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检索条件"机构=JiangSu Provincial Key Lab. for Computer Information Processing Technology"

共 248 条记录，以下是161-170 订阅

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Topic-driven multi-document summarization

Topic-driven multi-document summarization

引用

International Conference on Asian Language processing

作者： Wang, Hongling Zhou, Guodong Jiangsu Provincial Key Lab. for Computer Information Processing Technology School of Computer Science and Technology Soochow University Suzhou 215006 China

ISBN: (纸本)9780769542881

This paper presents a topic-driven framework for generating a generic summary from multi-documents. Our approach is based on the intuition that, from the statistical point of view, the summary's probability distribution over the topics should be consistent with the multi-documents'probability distribution over the inherent topics. Here, the topics are defined as weighted "bag-of-words" and derived by Latent Dirichlet Allocation from a collection of documents, either the given multi-documents or a related large-scale corpus. In this sense, we could represent various kinds of text units, such as word, sentence, summary, document and multi-documents, using a single vector space model via their corresponding probability distributions over the derived topics. Therefore, we are able to extract a sentence or summary by calculating the similarity between a sentence/summary and the given multi-documents via their topic probability distributions. In particular, we propose two methods in similarity measurement: the static method and the dynamic method. While the former is employed to detect the salience of information in a static way, the later further controls redundancy in a dynamic way. In addition, we integrate various popular features to improve the performance. Evaluation on the TAC 2008 update summarization task shows encouraging results. © 2010 IEEE.

关键词： Probability distributions

来源：评论

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Dependency-driven feature-based learning for extracting protein-protein interactions from biomedical text

Dependency-driven feature-based learning for extracting prot...

引用

23rd International Conference on Computational Linguistics, Coling 2010

作者： Liu, Bing Qian, Longhua Wang, Hongling Zhou, Guodong Jiangsu Provincial Key Lab for Computer Information Processing Technology School of Computer Science and Technology Soochow University China

Recent kernel-based PPI extraction systems achieve promising performance because of their capability to capture structural syntactic information, but at the expense of computational complexity. This paper incorporates dependency information as well as other lexical and syntactic knowledge in a feature-based framework. Our motivation is that, considering the large amount of biomedical literature being archived daily, feature-based methods with comparable performance are more suitable for practical applications. Additionally, we explore the difference of lexical characteristics between biomedical and newswire domains. Experimental evaluation on the AIMed corpus shows that our system achieves comparable performance of 54.7 in F1-Score with other state-of-the-art PPI extraction systems, yet the best performance among all the feature-based ones.

关键词： Syntactics

来源：评论

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Dependency-driven anaphoricity determination for coreference resolution

Dependency-driven anaphoricity determination for coreference...

引用

23rd International Conference on Computational Linguistics, Coling 2010

作者： Kong, Fang Zhou, Guodong Qian, Longhua Zhu, Qiaoming JiangSu Provincial Key Lab for Computer Information Processing Technology School of Computer Science and Technology Soochow University China

This paper proposes a dependency-driven scheme to dynamically determine the syntactic parse tree structure for tree kernel- based anaphoricity determination in coreference resolution. Given a full syntactic parse tree, it keeps the nodes and the paths related with current mention based on constituent dependencies from both syntactic and semantic perspectives, while removing the noisy information, eventually leading to a dependency-driven dynamic syntactic parse tree (D-DSPT). Evaluation on the ACE 2003 corpus shows that the D-DSPT outperforms all previous parse tree structures on anaphoricity determination, and that applying our anaphoricity determination module in coreference resolution achieves the so far best performance.

关键词： Syntactics

来源：评论

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Dependency tree-based anaphoricity determination for coreference resolution

Dependency tree-based anaphoricity determination for corefer...

引用

International Conference on Asian Language processing

作者： Kong, Fang Zhou, Jianmei Zhou, Guodong Zhu, Qiaoming JiangSu Provincial Key Lab. for Computer Information Processing Technology China School of Computer Science and Technology Soochow University Suzhou China Computer Science and Technology School NanTong University NanTong China

ISBN: (纸本)9780769542881

This paper proposes a new scheme to determine the tree span structure for tree kernel-based anaphoricity determination in coreference resolution. Given a sentence and current mention, it gets all the dependencies, encodes the order of all the words, constructs the corresponding dependency tree and keeps the nodes and the paths related with current mention based on constituent dependencies, while removing the noisy information, eventually leading to a dynamical dependency tree (DDT). Evaluation on the ACE 2003 corpus shows that the DDT is effective for anaphoricity determination, and that applying our anaphoricity determination module in coreference resolution achieves the improvement of performance. © 2010 IEEE.

关键词： Anaphoricity determination Coreference resolution Dependency tree Coreference Resolution DDT DEPENDENCE

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Assessment of rotamer library for protein structure prediction

Assessment of rotamer library for protein structure predicti...

引用

2nd International Conference on information Science and Engineering, ICISE2010

作者： Huang, Xu Lü, Qiang Miao, Dajun Qian, Peide School of Computer Science and Technology Soochow University Suzhou 215006 China Jiangsu Provincial Key Lab for Information Processing Technologies Suzhou 215006 China

ISBN: (纸本)9781424480968

Side chain packing is a crucial step for protein structure prediction. And the quality of rotamer library has important implications in side chain packing. This paper assess dunbrack rotamer libraries and simple sampling rotamer libraries for certain structures by comparing the native structure and solutions come from rotamer libraries. Results of eleven hard targets in CASP9 show that the best solution is near to the native structure. Otherwise, there is no native structure in protein structure *** compare the best solutions which choosing by lower RMSD and energy, it shows that the best solution which choosing by lower energy is near to the best solution which choosing by low RMSD. So, in the case of unknown native structure, the energy guided choosing is necessary, but it must adopt some other method such as clustering to select the best solution. © 2010 IEEE.

关键词： Chains

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The application of flash into M-learning in 3G initial stage

The application of flash into M-learning in 3G initial stage

引用

2010 3rd International Symposium on Knowledge Acquisition and Modeling, KAM 2010

作者： Tang, Yue-Ming Liu, Quan Wang, Ling-Ling Department of Educational Technology Henan Normal University Xinxiang Henan Province China Institute of Computer Science and Technology Provincial Key Laboratory for Computer Information Processing Technology Soochow University Suzhou Jiangsu Province China

ISBN: (纸本)9781424480050

With the development of the 3G technology, M-learning enters a period of rapid development. But meanwhile 3G also restrains the development of M-Iearning due to several drawbacks in its early days. According to the application analysis, it comes out Flash has its unique features: small capacity, easy to develop high-quality and etc, which can make up for 3G initial stage's disadvantages. Through case design, this paper proves that Flash can be a new effective approach and way for M-Iearning in the 3G network. In the end, from the aspects of technical and artistic, this paper makes a further research on how to improve the flash animation to serve the M-Iearning better. © 2010 IEEE.

关键词： E-learning

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Adaptive resampling in particle filter based on diversity measures

Adaptive resampling in particle filter based on diversity me...

引用

International Conference on computer Science and Education

作者： Yu, Jin-Xia Liu, Wen-Jing Tang, Yong-Li College of Computer Science and Technology Henan Polytechnic University Jiaozuo 454003 China Jiangsu Provincial Key Lab. of Image Processing and Image Communication Nanjing University of Posts and Communication Nanjing 210003 China Department of Computer Science and Technology Tsinghua University Beijing 100084 China

ISBN: (纸本)9781424460052

It is very important to find a criterion when to perform a resampling step. Aimed at this problem, an adaptive resampling algorithm in particle filter based on diversity measures is presented. Based on the analysis and comparison of two diversity measures that are effective sample size (ESS) and population diversity factor(PDF), the resampling algorithm based on ESS is introduced. On the basis of that, PDF is used for adaptively tuning the resampling threshold. At last, with the simulation program using matlab.7.0 to track a single target motion from a fixed visual observation points, the performance of the proposed algorithm is evaluated and its validity is verified. ©2010 IEEE.

关键词： MATlab

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Construction of a Sequence- and Backbone-Dependent Rotamer Library by Hidden-Markov Model

Construction of a Sequence- and Backbone-Dependent Rotamer L...

引用

International Conference on Bioinformatics and Biomedical Engineering (ICBBE)

作者： Wei Wen Qiang Qiang Lü Peng Yang Lingyun Yang Jinzhen Wu Xu Huang School of Computer Science and Technology Soochow University Suzhou China Information Processing Technology Jiangsu Provincial Key Lab for Computer Suzhou China

Sidechain prediction is an important subproblem of protein design and structure prediction. Construction of rotamer library is the basis for protein sidechain prediction because it provides the basic searching space for prediction. However, the state-of-the-art rotamer libraries focus on the statistical information of individual amino acids, ignoring the direct affection of its adjacent amino acids. This article presents a sequence- and backbone-dependent rotamer library. Both the conformation information of adjacent amino acids and torsion angle of the current residue are taken into account to construct a sequence- and backbone-dependent library by HMM. Evaluation on all 13 free modeling targets of CASP8 based on our rotamer library is conducted. Comparing with side-chain prediction based on the state-of-the-art rotamer library, our library outperforms the sidechain prediction accuracy on all the test targets to a certain extent.

关键词： Libraries Proteins Spine Amino acids Bayesian methods Hidden Markov models Predictive models Space technology Accuracy Statistical analysis

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Topic-Driven Multi-document Summarization

Topic-Driven Multi-document Summarization

引用

International Conference on Asian Language processing (IALP)

作者： Hongling Wang Guodong Zhou Jiangsu Provincial Key Laboratory of Computer Information Processing Technology School of Computer Science and Technology Soochow University Suzhou China

This paper presents a topic-driven framework for generating a generic summary from multi-documents. Our approach is based on the intuition that, from the statistical point of view, the summary's probability distribution over the topics should be consistent with the multi-documents' probability distribution over the inherent topics. Here, the topics are defined as weighted “bag-of-words” and derived by Latent Dirichlet Allocation from a collection of documents, either the given multi-documents or a related large-scale corpus. In this sense, we could represent various kinds of text units, such as word, sentence, summary, document and multi-documents, using a single vector space model via their corresponding probability distributions over the derived topics. Therefore, we are able to extract a sentence or summary by calculating the similarity between a sentence/summary and the given multi-documents via their topic probability distributions. In particular, we propose two methods in similarity measurement: the static method and the dynamic method. While the former is employed to detect the salience of information in a static way, the later further controls redundancy in a dynamic way. In addition, we integrate various popular features to improve the performance. Evaluation on the TAC 2008 update summarization task shows encouraging results.

关键词： Probability distribution Redundancy Semantics Strontium Resource management Mathematical model

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Adaptive Mutation particle filter based on diversity guidance

Adaptive Mutation particle filter based on diversity guidanc...

引用

International Conference on Machine Learning and Cybernetics

作者： Yu, Jin-Xia Tang, Yong-Li Liu, Wen-Jing College of Computer Science and Technology Henan Polytechnic University Jiaozuo 454003 China Jiangsu Provincial Key Lab of Image Processing and Image Communication Nanjing University of Posts and Communication Nanjing 210003 China Department of Computer Science and Technology Tsinghua University Beijing 100084 China

ISBN: (纸本)9781424465262

Aimed at the deficiency of the resampling algorithm in PF, diversity measures ESS (effective sample size) and PDF (population diversity factor) are evaluated respectively. Combined with the estimation result, diversity measures PDF is used for adaptively tuning the resampling threshold. By integrating the operation of particle mutation after resampling into PF and using the above mechanism of diversity guidance, the AMPF algorithm (Adaptive Mutation PF) is presented so as to assure the diversity of particle sets. With the simulation program using matlab.7.0 to track a single target motion from a fixed visual observation points, the performance of diversity measures and AMPF are evaluated and the validity of the proposed method is verified. © 2010 IEEE.

关键词： Monte Carlo methods

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