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Method of Embodying the Meaning of Headlines Using News Articles

Procedia computer science 2013年 22卷 260-268页

作者： Misako Imono Eriko Yoshimura Seiji Tsuchiya Hirokazu Watabe Department of Knowledge Engineering and Computer Sciences Graduate School of Engineering Doshisha University KyoTanabe 6100394 Japan Department of Intelligent Information Engineering and Sciences Faculty of Science and Engineering Doshisha University KyoTanabe 6100394 Japan

In recent years, various studies have investigated intelligent robots that can smoothly communicate with humans. Communication between humans is often achieved through conversation, so it is likely that robots will need to be able to perform human-like conversation. There are various types of human conversation. Intelligent robots will be expected to perform conversations a lot as human. In order to realize such conversation in robots, resourses for making new topics is required. We herein focus on the news website headlines because headlines are a more appropriate format for initiating conversation than the text of articles. However, there is a problem in that specific information is lacking from headlines. Therefore, this paper present a method of embodying the meaning of headlines using news articles for using headlines as a resource of the robot conversation. The proposed method embodies the meanings of news headlines by adding or replacing words in the headline with words from the articles. As a result, the proposed method was able to embody the meanings of Japanese headlines in a natural manner for approximately 58.3% of the 120 headlines belonging to the test set.

关键词： Concept Base degree of association news articles

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Proposing a Method of Generating Association Words from Multiple Words Based on Association System

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通讯和计算机（中英文版） 2013年第4期10卷 468-473页

作者： Misako Imono Eriko Yoshimura Seiji Tsuchiya Hirokazu Watabe Department of Knowledge Engineering and Computer Sciences Graduate School of Engineering Doshisha UniversityKyo Tanabe 6100394 Japan Department of Intelligent Information Engineering and Sciences Faculty of Science and Engineering Doshisha UniversityKyo Tanabe 6100394 Japan

Humans communicate with others using natural language because many expressions in natural language can convey the same message, humans interpret these expressions flexibly based on their knowledge of words and association skills. An Association System was constructed on a computer by applying Concept Bases and the degree of association. This paper proposes a method of generating association word from multiple words based on Association System to show that it can achieve humanlike associative abilities on a computer. The proposed method generated a natural human association with 61.0% accuracy and 77.0% recall.

关键词：显示系统关联度协会自然语言联想能力人类表达式计算机

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Interactive event: from a virtual village to an open learner model with next-TELL

Interactive event: from a virtual village to an open learner...

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16th International Conference on Artificial Intelligence in Education, AIED 2013

作者： Bull, Susan Kickmeier-Rust, Michael Meissl-Egghart, Gerhilde Johnson, Matthew D. Wasson, Barbara Alotaibi, Mohammad Hansen, Cecilie Electronic Electrical and Computer Engineering University of Birmingham United Kingdom Knowledge Management Institute Technical University of Graz Austria Talkademy Vienna Austria Department of Information Science and Media Studies University of Bergen Norway Uni Health Uni Research AS Norway

ISBN: (纸本)9783642391118

Introduction: With the range of educational tools available it is now realistic for learner models to take account of broader information, and there are strong arguments for placing open learner models in the centre of environments with diverse sources of data [1],[2],[3]. This Interactive Event will demonstrate the Next-TELL approach to facilitating teachers' use of data from a variety of sources, and will allow participants to interact at all stages of this process. The Interactive Event will comprise three parts: Going to the Chatterdale village: an OpenSim mystery for language learners;Interaction with ProNIFA (probabilistic non-invasive formative assessment) to help teachers transform Chatterdale log data for an open learner model;Interaction with the Next-TELL Open Learner Model to explore learner model visualisations from automated and manual sources. © 2013 Springer-Verlag Berlin Heidelberg.

关键词： Teaching

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Speech emotion recognition using Support Vector Machines

Speech emotion recognition using Support Vector Machines

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International Conference on knowledge and Smart Technology (KST)

作者： Thapanee Seehapoch Sartra Wongthanavasu Cellular Automata and Knowledge Engineering (CAKE) Laboratory Department of Computer Science Khon Kaen University Khon Kaen Thailand

Automatic recognition of emotional states from human speech is a current research topic with a wide range. In this paper an attempt has been made to recognize and classify the speech emotion from three language databases, namely, Berlin, Japan and Thai emotion databases. Speech features consisting of Fundamental Frequency (F0), Energy, Zero Crossing Rate (ZCR), Linear Predictive Coding (LPC) and Mel Frequency Cepstral Coefficient (MFCC) from short-time wavelet signals are comprehensively investigated. In this regard, Support Vector Machines (SVM) is utilized as the classification model. Empirical experimentation shows that the combined features of F0, Energy and MFCC provide the highest accuracy on all databases provided using the linear kernel. It gives 89.80%, 93.57% and 98.00% classification accuracy for Berlin, Japan and Thai emotions databases, respectively.

关键词： Speech Databases Speech recognition Emotion recognition Mel frequency cepstral coefficient Support vector machines Kernel

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Introduction to Soft Computing and Intelligent Data Analysis Minitrack

Introduction to Soft Computing and Intelligent Data Analysis...

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Annual Hawaii International Conference on System sciences (HICSS)

作者： Rudolf Kruse Department of Knowledge Processing and Language Engineering Faculty of Computer Science Otto von Guericke University of Magdeburg Magdeburg Germany

Introduction to the "Soft Computing and Intelligent Data Analysis" Minitrack

关键词： Artificial intelligence Optimization Computational modeling Planning Data analysis computer science Data models

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Convergence of Monte Carlo Tree Search in Simultaneous Move Games 13

Convergence of Monte Carlo Tree Search in Simultaneous Move ...

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Annual Conference on Neural Information Processing Systems

作者： Viliam Lisy Vojtech Kovarik Marc Lanctot Branislav Bosansky Agent Technology Center Dept. of Computer Science and Engineering FEE Czech Technical University in Prague Department of Knowledge Engineering Maastricht University The Netherlands

ISBN: (纸本)9781632660244

We study Monte Carlo tree search (MCTS) in zero-sum extensive-form games with perfect information and simultaneous moves. We present a general template of MCTS algorithms for these games, which can be instantiated by various selection methods. We formally prove that if a selection method is e-Hannan consistent in a matrix game and satisfies additional requirements on exploration, then the MCTS algorithm eventually converges to an approximate Nash equilibrium (NE) of the extensive-form game. We empirically evaluate this claim using regret matching and Exp3 as the selection methods on randomly generated games and empirically selected worst case games. We confirm the formal result and show that additional MCTS variants also converge to approximate NE on the evaluated games.

关键词： selection methods Game theory Converge Tree searching Hypoderma Claim

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ExerSync: Interpersonal synchrony in social exergames 13

ExerSync: Interpersonal synchrony in social exergames

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2013 2nd ACM Conference on computer Supported Cooperative Work Companion, CSCW 2013

作者： Park, Taiwoo Lee, Uichin Lee, Bupjae Lee, Haechan Son, Sanghun Song, Seokyoung Song, Junehwa Department of Computer Science KAIST 291 Daehak-ro Yuseong-gu Daejeon 305-701 Korea Republic of Department of Knowledge Service Engineering KAIST 291 Daehak-ro Yuseong-gu Daejeon 305-701 Korea Republic of Division of Web Science Technology KAIST 291 Daehak-ro Yuseong-gu Daejeon 305-701 Korea Republic of

ISBN: (纸本)9781450313322

Social exergames provide immersive experiences of social interaction via online multiplayer games, ranging from simple group exercises (e.g., virtual cycling/rowing) to more structured multiplayer games (e.g., cooperative boat racing). In exergame design, interpersonal synchrony plays an important role as it enhances social rapport and pro-social behavior. We demonstrate ExerSync platform that supports various assistive mechanisms for facilitating interpersonal synchrony even with heterogeneous exercise modalities. We consider a rhythm of body movements in repetitive aerobic exercises and explore the design space of incorporating rhythm into exergames. We build a prototype system and comparatively evaluate the effectiveness of various assistive mechanisms. Copyright © 2012 by the Association for Computing Machinery, Inc. (ACM).

关键词： Social behavior

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Recommending Web Services via Combining Collaborative Filtering with Content-Based Features

Recommending Web Services via Combining Collaborative Filter...

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IEEE International Conference on Web Services (ICWS)

作者： Lina Yao Quan Z. Sheng Aviv Segev Jian Yu School of Computer Science The University of Adelaide Adelaide SA Australia Department of Knowledge Service Engineering KAIST Daejeon Korea Faculty of ICT Swinburne University of Technology Melbourne VIC Australia

With increasing adoption and presence of Web services, designing novel approaches for efficient Web services recommendation has become steadily more important. Existing Web services discovery and recommendation approaches focus on either perishing UDDI registries, or keyword-dominant Web service search engines, which possess many limitations such as insufficient recommendation performance and heavy dependence on the input from users such as preparing complicated queries. In this paper, we propose a novel approach that dynamically recommends Web services that fit users' interests. Our approach is a hybrid one in the sense that it combines collaborative filtering and content-based recommendation. In particular, our approach considers simultaneously both rating data and content data of Web services using a three-way aspect model. Unobservable user preferences are represented by introducing a set of latent variables, which is statistically estimated. To verify the proposed approach, we conduct experiments using 3, 693 real-world Web services. The experimental results show that our approach outperforms the two conventional methods on recommendation performance.

关键词： Web services Semantics Collaboration Quality of service Search engines Data models Adaptation models

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CTS 2014 panel sessions

CTS 2014 panel sessions

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International Symposium on Collaborative Technologies and Systems

作者： Obinna B. Anya John V. Carlis Brent J. Hecht Daniel Keefe Obinna Anya Neale R. Chumbler Saif Khairat Joseph A. Konstan Danilo Pani Jason Evgenides Janet Girton Arlene King Joseph Zahn Gregory Padula Mary Galvin Accelerated Discovery Lab Almaden Research Center California USA University of Minnesota - Twin Cities Minnesota USA Department of Health Policy and Management College of Public Health University of Georgia - Athens Georgia USA Institute for Health Informatics University of Minnesota - Twin Cities Minnesota USA Department of Computer Science and Engineering University of Minnesota - Twin Cities Minnesota USA EOLAB - Microelectronics and Bioengineering Lab Dept. of Electrical and Electronic Engineering University of Cagliari Italy Organizational Enablement Shiloh Illinois USA Cyber Semantics Shiloh Illinois USA Strategic Communication C5T Shiloh Illinois USA Knowledge Management Specialist C5T Shiloh Illinois USA Vice President-Operations C5T Shiloh Illinois USA LexisNexis Special Services Inc. (LNSSI) Washington D.C. USA

This panel explores the many roles of data analytics in today's cross-domain collaborations. In some instances, cross-domain analytics are required to understand big data. In others, big data holds the key to understanding and evaluating how people collaborate across domains. Panelists will present their experiences with big data and collaboration, and discussion will be guided by the following questions: How does “understanding data through collaboration” relate to “understanding collaboration through data”? What modeling tools, visualizations, abstractions, and metrics can help facilitate collaborative discovery from big data? To what extent should these tools be tailored to specific domains or groups? How much do we need to know about another domain or group before we can intersect domain specific activities that constitute the context to various analytical processes, and cross-pollinate ideas for deeper analytics? What optimally would that other domain or group need to know about us? How much of this knowledge can we extract from data?

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A Data Management in a Private Cloud Storage Environment Utilizing High Performance Distributed File Systems

A Data Management in a Private Cloud Storage Environment Uti...

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IEEE International Workshops on Enabling Technologies: Infrastructure for Collaborative Enterprises

作者： Tiago S. Soares M. A. R. Dantas Douglas D. J. de Macedo Michael A. Bauer Informatics and Statistic Department (INE) Federal University of Santa Catarina (UFSC) Post-Graduate Program of Knowledge Engineering and Management Federal University of Santa Catarina (UFSC) Computer Science Department (CSD) University of Western Ontario (UWO)

ISBN: (纸本)9781479904051

The new trend in the process of data-intensive management indicates the importance of a distributed file system for both Internet large scale services and cloud computing environments. I/O latency and application buffering sizes are two of a number of issues that are essential to be analysed on different class of distributed file systems. In this paper, it is presented a research work comparing four different high performance distributed file systems. Those systems were employed to support a medical image server application in a private storage environment. Experimental results highlight the importance of an appropriate distributed file system to provide a differential level of performance considering application specific characteristics.

关键词： Distributed File System DICOM HDF5 Telemedicine

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