Joint A* Syntactic and Semantic Parsing for CCG
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If you have a question about this talk, please contact Tamara Polajnar.
Joint models of syntactic and semantic parsing have the potential to improve performance on both tasks—but to date, the best results have been achieved with pipelines. I will introduce a new joint model using CCG , which is motivated by the close link between CCG syntax and semantics. Semantic roles are recovered by labelling the deep dependency structures produced by the grammar. Furthermore, I will show how to exploit CCG ’s strong lexicalization to introduce a new A∗ parsing algorithm—-which finds optimal parses over 5 times faster than CKY parsing. Our joint model is the first to substantially improve both syntactic and semantic accuracy over a comparable pipeline, and also achieves state-of-the-art results for a non-ensemble semantic role labelling model.
This talk is part of the NLIP Seminar Series series.
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