Zobrazeno 1 - 10
of 92
pro vyhledávání: '"Yinglong, Ma"'
Autor:
Pengfei, Gao, Yinglong, Ma
Dialog Act (DA) reveals the general intent of the speaker utterance in a conversation. Accurately predicting DAs can greatly facilitate the development of dialog agents. Although researchers have done extensive research on dialog act classification,
Externí odkaz:
http://arxiv.org/abs/2204.06185
With the rapid development of ICT Custom Services (ICT CS) in power industries, the deployed power ICT CS systems mainly rely on the experience of customer service staff for fault type recognition, questioning, and answering, which makes it difficult
Externí odkaz:
http://arxiv.org/abs/2204.06179
As a very popular multi-label classification method, Classifiers Chain has recently been widely applied to many multi-label classification tasks. However, existing Classifier Chains methods are difficult to model and exploit the underlying dependency
Externí odkaz:
http://arxiv.org/abs/2204.06138
Publikováno v:
Applied Sciences, Vol 14, Iss 12, p 5002 (2024)
Laser-targeted weeding methods further enhance the sustainable development of green agriculture, with one key technology being the improvement of weed localization accuracy. Here, we propose an improved YOLOv8 instance segmentation based on bidirecti
Externí odkaz:
https://doaj.org/article/125d8950410e498bb33066309b81bd2e
Publikováno v:
IEEE Access, Vol 7, Pp 96444-96454 (2019)
Balanced graph partitioning (BGP) has a wide range of applications that involve many large-scale distributed data processing problems. However, most of the existing approaches to parallel graph partitioning neglect the problem of the richness of impl
Externí odkaz:
https://doaj.org/article/a78e1e7316f844bc89a17f49c5a37c5b
Publikováno v:
IEEE Access, Vol 7, Pp 139616-139627 (2019)
It is of great importance for procedure retrieval to find an effective classification method of Chinese legal documents with deep semantic understanding, as the electronic documents of Chinese law have massive volume and complex structure. In this pa
Externí odkaz:
https://doaj.org/article/21478e2797074a9e949aab6742e82bf9
Publikováno v:
IEEE Access, Vol 6, Pp 71327-71338 (2018)
Efficient document classification techniques are crucial to current legal applications, such as case-based reasoning, legal citations, and so on. However, Chinese judgment documents are large and highly complex, so the traditional machine leaning-bas
Externí odkaz:
https://doaj.org/article/727105774ade44eb988159a7674f565d
Publikováno v:
IEEE Access, Vol 5, Pp 3250-3262 (2017)
Internet of Energy is considered as a promising approach to solve the problems of energy crisis and carbon emission. It needs to collect user's real-time data for optimizing the energy utilization. However, such data may disclose user's privacy infor
Externí odkaz:
https://doaj.org/article/cee46d79cdb84be7bc7f35252a9e3185
Text clustering, as one of the most fundamental challenges in unsupervised learning, aims at grouping semantically similar text segments without relying on human annotations. With the rapid development of deep learning, deep clustering has achieved s
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d355f98ddf0b450cf5a955217f917769
http://arxiv.org/abs/2304.11061
http://arxiv.org/abs/2304.11061
Aspect-based sentiment classification (ASC) is a popular task that aims to identify the corresponding emotion of a specific aspect for aspect-based sentiment analysis. Dependency parsing is currently considered as an efficient tool for recognizing th
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7a61b616e5284d09f76932c46e82f8db
https://doi.org/10.21203/rs.3.rs-2620712/v1
https://doi.org/10.21203/rs.3.rs-2620712/v1