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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51-60 订阅
排序:
Concolic Execute Fuzzing Based on Control-Flow Analysis
Concolic Execute Fuzzing Based on Control-Flow Analysis
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International Conference on Computational Intelligence and Security
作者: Jingxi Li Xin Xu Lejian Liao Lu Li Beijing Engineering Research Center of High Volume Language Information Processing & Cloud Computing Applications Beijing Institute of Technology Beijing China DISECC Beijing China
This paper proposes a method which utilizing taint analysis to reduce the unnecessary analysis routine, concentrating on the control-flow altering input using concolic (concrete and symbolic) execution procedure. A pr... 详细信息
来源: 评论
Momentum Decoding: Open-ended Text Generation As Graph Exploration
arXiv
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arXiv 2022年
作者: Lan, Tian Su, Yixuan Liu, Shuhang Huang, Heyan 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
Open-ended text generation with autoregressive language models (LMs) is one of the core tasks in natural language processing. However, maximization-based decoding methods (e.g., greedy/beam search) often lead to the d... 详细信息
来源: 评论
Topical sentence embedding for query focused document summarization
Topical sentence embedding for query focused document summar...
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2017 IJCAI Workshop on Semantic Machine Learning, SML 2017
作者: Gao, Yang Wei, Linjing Huang, Heyan Liu, Qian Beijing Eng. Res. Ctr. of High Vol. Language Information Processing and Cloud Computing Applications China BIT Beijing Advanced Innovation Center for Imaging Technology Capital Normal University China
Distributed vector representation for sentences have been utilized in summarization area, since it simplifies semantic cosine calculation between sentence to sentence as well as sentence to document. Many extension wo... 详细信息
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Utilizing Crowdsourcing for the Construction of Chinese-Mongolian Speech Corpus with Evaluation Mechanism
Utilizing Crowdsourcing for the Construction of Chinese-Mong...
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The Third International Conference of Pioneering Computer Scientists, Engineers and Educators,ICPCSEE 2017(originally ICYCSEE)
作者: Rihai Su Shumin Shi Meng Zhao Heyan Huang School of Computer Sciences and Technology Beijing Institute of Technology Beijing Engineering Research Centre of High Volume Language Information Processing and Cloud Computing Applications
Crowdsourcing has been used recently as an alternative to traditional costly annotation by many natural language processing groups. In this paper, we explore the use of Wechat Official Account Platform(WOAP) in order ... 详细信息
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Neural Chinese word segmentation as sequence to sequence translation
arXiv
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arXiv 2019年
作者: Shi, Xuewen Huang, Heyan Jian, Ping Guo, Yuhang Wei, Xiaochi Tang, Yikun 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
Recently, Chinese word segmentation (CWS) methods using neural networks have made impressive progress. Most of them regard the CWS as a sequence labeling problem which construct models based on local features rather t... 详细信息
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Concept pointer network for abstractive summarization
arXiv
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arXiv 2019年
作者: Wenbo, Wang Yang, Gao Heyan, Huang Yuxiang, Zhou 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
A quality abstractive summary should not only copy salient source texts as summaries but should also tend to generate new conceptual words to express concrete details. Inspired by the popular pointer generator sequenc... 详细信息
来源: 评论
Tag recommendation by word-level tag sequence modeling
arXiv
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arXiv 2019年
作者: Shi, Xuewen Huang, Heyan Zhao, Shuyang Jian, Ping Tang, Yi-Kun 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
Recently, neural network based tag recommendation has gained much attention. Most of these methods regard tag recommendation as multi-label classification. They treat different tags as individual categories with fixed... 详细信息
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A hierarchy-based constraint dependency grammar parsing for Chinese
A hierarchy-based constraint dependency grammar parsing for ...
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International Conference on Audio, language and Image processing, ICALIP
作者: Peng Li Lejian Liao Xin Li Beijing Engineering Research Centre of High Volume Language Information Processing & Cloud Computing Applications School of Computer Science Beijing Institute of Technology Beijing China
Constraint Dependency Grammar (CDG) is a well known formalism which represents the grammatical rules as constraints on dependency relations. It reduces the structural ambiguities via constraint-propagation instead of ... 详细信息
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QACtools: A Quality Assessment and Quality Control Tool for Next-Generation Sequencing Data
QACtools: A Quality Assessment and Quality Control Tool for ...
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2015年中国智能自动化学术会议
作者: Dandan Song Ning Li Lejian Liao Beijing Lab of Intelligent Information Technology School of Computer Science and Technology Beijing Engineering Research Center of High Volume Language Information Processing and Cloud Computing Applications Beijing Institute of Technology
In recent years, next-generation sequencing technologies have been widely used, and are rapidly changing the landscape of genetics with unimaginable speed. However, the preliminary quality control regulations includin... 详细信息
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Dynamic Regret with Unknown Delays
SSRN
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SSRN 2023年
作者: Wu, Ping Liu, Zhengyang Lu, Haolin Huang, Heyan 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 China
We study the problem of online convex optimization in dynamic environments with unknown and arbitrary delays. Without delays, existing work has achieved the optimal $\Theta(\sqrt{(1+\Delta_T)T})$ regret bound for any ... 详细信息
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