Legal Natural Language Inference (NLI) Task

A Legal Natural Language Inference (NLI) Task is a natural language inference task that is a legal NLP task.

• Context:
  • It can be based on a Legal NLI Benchmark Task.
  • ...
• Example(s):
  • a Legal Contract NLI Task, such as:
    • a CUAD Benchmark Task, (Hendrycks et al., 2021).
    • a ContractNLI Benchmark Task, (Koreeda & Manning, 2021).
  • ...
• Counter-Example(s):
  • Medical NLI Task, over a medical corpus.
  • Biomedical NLI Task, over biomedical corpus.
• See: Legal Annotated Corpus.

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References

2021

• (Koreeda & Manning, 2021) ⇒ Yuta Koreeda, and Christopher D. Manning. (2021). “ContractNLI: A Dataset for Document-level Natural Language Inference for Contracts.” In: Findings of the Association for Computational Linguistics: EMNLP 2021.
  • ABSTRACT: Reviewing contracts is a time-consuming procedure that incurs large expenses to companies and social inequality to those who cannot afford it. In this work, we propose "document-level natural language inference (NLI) for contracts", a novel, real-world application of NLI that addresses such problems. ...

2021

• (Hendrycks et al., 2021) ⇒ Dan Hendrycks, Collin Burns, Anya Chen, and Spencer Ball. (2021). “CUAD: An Expert-annotated Nlp Dataset for Legal Contract Review.” arXiv preprint arXiv:2103.06268
  • ABSTRACT: Many specialized domains remain untouched by deep learning, as large labeled datasets require expensive expert annotators. We address this bottleneck within the legal domain by introducing the Contract Understanding Atticus Dataset (CUAD), a new dataset for legal contract review. ...

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