Embedded Systems and Applications 2022
DOI: 10.5121/csit.2022.120614
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An Evaluation Dataset for Legal Word Embedding: A Case Study on Chinese Codex

Abstract: Word embedding is a modern distributed word representations approach and widely used in many natural language processing tasks. Converting the vocabulary in a legal document into a word embedding model facilitates subjecting legal documents to machine learning, deep learning, and other algorithms and subsequently performing the downstream tasks of natural language processing vis-à-vis, for instance, document classification, contract review, and machine translation. The most common and practical approach of acc… Show more

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