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Constraint logic programming for resolution of relative time expressions

引用

10th Conference on Computability in Europe, CiE 2014

作者： Christiansen, Henning Research Group PLIS: Programming Logic and Intelligent Systems Department of Communication Business and Information Technologies Roskilde University Denmark

ISBN: (纸本)9783319080185

Translating time expression into absolute time points or durations is a challenge for natural languages processing such as text mining and text understanding in general. We present a constraint logic language CLP(Time) tailored to text usages concerned with time and calendar. It provides a simple and flexible formalism to express relationships between different time expressions in a text, thereby giving a recipe for resolving them into absolute time. A constraint solver is developed which, as opposed to some earlier approaches, is independent of the order in which temporal information is introduced, and it can give meaningful output also when no exact reference time is available. © 2014 Springer International Publishing.

关键词： Constraint programming

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Ontology-based roles association networks for visualizing trends in political debate 9th

Ontology-based roles association networks for visualizing tr...

引用

9th International and Interdisciplinary Conference on Modeling and Using Context, CONTEXT 2015

作者： Andreasen, Troels Christiansen, Henning Eberholst, Mads Kæmsgaard Research Group PLIS: Programming Logic and Intelligent Systems Roskilde University Roskilde Denmark Department of Communication Business and Information Technologies Research Group: Communication Journalism and Social Change Roskilde University Roskilde Denmark

ISBN: (纸本)9783319255903

Online resources, large data repositories and streaming social network messages embed plenitudes of interesting knowledge, often of associative nature. A specific communicative context, such as the political debate in a given country, has groupings of actors, with changing attitudes and stances towards each other and external, real or invented, threats and opportunities. A new form of associative network is introduced, that integrate flexible ontologies for complex contexts of roles and hierarchies with a labelled association structure representing observed strengths and attitudes. Twitter messages from the political landscape in Denmark up to the general election 2015 are used as a both current and relevant illustrative case. © Springer International Publishing Switzerland 2015.

关键词： Ontology

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Digital education in the coronavirus era 1

Digital education in the coronavirus era

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1st International Scientific Conference on Advances in Science, Engineering and Digital Education, ASEDU 2020

作者： Dzhangarov, A.I. Hanmurzaev, H.E. Potapova, N.V. Department of Programming and Information and Communication Chechen State University Sheripova Street 32 Groznyy364093 Russia Department of Information Educational Technologies Kuban State University Stavropol'skaya street 149 Krasnodar350001 Russia

following work outlines a study of the transformation of the educational process during the coronavirus pandemic. The object of the study is the Moscow region, which in the study is represented by seven universities. The subject of the research is the reports of students of these universities, which contain an opinion about the quality of distance education and the degree of satisfaction with it. Messages were collected and classified using machine learning methods-they were grouped according to various topics, from organizational issues to questions of personal well-being. Based on the results of the research carried out, a general assessment of the digital educational process by students is given. © Published under licence by IOP Publishing Ltd.

关键词： Coronavirus

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A declarative pipeline language for complex data analysis

A declarative pipeline language for complex data analysis

引用

22nd International Symposium on Logic-Based Program Synthesis and Transformation, LOPSTR 2012

作者： Christiansen, Henning Theil Have, Christian Torp Lassen, Ole Petit, Matthieu Research Group PLIS: Programming Logic and Intelligent Systems Department of Communication Business and Information Technologies Roskilde University P.O. Box 260 Roskilde 4000 Denmark

ISBN: (纸本)9783642381966

We introduce BANpipe - a logic-based scripting language designed to model complex compositions of time consuming analyses. Its declarative semantics is described together with alternative operational semantics facilitating goal directed execution, parallel execution, change propagation and type checking. A portable implementation is provided, which supports expressing complex pipelines that may integrate different Prolog systems and provide automatic management of files. © 2013 Springer-Verlag.

关键词： Pipelines

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A proposal of Ontology-based health care information extraction system: VnHIES

A proposal of Ontology-based health care information extract...

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2007 IEEE International Conference on Research, Innovation and Vision for the Future, RIVF 2007

作者： Dung, Tran Quoc Kameyama, Wataru Art and Multimedia Science Department Graduate School of Information and Tele-communication Studies Waseda University Database and Programming Department Institute of Information Technology Viet Nam Art and Multimedia Science Faculty Global Information and Tele-Communication Studies Graduate School Waseda University Japan Art and Multimedia Science GITS Waseda University Japan

ISBN: (纸本)1424406943

This paper presents an Ontology-based health care information extraction system - VnHIES. In the system, we develop and use two effective algorithms called "Semantic Elements Extracting Algorithm" and "New Semantic Elements Learning Algorithm" for health care semantic words extraction and ontology enhancement. The former algorithm will extract Concepts (Cs), Descriptions of concepts (Ds), Pairs of Concept and Description(C-D) and Names of diseases (Ns) in health care information domain from web pages. Those extracted semantic elements are used by latter algorithm that will render suggestions in which might contain new semantic elements for later use by domain users to enrich ontology. After extracting semantic elements, a "Document Weighting Algorithm" is applied to get summary information of document with respect to all extracted semantic words and then to be stored in knowledge base which contains ontology and database to be used later in other applications. Our experiment results show that the approach is very optimistic with high accuracy in semantic extracting and efficiency in ontology upgrade. VnHIES can be used in many health care information management systems such as medical document classification, health care information retrieval system. VnHIES is implemented in Vietnamese language. © 2007 IEEE.

关键词： information systems

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Text, Speech and Dialogue 1

引用

丛书名： Lecture Notes in Computer Science

1000年

作者： Petr Sojka Ivan Kopeček Karel Pala

ISBN: (数字)9783540453239

ISBN: (纸本)9783540410423

The workshop series on Text, Speech and Dialogue originated in 1998 with the ?rst TSD1998 held in Brno, Czech Republic. This year’s TSD2000, already the third in the series, returns to Brno and to its organizers from the Faculty of Informatics at the Masaryk University. As shown by the ever growing interest in TSD series, this annual workshop developed into the prime meeting of speech and language researchers from both sides of the former Iron Curtain, which provides a unique opportunity to get acquainted with the current activities in all aspects of language communication and to witness the amazing vitality of researchers from the former East Block countries. Thanks need to be extended to all who continue to make the TSD workshop series such a success: ?rst, to the authors themselves, without whom TSD2000 would not exist; next, to all organizations that support TSD2000, among them the International Speech communication Association, the Faculty of Informatics at the Masaryk University in Brno and the Faculty of Applied Sciences, West Bohemia University in Plzen; ? and last but not least,to the organizers and members of the Program Committee who spentmuch effort to make TSD2000 success and who reviewed 131 contributions submitted from all corners of the world and accepted 75 out of them for presentation at the workshop. This book is evidence of the success of all involved.

关键词： Artificial Intelligence Popular Computer Science information Storage and Retrieval information Systems Applications (incl. Internet) User Interfaces and Human Computer Interaction Natural Language Processing (NLP)

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Text, Speech and Dialogue 1

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丛书名： Lecture Notes in Computer Science

1000年

作者： Petr Sojka Ivan Kopeček Karel Pala

ISBN: (数字)9783540461548

ISBN: (纸本)9783540441298

The Text, Speech and Dialogue (TSD) Conference 2002, it should be noticed, is now being held for the ?fth time and we are pleased to observe that in its short history it has turned out to be an international forum successfully intertwining the basic ?elds of NLP. It is our strong hope that the conference contributes to a better understanding between researchers from the various areas and promotes more intensive mutual cooperation. So far the communication between man and computers has displayed a one-way nature, humans have to know how the - chines work and only then can they “understand” them. The opposite, however, is still quite far from being real, our understanding of how our “user-friendly” computers can understand us humans is not deep enough yet. A lot of work has to be done both in the near and distant future. Let TSD 2002 be a modest contribution to this goal. The conference also serves well in its second purpose: to facilitate researchers meeting in the NLP ?eld from Western and Eastern Europe. Moreover, many participants now come from other parts of the world, thus making TSD a real crossroadsforresearchersintheNLParea. Thisvolumecontainstheproceedings of this conference held in Brno, September 9–12, 2002. We were honored to have as keynote speakers James Pustejovsky from Brandeis University, and Ronald Cole from the University of Colorado. We would like to thank all the Program Committee members and external reviewers for their conscientious and diligent reviewing work.

关键词： Natural Language Processing (NLP) Artificial Intelligence information Storage and Retrieval information Systems Applications (incl. Internet) Natural Language Processing (NLP)

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Bayesian annotation networks for complex sequence analysis

Bayesian annotation networks for complex sequence analysis

引用

27th International Conference on Logic programming, ICLP 2011

作者： Christiansen, Henning Have, Christian Theil Lassen, Ole Torp Petit, Matthieu Department of Communication Business and Information Technologies Research Group PLIS: Programming Logic and Intelligent Systems Roskilde University P.O.Box 260 DK-4000 Roskilde Denmark

ISBN: (纸本)9783939897316

Probabilistic models that associate annotations to sequential data are widely used in computational biology and a range of other applications. Models integrating with logic programs provide, furthermore, for sophistication and generality, at the cost of potentially very high computational complexity. A methodology is proposed for modularization of such models into sub-models, each representing a particular interpretation of the input data to be analysed. Their composition forms, in a natural way, a Bayesian network, and we show how standard methods for prediction and training can be adapted for such composite models in an iterative way, obtaining reasonable complexity results. Our methodology can be implemented using the probabilistic-logic PRISM system, developed by Sato et al, in a way that allows for practical applications.

关键词： Complex networks

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Stochastic Definite Clause Grammars

Stochastic Definite Clause Grammars

引用

International Conference on Recent Advances in Natural Language Processing, RANLP-2009

作者： Have, Christian Theil Research Group PLIS: Programming Logic and Intelligent Systems Department of Communication Business and Information Technologies Roskilde University P.O.Box 260 DK-4000 Roskilde Denmark

This paper introduces Stochastic Definite Clause Grammars, a stochastic variant of the wellknown Definite Clause Grammars. The grammar formalism supports parameter learning from annotated or unannotated corpora and provides a mechanism for parse selection by means of statistical inference. Unlike probabilistic contextfree grammars, it is a context-sensitive grammar formalism and it has the ability to model cross-serial dependencies in natural language. SDCG also provides some syntax extensions which makes it possible to write more compact grammars and makes it straight-forward to add lexicalization schemes to a grammar.

关键词： Stochastic systems

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Logic-statistic models with constraints for biological sequence analysis

Logic-statistic models with constraints for biological seque...

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25th International Conference on Logic programming, ICLP 2009

作者： Theil Have, Christian Research Group PLIS: Programming Logic and Intelligent Systems Department of Communication Business and Information Technologies Roskilde University P.O.Box 260 Roskilde DK-4000 Denmark

ISBN: (纸本)3642028454

This project aims to investigate biologically inspired, logic-statistic models with constraints. The complexity and expressiveness of models with different kinds of constraints will be examined and algorithms to efficiently cope with inference in and training of such models will be explored. The models will be evaluated with regards to their applicability to biological sequence analysis. © 2009 Springer Berlin Heidelberg.

关键词： Inference engines

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