Zobrazeno 91 - 100
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pro vyhledávání: '"Huang, Heyan"'
Publikováno v:
In Information Processing and Management September 2023 60(5)
Akademický článek
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Autor:
Hu, Yong, Huang, Heyan, Lan, Tian, Wei, Xiaochi, Nie, Yuxiang, Qi, Jiarui, Yang, Liner, Mao, Xian-Ling
Second language acquisition (SLA) modeling is to predict whether second language learners could correctly answer the questions according to what they have learned. It is a fundamental building block of the personalized learning system and has attract
Externí odkaz:
http://arxiv.org/abs/1908.09283
The task of table structure recognition aims to recognize the internal structure of a table, which is a key step to make machines understand tables. Currently, there are lots of studies on this task for different file formats such as ASCII text and H
Externí odkaz:
http://arxiv.org/abs/1908.04729
Due to their high retrieval efficiency and low storage cost, cross-modal hashing methods have attracted considerable attention. Generally, compared with shallow cross-modal hashing methods, deep cross-modal hashing methods can achieve a more satisfac
Externí odkaz:
http://arxiv.org/abs/1907.12490
Imaging and edge detection have been widely applied and played an important role in security checking and medical diagnosis. However, as we know, most edge detection based on ghost imaging system require a large measurement times and the target objec
Externí odkaz:
http://arxiv.org/abs/1907.00550
We consider open domain event extraction, the task of extracting unconstraint types of events from news clusters. A novel latent variable neural model is constructed, which is scalable to very large corpus. A dataset is collected and manually annotat
Externí odkaz:
http://arxiv.org/abs/1906.06947
Autor:
Xing, Bowen, Liao, Lejian, Song, Dandan, Wang, Jingang, Zhang, Fuzheng, Wang, Zhongyuan, Huang, Heyan
Aspect-based sentiment analysis (ABSA) aims to predict fine-grained sentiments of comments with respect to given aspect terms or categories. In previous ABSA methods, the importance of aspect has been realized and verified. Most existing LSTM-based m
Externí odkaz:
http://arxiv.org/abs/1905.07719
Distant supervision for relation extraction is an efficient method to reduce labor costs and has been widely used to seek novel relational facts in large corpora, which can be identified as a multi-instance multi-label problem. However, existing dist
Externí odkaz:
http://arxiv.org/abs/1812.09516
Autor:
Gao, Xiaoyan, Feng, Fuli, He, Xiangnan, Huang, Heyan, Guan, Xinyu, Feng, Chong, Ming, Zhaoyan, Chua, Tat-Seng
Food recommender systems play an important role in assisting users to identify the desired food to eat. Deciding what food to eat is a complex and multi-faceted process, which is influenced by many factors such as the ingredients, appearance of the r
Externí odkaz:
http://arxiv.org/abs/1810.05032