Multi-Word Lexical Simplification

Code

• github.com/piotrmp/mwls1
  OfficialIn papernone★ 6
• github.com/piotrmp/plainifier
  OfficialIn paperpytorch★ 5
• github.com/piotrmp/tersebert
  OfficialIn papertf★ 2

Abstract

In this work we propose the task of multi-word lexical simplification, in which a sentence in natural language is made easier to understand by replacing its fragment with a simpler alternative, both of which can consist of many words. In order to explore this new direction, we contribute a corpus (MWLS1), including 1462 sentences in English from various sources with 7059 simplifications provided by human annotators. We also propose an automatic solution (Plainifier) based on a purpose-trained neural language model and evaluate its performance, comparing to human and resource-based baselines.

Tasks

Reproductions