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- W2613224199 abstract "Distribution of a word across contexts has proved to be a very useful approximation of the word's meaning. This paper re ects on the recent attempts to enhance distributional (or vector space) semantics of words with meaning composition, in particular with Fregean compositionality. I discuss the nature and performance of distributional semantic representations and argue against the thesis that semantics is in some sense identical with distribution (which seems to be a strong assumption of the compositional e orts). I propose instead that distribution is merely a re ection of semantics, and a substantially imperfect one. That raises some doubts regarding the very idea of obtaining semantic representations for larger wholes (phrases, sentences) by combining the distributional representations of particular items. In any case, I reject the generally unquestioned assumption that formal semantics provides a good theory of semantic composition, which it would be desirable to combine with distributional semantics (as a theory that is highly succesful on the lexical eld). I suggest that a positive alternative to the strong reading of the distributional hypothesis can be seen in the philosophy of inferentialism with respect to language meaning. I argue that the spirit of inferentialism is reasonably compatible with the current practice of distributional semantics, and I discuss the motivations for as well as the obstacles in the way of implementing the philosophical position in a computational framework. ∗I am grateful to Jarda Peregrin, as well as to a couple of anonymous reviewers, for their relevant comments on a previous version." @default.
- W2613224199 created "2017-05-19" @default.
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- W2613224199 date "2016-01-01" @default.
- W2613224199 modified "2023-09-24" @default.
- W2613224199 title "DISTRIBUTION AND INFERENCE: WHAT PHILOSOPHICAL AND COMPUTATIONAL SEMANTICS CAN LEARN FROM EACH OTHER" @default.
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