IEEE情感计算TAC(IEEE Transactions on Affective Computing)是一份跨学科的国际档案期刊,旨在传播能够识别、解释和模拟人类情感和相关情感现象的系统设计研究成果。 官网地址:http://dblp.uni-trier.de/db/journals/taffco/

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This paper summarizes the participation of the Laboratoire Informatique, Image et Interaction (L3i laboratory) of the University of La Rochelle in the Recognizing Ultra Fine-grained Entities (RUFES) track within the Text Analysis Conference (TAC) series of evaluation workshops. Our participation relies on two neural-based models, one based on a pre-trained and fine-tuned language model with a stack of Transformer layers for fine-grained entity extraction and one out-of-the-box model for within-document entity coreference. We observe that our approach has great potential in increasing the performance of fine-grained entity recognition. Thus, the future work envisioned is to enhance the ability of the models following additional experiments and a deeper analysis of the results.

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