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The NLTK FrameNet API: Designing for discoverability with a rich linguistic resource

EMNLP 2017 - Conference on Empirical Methods in Natural Language Processing: System Demonstrations, Proceedings (2017) 1-6
DOI: 10.18653/v1/d17-2001
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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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APA

Schneider, N., & Wooters, C. (2017). The NLTK FrameNet API: Designing for discoverability with a rich linguistic resource. In EMNLP 2017 - Conference on Empirical Methods in Natural Language Processing: System Demonstrations, Proceedings (pp. 1–6). Association for Computational Linguistics (ACL). https://doi.org/10.18653/v1/d17-2001

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