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

## TL;DR

The paper introduces a Python API within NLTK that provides easy access to the FrameNet 1.7 lexical database, enabling both programmatic processing and human-readable browsing of linguistic data.

## Contribution

It presents a new API design that enhances discoverability and usability of FrameNet data within the NLTK toolkit.

## Key findings

- API allows programmatic access to FrameNet 1.7
- Supports browsing with human-readable displays
- Facilitates linguistic research and development

## 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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Source: https://tomesphere.com/paper/1703.07438