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检索条件"机构=Jiangsu Provincial Key Lab. for Computer Information Processing Technologies"

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Context-Sensitive Convolution Tree Kernel for Pronoun Resolution 3

Context-Sensitive Convolution Tree Kernel for Pronoun Resolu...

引用

3rd International Joint Conference on Natural Language processing, IJCNLP 2008

作者： Zhou, GuoDong Kong, Fang Zhu, Qiaoming JiangSu Provincial Key Lab for Computer Information Processing Technology School of Computer Science and Technology Soochow Univ. Suzhou215006 China

This paper proposes a context-sensitive convolution tree kernel for pronoun resolution. It resolves two critical problems in previous researches in two ways. First, given a parse tree and a pair of an anaphor and an antecedent candidate, it implements a dynamic-expansion scheme to automatically determine a proper tree span for pronoun resolution by taking predicate- and antecedent competitor-related information into consideration. Second, it applies a context-sensitive convolution tree kernel, which enumerates both context-free and context-sensitive sub-trees by considering their ancestor node paths as their contexts. Evaluation on the ACE 2003 corpus shows that our dynamic-expansion tree span scheme can well cover necessary structured information in the parse tree for pronoun resolution and the context- sensitive tree kernel much outperforms previous tree kernels. © 2008 IJCNLP 2008 - 3rd International Joint Conference on Natural Language processing, Proceedings of the Conference. All rights reserved.

关键词： Convolution

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Semi-Supervised Learning for Relation Extraction 3

Semi-Supervised Learning for Relation Extraction

引用

3rd International Joint Conference on Natural Language processing, IJCNLP 2008

作者： Zhou, Guo Dong Li, Jun Hui Qian, Long Hua Zhu, Qiaoming Jiangsu Provincial Key Lab for Computer Information Processing Technology School of Computer Science and Technology Soochow Univ. Suzhou215006 China

This paper proposes a semi-supervised learning method for relation extraction. Given a small amount of lab.led data and a large amount of unlab.led data, it first bootstraps a moderate number of weighted support vectors via SVM through a co-training procedure with random feature projection and then applies a lab.l propagation (LP) algorithm via the bootstrapped support vectors. Evaluation on the ACE RDC 2003 corpus shows that our method outperforms the normal LP algorithm via all the availab.e lab.led data without SVM bootstrapping. Moreover, our method can largely reduce the computational burden. This suggests that our proposed method can integrate the advantages of both SVM bootstrapping and lab.l propagation.s. © 2008 IJCNLP 2008 - 3rd International Joint Conference on Natural Language processing, Proceedings of the Conference. All rights reserved.

关键词： Extraction

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Dependency tree-based anaphoricity determination for coreference resolution

Dependency tree-based anaphoricity determination for corefer...

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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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Semi-supervised learning for semantic relation classification using stratified sampling strategy

Semi-supervised learning for semantic relation classificatio...

引用

2009 Conference on Empirical Methods in Natural Language processing, EMNLP 2009, Held in Conjunction with ACL-IJCNLP 2009

作者： Qian, Longhua Zhou, Guodong Kong, Fang Zhu, Qiaoming Jiangsu Provincial Key Lab for Computer Information Processing Technology School of Computer Science and Technology Soochow University 1 Shizi Street Suzhou 215006 China

This paper presents a new approach to selecting the initial seed set using stratified sampling strategy in bootstrapping-based semi-supervised learning for semantic relation classification. First, the training data is partitioned into several strata according to relation types/subtypes, then relation instances are randomly sampled from each stratum to form the initial seed set. We also investigate different augmentation strategies in iteratively adding reliable instances to the lab.led set, and find that the bootstrapping procedure may stop at a reasonable point to significantly decrease the training time without degrading too much in performance. Experiments on the ACE RDC 2003 and 2004 corpora show the stratified sampling strategy contributes more than the bootstrapping procedure itself. This suggests that a proper sampling strategy is critical in semi-supervised learning. © 2009 ACL and AFNLP.

关键词： Supervised learning

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An access control model in lager-scale P2P file sharing systems

An access control model in lager-scale P2P file sharing syst...

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7th International Conference on Computational Science (ICCS 2007)

作者： Yue Guang-xue Yu Fei Chen Li-ping Chen Yi-jun College of Information Engineering Jiaxing University 314000 China Department of Computer Science and Technology Huaihua University 418000 China State Key Lab. for Novel Software Technology Nanjing University 210093 China Jiangsu Provincial Key Laboratory of Computer Information Processing Technology Suzhou University 2150063 China

ISBN: (纸本)9783540725893

In lager-scale P2P file sharing systems, peers often must interact with unknown or unfamiliar peers without the benefit of trusted third parties or authorities to mediate the interactions. The decentralized and anonymous characteristics of P2P environments make the task of controlling access to sharing information more difficult. In this paper, we identify access control requirements and propose a trust based access control framework for P2P file-sharing systems. The model integrates aspects of trust and recommendation, fairness based participation schemes and access control schemes.

关键词： Distributed computer systems

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Predicting helix boundaries of α-helix transmembrane protein with feedback conditional random fields 11th

Predicting helix boundaries of α-helix transmembrane protei...

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11th International Conference on Intelligent Computing, ICIC 2015

作者： Wang, Kun Wu, Hongjie Lu, Weizhong Fu, Baochuan Lü, Qiang Huang, Xu School of Electronic and Information Engineering Suzhou University of Science and Technology Suzhou215009 China School of Computer Science and Technology Soochow University Suzhou215006 China Jiangsu Provincial Key Lab for Information Processing Technologies Suzhou215006 China School of Information Engineering Huzhou University Huzhou313000 China

ISBN: (纸本)9783319221793

Transmembrane proteins play an important role in cellular energy production, signal transmission, metabolism. Existing machine learning methods are difficult to model the global correlation of the membrane protein sequence, and they also can not improve the quality of the model from sophisticated sequence features. To address these problems, in this paper we proposed a novel method by a feedback conditional random fields (FCRF) to predict helix boundaries of α-helix transmembrane protein. A feedback mechanism was introduced into multi-level conditional random fields. The results of lower level model were used to calculate new feedback features to enhance the ability of basic conditional random fields. One wide-used dataset DB1 was used to validate the performance of the method. The method achieved 95% on helix location accuracy. Compared with the other predictors, FCRF ranks first on the accuracy of helix location. © Springer International Publishing Switzerland 2015.

关键词： Learning systems

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Semantic role lab.ling using Chinese dependency parsing tree

Semantic role labeling using Chinese dependency parsing tree

引用

IEEE International Conference on Intelligent Computing and Intelligent Systems (ICIS)

作者： Hongling Wang Xiaohong Yuan Guodong Zhou Jiangsu Provincial Key Lab for Computer Information Processing Technology Soochow University Suzhou China

Although recent years have seen much progress in semantic role lab.ling in English, only a little research focuses on Chinese dependency relationship. This paper presents an SRL system on Chinese dependency relation by using the similar method in an English SRL system. We also explore dependency-based predicate analysis in Chinese SRL. We perform our experiments on two datasets. Our results show that dependency-based Chinese SRL is not only feasible but also superior to the constituent-based SRL in some respects.

关键词： lab.ling Gold information processing computer science Data mining Feature extraction Educational programs Performance analysis Natural languages

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A VERIFIABLE MULTI-SECRET SHARING SCHEME

A VERIFIABLE MULTI-SECRET SHARING SCHEME

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2009中国宁波国际计算机科学与技术学术大会

作者： Yong Wang Yanqin Zhu Xizhao Luo School of Computer Science and Technology Soochow University Jiangsu Provincial Key Lab of Computer Information Processing Technology

YCH scheme is a multi-secret sharing scheme based on two-variable one-way function and Shamir's threshold secret sharing scheme,but the scheme does not have the property of *** paper presents a verifiable multi-secret sharing scheme based on YCH scheme,RSA cryptosystem,and Schnorr *** dose not need a secure channel and each participant chooses his secret shadow by himself,and it can defend positive attack of dealer and participants.

关键词： Multi-Secret Sharing RSA Cryptosystem Schnorr Signature Verification

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AN IMPROVED(k,m)-DOT1n SCHEME FOR ARBITRARY K

AN IMPROVED(k,m)-DOT1n SCHEME FOR ARBITRARY K

引用

2009中国宁波国际计算机科学与技术学术大会

作者： Juan Xie Yanqin Zhu Xizhao Luo School of Computer Science and Technology Soochow University Jiangsu Provincial Key Lab of Computer Information Processing Technology

In (k,m) -DOT1n scheme, the sender's privacy can not be guaranteed,even if the protocol itself is security,if we can not ensure that a receiver gets information from at most k *** Naor and Pinkas's scheme, they give two solutions that are applicable for the case k >m/2,in Nikov et al.'s scheme, they avoid this problem by means of implementing a m-out-of-m access *** this paper,we put forward a settlement for arbitrary k, in which the receiver only can choose k servers to interactive and solve the problem getting the desired security.

关键词： Distributed Oblivious Transfer Polynomial Interpolation Privacy Preserving

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The Applications of Generalized Computing In Knowledge Management

The Applications of Generalized Computing In Knowledge Manag...

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2005年公共管理国际会议

作者： YAO Min SHEN Bin ZHANG Yan-gu College of Computer Zhejiang University Provincial Key Lab. for Computer Information processing Technology in Jiangsu Suzhou University School of Computer Wenzhou Normal College

Generalized computing is a new kind of intelligent computing systems, which combines symbolic intelligence and computational intelligence (including neural computing, fuzzy computing and evolutional computing) together. By introducing generalized computing into knowledge management, this paper presents a kind of knowledge decision-making model, and a kind of control model of enterprise knowledge flow.

关键词： Generalized computing, Knowledge management, Enterprise management

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