CLMar 21, 2017
The NLTK FrameNet API: Designing for Discoverability with a Rich Linguistic Resource
arXiv:1703.07438v224 citations
AI Analysis
This provides a tool for computational linguists and NLP researchers to more easily work with FrameNet data, but it is incremental as it builds on existing resources without new methods.
The authors tackled the problem of accessing and using the FrameNet 1.7 lexical database by developing a new Python API integrated into NLTK, enabling programmatic processing and interactive browsing of frames and annotated sentences.
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.