Coreference Information
Coreference information, the identification of textual mentions referring to the same real-world entity, is crucial for natural language understanding, particularly in complex contexts like long documents and dialogues. Current research focuses on improving coreference resolution across diverse languages and domains, employing techniques like multi-stage and single-stage models, often leveraging pre-trained language models and incorporating external knowledge bases or visual information to enhance accuracy. These advancements are significant for improving question answering, information retrieval, and other NLP tasks, as well as for applications in areas like analyzing media bias and literary texts.
46papers
Papers
March 20, 2025
February 18, 2025
Adapting Psycholinguistic Research for LLMs: Gender-inclusive Language in a Coreference Context
Marion Bartl, Thomas Brendan Murphy, Susan LeavyInsight SFI Research Centre for Data Analytics●University College Dublin●University College DublinLegalCore: A Dataset for Event Coreference Resolution in Legal Documents
Kangda Wei, Xi Shi, Jonathan Tong, Sai Ramana Reddy, Anandhavelu Natarajan, Rajiv Jain, Aparna Garimella, Ruihong HuangTexas A&M University●Adobe Research
October 22, 2024
October 4, 2024
October 2, 2024
Bridging Context Gaps: Leveraging Coreference Resolution for Long Contextual Understanding
Yanming Liu, Xinyue Peng, Jiannan Cao, Shi Bo, Yanxin Shen, Tianyu Du, Sheng Cheng, Xun Wang, Jianwei Yin, Xuhong ZhangUnifying the Scope of Bridging Anaphora Types in English: Bridging Annotations in ARRAU and GUM
Lauren Levine, Amir Zeldes
April 16, 2024
February 1, 2024
January 31, 2024
December 30, 2023