Paraphrasing, textual entailment, and semantic similarity above word level
Paraphrasing, textual entailment, and semantic similarity above word level
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释义、文本蕴含和单词级别以上的语义相似性
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发表时间：
2022
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通讯作者：
Venelin Kovatchev
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作者：
Venelin Kovatchev
本文从语言学和计算的角度探讨了两个或多个复杂语言表达（短语、分句、句子、段落）之间的意义关系。它特别关注释义、文本蕴涵、矛盾和语义相似。在第一部分：“单词和短语级别的相似性”中，我研究了分布假设（DH），并探索了在单词和短语级别量化语义相似性的几种不同方法。第二部分：“意译类型与意译识别”，重点讨论了意译的意义关系和自动意译识别的实证任务。在第三部分“释义、文本蕴涵和语义相似”中，我通过对释义、文本蕴涵、矛盾和语义相似的联合研究，提出了文本意义关系研究的新方向。
This dissertation explores the linguistic and computational aspects of the meaning relations that can hold between two or more complex linguistic expressions (phrases, clauses, sentences, paragraphs). In particular, it focuses on Paraphrasing, Textual Entailment, Contradiction, and Semantic Similarity. In Part I:"Similarity at the Level of Words and Phrases", I study the Distributional Hypothesis (DH) and explore several different methodologies for quantifying semantic similarity at the levels of words and short phrases. In Part II:"Paraphrase Typology and Paraphrase Identification", I focus on the meaning relation of paraphrasing and the empirical task of automated Paraphrase Identification (PI). In Part III:"Paraphrasing, Textual Entailment, and Semantic Similarity", I present a novel direction in the research on textual meaning relations, resulting from joint research carried out on on paraphrasing, textual entailment, contradiction, and semantic similarity.