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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:
Simulation standardization: Current state and cross-platform system for network simulators  13th
Simulation standardization: Current state and cross-platform...
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13th International Conference on Mobile Ad-hoc and Sensor Networks, MSN 2017
作者: Latif, Zohaib Sharif, Kashif Alvi, Maria K. Li, Fan School of Computer Science Beijing Institute of Technology Beijing China Research Center of High Volume Language Information Processing and Cloud Computing Applications Beijing China School of Electrical Engineering and Computer Science National University of Sciences and Technology Islamabad Pakistan
The amount of research done in the field of mobile ad hoc networks is extraordinarily large. Evaluation of protocols designed for ad hoc networks is challenging as the cost of node deployment in terms of resources req... 详细信息
来源: 评论
A Denoising Method for Distant Supervised Relation Extraction Based on Deep Clustering
A Denoising Method for Distant Supervised Relation Extractio...
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International Conference on Autonomous Unmanned Systems, ICAUS 2021
作者: Li, Hongao Sun, Xin Yang, Kaige Beijing Engineering Research Center of High Volume Language Information Processing and Cloud Computing Applications School of Computer Science and Technology Beijing Institute of Technology Beijing100081 China Beijing Institute of Technology Southeast Academy of Information Technology Fujian Putian351100 China
Distant supervision for relation extraction uses an external knowledge base as supervision signals to automatically label corpus and has attracted more and more attention. However, this method has an ideal hypothesis ... 详细信息
来源: 评论
A NEW ALGORITHM OF EXTRACTING MAXIMAL-LENGTH EVALUATION PHRASE AND COLLOCATION OF EVALUATION
A NEW ALGORITHM OF EXTRACTING MAXIMAL-LENGTH EVALUATION PHRA...
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2012 IEEE 2nd International Conference on cloud computing and Intelligence Systems
作者: Quanchao Liu Heyan Huang Changzhi Wang Chong Feng Beijing Engineering Applications Research Center of High Volume Language Information Processing and Cloud Computing Beijing Institute of Technology
We propose an algorithm of automatically identifying maximal-length evaluation (MEP) based on statistics and rules. The principle of the algorithm is that transform the problem of evaluation phrase recognition into a ... 详细信息
来源: 评论
Capturing Global Structural information in Long Document Question Answering with Compressive Graph Selector Network
Capturing Global Structural Information in Long Document Que...
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2022 Conference on Empirical Methods in Natural language processing, EMNLP 2022
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 of 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
Long document question answering is a challenging task due to its demands for complex reasoning over long text. Previous works usually take long documents as non-structured flat texts or only consider the local struct... 详细信息
来源: 评论
System Report for CCL23-Eval Task 9: Improving MRC Robustness with Overlapping Segments Generation for GCRC advRobust  22
System Report for CCL23-Eval Task 9: Improving MRC Robustnes...
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22nd Chinese National Conference on Computational Linguistics, CCL 2023
作者: He, Suzhe Yang, Chongsheng Shi, Shumin Beijing Institute of Technology Beijing Engineering Research Center of High Volume Language Information Processing and Cloud Computing Applications China
There are many challenges in machine reading comprehension when it comes to extracting semantically complete evidence for specific statement. Existing works on unsupervised evidence extraction can be mainly divided in... 详细信息
来源: 评论
A parallel recurrent neural network for language modeling with POS tags  31
A parallel recurrent neural network for language modeling wi...
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31st Pacific Asia Conference on language, information and Computation, PACLIC 2017
作者: Su, Chao Huang, Heyan Shi, Shumin Guo, Yuhang Wu, Hao School of Computer Science and Technology Beijing Institute of Technology Beijing100081 China Beijing Engineering Research Center of High Volume Language Information Processing and Cloud Computing Applications Beijing100081 China Beijing Advanced Innovation Center for Imaging Technology Capital Normal University Beijing100048 China
language models have been used in many natural language processing applications. In recent years, the recurrent neural network based language models have defeated the conventional n-gram based techniques. However, it ... 详细信息
来源: 评论
Hierarchical Domain Assignment BaseC on Word-Gloss
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China Communications 2012年 第3期9卷 19-27页
作者: 朱朝勇 黄河燕 史树敏 School of Computer Science and Technology University of Science and Technology of China School of Computer Science and Technology Beijing Institute of Technology Beijing Engineering Research Center of High Volume Language Information Processing & Cloud Computing Applications Beijing Institute of Technology
This paper proposes a hierarchical word domain assignment algorithm to automatically build domain dictionaries from Machine-Readable Dictionary(MRD).The process for word domain assignment can be divided into three ste... 详细信息
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Approximating to the Real Translation Quality for Neural Machine Translation via Causal Motivated Methods
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ACM Transactions on Asian and Low-Resource language information processing 2023年 第5期22卷 1-26页
作者: Xuewen Shi Heyan Huang Ping Jian Yi-Kun Tang School of Computer Science and Technology Beijing Institute of Technology Beijing Engineering Research Center of High Volume Language Information Processing and Cloud Computing Applications Haidian District Beijing China
It is hard to evaluate translations objectively and accurately, which limits the applications of machine translation. In this article, we assume that the above phenomenon is caused by noise interference during transla... 详细信息
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Improving neural machine translation with sentence alignment learning
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Neurocomputing 2021年 420卷 15-26页
作者: Xuewen Shi Heyan Huang Ping Jian Yi-Kun Tang 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
Neural machine translation (NMT) optimized by maximum likelihood estimation (MLE) usually lacks the guarantee of translation adequacy. To alleviate this problem, we propose an NMT approach that heightens the adequacy ... 详细信息
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Automatic Verification of Data-centric Web Service Specifications
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IERI Procedia 2013年 4卷 93-98页
作者: Zhi Fang Lejian Liao Ruoyu Chen Beijing Engineering Research Centre of High Volume Language Information Processing & Cloud Computing Applications School of Computer Science Beijing Institute of TechnologyBeijing 100081 China
Amodel are proposed for modeling data-centric Web services which are powered by relational databases and interact with users according to logical formulas specifying input constraints, control-flow constraints and sta... 详细信息
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