Automatic Pronominal Anaphora Resolution in English Texts
碩士 === 國立交通大學 === 資訊科學系 === 91 === Anaphora is a common phenomenon in discourses as well as an important research issue in the applications of natural language processing. Traditionally, anaphora resolution systems rely on syntactic, semantic or pragmatic clues to identify the antecedent...
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ndltd-TW-091NCTU03940852016-06-22T04:14:06Z http://ndltd.ncl.edu.tw/handle/57480193336231648137 Automatic Pronominal Anaphora Resolution in English Texts 自動解析英文文件中的代名詞指代問題 Dian-Song Wu 吳典松 碩士 國立交通大學 資訊科學系 91 Anaphora is a common phenomenon in discourses as well as an important research issue in the applications of natural language processing. Traditionally, anaphora resolution systems rely on syntactic, semantic or pragmatic clues to identify the antecedent of an anaphor. In this thesis, the resolution of anaphora is achieved by employing WordNet ontology and heuristic rules. The proposed system identifies both intra-sentential and inter-sentential antecedents of anaphors. Information about animacy is obtained by analyzing the hierarchical relation of nouns and verbs in the surrounding context. The identification of animacy entities and pleonastic-it usage in English discourses are employed to promote the resolution accuracy. Tyne Liang 梁婷 2003 學位論文 ; thesis 52 en_US |
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碩士 === 國立交通大學 === 資訊科學系 === 91 === Anaphora is a common phenomenon in discourses as well as an important research issue in the applications of natural language processing. Traditionally, anaphora resolution systems rely on syntactic, semantic or pragmatic clues to identify the antecedent of an anaphor. In this thesis, the resolution of anaphora is achieved by employing WordNet ontology and heuristic rules. The proposed system identifies both intra-sentential and inter-sentential antecedents of anaphors. Information about animacy is obtained by analyzing the hierarchical relation of nouns and verbs in the surrounding context. The identification of animacy entities and pleonastic-it usage in English discourses are employed to promote the resolution accuracy.
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author2 |
Tyne Liang |
author_facet |
Tyne Liang Dian-Song Wu 吳典松 |
author |
Dian-Song Wu 吳典松 |
spellingShingle |
Dian-Song Wu 吳典松 Automatic Pronominal Anaphora Resolution in English Texts |
author_sort |
Dian-Song Wu |
title |
Automatic Pronominal Anaphora Resolution in English Texts |
title_short |
Automatic Pronominal Anaphora Resolution in English Texts |
title_full |
Automatic Pronominal Anaphora Resolution in English Texts |
title_fullStr |
Automatic Pronominal Anaphora Resolution in English Texts |
title_full_unstemmed |
Automatic Pronominal Anaphora Resolution in English Texts |
title_sort |
automatic pronominal anaphora resolution in english texts |
publishDate |
2003 |
url |
http://ndltd.ncl.edu.tw/handle/57480193336231648137 |
work_keys_str_mv |
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