State of the art Lexical Substitution in Context

## Setup

pip3 install lexsub
Release: https://pypi.org/project/lexsub/


## Background

The Lexical Substitution task involves selecting and ranking lexical paraphrases for a target word in a given sentential context. In the task, annotators and systems find an alternative substitute word or phrase for a target word in context. The task involves both finding the synonyms and disambiguating the context. To give an example:

Context: The wine was too strong to drink.
Target Word: strong

Predicted Candidates (Ranked):
powerful
potent
warm
hot
solid
hard


Powerful and potent are much better replacements as indicated by the score next to them as well. Whereas, all are viable replacement candidates given the context from a language modeling perspective.
Now notice two important things that is interesting:

• Not all synonyms fit in the context.
(direct lexical substitutions aka synonyms won’t always work)
• Not all words that fit in the context preserve the meaning of the sentence. (LM score doesn’t always correlate)

## Datasets:

A. Lexical Substitution:

B. Word Sense Disambiguation:

## Project details

Uploaded source
Uploaded py3