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pro vyhledávání: '"Bai, Yinhao"'
Autor:
Bai, Yinhao, Xie, Yalan, Liu, Xiaoyi, Zhao, Yuhua, Han, Zhixin, Hu, Mengting, Gao, Hang, Cheng, Renhong
Aspect sentiment quad prediction (ASQP) aims to predict four aspect-based elements, including aspect term, opinion term, aspect category, and sentiment polarity. In practice, unseen aspects, due to distinct data distribution, impose many challenges f
Externí odkaz:
http://arxiv.org/abs/2406.07365
Mind-map generation aims to process a document into a hierarchical structure to show its central idea and branches. Such a manner is more conducive to understanding the logic and semantics of the document than plain text. Recently, a state-of-the-art
Externí odkaz:
http://arxiv.org/abs/2312.11997
Autor:
Hu, Mengting, Bai, Yinhao, Wu, Yike, Zhang, Zhen, Zhang, Liqi, Gao, Hang, Zhao, Shiwan, Huang, Minlie
Recently, aspect sentiment quad prediction has received widespread attention in the field of aspect-based sentiment analysis. Existing studies extract quadruplets via pre-trained generative language models to paraphrase the original sentence into a t
Externí odkaz:
http://arxiv.org/abs/2306.00418
Recently, aspect sentiment quad prediction (ASQP) has become a popular task in the field of aspect-level sentiment analysis. Previous work utilizes a predefined template to paraphrase the original sentence into a structure target sequence, which can
Externí odkaz:
http://arxiv.org/abs/2210.10291
Nowadays, transformer-based models gradually become the default choice for artificial intelligence pioneers. The models also show superiority even in the few-shot scenarios. In this paper, we revisit the classical methods and propose a new few-shot a
Externí odkaz:
http://arxiv.org/abs/2209.06394
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