咨询与建议

限定检索结果

文献类型

  • 542 篇 会议
  • 392 篇 期刊文献
  • 4 册 图书

馆藏范围

  • 938 篇 电子文献
  • 0 种 纸本馆藏

日期分布

学科分类号

  • 593 篇 工学
    • 434 篇 计算机科学与技术...
    • 374 篇 软件工程
    • 133 篇 信息与通信工程
    • 66 篇 控制科学与工程
    • 54 篇 生物工程
    • 41 篇 生物医学工程(可授...
    • 37 篇 电气工程
    • 31 篇 机械工程
    • 25 篇 电子科学与技术(可...
    • 22 篇 化学工程与技术
    • 16 篇 光学工程
    • 14 篇 动力工程及工程热...
  • 367 篇 理学
    • 167 篇 物理学
    • 134 篇 数学
    • 89 篇 生物学
    • 65 篇 统计学(可授理学、...
    • 44 篇 系统科学
    • 26 篇 化学
  • 132 篇 管理学
    • 75 篇 图书情报与档案管...
    • 53 篇 管理科学与工程(可...
    • 30 篇 工商管理
  • 76 篇 医学
    • 66 篇 临床医学
    • 48 篇 基础医学(可授医学...
    • 22 篇 公共卫生与预防医...
    • 21 篇 药学(可授医学、理...
  • 52 篇 教育学
    • 38 篇 教育学
    • 25 篇 心理学(可授教育学...
  • 45 篇 法学
    • 43 篇 社会学
  • 21 篇 文学
    • 14 篇 外国语言文学
  • 17 篇 农学
  • 13 篇 经济学
    • 13 篇 应用经济学
  • 2 篇 哲学
  • 2 篇 军事学
  • 1 篇 历史学
  • 1 篇 艺术学

主题

  • 80 篇 speech recogniti...
  • 32 篇 hidden markov mo...
  • 27 篇 training
  • 24 篇 speech
  • 21 篇 semantics
  • 21 篇 humans
  • 20 篇 computer science
  • 20 篇 machine translat...
  • 20 篇 decoding
  • 20 篇 machine learning
  • 18 篇 feature extracti...
  • 16 篇 transducers
  • 14 篇 deep learning
  • 14 篇 computer aided l...
  • 14 篇 neural machine t...
  • 13 篇 natural language...
  • 13 篇 natural language...
  • 12 篇 support vector m...
  • 12 篇 computational li...
  • 11 篇 students

机构

  • 44 篇 apptek gmbh aach...
  • 36 篇 human language t...
  • 29 篇 human language t...
  • 18 篇 human language t...
  • 17 篇 institute of res...
  • 16 篇 human language t...
  • 15 篇 trustworthy huma...
  • 13 篇 department of in...
  • 12 篇 department of la...
  • 11 篇 department of co...
  • 11 篇 computer science...
  • 10 篇 human language t...
  • 9 篇 department of co...
  • 9 篇 human language t...
  • 9 篇 hkust human lang...
  • 9 篇 center for speec...
  • 9 篇 future technolog...
  • 9 篇 school of medici...
  • 8 篇 julius centre fo...
  • 8 篇 computer science...

作者

  • 139 篇 ney hermann
  • 63 篇 schlüter ralf
  • 34 篇 wu dekai
  • 33 篇 hermann ney
  • 22 篇 habernal ivan
  • 18 篇 dredze mark
  • 18 篇 hosseinzadeh meh...
  • 17 篇 ralf schlüter
  • 17 篇 pascale fung
  • 17 篇 zhou wei
  • 16 篇 rahmani amir mas...
  • 15 篇 fung pascale
  • 14 篇 gao yingbo
  • 14 篇 michel wilfried
  • 13 篇 ralf schluter
  • 12 篇 yousefpoor moham...
  • 12 篇 zeineldeen moham...
  • 12 篇 thomas fang zhen...
  • 12 篇 badriyya b.al-on...
  • 12 篇 zeyer albert

语言

  • 924 篇 英文
  • 10 篇 其他
  • 4 篇 中文
检索条件"机构=Department of Computer Science Department of Language and Human Development"
938 条 记 录,以下是321-330 订阅
排序:
Recovering traceability links in requirements documents  19
Recovering traceability links in requirements documents
收藏 引用
19th Conference on Computational Natural language Learning, CoNLL 2015
作者: Li, Zeheng Chen, Mingrui Huang, LiGuo Ng, Vincent Department of Computer Science and Engineering Southern Methodist University DallasTX75275-0122 United States Human Language Technology Institute University of Texas at Dallas RichardsonTX75083-0688 United States
Software system development is guided by the evolution of requirements. In this paper, we address the task of requirements traceability, which is concerned with providing bi-directional traceability between various re...
来源: 评论
Automated Arabic Text Classification Using Hyperparameter Tuned Hybrid Deep Learning Model
收藏 引用
computers, Materials & Continua 2023年 第3期74卷 5447-5465页
作者: Badriyya B.Al-onazi Saud S.Alotaib Saeed Masoud Alshahrani Najm Alotaibi Mrim M.Alnfiai Ahmed S.Salama Manar Ahmed Hamza Department of Language Preparation Arabic Language Teaching InstitutePrincess Nourah bint Abdulrahman UniversityP.O.Box 84428Riyadh11671Saudi Arabia Department of Information Systems College of Computing and Information SystemUmm Al-Qura UniversitySaudi Arabia Department of Computer Science College of Computing and Information TechnologyShaqra UniversityShaqraSaudi Arabia Prince Saud AlFaisal Institute for Diplomatic Studies Saudi Arabia Department of Information Technology College of Computers and Information TechnologyTaif UniversityTaif P.O.Box 11099Taif21944Saudi Arabia Department of Electrical Engineering Faculty of Engineering&TechnologyFuture University in EgyptNew Cairo11845Egypt Department of Computer and Self Development Preparatory Year DeanshipPrince Sattam bin Abdulaziz UniversityAlKharjSaudi Arabia
The text classification process has been extensively investigated in various languages,especially *** classification models are vital in several Natural language Processing(NLP)*** Arabic language has a lot of *** ins... 详细信息
来源: 评论
One size does not fit all: Investigating strategies for differentially-private learning across NLP tasks
arXiv
收藏 引用
arXiv 2021年
作者: Senge, Manuel Igamberdiev, Timour Habernal, Ivan Trustworthy Human Language Technologies Department of Computer Science Technical University of Darmstadt Germany
Preserving privacy in contemporary NLP models allows us to work with sensitive data, but unfortunately comes at a price. We know that stricter privacy guarantees in differentially-private stochastic gradient descent (... 详细信息
来源: 评论
Using ASR methods for OCR  15
Using ASR methods for OCR
收藏 引用
15th IAPR International Conference on Document Analysis and Recognition, ICDAR 2019
作者: Arora, Ashish Garcia, Paola Watanabe, Shinji Manohar, Vimal Shao, Yiwen Khudanpur, Sanjeev Chang, Chun Chieh Rekabdar, Babak Babaali, Bagher Povey, Daniel Etter, David Raj, Desh Hadian, Hossein Trmal, Jan Center for Language and Speech Processing Johns Hopkins University Baltimore United States Human Language Technology Center of Excellence Johns Hopkins University Baltimore United States Department of Computer Engineering Sharif University of Technology Iran School of Mathematics Statistics and Computer Sciences College of Science University of Tehran Iran
Hybrid deep neural network hidden Markov models (DNN-HMM) have achieved impressive results on large vocabulary continuous speech recognition (LVCSR) tasks. However, the recent approaches using DNN-HMM models are not e... 详细信息
来源: 评论
Pairwise document similarity in large collections with MapReduce  46
Pairwise document similarity in large collections with MapRe...
收藏 引用
46th Annual Meeting of the Association for Computational Linguistics: human language Technologies, ACL 2008
作者: Elsayed, Tamer Lin, Jimmy Oard, Douglas W. Human Language Technology Center of Excellence UMIACS Laboratory for Computational Linguistics and Information Processing University of Maryland College ParkMD20742 United States Department of Computer Science The iSchool College of Information Studies
This paper presents a MapReduce algorithm for computing pairwise document similarity in large document collections. MapReduce is an attractive framework because it allows us to decompose the inner products involved in... 详细信息
来源: 评论
Privacy-Preserving Models for Legal Natural language Processing
arXiv
收藏 引用
arXiv 2022年
作者: Yin, Ying Habernal, Ivan Trustworthy Human Language Technologies Department of Computer Science Technical University of Darmstadt Germany
Pre-training large transformer models with in-domain data improves domain adaptation and helps gain performance on the domain-specific downstream tasks. However, sharing models pre-trained on potentially sensitive dat... 详细信息
来源: 评论
Privacy-Preserving Graph Convolutional Networks for Text Classification
arXiv
收藏 引用
arXiv 2021年
作者: Igamberdiev, Timour Habernal, Ivan Trustworthy Human Language Technologies Department of Computer Science Technical University of Darmstadt Germany
Graph convolutional networks (GCNs) are a powerful architecture for representation learning on documents that naturally occur as graphs, e.g., citation or social networks. However, sensitive personal information, such... 详细信息
来源: 评论
FEATURE COMBINATION AND STACKING OF RECURRENT AND NON-RECURRENT NEURAL NETWORKS FOR LVCSR
FEATURE COMBINATION AND STACKING OF RECURRENT AND NON-RECURR...
收藏 引用
IEEE International Conference on Acoustics, Speech, and Signal Processing
作者: Christian Plahl Michael Kozielski Ralf Schluter Hermann Ney Human Language Technology and Pattern Recognition Computer Science Department RWTH Aachen University
This paper investigates the combination of different short-term features and the combination of recurrent and non-recurrent neural networks (NNs) on a Spanish speech recognition task. Several methods exist to combine ... 详细信息
来源: 评论
The Legal Argument Reasoning Task in Civil Procedure
arXiv
收藏 引用
arXiv 2022年
作者: Bongard, Leonard Held, Lena Habernal, Ivan Trustworthy Human Language Technologies Department of Computer Science Technical University of Darmstadt Germany
We present a new NLP task and dataset from the domain of the U.S. civil procedure. Each instance of the dataset consists of a general introduction to the case, a particular question, and a possible solution argument, ...
来源: 评论
Generating high-coverage semantic orientation lexicons from overtly marked words and a thesaurus
Generating high-coverage semantic orientation lexicons from ...
收藏 引用
2009 Conference on Empirical Methods in Natural language Processing, EMNLP 2009, Held in Conjunction with ACL-IJCNLP 2009
作者: Mohammad, Saif Dunne, Cody Dorr, Bonnie Laboratory for Computational Linguistics and Information Processing University of Maryland United States Human-Computer Interaction Lab. University of Maryland United States Institute for Advanced Computer Studies University of Maryland United States Department of Computer Science University of Maryland United States Human Language Technology Center of Excellence United States
Sentiment analysis often relies on a semantic orientation lexicon of positive and negative words. A number of approaches have been proposed for creating such lexicons, but they tend to be computationally expensive, an... 详细信息
来源: 评论