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

March 21, 2017 ยท Declared Dead ยท ๐Ÿ› Conference on Empirical Methods in Natural Language Processing

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Authors Nathan Schneider, Chuck Wooters arXiv ID 1703.07438 Category cs.CL: Computation & Language Citations 8 Venue Conference on Empirical Methods in Natural Language Processing Last Checked 5 months ago
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.
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