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Solving the Individuation and Counting Puzzle with λ-DRT and MGL If I Can Get a Book from the Library, It Saves Me from Needing to Buy It in the Bookshop

机译:用λ-DRT和MGL解决个性化和计数难题如果我可以从图书馆买书,那么可以免去我在书店购买书的麻烦。

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摘要

Individuation and counting present an open puzzle for lexical semantics. The key challenge posed by this puzzle is that polysemous words can be counted according to different facets, using different individuation criteria for each. Several solutions have been proposed and challenged in the past, and the complexity of the responses expected makes it an interesting and pertinent test for formal theories and automated systems. We present a simple solution for this puzzle using an integrated chain of analysis from syntax to semantics and discourse, with a partial implementation that uses publicly available tools and frameworks. This clarifies the status of logical, compositional formalisms for lexical semantics regarding their ability to handle quantification and individuation. We also discuss the ability of the same formalisms to handle the resolution of discourse-level anaphora and correctly parse utterances introducing multiple lexical facets that are later referred to in the discourse.
机译:个性化和计数是词汇语义学的一个开放难题。这个难题带来的主要挑战是,可以根据不同的方面对多义词进行计数,并使用不同的个性化标准。过去已经提出并挑战了几种解决方案,并且预期响应的复杂性使其成为形式理论和自动化系统的有趣且相关的测试。我们提供了一个简单的解决方案,它使用了从句法到语义以及话语的集成分析链,并且使用了部分可用公共工具和框架的实现。这阐明了关于词汇语义的逻辑,组成形式主义在处理量化和个体化方面的地位。我们还将讨论相同形式主义处理话语级回指的解决以及正确解析话语的能力,这些话语引入了多个词汇方面,这些话语稍后将在话语中提及。

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