A Corpus-based Account of Regular Polysemy: The Case of Context-sensitive Adjectives
A Corpus-based Account of Regular Polysemy: The Case of Context-sensitive Adjectives
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基于语料库的规则多义词解释：上下文相关形容词的案例
DOI：
10.3115/1073336.1073345
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发表时间：
2001
期刊：
影响因子：
--
通讯作者：
Maria Lapata
中科院分区：
文献类型：
--
作者：
Maria Lapata
在本文中，我们研究了多义形容词，其含义根据它们修饰的名词而变化（例如，快速）。我们从大型语料库中获取这些形容词的含义，并提出了一个概率模型，该模型提供了对一组可能解释的排名。我们通过利用表面句法线索和词汇含义之间的一致对应关系来自动识别词汇语义信息。我们根据人类实验得出的释义判断来评估我们的结果，并表明模型的含义排名与人类直觉可靠地相关：模型发现的高度可能的含义也被受试者评为合理。
In this paper we investigate polysemous adjectives whose meaning varies depending on the nouns they modify (e.g., fast). We acquire the meanings of these adjectives from a large corpus and propose a probabilistic model which provides a ranking on the set of possible interpretations. We identify lexical semantic information automatically by exploiting the consistent correspondences between surface syntactic cues and lexical meaning. We evaluate our results against paraphrase judgments elicited experimentally from humans and show that the model's ranking of meanings correlates reliably with human intuitions: meanings that are found highly probable by the model are also rated as plausible by the subjects.