University of Cambridge > > NLIP Seminar Series > Learning Syntactic Verb Frames Using Graphical Models

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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