2017
EMNLP
EMNLP 2017
The NLTK FrameNet API: Designing for Discoverability with a Rich Linguistic Resource
Abstract
AbstractA 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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Keyword Pioneer
— linguistic resource
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Hot Topic Early Bird
— lexical semantics
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Cross-Pollinator
— Artificial Intelligence, Computer Science, Computer Vision, Data Science & Analytics, Deep Learning, Healthcare & Medicine, Interdisciplinary, Knowledge & Reasoning, Machine Learning, Mathematics & Optimization, Natural Language Processing, Reinforcement Learning, Security & Privacy, Speech & Audio