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50th Annual Meeting of the Association for Computational Linguistics, ACL 2012

作者： Xi, Ning Tang, Guangchao Dai, Xinyu Huang, Shujian Chen, Jiajun Department of Computer Science and Technology State Key Laboratory for Novel Software Technology Nanjing University Nanjing 210046 China

ISBN: (纸本)9781937284251

The dominant practice of statistical machine translation (SMT) uses the same Chinese word segmentation specification in both alignment and translation rule induction steps in building Chinese-English SMT system, which may suffer from a suboptimal problem that word segmentation better for alignment is not necessarily better for translation. To tackle this, we propose a framework that uses two different segmentation specifications for alignment and translation respectively: we use Chinese character as the basic unit for alignment, and then convert this alignment to conventional word alignment for translation rule induction. Experimentally, our approach outperformed two baselines: fully word-based system (using word for both alignment and translation) and fully character- based system, in terms of alignment quality and translation performance. © 2012 Association for Computational Linguistics.

关键词： Alignment

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Pre-stack kirchhoff time migration on hadoop and spark 15th

Pre-stack kirchhoff time migration on hadoop and spark

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15th International Conference on Algorithms and Architectures for Parallel Processing, ICA3PP 2015

作者： Yang, Chen Tang, Jie Gao, Heng Wu, Gangshan State Key Laboratory for Novel Software Technology Department of Computer Science and Technology Nanjing University Nanjing210046 China

ISBN: (纸本)9783319271361

Pre-stack Kirchhoff time migration (PKTM) is one of the most widely used migration algorithms in seismic imaging area. How- ever, PKTM takes considerable time due to its high computational cost, which greatly affects the working efficiency of oil industry. Due to its high fault tolerance and scalability, Hadoop has become the most popular platform for big data processing. To overcome the shortcoming too much network traffic and disk I/O in Hadoop, there shows up a new distributed framework—Spark. However the behaviour and performance of those two systems when applied to high performance computing are still under investigation. In this paper, we proposed two parallel algorithms of the plrestack Kirchhoff time migration based on Hadoop and Sark respectively. Experiments are carried out to compare the performances of them. The results show that both of implementations are efficient and scalable and our PKTM on Spark exhibits better performance than the one on Hadoop. © Springer International Publishing Switzerland 2015.

关键词： MapReduce

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Object mapping for layered cooperative systems 31

Object mapping for layered cooperative systems

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31st International Conference on technology of Object-Oriented Languages and Systems, TOOLS 1999

作者： Li, Chengkai Bing, Mao Daoxu, Chen Li, Xie State Key Laboratory of Novel Software Technology Department of Computer Science and Technology Nanjing University Nanjing210093 China

ISBN: (纸本)0769503934

This paper introduces a new model for inter-layer message communication called object mapping model that achieves separation between message preparation and destination selection. In this model, as opposed to traditional message delivery model, sender objects of messages need not indicate the destination objects of the messages. The messages can be intercepted by special objects called mapper objects. When mapper objects intercept messages, they can decide to which objects the messages should be sent. Using this model, layered cooperative systems can be realized by using objects to construct each layer and using mapper objects to realize object mapping relationship. And object mapping model has many advantages such as modularity, transparency, implicit invocation and dynamic mapping. © 1999 IEEE.

关键词： Mapping

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A dynamic extension and data migration method based on PVFS 15th

A dynamic extension and data migration method based on PVFS

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15th International Conference on Algorithms and Architectures for Parallel Processing, ICA3PP 2015

作者： Zhang, Xiaoyu Tang, Jie Gao, Heng Wu, Gangshan State Key Laboratory for Novel Software Technology Department of Computer Science and Technology Nanjing University Nanjing210046 China

ISBN: (纸本)9783319271217

With the development of the big data, The traditional file system can no longer meet the demand of High Performance Computing and Big Data. Parallel file systems are getting more and more popular in High Performance Computing. As a typical parallel file system, PVFS has been widely used in big data computing area in recent years. However with the increasing of computing scale, there exist the needs to dynamic extend data nodes, which PVFS does not support at present. This paper put forward a dynamic data node extension method as well as the subsequent data migration algorithm based on PVFS. The algorithm first adds a new data node automatically and transparently. After that, the algorithm finds out the most loaded data node in the original file system using a new load evaluation method and transfer the data into the newly added data node to mitigate the imbalance of the system. The experimental results show that our dynamic data node extension method could improve the performance of PVFS and reduce the probability of hot point effectively. © Springer International Publishing Switzerland 2015.

关键词： Big data

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Adapting Conventional Chinese Word Segmenter for Segmenting Micro-blog Text: Combining Rule-based and Statistic-based Approaches 2

Adapting Conventional Chinese Word Segmenter for Segmenting ...

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2nd CIPS-SIGHAN Joint Conference on Chinese Language Processing, CLP 2012

作者： Xi, Ning Li, Bin Tang, Guangchao Huang, Shujian Zhao, Yinggong Zhou, Hao Dai, Xinyu Chen, Jiajun State Key Laboratory for Novel Software Technology Department of Computer Science and Technology Nanjing University Nanjing210023 China

We describe two adaptation strategies which are used in our word segmentation system in participating the Micro-blog word segmentation bake-off: Domain invariant information is extracted from the in-domain unlabelled corpus, and is incorporated as supplementary features to conventional word segmenter based on Conditional Random Field (CRF), we call it statistic-based adaptation. Some heuristic rules are further used to post-process the word segmentation result in order to better handle the characters in emoticons, name entities and special punctuation patterns which extensively exist in micro-blog text, and we call it rule-based adaptation. Experimentally, using both adaptation strategies, our system achieved 92.46 points of F-score, compared with 88.73 points of F-score of the unadapted CRF word segmenter on the pre-released development data. Our system achieved 92.51 points of F-score on the final test data. © 2021 CLP 2012 - 2nd CIPS-SIGHAN Joint Conference on Chinese Language Processing. All Rights Reserved.

关键词： Random processes

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Word alignment combination over multiple word segmentation

Word alignment combination over multiple word segmentation

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49th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies, ACL HLT 2011

作者： Xi, Ning Tang, Guangchao Li, Boyuan Zhao, Yinggong State Key Laboratory for Novel Software Technology Department of Computer Science and Technology Nanjing University Nanjing 210093 China

ISBN: (纸本)9781932432893

In this paper, we present a new word alignment combination approach on language pairs where one language has no explicit word boundaries. Instead of combining word alignments of different models (Xiang et al., 2010), we try to combine word alignments over multiple monolingually motivated word segmentation. Our approach is based on link confidence score defined over multiple segmentations, thus the combined alignment is more robust to inappropriate word segmentation. Our combination algorithm is simple, efficient, and easy to implement. In the Chinese-English experiment, our approach effectively improved word alignment quality as well as translation performance on all segmentations simultaneously, which showed that word alignment can benefit from complementary knowledge due to the diversity of multiple and monolingually motivated segmentations. © 2011 Association for Computational Linguistics.

关键词： Alignment

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A framework for dynamic software architecture-based self-healing

A framework for dynamic software architecture-based self-hea...

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IEEE Systems, Man and Cybernetics Society, Proceedings - 2005 International Conference on Systems, Man and Cybernetics

作者： Yang, Qun Yang, Xian-Chun Xu, Man-Wu State Key Laboratory for Novel Software Technology Department of Computer Science and Technology Nanjing University Nanjing 210093 China

Self-healing is an active topic in areas like large complex distributed systems and continuous running systems, such as telephone switching systems, banking systems, mobile embedded systems. The architecture-based self-healing approach uses the architectural model as a basis for system reconfiguration. In architecture-based self-healing systems, the architectures may also be changed. The architectures that change during system's execution are dynamic software architectures. In this paper, a dynamic software architecture-based approach to self-healing is proposed. In the approach, architectural reflection is used to make the system architectures observable and controllable. Moreover, architectural style is used to ensure the consistency and correctness of the changes. © 2005 IEEE.

关键词： computer architecture

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Crowd2: Multi-agent Bandit-based Dispatch for Video Analytics upon Crowdsourcing 42

Crowd2: Multi-agent Bandit-based Dispatch for Video Analytic...

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42nd IEEE International Conference on computer Communications, INFOCOM 2023

作者： Chen, Yu Zhang, Sheng Yan, Yuting Jin, Yibo Chen, Ning Ji, Mingtao Xiao, Mingjun Nanjing University State Key Lab. for Novel Software Technology China University of Science and Technology of China School of Computer Science and Technology China

ISBN: (纸本)9798350334142

Many crowdsourcing platforms are emerging, leveraging the resources of recruited workers to execute various outsourcing tasks, mainly for those computing-intensive video analytics with high quality requirements. Although the profit of each platform is strongly related to the quality of analytics feedback, due to the uncertainty on diverse performance of workers and the conflicts of interest over platforms, it is non-trivial to determine the dispatch of tasks with maximum benefits. In this paper, we design a decentralized mechanism for a Crowd of Crowdsourcing platforms, denoted as Crowd2, optimizing the worker selection to maximize the social welfare of these platforms in a long-term scope, under the consideration of both proportional fairness and dynamic flexibility. Concretely, we propose a video analytics dispatch algorithm based on multi-agent bandit, for which the more accurate profit estimates are attained via the decoupling of multi-knapsack based mapping problem. Via rigorous proofs, a sub-linear regret bound for social welfare of crowdsourcing profits is achieved while both fairness and flexibility are ensured. Extensive trace-driven experiments demonstrate that Crowd2 improves the social welfare by 36.8%, compared with other alternatives. © 2023 IEEE.

关键词： Profitability

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Bug Triaging Based on Tossing Sequence Modeling

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Journal of computer science & technology 2019年第5期34卷 942-956页

作者： Sheng-Qu Xi Yuan Yao Xu-Sheng Xiao Feng Xu Jian Lv State Key Laboratory for Novel Software Technology Nanjing UniversityNanjing 210023China Department of Electrical Engineering and Computer Science Case Western Reserve UniversityCleveland Ohio 44106-7071U.S.A.

Bug triaging, which routes the bug reports to potential fixers, is an integral step in software development and maintenance. To make bug triaging more efficient, many researchers propose to adopt machine learning and information retrieval techniques to identify some suitable fixers for a given bug report. However, none of the existing proposals simultaneously take into account the following three aspects that matter for the efficiency of bug triaging: 1) the textual content in the bug reports, 2) the metadata in the bug reports, and 3) the tossing sequence of the bug reports. To simultaneously make use of the above three aspects, we propose iTriage which first adopts a sequence-to-sequence model to jointly learn the features of textual content and tossing sequence, and then uses a classification model to integrate the features from textual content, metadata, and tossing sequence. Evaluation results on three different open-source projects show that the proposed approach has significantly improved the accuracy of bug triaging compared with the state-of-the-art approaches.

关键词： bug triaging tossing sequence software repository mining

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Privacy preserving distributed permutation test 16

Privacy preserving distributed permutation test

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4th ACM International Workshop on Security in Cloud Computing, SCC 2016

作者： Mao, Yunlong Zhang, Yuan State Key Laboratory for Novel Software Technology Nanjing University Computer Science and Technology Department Nanjing210046 China

ISBN: (纸本)9781450342858

In this paper, we propose a privacy-preserving algorithm for two-party distributed permutation test for the difference of means. Our algorithm allows two parties to jointly perform a permutation test on the union of their data without revealing their data to each other. Our algorithm is useful especially in areas where the testing data often contains private information e.g. clinic trial and biomedical research. We have proved the security of our algorithm and used experiment to show its efficiency. To the best of our knowledge, we are the first to address the privacy issues in permutation tests. © 2016 ACM.

关键词： Bioinformatics

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