Zobrazeno 1 - 10
of 50
pro vyhledávání: '"Lv, Guangyi"'
Autor:
Zhang, Kun, Wu, Le, Lv, Guangyi, Chen, Enhong, Ruan, Shulan, Liu, Jing, Zhang, Zhiqiang, Zhou, Jun, Wang, Meng
Text Classification is one of the fundamental tasks in natural language processing, which requires an agent to determine the most appropriate category for input sentences. Recently, deep neural networks have achieved impressive performance in this ar
Externí odkaz:
http://arxiv.org/abs/2306.08817
Sentence semantic matching requires an agent to determine the semantic relation between two sentences, which is widely used in various natural language tasks, such as Natural Language Inference (NLI), Paraphrase Identification (PI), and so on. Much r
Externí odkaz:
http://arxiv.org/abs/2108.02915
Sentence semantic matching requires an agent to determine the semantic relation between two sentences, where much recent progress has been made by the advancement of representation learning techniques and inspiration of human behaviors. Among all the
Externí odkaz:
http://arxiv.org/abs/2106.04905
Sentence semantic matching is one of the fundamental tasks in natural language processing, which requires an agent to determine the semantic relation among input sentences. Recently, deep neural networks have achieved impressive performance in this a
Externí odkaz:
http://arxiv.org/abs/2012.08920
Sentiment lexicons are instrumental for sentiment analysis. One can use a set of sentiment words provided in a sentiment lexicon and a lexicon-based classifier to perform sentiment classification. One major issue with this approach is that many senti
Externí odkaz:
http://arxiv.org/abs/2004.14357
Autor:
Wu, Han, Zhang, Kun, Lv, Guangyi, Liu, Qi, Yu, Runlong, Zhao, Weihao, Chen, Enhong, Ma, Jianhui
Technological change and innovation are vitally important, especially for high-tech companies. However, factors influencing their future research and development (R&D) trends are both complicated and various, leading it a quite difficult task to make
Externí odkaz:
http://arxiv.org/abs/2001.08606
Akademický článek
Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
K zobrazení výsledku je třeba se přihlásit.
K zobrazení výsledku je třeba se přihlásit.
Publikováno v:
In Ecological Indicators October 2023 154
Akademický článek
Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
K zobrazení výsledku je třeba se přihlásit.
K zobrazení výsledku je třeba se přihlásit.
Recently deep neural networks have been successfully used for various classification tasks, especially for problems with massive perfectly labeled training data. However, it is often costly to have large-scale credible labels in real-world applicatio
Externí odkaz:
http://arxiv.org/abs/1811.03821