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Proceedings - 2012 IEEE International Conference on Cluster computing Workshops, Cluster Workshops 2012 2012年 xiii页

作者： Zhang, Linbo Zhang, Yunquan State Key Laboratory of Scientific and Engineering Computing CAS China Institute of Software CAS China

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Automated quality assessment of web pages from textual content

Automated quality assessment of web pages from textual conte...

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2012 International Conference on Machine Learning and Cybernetics, ICMLC 2012

作者： Wang, Xiao-Lin Zhao, Hai Lu, Bao-Liang Center for Brain-Like Computing and Machine Intelligence Department of Computer Science and Engineering Shanghai Jiao Tong University Shanghai 200240 China MOE-Microsoft Key Laboratory for Intelligent Computing and Intelligent Systems Shanghai Jiao Tong University 800 Dong Chuan Rd. Shanghai 200240 China

ISBN: (纸本)9781467314855

Given the vastness of Internet, search engines have to find not only relevant but also high-quality web pages to satisfy users' information need. At present, most quality assessing methods for web pages are based on link analysis and user feedbacks. Considering that users acquire information from web pages mainly through reading their text, this paper addresses automated quality assessment of web pages from textual content. This paper surveys related works on assessing text's quality, summarizes quality-related features, and examines them with a real-word data set. Experimental results show that features based on the length of text are the most effective, while combining length features with other features such as part-of-speech tags and readability can further improve the accuracy. © 2012 IEEE.

关键词： Websites

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Parallel Learning of Large-scale Multi-Label Classification Problems with Min-Max Modular LIBLINEAR

Parallel Learning of Large-scale Multi-Label Classification ...

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International Joint Conference on Neural Networks

作者： Yangyang Chen Bao-Liang Lu Hai Zhao Department of Computer Science and Engineering and MOE-Microsoft Key Laboratory for Intelligent Computing and Intelligent Systems Shanghai Jiao Tong University

ISBN: (纸本)9781467314886

The study on pattern classification trends to be towards large-scale, multi-label, and imbalanced problems. The amount of the data which need to be classified is typically dozens of millions and it keeps rapid increasing in recent years. Traditional pattern classification approaches are inefficient and even ineffective in this situation. In our previous work, we proposed a min-max modular (M~3) network for dealing with large-scale and imbalanced problems. M~3-network is a generalized modular learning framework and includes three main steps: decomposing a large-scale problem into several smaller independent sub-problems, learning these sub-problems in parallel, and combining the results of the sub-problems to generate a solution to the original problem. In this paper, we embed LIBLINEAR into M~3-network (M3-liblnear) to deal with large-scale, multi-label, and imbanlanced pattern classification problems. LIBLINEAR is a fast implementation of a linear classifier. M~3-Liblinear uses LIBLINEAR as a base classifier to learn each of the sub-problems. We compare M~3-Liblinear with Liblinear-cdblock on a large-scale Japanese patent classification problem. Experimental results demonstrate that M~3-Liblinear is superior to Liblinearcd-block in both training time and generalization performance.

关键词： Min-max modular network Liblinear-cdblock Multi-label problem Imbalanced problem Pattern recognition large sizes Modularity Parallel Lines original problem

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LotusX: A Position-Aware XML Graphical Search System with Auto-Completion

LotusX: A Position-Aware XML Graphical Search System with Au...

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International Conference on Data engineering

作者： Chunbin Lin Jiaheng Lu Tok Wang Ling Bogdan Cautis Key Laboratory of Data Engineering and Knowledge Engineering MOE Renmin University of China China School of Computing National University of Singapore Singapore Télécom Paris Technology France

ISBN: (纸本)9781467300421

The existing query languages for XML (e.g., XQuery) require professional programming skills to be formulated, however, such complex query languages burden the query processing. In addition, when issuing an XML query, users are required to be familiar with the content (including the structural and textual information) of the hierarchical XML, which is diffcult for common users. The need for designing user friendly interfaces to reduce the burden of query formulation is fundamental to the spreading of XML community. We present a twig-based XML graphical search system, called LotusX, that provides a graphical interface to simplify the query processing without the need of learning query language and data schemas and the knowledge of the content of the XML document. The basic idea is that LotusX proposes "position-aware" and "auto-completion" features to help users to create tree-modeled queries (twig pattern) by providing the possible candidates on-the-fly. In addition, complex twig queries (including order sensitive queries) are supported in LotusX. Furthermore, a new ranking strategy and a query rewriting solution are implemented to rank and rewrite the query effectively. We provide an online demo for LotusX system: http://***:8080/LotusX.

关键词： XML Database languages Indexes Books Query processing Programming keyword search

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A class of numerical methods with one parameter for backward stochastic differential equations

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AIP Conference Proceedings 2012年第1期1479卷 1765-1768页

作者： Dongsheng Xu Peng Wang Xiuling Yin State Key Laboratory of Scientific and Engineering Computing Institute of Computational Mathematics and Scientific/Engineering Computing Academy of Mathematics and Systems Science Chinese Academy of Sciences 100080 Beijing China College of Mathematics Jilin University 130012 Jilin People's China Department of Mathematics Dezhou University 352023 Shandong People's China

In this paper, we investigate backward stochastic differential equations (BSDEs) driven by Brownian motion. We propose a class of Euler type numerical methods with one parameter based on random walk framework for one-...

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Chinese Coreference Resolution via Ordered Filtering 12

Chinese Coreference Resolution via Ordered Filtering

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Joint Conference on Empirical Methods in Natural Language Processing and Computational Natural Language Learning

作者： Xiaotian Zhang Chunyang Wu Hai Zhao Center for Brain-Like Computing and Machine Intelligence Department of Computer Science and Engineering Shanghai Jiao Tong UniversityMOE-Microsoft Key Laboratory for Intelligent Computing and Intelligent Systems Shanghai Jiao Tong University

ISBN: (纸本)9781627484046

We in this paper present the model for our participation (BCMI) in the CoNLL-2012 Shared Task. This paper describes a pure rule-based method, which assembles different filters in a proper order. Different filters handle different situations and the filtering strategies are designed manually. These filters are assigned to different ordered tiers from general to special cases. We participated in the Chinese and English closed tracks, scored 51.83 and 59.24 respectively.

关键词： Coreference Resolution Filtration Filters Ordered Chinese philosophy Chinese Chinese art proper order paper

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Hybrid Rule-based Algorithm for Coreference Resolution 12

Hybrid Rule-based Algorithm for Coreference Resolution

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Joint Conference on Empirical Methods in Natural Language Processing and Computational Natural Language Learning

作者： Heming Shou Hai Zhao Center for Brain-Like Computing and Machine Intelligence Department of Computer Science and Engineering Shanghai Jiao Tong UniversityMOE-Microsoft Key Laboratory for Intelligent Computing and Intelligent Systems Shanghai Jiao Tong University

ISBN: (纸本)9781627484046

This paper describes our coreference resolution system for the CoNLL-2012 shared task. Our system is based on the Stanford's dcore-f deterministic system which applies multiple sieves with the order from high precision to low precision to generate coreference chains. We introduce the newly added constraints and sieves and discuss the improvement on the o-riginal system. We evaluate the system using OntoNotes data set and report our results of average F-score 58.25 in the closed track.

关键词： Coreference Resolution Sieves sieving

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Single attribute Join Queries within latest sampling periods in sensor networks

Single attribute Join Queries within latest sampling periods...

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IEEE Symposium on Computers and Communications (ISCC)

作者： Shangfeng Mo Hong Chen Yinglong Li School of Math and Computing Science Hunan University of Science and Technology Xiangtan China Key Laboratory of Data Engineering and Knowledge Engineering of MOE School of Information Renmin University of China Beijing China

Join processing in wireless sensor networks is a challenging problem. Current solutions are not involved in the join operation among tuples of the latest sampling periods. In this article, we proposed a continuous Single attribute Join Queries within latest sampling Periods (SJQP) for wireless sensor networks. The main idea of our filter-based framework is to discard non-matching tuples, and our scheme can guarantee the result is correct independent of the filters. Experiments based on real-world sensor data show that our method performs close to a theoretical optimum and consistently outperforms the centralized join algorithm.

关键词： Base stations Wireless sensor networks Probes Filtering algorithms Temperature sensors Information filters

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STeC: A Location-Triggered Specification Language for Real-Time Systems

STeC: A Location-Triggered Specification Language for Real-T...

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IEEE International Symposium on Object/Component/Service-Oriented Real-Time Distributed computing Workshops (ISORCW)

作者： Yixiang Chen MoE Engineering Research Center for Software/Hardware Co-design Technology and Application Shanghai Key Laboratory for Trustworthy Computing East China Jiao Tong University Shanghai China

Internet of Things (IoT) or Cyber-Physical Systems (CPS) is a new trend of real-time systems in the area of information technology. This paper introduces a spatiotemporal consistence language for real-time systems (Shortly, STeC). The consistence requires that a process do its tasks at the required location or time. Thus, this language provides a location-triggered specification for real-time systems. The interaction between real-time agents deals with agent2agent communications. STeC looks like an extension of precess algebra CSP. But, the execution-time of actions and status of agents are stressed. Two kinds of interrupts time and interaction break are considered. Following the Dijkstra's guard style, nondeterministic choice phase guarded by communications is introduced. After setting up the syntax, its operational semantics is introduced. As an example, the railroad crossing problem is specified in terms of this language STeC.

关键词： Logic gates Semantics Real time systems Bismuth Stress Automata Intelligent agents

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Break index labeling of mandarin text via syntactic-to-prosodic tree mapping

Break index labeling of mandarin text via syntactic-to-proso...

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International Symposium on Chinese Spoken Language Processing

作者： Xiaotian Zhang Yao Qian Hai Zhao Frank K. Soong Center for Brain-Like Computing and Machine Intelligence Department of Computer Science and Engineering MOE-Microsoft Key Laboratory for Intelligent Computing and Intelligent Systems Shanghai Jiaotong University Shanghai China Microsoft Research Asia Beijing China

In this study, we investigate the break index labeling problem with a syntactic-to-prosodic structure conversion. The statistical relationship between the mapped syntactic tree structure and prosodic tree structure of sentences in the training set is used to generate a Synchronous Tree Substitution Grammar (STSG) which can describe the probabilistic mapping (substitution) rules between them. For a given test sentence and the corresponding parsed syntactic tree structure, thus generated STSG can convert the syntactic tree to a prosodic tree statistically. We compare the labeling results with other approaches and show the probabilistic mapping can indeed benefit break index labeling performance.

关键词： IP networks Biological system modeling Pragmatics Abstracts Syntactics

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