Wide-Coverage Semantic Representations from a CCG Parser


This paper shows how to construct semantic representations from the derivations produced by a wide-coverage CCG parser. Unlike the dependency structures returned by the parser itself, these can be used directly for semantic interpretation. We demonstrate that well-formed semantic representations can be produced for over 97% of the sentences in unseen WSJ text. We believe this is a major step towards widecoverage semantic interpretation, one of the key objectives of the field of NLP.

Extracted Key Phrases

2 Figures and Tables

Citations per Year

227 Citations

Semantic Scholar estimates that this publication has 227 citations based on the available data.

See our FAQ for additional information.

Cite this paper

@inproceedings{Bos2004WideCoverageSR, title={Wide-Coverage Semantic Representations from a CCG Parser}, author={Johan Bos and Stephen Clark and Mark Steedman and James R. Curran and Julia Hockenmaier}, booktitle={COLING}, year={2004} }