vipulraheja/iterater
Official implementation of the paper "IteraTeR: Understanding Iterative Revision from Human-Written Text" (ACL 2022)
This project helps writers and editors understand and improve their text revision process by analyzing how documents are iteratively revised. It takes an original text and its subsequent revised versions as input, then identifies the specific types of edits made and generates new, improved text. The primary users are researchers, linguists, and anyone studying text revision patterns or building automated writing assistants.
No commits in the last 6 months.
Use this if you need to analyze how human-written text evolves through multiple revisions, categorize the intent behind those revisions (like improving clarity or fluency), or develop tools that assist with iterative text editing.
Not ideal if you are looking for an off-the-shelf grammar checker or a simple single-pass text summarization tool, as its focus is on understanding and facilitating iterative revision cycles.
Stars
80
Forks
6
Language
Python
License
Apache-2.0
Category
Last pushed
Nov 15, 2023
Commits (30d)
0
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