Contract Sentence Meaning Similarity Measure

A Contract Sentence Meaning Similarity Measure is a sentence meaning similarity measure between two or more contract sentences.

• Context:
  • Output: Contract Sentence Similarity Score.
  • It can be referenced by a Similar Contract Sentence Search System (that uses a similar contract sentence search algorithm).
  • It can involve the transformation of contract-specific sentences into vectorized representations, known as embeddings, which capture the sentences' underlying meanings with a focus on legal terminology and concepts.
  • It can support Contract-Related Tasks such as: contract content retrieval, contract analysis, legal document review, automated contract summarization, contractual risk assessment to identify or group sentences with similar meanings.
  • ...
• Example(s):
  • one based on a Contract Sentence Embedding Model.
  • Contract Sentence Similarlity ("The lessee shall not sublet any portion of the premises without the lessor's prior written consent.", “Subleasing any part of the premises requires the prior written approval of the lessor.") => 0.95.
  • Contract Sentence Similarlity ("Payment shall be due within 30 days of receiving the invoice.", “The contractor must deliver the project report by the end of the month.") => 0.53.
  • Contract Sentence Similarlity ("All intellectual property rights are retained by the provider.", “This agreement shall be governed by the laws of the State of California.") => 0.11.
  • ...
• Counter-Example(s):
  • A General Sentence Meaning Similarity Measure, which does not specifically account for the legal context or specialized terminology found in contracts.
  • A Legal Entity Recognition System, which focuses on identifying and classifying legal entities in text rather than measuring sentence similarity.
  • A Document Classification System for contracts, which categorizes entire documents rather than measuring similarity at the sentence level.
• See: Legal Document Analysis, Semantic Analysis in Law, Natural Language Processing in Legal Tech, Contract Management, Legal Information Retrieval, Contract Analysis, Legal Document Review, Automated Contract Summarization, Contractual Risk Assessment, Similar Sentences Corpus.

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References

2022

• (Sun et al., 2022) ⇒ X. Sun, Y. Meng, X. Ao, F. Wu, T. Zhang, J. Li, and others. (2022). “Sentence Similarity Based on Contexts.” In: Transactions of the Association for Computational Linguistics. MIT Press
  • NOTE: It introduces a novel framework for measuring sentence similarity based on the context, suggesting that the meaning of a word is determined by its usage in sentences, highlighting the potential for specialized applications in legal contexts.

2019

• (Farouk, 2019) ⇒ M. Farouk. (2019). “Measuring Sentences Similarity: A Survey.” arXiv preprint arXiv:1910.03940.
  • NOTE: It provides a comprehensive survey of methods for measuring sentence similarity, including potential applications in the legal domain for contract analysis.

2014

• http://alt.qcri.org/semeval2015/task1/
  • Given two sentences, the challenge includes determining whether they express the same or very similar meaning, with a focus on applications like legal document analysis for contract management.

2008

• (Achananuparp et al., 2008) ⇒ P. Achananuparp, X. Hu, and X. Shen. (2008). “The Evaluation of Sentence Similarity Measures.” In: Proceedings of DaWaK 2008 Turin, Italy, September 2-5. Springer
  • NOTE: It discusses the evaluation of various sentence similarity measures, with implications for improving the analysis of legal documents, including contracts.

2006

• (Li et al., 2006) ⇒ Y. Li, D. McLean, Z.A. Bandar, J.D. O'Shea, and K. Crockett. (2006). “Sentence Similarity Based on Semantic Nets and Corpus Statistics.” In: IEEE Transactions on Knowledge and Data Engineering.
  • NOTE: It explores the application of semantic nets and corpus statistics to compute sentence similarity, with relevance to contract sentence analysis by understanding semantic relationships within legal texts.

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