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

arXiv: https://arxiv.org/abs/1703.07438 · HTML: https://mlsanity.com/paper/1703.07438/

## Key facts

- Cited by 2 papers in the map (data through 14 Oct 2026).
- First posted on arXiv 21 Mar 2017.

## Built on by (most cited first, 2 of 2)

- [Global Instance Tracking: Locating Target More Like Humans](https://mlsanity.com/paper/2202.13073/) (2022)
- [A Computational Analysis of Vagueness in Revisions of Instructional Texts](https://mlsanity.com/paper/2309.12107/) (2023)

## Abstract (arXiv)

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.