Methods for Recognizing Nested Terms
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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Dialogue Evaluationnamed-entity-recognitionNamed Entity RecognitionNamed Entity Recognition (NER)NERNested Named Entity RecognitionNested Term ExtractionNested Term RecognitionNested Term Recognition from Flat SupervisionTerm ExtractionMethods 이 논문이 사용한 방법론
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