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5th International Joint Conference on Natural Language processing, IJCNLP 2011

作者： Che, Wanxiang Liu, Ting Research Center for Social Computing and Information Retrieval MOE-Microsoft Key Laboratory of Natural Language Processing and Speech School of Computer Science and Technology Harbin Institute of Technology China

ISBN: (纸本)9789744665645

Word Sense Disambiguation (WSD) is one of the fundamental natural language processing tasks. However, lack of training corpora is a bottleneck to construct a high accurate all-words WSD system. Annotating a large-scale corpus by experts costs enormous time and financial resources. Human Computation is a novel idea for integrating human resources behind the Web, which has been wasted, to solve practical problems that are difficult for computers. Based on human computation, we design a confirmation code system, which can not only distinguish between human beings and computers (the function of normal confirmation code system), but also annotate WSD corpora. The preliminary experimental result shows that the proposed method can annotate large-scale and high-quality WSD corpora within a short time. To the best of our knowledge, this is the first attempt to use confirmation code in natural language processing for corpora acquisition. © 2011 AFNLP

关键词： Natural language processing systems

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Improving Chinese POS Tagging with Dependency Parsing 5

Improving Chinese POS Tagging with Dependency Parsing

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5th International Joint Conference on Natural Language processing, IJCNLP 2011

作者： Li, Zhenghua Che, Wanxiang Liu, Ting Research Center for Social Computing and Information Retrieval MOE-Microsoft Key Laboratory of Natural Language Processing and Speech School of Computer Science and Technology Harbin Institute of Technology China

ISBN: (纸本)9789744665645

Recent research usually models POS tagging as a sequential labeling problem, in which only local context features can be used. Due to the lack of morphological inflections, many tagging ambiguities in Chinese are difficult to handle unless consulting larger contexts. In this paper, we try to improve Chinese POS tagging by using long-distance dependencies produced by a statistical dependency parser. Experimental results show that, despite error propagation, the syntactic features can significantly improve the tagging accuracy from 93.88% to 94.41% (p -5). Detailed analysis shows that these features are helpful for ambiguous pairs like {NN,VV} and {DEC,DEG}. © 2011 AFNLP

关键词： Syntactics

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A general framework for rule acquisition based on tolerance granular computing in IIDSs

A general framework for rule acquisition based on tolerance ...

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2011 IEEE International Conference on Granular Computing, GrC 2011

作者： Zuqiang, Meng Zhongzhi, Shi Ke, Xu College of Computer Electronics and Information Guangxi University Nanning 530004 China Key Laboratory of Intelligent Information Processing Institute of Computing Technology Chinese Academy of Sciences Beijing 100190 China

ISBN: (纸本)9781457703713

This paper systematically studies the problem of decision rule acquisition in inconsistent incomplete decision systems (IIDSs). First, a tolerance granular framework model based on tolerance granular computing is presented, which is suitable for variety types of decision rules in IIDSs;secondly, with the proposed model, a framework for acquiring all minimum decision rule sets for each type is given, which solves the problem of decision rule acquisition in IIDSs to a certain degree;finally, an example is given to show the efficiency of our framework. © 2011 IEEE.

关键词： Granular computing

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Generating Chinese Named Entity Data from a Parallel Corpus 5

Generating Chinese Named Entity Data from a Parallel Corpus

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5th International Joint Conference on Natural Language processing, IJCNLP 2011

作者： Fu, Ruiji Qin, Bing Liu, Ting Research Center for Social Computing and Information Retrieval MOE-Microsoft Key Laboratory of Natural Language Processing and Speech School of Computer Science and Technology Harbin Institute of Technology Harbin China

ISBN: (纸本)9789744665645

Annotating Named Entity Recognition (NER) training corpora is a costly process but necessary for supervised NER systems. This paper presents an approach to generate large-scale Chinese NER training data from an English-Chinese discourse level aligned parallel corpus. Difficulty of NER is different among languages due to their unique features. For example, the performance of English NER systems is usually higher than the Chinese ones on average. In our method, we first employ a high performance NER system on one side of a bilingual corpus. And then, we project the NE labels to the other side according to the word level alignment. At last, we select high-quality labeled sentences using different strategies and generate an NER training corpus. In our experiments, we generate a Chinese NER corpus with 167,100 sentences through an English-Chinese parallel corpus. The system trained on the automatically generated corpus attains a comparable result with the one trained on the manually-annotated corpus. Further experiments show that the NER performance is significantly improved on two different evaluation sets by using the generated training data as an additional corpus to the manually-labeled data. © 2011 AFNLP

关键词： Natural language processing systems

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Developing software using a novel event-condition-state pattern framework: Taking mobile input method system As A Case Study

Journal of Software

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Journal of Software 2011年第8期6卷 1506-1512页

作者： Zhu, Fei Diao, Hongjun Huang, Wei School of Computer Science and Technology Soochow University Suzhou Jiangsu 215006 China Provincial Key Laboratory for Computer Information Processing Technology Soochow University Suzhou Jiangsu 215006 China

Design patterns add more reliability, flexibility and reusability to a software system. Taking advantage of design patterns is usually beneficial to software design and makes software development relatively easier. The state pattern proposed by GoF is not a determined design and can hardly be transformed into implementation code directly. It is disable to cope with sophisticated response event either. Hereby we propose a novel event-conditionstate pattern framework, an event-based finite state machine. The framework improves GoF state pattern by resegmenting Context into two classes, one for management and the other for operation interface. Essential components for implementation, such as management, state transferring, and event triggering mechanism, are also taken into consideration in the framework. We use pattern framework to develop a thirty party input method system which has a Windows Mobile system version and a Symbian system version separately. We rewrote Context part related with system interfaces in the two different systems, and encapsulated the part related with internal logic of input method by concrete subclasses, thus avoiding redundant developing work in both systems and providing convenience for later synchronous updating and maintenance of two input methods. With the pattern framework, much effort during software development is saved. The development logic seems simpler and clearer. As a result, the whole development process is simplified. © 2011 ACADEMY PUBLISHER.

关键词： Software design

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Research on temperature channel calibration of data-acquisition unit of automatic weather station

Research on temperature channel calibration of data-acquisit...

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IEEE 2011 10th International Conference on Electronic Measurement and Instruments, ICEMI 2011

作者： Wu, Xiangjuan Lv, Wenhua Xing, Hongyan Zou, Yingquan Jiangsu Technology and Engineering Center of Meteorological Sensor Network Nanjing University of Information Science and Technology Nanjing 210044 China Jiangsu Key Laboratory of Meteorological Observation and Information Processing Nanjing University of Information Science and Technology Nanjing 210044 China Meteorological Observation Center China Meteorological Administration Beijing 100081 China

ISBN: (纸本)9781424481590

A method of utilizing active resistance network to calibrate the temperature channel of data-acquisition unit is proposed in this paper. This method changes gate-source voltage by micro-controller so as to simulate the resistance. Compares resistance value measured by data-acquisition unit with the simulated resistances to calibrate the performance of the data-acquisition unit. Take DT50 data-acquisition unit in CAWS600 AWS for an example. By software commands, output current and A/D sample duration time of the data-acquisition unit temperature channel are changed to resolve the problem of parameters mismatch, then this data-acquisition unit is calibrated effectively. The experiment result shows this approach provide a reliable means to calibrate AWS data-acquisition unit. © 2011 IEEE.

关键词： Calibration

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MRI image segmentation based on fast kernel clustering analysis

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Frontiers of Electrical and Electronic Engineering in China 2011年第2期6卷 363-373页

作者： Liang LIAO Yanning ZHANG Shaanxi Provincial Key Laboratory of Speech and Image Information Processing(SAIIP) School of Computer ScienceNorthwestern Polytechnical UniversityXi’an 710129China School of Electric and Information Engineering Zhongyuan University of TechnologyZhengzhou 450007China

Kernel-based clustering is supposed to provide a better analysis tool for pattern classification,which implicitly maps input samples to a highdimensional space for improving pattern *** this implicit space map,the kernel trick is believed to elegantly tackle the problem of“curse of dimensionality”,which has actually been more challenging for kernel-based clustering in terms of computational complexity and classification accuracy,which traditional kernelized algorithms cannot effectively deal *** this paper,we propose a novel kernel clustering algorithm,called KFCM-III,for this problem by replacing the traditional isotropic Gaussian kernel with the anisotropic kernel formulated by Mahalanobis ***,a reduced-set represented kernelized center has been employed for reducing the computational complexity of KFCM-I algorithm and circumventing the model deficiency of KFCM-II *** proposed KFCMIII has been evaluated for segmenting magnetic resonance imaging(MRI)*** this task,an image intensity inhomogeneity correction is employed during image segmentation *** a scheme called preclassification,the proposed intensity correction scheme could further speed up image *** experimental results on public image data show the superiorities of KFCM-III.

关键词： kernel-based clustering dimensionality reduction speeding-up scheme magnetic resonance imaging(MRI)image segmentation intensity inhomogeneity correction

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Privacy preservation in role-based access control model

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Journal of Networks 2011年第8期6卷 1106-1113页

作者： Chen, Zuo Yang, Qiuwei Wan, Xin Tu, Yuanyan Yu, Fei Xu, Chen School of Computer and Communication Hunan University Changsha China Jiangsu Provincial Key Laboratory for Computer Information Processing Technology Soochow University Soochow China

Privacy preservation is a crucial problem in resource sharing and collaborating among multi-domains. Based on this problem, we propose a role-based access control model for privacy preservation. This scheme avoided the privacy leakage of resources while implementing access control, and it has the advantage of lower communication overhead. We demonstrate this scheme meets the IND-CCA2 semantic security by using random oracle. The simulation result shows this scheme has better execution efficiency and application effects. © 2011 ACADEMY PUBLISHER.

关键词： Cryptography

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Enriched format text categorization using a component similarity approach

Journal of Software

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Journal of Software 2011年第9期6卷 1713-1720页

作者： Zhu, Fei Yang, Jiong Zhou, Yong School of Computer Science and Technology Soochow University Suzhou Jiangsu 215006 China Provincial Key Laboratory for Computer Information Processing Technology Soochow University Suzhou China

Text categorization has been widely studied for years. However, conventional plain text categorization approaches which work good in plain text behave poor when they are simply applied to enriched format texts. An categorization approach that is applicable to enriched format text is proposed. During feature selection, we get feature structure distribution weight by using extended structure model so that structure affections to categorization are fully considered. Text formats are also taken into account in feature weighting. The combined feature weighting approach strengthens important parts and weakens less important ones. The text categorization is fulfilled by document component similarity, which first decomposes document, gathers features by components and other user-defined rules, completes document component tree, and then achieves categorization by it. We implement a CSBC based Naïve Bayes classifier in which the final result is the combination of all classifiers of component tree. Finally we parse *** document, draw components that are most related to classification from *** documents, and then use the classifier to categorize *** documents. The experiment results show that the classifier can automatically classify *** documents and work quite well. © 2011 ACADEMY PUBLISHER.

关键词： Classifiers

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WSRank: A method for web service ranking in cloud environment

WSRank: A method for web service ranking in cloud environmen...

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9th IEEE Int. Conf. on Dependable, Autonomic and Secure Comput., DASC 2011, incl. 9th Int. Conf. on Pervasive Intelligence and Computing, PICom 2011, 9th Int. Symp. on Embedded Computing, EmbeddedCom 2011, 1st Int. Conf. on Cloud and Green Comput.CGC

作者： Hu, Rong Dou, Wanchun Liu, Xiaoqing Frank Liu, Jianxun State Key Laboratory for Novel Software Technology Nanjing University Nanjing Jiangsu China Department of Computer Science Missouri University of Science and Technology Rolla MO United States Key Laboratory of Knowledge Processing and Networked Manufacturing Hunan University of Science and Technology Xiangtan Hunan China

ISBN: (纸本)9780769546124

For services that have similar functionalities, if they are published by different cloud platforms, it is a challenge to evaluate them, for satisfying different end users' personal preferences. In view of this challenge, a method for web service ranking, named WSRank, is investigated in cloud environment in this paper. It aims at ranking different Web services published by different cloud platforms, taking advantage of Page Rank principle. At last, a case study and experiment are presented to demonstrate the feasibility of the method. © 2011 IEEE.

关键词： Web services

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