SAP-samples/emnlp2021-attention-contrastive-learning
Repository supporting an accepted paper at EMNLP 2021 on attention contrastive learning.
This project offers a method to improve how computers understand ambiguous sentences, specifically those found in Winograd Schemas. It takes in text containing these tricky sentences and provides enhanced language models that are better at resolving pronoun references and common-sense reasoning. This is for researchers and developers in natural language processing working on advanced AI text comprehension.
No commits in the last 6 months.
Use this if you are a researcher or developer aiming to improve the common-sense reasoning and pronoun resolution capabilities of language models for complex linguistic challenges.
Not ideal if you are looking for a ready-to-use application or a solution outside of academic natural language processing research.
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2
Language
Python
License
Apache-2.0
Category
Last pushed
Mar 10, 2025
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