acl acl2012 acl2012-130 acl2012-130-reference knowledge-graph by maker-knowledge-mining
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Author: Thomas Lippincott ; Anna Korhonen ; Diarmuid O Seaghdha
Abstract: We present a novel approach for verb subcategorization lexicons using a simple graphical model. In contrast to previous methods, we show how the model can be trained without parsed input or a predefined subcategorization frame inventory. Our method outperforms the state-of-the-art on a verb clustering task, and is easily trained on arbitrary domains. This quantitative evaluation is com- plemented by a qualitative discussion of verbs and their frames. We discuss the advantages of graphical models for this task, in particular the ease of integrating semantic information about verbs and arguments in a principled fashion. We conclude with future work to augment the approach.
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