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Probabilistic Dialogue Models for Dynamic Ontology Mapping
[chapter]
2008
Lecture Notes in Computer Science
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Techniques of Ontology and its Usage in Indian Languages - A Review
2015
International Journal of Computer Applications
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It is hereby concluded from the review that in Indian languages usage of ontology is very less because of the challenges to build ontology for minority languages. ...
From the last few decades, different ontology building approaches are being used to build ontology either semi-automatically or automatically. ...
The main focus is on scalable algorithms for answering threshold queries to probabilistic guarded Datalog+/− ontologies. ...
doi:10.5120/19975-1873
fatcat:klt7q4x4qff25mtjvoecrsgtuy
Computational system biology
2012
Nature Precedings
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24
Saga bionetwork
Building Disease Maps
Data Repository
Commons Pilots
Discovery Platform
25
Data handling
Network inference
Deep curation
Dynamical simulation
Model analysis ...
Dynamical simulation
Model analysis
34
Deep curation
• An alternative to data-driven network inference
• The deep curation approach creates a detailed
molecular interaction map by information ...
integration of these tools are necessary to increase the capability of scientist to explore more and more biological systems • Require innovative idea to make this system biology more easy and comfortable for ...
doi:10.1038/npre.2012.7104.1
fatcat:bjpfdz3l25arndtlyeiqpiwhjm
Computational system biology
2012
Nature Precedings
Preserved Fulltext
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24
Saga bionetwork
Building Disease Maps
Data Repository
Commons Pilots
Discovery Platform
25
Data handling
Network inference
Deep curation
Dynamical simulation
Model analysis ...
Dynamical simulation
Model analysis
34
Deep curation
• An alternative to data-driven network inference
• The deep curation approach creates a detailed
molecular interaction map by information ...
integration of these tools are necessary to increase the capability of scientist to explore more and more biological systems • Require innovative idea to make this system biology more easy and comfortable for ...
doi:10.1038/npre.2012.7104
fatcat:kup7lygoizet7jwp6b6dlh3f7a
Emergent Semantics Principles and Issues
[chapter]
2004
Lecture Notes in Computer Science
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Again, we hope for global properties to emerge from a multiplicity of pair-wise, local interactions, resulting eventually in a self-stabilizing semantic infrastructure. ...
This implies for the schemas and classifications a more dynamic handling of the mappings. ...
[31] uses machine-generated ontologies extracted from web forms to integrate web services. In [1] a probabilistic framework for reasoning with assertions on schema relationships is introduced. ...
doi:10.1007/978-3-540-24571-1_2
fatcat:pgon6yxlqvaprncn46x3xtux5u
UMIS: A Service for User Model Interoperability
2012
Advances in Internet of Things
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The goal is to support the process of interoperability in three ways: providing an efficient centralized discovery service; offering a service for simple interaction for the exchange of UM value in a p2p ...
FURNARI 92 Parameters, the goals of the game; 1 To impose a common knowledge model is not always possible, since it is not easy to find a unique complete knowledge model with all the features of the ...
However, other moda f ontology mapping c d be easily included in the work. ...
doi:10.4236/ait.2012.24012
fatcat:3irtdotl6zfdzjhspkopndifv4
Combining ITS and eLearning Technologies: Opportunities and Challenges
[chapter]
2006
Lecture Notes in Computer Science
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Both types of systems have strengths and weaknesses -ITSs are typically domain specific and rely on concise knowledge modeling and learner modeling, while eLearning systems are deployable in a wide range ...
This paper provides possibilities for convergence of these two areas, and describes two of our experiences in providing an ITS-style approach to eLearning systems. ...
The authors are solely responsible for its content. ...
doi:10.1007/11774303_28
fatcat:q3zumfy2pfayrcznam6g4wluzm
A hybrid approach to dialogue management based on probabilistic rules
2015
Computer Speech and Language
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We present a new modelling framework for dialogue management based on the concept of probabilistic rules. ...
Probabilistic rules are defined as structured mappings between logical conditions and probabilistic effects. ...
Kruijff, Kristiina Jokinen, Verena Rieser and Andrei Popescu-Belis for many useful comments. ...
doi:10.1016/j.csl.2015.01.001
fatcat:5j67rdwmvfdh5jkbsieoecqnou
Belief modelling for situation awareness in human-robot interaction
2010
19th International Symposium in Robot and Human Interactive Communication
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Key to our approach is the use of Markov Logic as a unified framework for inference over these beliefs. Markov Logic is a combination of first-order logic and probabilistic graphical models. ...
The approach is being integrated into a cognitive architecture for mobile robots interacting with humans using spoken dialogue. ...
Typical HRI environments are challenging to model, being simultaneously complex, multi-agent, dynamic and uncertain. ...
doi:10.1109/roman.2010.5598723
dblp:conf/ro-man/LisonEK10
fatcat:ou7d6kp4svgwjpawpn7ls3ruwu
Unsupervised Learning and Modeling of Knowledge and Intent for Spoken Dialogue Systems
2015
Proceedings of the ACL-IJCNLP 2015 Student Research Workshop
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In the field of dialogue modeling, the partially observable Markov decision process (POMDP) model is a popular technique for dialogue management [164, 172] , reducing the cost of handcrafted dialogue ...
Ontology induction maps observed surface patterns to semantic slot candidates. Word relation model constructs correlations between surface patterns. ...
doi:10.3115/v1/p15-3001
dblp:conf/acl/Chen15
fatcat:kfxqwlfgpfgl7maz25j42nebme
Interfacing language, spatial perception and cognition in Type Theory with Records
2017
Journal of Language Modelling
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of a formal semantic theory and its practical implementations in situated dialogue agents. ...
Keywords: spatial language, Type Theory with Records (TTR), computational framework We argue that computational modelling of perception, action, language, and cognition introduces several requirements ...
The ontology capturing this knowledge may be static or dynamically built through interaction (Dobnik and Kelleher 2016) . ...
doi:10.15398/jlm.v5i2.148
fatcat:h22gjwyeq5befclfeh4jbiqvg4
Large-scale semantic mapping and reasoning with heterogeneous modalities
2012
2012 IEEE International Conference on Robotics and Automation
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This paper presents a probabilistic framework combining heterogeneous, uncertain, information such as object observations, shape, size, appearance of rooms and human input for semantic mapping. ...
A probabilistic graphical model, a chaingraph, is used to represent the conceptual information and perform spatial reasoning. ...
and probabilistic generative models for data of lower dimensionality or conceptual knowledge). ...
doi:10.1109/icra.2012.6224637
dblp:conf/icra/PronobisJ12
fatcat:lltanixi2rhj7jr56ow7yev5si
Hybrid Control for Embodied Agents Applications
[chapter]
2009
Lecture Notes in Computer Science
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This allows us to choose the most appropriate method for each of the various behavioral processes, e.g. state charts for deliberative processes and rules for reactive behaviors. ...
We propose a hybrid and modular approach to modeling the agent's control, combining state charts and rule processing. ...
We would also like to thank to Charamel GmbH for providing us with their Avatar engine. ...
doi:10.1007/978-3-642-04617-9_66
fatcat:qbt55sgsg5bgxdl6twjouoyqna
Neural Belief Tracker: Data-Driven Dialogue State Tracking
[article]
2017
arXiv
pre-print
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Other Versions
This is due to their dependency on either: a) Spoken Language Understanding models that require large amounts of annotated training data; or b) hand-crafted lexicons for capturing some of the linguistic ...
NBT models reason over pre-trained word vectors, learning to compose them into distributed representations of user utterances and dialogue context. ...
Acknowledgements The authors would like to thank Ivan Vulić, Ulrich Paquet, the Cambridge Dialogue Systems Group and the anonymous ACL reviewers for their constructive feedback and helpful discussions. ...
arXiv:1606.03777v2
fatcat:zdkzrbenqjct3ptaudgun3ph64
Neural Belief Tracker: Data-Driven Dialogue State Tracking
2017
Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
Preserved Fulltext
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The file type is application/pdf.
This is due to their dependency on either: a) Spoken Language Understanding models that require large amounts of annotated training data; or b) hand-crafted lexicons for capturing some of the linguistic ...
NBT models reason over pre-trained word vectors, learning to compose them into distributed representations of user utterances and dialogue context. ...
Acknowledgements The authors would like to thank Ivan Vulić, Ulrich Paquet, the Cambridge Dialogue Systems Group and the anonymous ACL reviewers for their constructive feedback and helpful discussions. ...
doi:10.18653/v1/p17-1163
dblp:conf/acl/MrksicSWTY17
fatcat:ocz7x4ezdzbfrpff4oorycygba
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