文本、语音与对话：TSD 2006/会议录LNCS-4188: Text, speech and dialogue
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内容提要：
This book constitutes the refereed proceedings of the 9th International Conference on Text, Speech and Dialogue, TSD 2006, held in Brno, Czech Republic, in September 2006.
The 87 revised full papers presented together with 2 invited papers were carefully reviewed and selected from 175 submissions. The papers present a wealth of state-of-the-art research results in the field of natural language processing with an emphasis on text, speech, and spoken dialogue ranging from theoretical and methodological issues to applications in various fields and with special focus on corpora, texts and transcription, speech analysis, recognition and synthesis, as well as their intertwining within NL dialogue systems. 目录：
Ⅰ Invited Papers
Learning by Reading: An Experiment in Text Analysis Depth of Feelings: Alternatives for Modeling Affect in User Models Ⅱ Text The Lexico-Semantic Annotation of PDT Czech Verbs of Communication and the Extraction of Their Frames Featuring of Sex-Dependent Nouns in Databases Oriented to European Languages On the Behaviors of SVM and Some Older Algorithms in Binary Text Classification Tasks A Knowledge Based Strategy for Recognising Textual Entailment Paragraph-Level Alignment of an English-Spanish Parallel Corpus of Fiction Texts Using Bilingual Dictionaries Some Methods of Describing Discontinuity in Polish and Their Cost-Effectiveness Exploitation of the VerbaLex Verb Valency Lexicon in the Syntactic Analysis of Czech Hungarian-English Machine Translation Using GenPar Combining Czech Dependency Parsers Processing Korean Numeral Classifier Constructions in a Typed Feature Structure Grammar Parsing Head Internal and External Relative Clause Constructions in Korean A Hybrid Model for Extracting Transliteration Equivalents from Parallel Corpora Sentence Compression Using Statistical Information About Dependency Path Length Transformation-Based Tectogrammatical Analysis of Czech The Effect of Semantic Knowledge Expansion to Textual Entailment Recognition Segmentation of Complex Sentences Enhanced Centroid-Based Classification Technique by Filtering Outliers …… Ⅲ Speech Ⅳ Dialogue Author Index |