Zobrazeno 1 - 7
of 7
pro vyhledávání: '"Yangning Li"'
Autor:
Ma, Shirong, Li, Yinghui, Sun, Rongyi, Zhou, Qingyu, Huang, Shulin, Zhang, Ding, Yangning, Li, Liu, Ruiyang, Li, Zhongli, Cao, Yunbo, Zheng, Haitao, Shen, Ying
Chinese Grammatical Error Correction (CGEC) is both a challenging NLP task and a common application in human daily life. Recently, many data-driven approaches are proposed for the development of CGEC research. However, there are two major limitations
Externí odkaz:
http://arxiv.org/abs/2210.10442
Autor:
Li, Yinghui, Ma, Shirong, Zhou, Qingyu, Li, Zhongli, Yangning, Li, Huang, Shulin, Liu, Ruiyang, Li, Chao, Cao, Yunbo, Zheng, Haitao
Chinese Spell Checking (CSC) aims to detect and correct Chinese spelling errors. Recent researches start from the pretrained knowledge of language models and take multimodal information into CSC models to improve the performance. However, they overlo
Externí odkaz:
http://arxiv.org/abs/2210.10320
Autor:
Yinghui Li, Shulin Huang, Xinwei Zhang, Qingyu Zhou, Yangning Li, Ruiyang Liu, Yunbo Cao, Hai-Tao Zheng, Ying Shen
Publikováno v:
IEEE Transactions on Knowledge and Data Engineering. :1-12
Entity Set Expansion (ESE) is a valuable task that aims to find entities of the target semantic class described by given seed entities. Various Natural Language Processing (NLP) and Information Retrieval (IR) downstream applications have benefited fr
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::706290e60af1e1c2545cfb4056677f83
https://doi.org/10.1109/tkde.2023.3275211
https://doi.org/10.1109/tkde.2023.3275211
Entity alignment (EA) for knowledge graphs (KGs) plays a critical role in knowledge engineering. Existing EA methods mostly focus on utilizing the graph structures and entity attributes (including literals), but ignore images that are common in moder
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ecc74df1f634c9e770a77a04a82a6b13
http://arxiv.org/abs/2302.08774
http://arxiv.org/abs/2302.08774
Chinese Spell Checking (CSC) task aims to detect and correct Chinese spelling errors. Recently, related researches focus on introducing character similarity from confusion set to enhance the CSC models, ignoring the context of characters that contain
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::214e0f432e77f3c44ff1bad71af0ef44
http://arxiv.org/abs/2207.09217
http://arxiv.org/abs/2207.09217
Publikováno v:
The Journal of Engineering. 2020:499-504
As a popular research topic in the area of distributed artificial intelligence, the multi-robot pursuit problem is widely used as a testbed for evaluating coordinated and cooperative strategies in multi-robot systems. This study the problem of multi-
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d1d51b9baddb68f51faafb49f43bdfd7
https://doi.org/10.1049/joe.2019.1200
https://doi.org/10.1049/joe.2019.1200
Autor:
Yinghui Li, Qingyu Zhou, Yangning Li, Zhongli Li, Ruiyang Liu, Rongyi Sun, Zizhen Wang, Chao Li, Yunbo Cao, Hai-Tao Zheng
Chinese Spell Checking (CSC) aims to detect and correct Chinese spelling errors, which are mainly caused by the phonological or visual similarity. Recently, pre-trained language models (PLMs) promote the progress of CSC task. However, there exists a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::04c5822f6c72cd10b242f06833b19e65