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International Conference on Machine Learning and Cybernetics

作者： Sun, Lin Liu, Bing-Quan Wang, Bao-Xun Wang, Xiao-Long MOE-MS Key Laboratory of Natural Language Processing and Speech Harbin Institute of Technology Harbin 150001 China

ISBN: (纸本)9781424465262

Duplicate emails, which exist on the internet widely and are mainly caused by mailing lists, not only waste storage resource but also bring users garbage. In this paper, according to the structure and text feature of email, we put forward the concept of Mail-Duplicate-Degree, and in this way the email duplicate is firstly defined. Based on this definition, we develop an algorithm based on clustering to detect duplicate emails. By introducing a hash function provided by TRIE tree to optimize the efficiency, the algorithm gets over the slow processing speed problem existing in traditional clustering methods. Experimental results on large-scale emails have shown that the algorithm has a high precision. © 2010 IEEE.

关键词： Hash functions

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Event entailment extraction based on EM iteration

Event entailment extraction based on EM iteration

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International Conference on Asian language processing

作者： Li, Zhen Li, Hanjing Yu, Mo Zhao, Tiejun Li, Sheng MOE-MS Key Laboratory of Natural Language Processing and Speech Harbin Institute of Technology Harbin 150001 China

ISBN: (纸本)9780769542881

In the research and development of various natural language processing systems, like Q&A system and text-to-scene conversation system, we realize that knowledge of text entailment helps a lot in improving the performance of the system. Systems with text entailment knowledge will be smarter than those who without entailment knowledge. Currently many research teams are focusing on text entailment, including recognition, generation and extraction. However, entailment extraction is the main method in creating entailment knowledge database. Meanwhile, for text-to-scene conversation system, due to the importance of events in stories, find a method for event entailment extraction is our main goal. In this paper, we proposed a method for extracting event entailment from corpus based on EM iteration, which has not been used before. © 2010 IEEE.

关键词： Extraction

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An information extraction system for heterogeneous Web source

An information extraction system for heterogeneous Web sourc...

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International Conference on Machine Learning and Cybernetics

作者： Zhou, Ting Sun, Cheng-Jie Lin, Lei Liu, Bing-Quan MOE-MS Key Laboratory of Natural Language Processing and Speech Harbin Institute of Technology School of Computer Science and Technology Harbin 150001 China

ISBN: (纸本)9781424465262

Information Extraction is the task of identifying information in texts and converting it into a predefined format. In this paper, we build an information integration system which focuses on the information of computer science teachers in Chinese universities. The target of the system is to automatically extract the useful information from heterogeneous sources and re-organize them into structured format. The system includes 4 main modules: web pages retrieval module, web pages' structure classification module, information extraction module and information updating module. We have successfully applied the system to deal with 107 universities in China which shows the effect of the proposed system. © 2010 IEEE.

关键词： Websites

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Event entailment chains extraction for Text-to-Scene conversion

Event entailment chains extraction for Text-to-Scene convers...

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International Conference on Machine Learning and Cybernetics

作者： Li, Han-Jing Li, Zhen Xue, Xiao-Ping Zhao, Tie-Jun Department of Mathematics Harbin Institute of Technology Harbin 150001 China MOE-MS Key Lab of Natural Language Processing and Speech Harbin Institute of Technology Harbin 150001 China

ISBN: (纸本)9781424465262

In our study of Text-to-Scene conversation (TTS), which translates natural language into animations automatically, we realized that event entailment knowledge is useful in generating scenes since the main part of a scene is to show an event. In this paper, we provide some results of our attempt to extract event entailment knowledge. We use entailment chains instead of traditional entailment rules since the sequence of events is a process which make useful in TTS. The result shows that the work is worth to continue to study. © 2010 IEEE.

关键词： Chains

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Research on automatic pattern acquisition based on construction extension

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Journal of Convergence Information Technology 2010年第1期5卷 122-127页

作者： Chen, Yu Zheng, Dequan Zheng, Bowen Zhao, Tiejun MOE-MS Key Laboratory of Natural Language Processing and Speech Harbin Institute of Technology Harbin 150001 China

Although entities are named under some specific rules, the amount of various names makes it impossible for computers to detect these entities in a context because of the complex variety of the rules. If we can create a rule that can be easily identified by computers to detect these names automatically, it will substantially reduce our cost, save our time as well as improve extraction efficiency. Therefore, this paper is intended to discuss these specific naming rules for the entities and to assign the methods into computers in order for them to automatically obtain new patterns of term. These methods are represented by pos tags and indicated term. One method is based on soft match. The other method is based on constituent extension. The constituent extension method recognizes new patterns according to the rules and logic among each entity's constituents. This means that each pattern can be extended and assembled logically. The patterns produced in this way would be the accurate patterns. The result of the experiment based on this method proves that the automatic new patterns recognition increases the efficiency of entity extraction.

关键词： Pattern matching

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A feature combination method for semantic role classification

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Journal of Information and Computational Science 2010年第1期7卷 127-133页

作者： Li, Shiqi Zhao, Tiejun Li, Hanjing Liu, Shui MOE-MS Key Laboratory of Natural Language Processing and Speech Harbin Institute of Technology Harbin 150001 China

This paper proposes a Chinese semantic role classification approach on the basis of feature combination. First we define a set of effective basic features. Then a statistics-based feature combination method is developed for constructing a combined feature set from the basic feature set. According to the distribution of each combined feature in positive and negative instances, we utilize a new statistics to measure the classifying performance of the feature, and then put the features with high ratio in the combined feature set. Finally, the semantic roles are classified by SVM classifier using both basic and combined feature set. The experimental results on Chinese Proposition Bank show that the method can improve the performance of SRC by two percent. Copyright © 2010 Binary Information Press.

关键词： Support vector machines

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A clustering based fast detection algorithm for large scale duplicate emails

A clustering based fast detection algorithm for large scale ...

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International Conference on Machine Learning and Cybernetics (ICMLC)

作者： Lin Sun Bing-Quan Liu Bao-Xun Wang Xiao-Long Wang MOE-MS Key Laboratory of Natural Language Processing and Speech Harbin Institute of Technology Harbin China

关键词： Electronic mail Clustering algorithms Internet Noise Algorithm design and analysis Feature extraction Layout

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Event Entailment Extraction Based on EM Iteration

Event Entailment Extraction Based on EM Iteration

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International Conference on Asian language processing (IALP)

作者： Zhen Li Hanjing Li Mo Yu Tiejun Zhao Sheng Li MOE-MS Key Laboratory of Natural Language Processing and Speech Harbin Institute of Technology Harbin China

关键词： Context Internet Animation natural language processing Libraries Classification algorithms Encyclopedias

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Study on the optimal parameters of image fusion based on wavelet transform

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Journal of Computational Information Systems 2010年第1期6卷 131-137页

作者： Zheng, Hong Zheng, Dequan Hu, Yanxiang Li, Sheng MOE-MS Key Laboratory of Natural Language Processing and Speech Harbin Institute of Technology Harbin 150001 China Tianjin Normal University Tianjin 300387 China

Selection of wavelet type, decomposition level and fusing rule is a key problem when wavelet transform is applied to image fusion. 2916 kinds of different fusing methods(54×5×9, including 54 wavelet types, 5 decomposing levels, and 9 fusing rules)are analyzed and compared in the experiment of fusing multi-focus images in this paper. Through calculating the comparability degree of fused images, the fusion performances are evaluated. And the experiment shows that the similarities of the results and the ideal pictures are all over 0.999, showing pretty good performance. Copyright © 2010 Binary Information Press.

关键词： Image fusion

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An information extraction system for heterogeneous Web source

An information extraction system for heterogeneous Web sourc...

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International Conference on Machine Learning and Cybernetics (ICMLC)

作者： Ting Zhou Cheng-Jie Sun Lei Lin Bing-Quan Liu MOE-MS Key Laboratory of Natural Language Processing and Speech School of Computer Science and Technology Harbin Institute of Technology Harbin China

关键词： Web pages Data mining Classification algorithms Educational institutions Crawlers Support vector machines Search engines

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