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Computational Linguistics and Intelligent Text Processing: 7th International Conference, CICLing 2006, Mexico City, Mexico, February 19-25, 2006, Proceedings - Softcover
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Inhaltsangabe
Computational Linguistics Research.- Integrating Semantic Frames from Multiple Sources.- Making Senses: Bootstrapping Sense-Tagged Lists of Semantically-Related Words.- Enriching Wordnets with New Relations and with Event and Argument Structures.- Experiments in Cross-Language Morphological Annotation Transfer.- Sentence Segmentation Model to Improve Tree Annotation Tool.- Markov Cluster Shortest Path Founded Upon the Alibi-Breaking Algorithm.- Unsupervised Learning of Verb Argument Structures.- A Methodology for Extracting Ontological Knowledge from Spanish Documents.- Automatically Determining Allowable Combinations of a Class of Flexible Multiword Expressions.- Web-Based Measurements of Intra-collocational Cohesion in Oxford Collocations Dictionary.- Probabilistic Neural Network Based English-Arabic Sentence Alignment.- Towards the Automatic Lemmatization of 16th Century Mexican Spanish: A Stemming Scheme for the CHEM.- Word Frequency Approximation for Chinese Without Using Manually-Annotated Corpus.- Abbreviation Recognition with MaxEnt Model.- An Efficient Multi-agent System Combining POS-Taggers for Arabic Texts.- A Comparative Evaluation of a New Unsupervised Sentence Boundary Detection Approach on Documents in English and Portuguese.- A General and Multi-lingual Phrase Chunking Model Based on Masking Method.- UCSG Shallow Parser.- Evaluating the Performance of the Survey Parser with the NIST Scheme.- Sequences of Part of Speech Tags vs. Sequences of Phrase Labels: How Do They Help in Parsing?.- Verb Sense Disambiguation Using Support Vector Machines: Impact of WordNet-Extracted Features.- Preposition Senses: Generalized Disambiguation Model.- An Unsupervised Language Independent Method of Name Discrimination Using Second Order Co-occurrence Features.- Extracting Key Phrases to Disambiguate Personal Names on the Web.- Chinese Noun Phrase Metaphor Recognition with Maximum Entropy Approach.- Zero Anaphora Resolution in Chinese Discourse.- Random Walks on Text Structures.- Shallow Case Role Annotation Using Two-Stage Feature-Enhanced String Matching.- SPARTE, a Test Suite for Recognising Textual Entailment in Spanish.- Analysis of a Textual Entailer.- Referring Via Document Parts.- Generation of Natural Language Explanations of Rules in an Expert System.- Generating a Set of Rules to Determine Honorific Expression Using Decision Tree Learning.- NLP (Natural Language Processing) for NLP (Natural Language Programming).- Balancing Transactions in Practical Dialogues.- Finite State Grammar Transduction from Distributed Collected Knowledge.- Predicting Dialogue Acts from Prosodic Information.- Disambiguation Based on Wordnet for Transliteration of Arabic Numerals for Korean TTS.- Intelligent Text Processing Applications.- MFCRank: A Web Ranking Algorithm Based on Correlation of Multiple Features.- On Text Ranking for Information Retrieval Based on Degree of Preference.- Lexical Normalization and Relationship Alternatives for a Term Dependence Model in Information Retrieval.- Web Search Model for Dynamic and Fuzzy Directory Search.- Information Retrieval from Spoken Documents.- Automatic Image Annotation Based on WordNet and Hierarchical Ensembles.- Creating a Testbed for the Evaluation of Automatically Generated Back-of-the-Book Indexes.- Automatic Acquisition of Semantic-Based Question Reformulations for Question Answering.- Using N-Gram Models to Combine Query Translations in Cross-Language Question Answering.- A Question Answering System on Special Domain and the Implementation of Speech Interface.- Multi-document Summarization Based on BE-Vector Clustering.- Deriving Event Relevance from the Ontology Constructed with Formal Concept Analysis.- A Sentence Compression Module for Machine-Assisted Subtitling.- Application of Semi-supervised Learning to Evaluative Expression Classification.- A New Algorithm for Fast Discovery of Maximal Sequential Patterns in a Document Collection.- A Machine Learning Based Approach for Separatin
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