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检索条件"机构=Research Center of High Volume Language Information Processing and Cloud Computing Applications"
120 条 记 录,以下是31-40 订阅
排序:
Cross-lingual abstractive summarization with limited parallel resources  59
Cross-lingual abstractive summarization with limited paralle...
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Joint Conference of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural language processing, ACL-IJCNLP 2021
作者: Bai, Yu Gao, Yang Huang, Heyan School of Computer Science and Technology Beijing Institute of Technology Beijing China Southeast Academy of Information Technology Fujian China Beijing Engineering Research Center of High Volume Language Information Processing and Cloud Computing Applications Beijing China
Parallel cross-lingual summarization data is scarce, requiring models to better use the limited available cross-lingual resources. Existing methods to do so often adopt sequence-to-sequence networks with multi-task fr... 详细信息
来源: 评论
DESIGN AND DEVELOPMENT OF MORPHOLOGICAL ANALYZER FOR TIGRIGNA VERBS USING HYBRID APPROACH
Research Square
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research Square 2023年
作者: Gebremeskel, Hagos Gebremedhin Chong, Feng Heyan, Huang Beijing Engineering Research Center of High Volume Language Information Processing Cloud Computing Applications Laboratory School of Computer Science and Technology Beijing Institute of Technology China Department of Computer Science Mekelle University Tigray Mekelle231 Ethiopia
Morphological analyzer is the base for various high-level NLP applications such as information retrieval, spell checking, grammar checking, machine translation, speech recognition, POS tagging and automatic sentence c... 详细信息
来源: 评论
Gleffn: A Global-Local Event Feature Fusion Network for Micro-Expression Recognition
SSRN
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SSRN 2023年
作者: Guo, Cunhan Huang, Heyan School of Emergency Management Science and Engineering University of Chinese Academy of Science Beijing China Southeast Academy of information Technology Beijing Institute of Technology Putian China Beijing Engineering Research Center of High Volume Language Information Processing and Cloud Computing Applications China
Micro-expressions are brief and subtle facial movements that reveal a person’s true emotions. However, the low frame rate of conventional cameras limits the performance of micro-expression recognition (MER) systems. ... 详细信息
来源: 评论
OneRel: Joint Entity and Relation Extraction with One Module in One Step
arXiv
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arXiv 2022年
作者: Shang, Yu-Ming Huang, Heyan Mao, Xian-Ling School of Computer Science & Technology Beijing Institute of Technology Beijing China Beijing Engineering Research Center of High Volume Language Information Processing and Cloud Computing Applications Beijing China
Joint entity and relation extraction is an essential task in natural language processing and knowledge graph construction. Existing approaches usually decompose the joint extraction task into several basic modules or ... 详细信息
来源: 评论
AttenWalker: Unsupervised Long-Document Question Answering via Attention-based Graph Walking
arXiv
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arXiv 2023年
作者: Nie, Yuxiang Huang, Heyan Wei, Wei Mao, Xian-Ling School of Computer Science and Technology Beijing Institute of Technology China Beijing Engineering Research Center High Volume Language Information Processing and Cloud Computing Applications China Beijing Institute of Technology Southeast Academy of Information Technology China Huazhong University of Science and Technology China
Annotating long-document question answering (long-document QA) pairs is time-consuming and expensive. To alleviate the problem, it might be possible to generate long-document QA pairs via unsupervised question answeri...
来源: 评论
Ask to Understand: Question Generation for Multi-hop Question Answering
arXiv
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arXiv 2022年
作者: Li, Jiawei Ren, Mucheng Gao, Yang Yang, Yizhe School of Computer Science and Technology Beijing Institute of Technology Beijing China Beijing Engineering Research Center of High Volume Language Information Processing and Cloud Computing Applications Beijing China
Multi-hop Question Answering (QA) requires the machine to answer complex questions by finding scattering clues and reasoning from multiple documents. Graph Network (GN) and Question Decomposition (QD) are two common a... 详细信息
来源: 评论
Cross-Lingual Phrase Retrieval
arXiv
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arXiv 2022年
作者: Zheng, Heqi Zhang, Xiao Chi, Zewen Huang, Heyan Yan, Tan Lan, Tian Wei, Wei Mao, Xian-Ling School of Computer Science and Technology Beijing Institute of Technology China Beijing Engineering Research Center of High Volume Language Information Processing and Cloud Computing Applications China Huazhong University of Science and Technology China
Cross-lingual retrieval aims to retrieve relevant text across languages. Current methods typically achieve cross-lingual retrieval by learning language-agnostic text representations in word or sentence level. However,... 详细信息
来源: 评论
Unsupervised Hashing with Semantic Concept Mining
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Proceedings of the ACM on Management of Data 2023年 第1期1卷 1-19页
作者: Rong-Cheng Tu Xian-Ling Mao Kevin Qinghong Lin Chengfei Cai Weize Qin Wei Wei Hongfa Wang Heyan Huang Beijing Institute of Technology Beijing Engineering Research Center of High Volume Language Information Processing and Cloud Computing Applications & Beijing Institute of Technology Southeast Academy of Information Technology Beijing China Beijing Institute of Technology Beijing China National University of Singapore Singapore Singapore Zhejiang University Zhejiang China Institute of Computing Technology Chinese Academy of Sciences Beijing China Huazhong University of Science and Technology Wuhan China
Recently, to improve the unsupervised image retrieval performance, plenty of unsupervised hashing methods have been proposed by designing a semantic similarity matrix, which is based on the similarities between image ... 详细信息
来源: 评论
ET5: A Novel End-to-end Framework for Conversational Machine Reading Comprehension
arXiv
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arXiv 2022年
作者: Zhang, Xiao Huang, Heyan Chi, Zewen Mao, Xian-Ling School of Computer Science and Technology Beijing Institute of Technology China Beijing Engineering Research Center of High Volume Language Information Processing and Cloud Computing Applications China Southeast Academy of Information Technology Beijing Institute of Technology China
Conversational machine reading comprehension (CMRC) aims to assist computers to understand an natural language text and thereafter engage in a multi-turn conversation to answer questions related to the text. Existing ... 详细信息
来源: 评论
Bridging The Gap: Entailment Fused-T5 for Open-retrieval Conversational Machine Reading Comprehension
arXiv
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arXiv 2022年
作者: Zhang, Xiao Huang, Heyan Chi, Zewen Mao, Xian-Ling School of Computer Science and Technology Beijing Institute of Technology China Beijing Engineering Research Center High Volume Language Information Processing and Cloud Computing Applications China Southeast Academy of Information Technology Beijing Institute of Technology China
Open-retrieval conversational machine reading comprehension (OCMRC) simulates real-life conversational interaction scenes. Machines are required to make a decision of Yes/No/Inquire or generate a follow-up question wh... 详细信息
来源: 评论