Zobrazeno 1 - 10
of 45
pro vyhledávání: '"Yantuan Xian"'
Publikováno v:
Frontiers in Physics, Vol 12 (2024)
Aspect category detection (ACD) is a basic task in sentiment analysis that aims to identify the specific aspect categories discussed in reviews. In the case of limited label resources, prompt-based models have shown promise in few-shot ACD. However,
Externí odkaz:
https://doaj.org/article/3d3c371662fa4e95884f93a97f66cc9f
Publikováno v:
Applied Sciences, Vol 13, Iss 2, p 1093 (2023)
Tremendous academic articles face serious information overload problems while supporting literature searches. Finding a research article in a relevant domain that meets researchers’ requirements is challenging. Hence, different paper recommendation
Externí odkaz:
https://doaj.org/article/d3dd8afc18734908848515199831010f
Publikováno v:
IEEE Access, Vol 7, Pp 12993-13002 (2019)
Most of the current word segmentation methods are rule-based and traditional machine learning methods. Universal word segmentation tools do not work well in the field such as metallurgy. Domain-specific Chinese word segmentation is rarely studied. In
Externí odkaz:
https://doaj.org/article/81ffdcf321594cf491d5fccd06851ad4
Publikováno v:
Applied Intelligence. 52:9650-9663
Publikováno v:
Neurocomputing. 460:166-180
Automatic summarization for legal public opinion news has been an attractive research problem in recent years. Compared with the open-domain, summarization for legal public opinion news has two essential constraints: (1) the key information (e.g., th
Publikováno v:
Journal of Intelligent & Fuzzy Systems. 40:12061-12073
It is of great significance to recognize the metallurgical entity relations in order to construct the Knowledge graph of Metallurgical Literature and to further understand the metallurgical literature. However, there are few researches on the textual
Publikováno v:
Journal of Advanced Computational Intelligence and Intelligent Informatics. 25:326-334
Entity disambiguation is extremely important in knowledge construction. The word representation model ignores the influence of the ordering between words on the sentence or text information. Thus, we propose a domain entity disambiguation method that
Publikováno v:
Frontiers of Computer Science. 16
Publikováno v:
International Journal of Information Systems in the Service Sector. 12:76-87
Extracting keywords from a text set is an important task. Most of the previous studies extract keywords from a single text. Using the key topics in the text collection, the association relationship between the topic and the topic in the cross-text, a
Publikováno v:
International Journal of Machine Learning and Cybernetics. 11:2039-2050
Automatically generate accurate summaries from legal public opinion news can help readers to grasp the main ideas of news quickly. Although many improved sequence-to-sequence models have been proposed for the abstractive text summarization task, thes