Large-Scale Information Extraction from Textual Definitions through Deep Syntactic and Semantic Analysis

Claudio Delli Bovi, Luca Telesca, Roberto Navigli


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
Bibkey:
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)
Copy Citation:
PDF:
https://aclanthology.org/Q15-1038.pdf