A dynamic programming algorithm for span-based nested named-entity recognition in O(n2)

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Abstract

Span-based nested named-entity recognition (NER) has a cubic-time complexity using a variant of the CYK algorithm. We show that by adding a supplementary structural constraint on the search space, nested NER has a quadratic-time complexity, that is the same asymptotic complexity than the non-nested case. The proposed algorithm covers a large part of three standard English benchmarks and delivers comparable experimental results.

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APA

Corro, C. (2023). A dynamic programming algorithm for span-based nested named-entity recognition in O(n2). In Proceedings of the Annual Meeting of the Association for Computational Linguistics (Vol. 1, pp. 10712–10724). Association for Computational Linguistics (ACL). https://doi.org/10.18653/v1/2023.acl-long.598

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