ML p(r)ior | Interleaving Syntax and Semantics in an Efficient Bottom-Up Parser
Processing...

Interleaving Syntax and Semantics in an Efficient Bottom-Up Parser

1994-07-05
We describe an efficient bottom-up parser that interleaves syntactic and semantic structure building. Two techniques are presented for reducing search by reducing local ambiguity: Limited left-context constraints are used to reduce local syntactic ambiguity, and deferred sortal-constraint application is used to reduce local semantic ambiguity. We experimentally evaluate these techniques, and show dramatic reductions in both number of chart-edges and total parsing time. The robust processing capabilities of the parser are demonstrated in its use in improving the accuracy of a speech recognizer.
PDF

Highlights - Most important sentences from the article

Login to like/save this paper, take notes and configure your recommendations