论文标题
释义，文字构成和语义相似性高于单词级别
Paraphrasing, textual entailment, and semantic similarity above word level
论文作者
论文摘要
本论文探讨了含义关系的语言和计算方面，可以在两个或多个复杂的语言表达式（短语，条款，句子，段落）之间保持。特别是，它重点介绍释义，文本构成，矛盾和语义相似性。 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），并探索了几种不同的方法，以量化单词和短词的语义相似性。 在第二部分：“释义类型和释义识别”中，我着重于释义的含义关系以及自动解释识别（PI）的经验任务。 在第三部分中：“释义，文本需要和语义相似性”，我在文本含义关系的研究中提出了一个新颖的方向，这是由关于释义，文本构成，矛盾和语义相似性进行的联合研究所产生的。
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.
