Integrating Multiple Knowledge Sources for Robust Semantic Parsing
计算与语言
2007-05-23 v1 人工智能
摘要
This work explores a new robust approach for Semantic Parsing of unrestricted texts. Our approach considers Semantic Parsing as a Consistent Labelling Problem (CLP), allowing the integration of several knowledge types (syntactic and semantic) obtained from different sources (linguistic and statistic). The current implementation obtains 95% accuracy in model identification and 72% in case-role filling.
引用
@article{arxiv.cs/0109023,
title = {Integrating Multiple Knowledge Sources for Robust Semantic Parsing},
author = {Jordi Atserias and Lluis Padro and German Rigau},
journal= {arXiv preprint arXiv:cs/0109023},
year = {2007}
}