Methods for Recognizing Nested Terms

Igor Rozhkov, Natalia Loukachevitch
4/22/2025
cs.CL

No official code found. Best implementation: fulstock/Methods-for-Recognizing-Nested-Terms (1 star, MIT, last commit 2025-05-10).

Abstract

In this paper, we describe our participation in the RuTermEval competition devoted to extracting nested terms. We apply the Binder model, which was previously successfully applied to the recognition of nested named entities, to extract nested terms. We obtained the best results of term recognition in all three tracks of the RuTermEval competition. In addition, we study the new task of recognition of nested terms from flat training data annotated with terms without nestedness. We can conclude that several approaches we proposed in this work are viable enough to retrieve nested terms effectively without nested labeling of them.

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Code Implementations(1)

fulstock/Methods-for-Recognizing-Nested-TermsCommunity100%
MIT

Repository for Methods for Recognizing Nested Terms paper, published in Computational Linguistics and Intellectual Technologies: Proceedings of the International Conference “Dialogue 2025”

10PythonMay 7, 20251 years agoMIT

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Cite this paper

@article{rozhkov2025methods,
  title  = {Methods for Recognizing Nested Terms},
  author = {Igor Rozhkov and Natalia Loukachevitch},
  year   = {2025},
  eprint = {2504.16007},
  archivePrefix = {arXiv},
  url    = {http://arxiv.org/abs/2504.16007v2}
}

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