Paper: Semantic Parsing with Relaxed Hybrid Trees

ACL ID D14-1137
Title Semantic Parsing with Relaxed Hybrid Trees
Venue Conference on Empirical Methods in Natural Language Processing
Session Main Conference
Year 2014

We propose a novel model for parsing natural language sentences into their for- mal semantic representations. The model is able to perform integrated lexicon ac- quisition and semantic parsing, mapping each atomic element in a complete seman- tic representation to a contiguous word sequence in the input sentence in a re- cursive manner, where certain overlap- pings amongst such word sequences are allowed. It defines distributions over the novel relaxed hybrid tree structures which jointly represent both sentences and se- mantics. Such structures allow tractable dynamic programming algorithms to be developed for efficient learning and decod- ing. Trained under a discriminative set- ting, our model is able to incorporate a rich set of features where certain unbounded long-distance dependenci...