The NLTK FrameNet API: Designing for Discoverability with a Rich Linguistic Resource

Nathan Schneider, Chuck Wooters


Abstract
A new Python API, integrated within the NLTK suite, offers access to the FrameNet 1.7 lexical database. The lexicon (structured in terms of frames) as well as annotated sentences can be processed programatically, or browsed with human-readable displays via the interactive Python prompt.
Anthology ID:
D17-2001
Volume:
Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing: System Demonstrations
Month:
September
Year:
2017
Address:
Copenhagen, Denmark
Venue:
EMNLP
SIG:
SIGDAT
Publisher:
Association for Computational Linguistics
Note:
Pages:
1–6
Language:
URL:
https://www.aclweb.org/anthology/D17-2001
DOI:
10.18653/v1/D17-2001
Bib Export formats:
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PDF:
http://aclanthology.lst.uni-saarland.de/D17-2001.pdf