Abstract
We present DefIE, an approach to large-scale Information Extraction (IE) based on a syntactic-semantic analysis of textual definitions. Given a large corpus of definitions we leverage syntactic dependencies to reduce data sparsity, then disambiguate the arguments and content words of the relation strings, and finally exploit the resulting information to organize the acquired relations hierarchically. The output of DefIE is a high-quality knowledge base consisting of several million automatically acquired semantic relations.- Anthology ID:
- Q15-1038
- Volume:
- Transactions of the Association for Computational Linguistics, Volume 3
- Month:
- Year:
- 2015
- Address:
- Cambridge, MA
- Editors:
- Michael Collins, Lillian Lee
- Venue:
- TACL
- SIG:
- Publisher:
- MIT Press
- Note:
- Pages:
- 529–543
- Language:
- URL:
- https://aclanthology.org/Q15-1038
- DOI:
- 10.1162/tacl_a_00156
- Cite (ACL):
- Claudio Delli Bovi, Luca Telesca, and Roberto Navigli. 2015. Large-Scale Information Extraction from Textual Definitions through Deep Syntactic and Semantic Analysis. Transactions of the Association for Computational Linguistics, 3:529–543.
- Cite (Informal):
- Large-Scale Information Extraction from Textual Definitions through Deep Syntactic and Semantic Analysis (Delli Bovi et al., TACL 2015)
- PDF:
- https://preview.aclanthology.org/improve-issue-templates/Q15-1038.pdf