Learning Syntactic Verb Frames Using Graphical Models
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If you have a question about this talk, please contact Ekaterina Kochmar.
This talk presents a novel approach for building 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 talk is part of the NLIP Seminar Series series.
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