work） |
| Information Retrieval/Document Classification/QA/ Summarization I Answering Contextual Questions Based on the Cohesion with Knowledge Segmentation of Mixed Chinese/English Document Including Scattered Italic Characters Using Pointwise Mutual Information to Identify Implicit Features in Customer Reviews Using Semi-supervised Learning for Question Classification Query Similarity Computing Based on System Similarity Measurement Machine Translation I An Improved Method for Finding Bilingual Collocation Correspondences from Monolingual Corpora A Syntactic Transformation Model for Statistical Machine Translation Word Alignment Between Chinese and Japanese Using Maximum Weight Matching on Bipartite Graph Improving Machine Transliteration Performance by Using Multiple Transliteration Models Information Retrieval/Document Classification/ QA/Summarization II Clique Percolation Method for Finding Naturally Cohesive and Overlapping Document Clusters Hybrid Approach to Extracting Information from Web-Tables A Novel Hierarchical Document Clustering Algorithm Based on a kNN Connection Graph Poster Session 1 The Great Importance of Cross-Document Relationships for Multi-document Summarization The Effects of Computer Assisted Instruction to Train People with Reading Disabilities Recognizing Chinese Characters Discrimination-Based Feature Selection for Multinomial Na'/ve Bayes Text Classification A Comparative Study on Chinese Word Clustering Populating FrameNet with Chinese Verbs Mapping Bilingual Ontological WordNet with FrameNet Collecting Novel Technical Terms from the Web by Estimating Domain Specificity of a Term Building Document Graphs for Multiple News Articles Summarization: An Event-Based Approach A Probabilistic Feature Based Maximum Entropy Model for Chinese Named Entity Recognition …… Word Segmentation/Chunking/Abbreviation/Expansion/Witritng -System Issues Machine TranlationII Poster Session2 Parsing/Semantics/Lexical Resources Author Index |
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