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Two-stage story segmentation and detection on broadcast news using genetic algorithm
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In: http://isca-speech.org/archive_open/archive_papers/msdr2003/msd3_055.pdf (2003)
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Meaningful term extraction and discriminative term selection in text categorization via unknown-word methodology
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In: http://www.cs.toronto.edu/~gh/Courses/2528/Readings/2002f/Lai+Wu.pdf (2002)
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OntoNotes: Sense Pool Verification Using Google N-gram and Statistical Tests
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In: http://www.isi.edu/natural-language/people/hovy/papers/07Ontolex-sensepool-verify.pdf
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RECOGNITION OF SYLLABLE-CONTRACTED WORDS IN SPONTANEOUS SPEECH USING WORD EXPANSION AND DURATION INFORMATION
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In: http://isca-speech.org/archive_open/archive_papers/iscslp2008/225.pdf
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Word Sense Disambiguation Using Multiple Contextual Features
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In: http://wing.comp.nus.edu.sg/~antho/O/O10/O10-5002.pdf
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Abstract:
Word sense disambiguation (WSD) is a technique used to identify the correct sense of polysemous words, and it is useful for many applications, such as machine translation (MT), lexical substitution, information retrieval (IR), and biomedical applications. In this paper, we propose the use of multiple contextual features, including the predicate-argument structure and named entities, to train two commonly used classifiers, Naïve Bayes (NB) and Maximum Entropy (ME), for word sense disambiguation. Experiments are conducted to evaluate the classifiers’ performance on the OntoNotes corpus and are compared with classifiers trained using a set of baseline features, such as the bag-of-words, n-grams, and part-of-speech (POS) tags. Experimental results show that incorporating both predicate-argument structure and named entities yields higher classification accuracy for both classifiers than does the use of the baseline features, resulting in accuracy as high as 81.6 % and 87.4%, respectively, for NB and ME.
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Keyword:
Named Entity; Natural Language Processing; Predicate-Argument Structure; Word Sense Disambiguation
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URL: http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.396.8198 http://wing.comp.nus.edu.sg/~antho/O/O10/O10-5002.pdf
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Propositional Term Extraction over Short Text using Word Cohesiveness and Conditional Random Fields with Multi-Level Features
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In: http://www.aclclp.org.tw/rocling/2008/OS4_1.pdf
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A Mandarin Voice Organizer Based On a Template-Matching Speech Recognizer
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In: http://dspace.wul.waseda.ac.jp/dspace/bitstream/2065/12038/1/PACLIC11-289-296.pdf
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Automatic Selection of Synthesis Units from A Large Speech Database
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In: http://dspace.wul.waseda.ac.jp/dspace/bitstream/2065/12134/1/PACLIC13-321-328.pdf
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Text-Independent Speaker Identification Based on Small Training Data and Fast Search Algorithms
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In: ftp://ftp.iscs.nus.sg/pub/commcolips/p96010.ps
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Robust Speech-Annotated Photo Retrieval Using Syllable-Transformed Patterns
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In: http://isca-speech.org/archive_open/archive_papers/iscslp2006/B64.pdf
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Synthesis Unit and Question Set Definition for Mandarin HMM-based Singing Voice Synthesis
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In: http://aclweb.org/anthology/O/O13/O13-1008.pdf
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Using Chi-square Testing in Modeling Confusion Characteristics for Robust Phonetic Set Generation
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In: http://www.aclclp.org.tw/rocling/2001/M07.pdf
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HAL-based Cascaded Model for Variable-Length Semantic Pattern Induction from Psychiatry Web Resources
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In: http://acl.ldc.upenn.edu/P/P06/P06-2121.pdf
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Stochastic Discourse Modeling in Spoken Dialogue Systems Using Semantic Dependency Graphs
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In: http://acl.ldc.upenn.edu/P/P06/P06-2120.pdf
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Automated Alignment and Extraction of a Bilingual Ontology for Cross-Language Domain-Specific Applications
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In: http://www.mt-archive.info/Coling-2004-Yeh.pdf
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Automated Alignment and Extraction of Bilingual Ontology for Cross-Language Domain-Specific Applications
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In: http://acl.ldc.upenn.edu/C/C04/C04-1164.pdf
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Automated Alignment and Extraction of a Bilingual Ontology for Cross-Language Domain-Specific Applications
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In: http://www.aclclp.org.tw/clclp/v10n1/v10n1a3.pdf
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Automated Alignment and Extraction of Bilingual Domain Ontology for Medical Domain Web Search
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In: http://acl.ldc.upenn.edu/w/w04/w04-1110.pdf
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Ontology‐based speech act identification in a bilingual dialog system using partial pattern trees
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