Papers with mapping entity mentions

2 papers
Exploiting Structure in Representation of Named Entities using Active Learning (C18-1)

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Challenge: Named entities are atomic objects of reference and reasoning in many knowledge-centric applications.
Approach: They propose an active-learning based framework that drastically reduces the labeled data required to learn entities' structures.
Outcome: The proposed framework outperforms handwritten programs and supervised learning models in relation extraction and entity resolution tasks.
OpenEL: An Annotated Corpus for Entity Linking and Discourse in Open Domain Dialogue (2022.lrec-1)

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Challenge: Named entity recognition (NER), named entity linking and discourse modeling are crucial aspects of natural language understanding for open domain dialogue systems.
Approach: They present an annotated multi-domain corpus for linking entities in open-domain dialogue . they use dialogue context and anaphora resolution to assess the effectiveness of the task .
Outcome: The OpenEL corpus is an annotated multi-domain corpus for linking entities in open-domain dialogue . the system Flair + BLINK has the best performance with a 0.65 F1 score .

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