Extracting semantic relations via the combination of inferences, schemas and cooccurrences

Mathieu Lafourcade, Nathalie Le Brun


Abstract
Extracting semantic relations from texts is a good way to build and supply a knowledge base, an indispensable resource for text analysis. We propose and evaluate the combination of three ways of producing lexical-semantic relations.
Anthology ID:
R17-1055
Volume:
Proceedings of the International Conference Recent Advances in Natural Language Processing, RANLP 2017
Month:
September
Year:
2017
Address:
Varna, Bulgaria
Editors:
Ruslan Mitkov, Galia Angelova
Venue:
RANLP
SIG:
Publisher:
INCOMA Ltd.
Note:
Pages:
417–423
Language:
URL:
https://doi.org/10.26615/978-954-452-049-6_055
DOI:
10.26615/978-954-452-049-6_055
Bibkey:
Cite (ACL):
Mathieu Lafourcade and Nathalie Le Brun. 2017. Extracting semantic relations via the combination of inferences, schemas and cooccurrences. In Proceedings of the International Conference Recent Advances in Natural Language Processing, RANLP 2017, pages 417–423, Varna, Bulgaria. INCOMA Ltd..
Cite (Informal):
Extracting semantic relations via the combination of inferences, schemas and cooccurrences (Lafourcade & Le Brun, RANLP 2017)
Copy Citation:
PDF:
https://doi.org/10.26615/978-954-452-049-6_055