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- W2018804095 abstract "We evaluate probabilistic models of verb argument structure trained on a corpus of verbs and their syntactic arguments. Models designed to represent patterns of verb alternation behavior are compared with generic clustering models in terms of the perplexity assigned to held-out test data. While the specialized models of alternation do not perform as well, closer examination reveals alternation behavior represented implicitly in the generic models." @default.
- W2018804095 created "2016-06-24" @default.
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- W2018804095 date "2002-01-01" @default.
- W2018804095 modified "2023-10-16" @default.
- W2018804095 title "Probabilistic models of verb-argument structure" @default.
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- W2018804095 doi "https://doi.org/10.3115/1072228.1072360" @default.
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