Integrating Multiple Knowledge Sources for Robust Semantic Parsing
<|reference_start|>Integrating Multiple Knowledge Sources for Robust Semantic Parsing: 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.<|reference_end|>
@article{atserias2001integrating,
    title={Integrating Multiple Knowledge Sources for Robust Semantic Parsing},
    author={Jordi Atserias, Lluis Padro and German Rigau},
    journal={Proceedings of Euroconference on Recent Advances in Natural
  Language Processing (RANLP'01), p.8-14. Tzigov Chark, Bulgaria. Sept. 2001},
    year={2001},
    archivePrefix={arXiv},
    eprint={cs/0109023},
    primaryClass={cs.CL cs.AI}
}