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cs.CL2024
Generative Sentiment Analysis via Latent Category Distribution and Constrained Decoding
Jun Zhou, Dongyang Yu, Kamran Aziz +4
Fine-grained sentiment analysis involves extracting and organizing sentiment elements from textual data. However, existing approaches often overlook issues of category semantic inc…
cs.CL2024
Harvesting Events from Multiple Sources: Towards a Cross-Document Event Extraction Paradigm
Qiang Gao, Zixiang Meng, Bobo Li +4
Document-level event extraction aims to extract structured event information from unstructured text. However, a single document often contains limited event information and the rol…
cs.CL2024★ 1 cited
CMNER: A Chinese Multimodal NER Dataset based on Social Media
Yuanze Ji, Bobo Li, Jun Zhou +3
Multimodal Named Entity Recognition (MNER) is a pivotal task designed to extract named entities from text with the support of pertinent images. Nonetheless, a notable paucity of da…