learning in spoken dialog systems
Báo cáo khoa học: "On2L - A Framework for Incremental Ontology Learning in Spoken Dialog Systems" doc
... mirror a human-human dialog leading to more natural dialogs with themachine.4.7 Integration into the ontologyThe foundational ontology (Cimiano et al., 2004)integrated into the dialog system Smartweb ... the ontology learning task.Figure 2: The On2L Life CycleThe sequential steps shown in Figure 2 are de-scribed in more detail in the following paragraphsstarting with the processing of the user’s ... fromtechnical texts using machine learning: The systemasium. In EKAW ’99: Proceedings of the 11th Eu-ropean Workshop on Knowledge Acquisition, Mod-eling and Management, London, UK. Springer-Verlag.Florian...
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Báo cáo khoa học: "Learning to Adapt to Unknown Users: Referring Expression Generation in Spoken Dialogue Systems" ppt
... variablefor each domain entity.736.2 Learning The REG module was trained in learning mode us-ing the above reward function using the SHAR-SHA reinforcement learning algorithm (with lin-ear function ... (Learned HS) during training. It can beseen in the figure 2 that towards the end the curveplateaus signifying that learning has converged.Figure 2: Learning curves - Training7 Evaluation In this section, ... Situated Spoken Dialogue Task. In Proc.ENLG’09.S. Janarthanam and O. Lemon. 2009c. Learning Lexi-cal Alignment Policies for Generating Referring Ex-pressions for Spoken Dialogue Systems. In Proc.ENLG’09.O....
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Báo cáo khoa học: "Learning to Generate Naturalistic Utterances Using Reviews in Spoken Dialogue Systems" ppt
... s ta lkabout NOW: Identifying cue phrases intonationally. In Proc. 25th ACL, pages 163–171.Minqing Hu and Bing Liu. 2005. Mining and summarizingcustomer reviews. In Proc. KDD, pages 168–177.Alistair ... on which Minipar was trained, the outputof Minipar can be inaccurate, leading to failure in conversion. We check whether conversion is suc-cessful in the filtering stage.2.4 FilteringThe goal ... mappingsfor multi-relation mappings, with those contain-ing a food or service relation occurring more fre-quently as in the single scalar-valued relation map-pings. We found only 21 combinations...
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Tài liệu Báo cáo khoa học: "The Utility of a Graphical Representation of Discourse Structure in Spoken Dialogue Systems" ppt
... Krogh, E. Levin and R. Pieraccini. 2007. Technical Support Dialog Systems: Issues, Problems, and Solu-tions. In Proc. of Workshop on Bridging the Gap: Academic and Industrial Research in Dialog ... B. Clark and S. Peters. 2006. Responding to Student Uncertainty in Spoken Tutorial Dialogue Systems. International Journal of Artificial Intelligence in Education, 16. C. Rich and C. L. Sidner. ... result, the instruction did not match the initial essay quality. Nonetheless, in the open-question interviews, many users indicated using the NM as a reference while updating their essay. In addition...
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Tài liệu Báo cáo khoa học: "Information Presentation in Spoken Dialogue Systems" potx
... forcooperative response generation in information dialogues. In AAAI/IAAI 1999 pp. 148–155.M. Steedman 2000. Information structure and the syntax-phonology interface. In Linguistic Inquiry, 31(4): 649–689.A. ... dialog systemusing simulation. In Proc. of ACL ’04.V. Demberg. 2005. Information presentation in spoken di-alogue systems. Master’s thesis, School of Informatics,University of Edinburgh.J.D. ... of interest for any rational user. All dominantoptions represent some tradeoff, but depending onthe user’s interest, some of them are more interest-ing tradeoffs than others.Pruning dominated...
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Báo cáo khoa học: "Stochastic Discourse Modeling in Spoken Dialogue Systems Using Semantic Dependency Graphs" pdf
... evaluat-ing spoken dialogue agents. In Proceedings of the ACL, 271–280 M. Walker and R. Passonneau. 2001. DATE: a dia-logue act tagging scheme for evaluation of spoken dialogue systems. In ... core technology of the spoken dia-logue systems, since the more accurate information obtained by the machine (Higashinaka et al., 2004), the more possibility to finish the dialogue task. Practical ... computa-tion of meaning. World Scientific Publishing Co Inc. J. Gao, and H. Suzuki. 2003. Unsupervised learning of dependency structure for language modeling. In Proceedings of ACL 2003,...
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Báo cáo khoa học: "Combining Acoustic and Pragmatic Features to Predict Recognition Performance in Spoken Dialogue Systems" pdf
... used by a dialogue manager to decide appro-priate system reactions. The approach is novel in combining machine learning with n-best processingfor spoken dialogue systems using the InformationState ... tuning.Future work points in two directions: first, inte-grating our methodology into working ISU-baseddialogue systems and determining whether or notthey improve in terms of standard dialogue ... understand-ing. In Proceedings of ACL-93.Malte Gabsdil. 2003. Classifying Recognition Re-sults for Spoken Dialogue Systems. In Proceed-ings of the Student Research Workshop at ACL-03.Perry R. Hinton....
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Báo cáo khoa học: "An Architecture for Dialogue Management, Context Tracking, and Pragmatic Adaptation in Spoken Dialogue Systems" pot
... developed for bilingual dialogue in a voice-to-voice machine translation application. In this application, the Dialogue Manager is available for meta- dialogues with either user (as in Could you ... Tracker into the dialogue history. 2 An Architecture for Spoken Dialogue Systems Having introduced our three discourse compo- nents, we now present our overall architecture. It is laid out in ... Actors. In "Automated Spoken Dialogue Systems& quot;, S. Lu- perFoy, ed. MIT Press (forthcoming). LuperFoy. S (1992) The Representation of Multi- modal User-Interface Dialogues Using Discourse...
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Tài liệu Báo cáo khoa học: "Using Automatically Transcribed Dialogs to Learn User Models in a Spoken Dialog System" doc
... this way, we were able tocreate synthetic training sets of varying sizes, as wellas a test set of 1000 dialogs. Each generated dialog d in each training/test set consisted of a sequence ofvalues ... model was esti-mated by transcribing 50 randomly chosen dialogsfrom the training set in Section 4.2 and calculat-ing the frequency with which the ASR engine rec-ognized˜Atsuch that˜At= ... distributions in our model are multinomials. Hence θ is a vec-tor that parameterizes the user model according toPr(At= a | St= s, Ut= u; θ) = θasu.The problem we are interested in is estimating...
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Tài liệu Báo cáo khoa học: "Automatic Detection of Nonreferential It in Spoken Multi-Party Dialog" doc
... Identifyingnon-referential it: a machine learning approach incor-porating linguistically motivated patterns. In Proceed-ings of the ACL Workshop on Feature Selection for Ma-chine Learning in NLP, Ann Arbor, ... M¨uller (2003). A machine learning approachto pronoun resolution in spoken dialogue. In Proceed-ings of the 41st Annual Meeting of the Association forComputational Linguistics, Sapporo, Japan, ... Satou (2004). Improv-ing the identification of non-anaphoric it using SupportVector Machines. In International Joint Workshop onNatural Language Processing in Biomedicine and itsApplications,...
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Báo cáo khoa học: Metabolomics, modelling and machine learning in systems biology – towards an understanding of the languages of cells potx
... crucial in scientificdiscovery’, the pioneering work by Swanson on hypo-thesis generation [299] is mainly credited with sparkinginterest in text mining techniques in biology. Textmining aids in ... 893profiling data using machine learning. Plant Physiol126, 943–951.68 Kell DB (2002) Metabolomics and machine learning: explanatory analysis of complex metabolome datausing genetic programming ... serialarrangements of kinases and kinase kinases (etc.) in signalling cascades, since amplification alone could(have evolved to) be effected simply by increasing therate constants of a single kinase. Similarly,...
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Báo cáo khoa học: "Towards an Optimal Lexicalization in a Natural-Sounding Portable Natural Language Generator for Dialog Systems" pdf
... adapts the pipeline architecture presented in section 2.1 by replacing the document planner with the dialog manager. This makes it more suitable for use in dialog systems, since the dialog manager ... sentences convey the meaning in a concise yet clear manner. Secondly we can define the portability requirement to include both domain and language independence. Domain-independence suggests ... getting frame are: acquire, gain, get, obtain, secure. For each entry, WordNet is consulted as a first pruning mechanism. This results in the following: • Acquire: get • Gain: acquire, win...
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- machine learning in action
- repairs in humancomputer dialog
- coherence in spoken discourse
- pragmatic adaptation in spoken dialogue systems
- user model in spoken dialogue systems
- understanding in spoken dialogue systems
- reviews in spoken dialogue systems
- building practical spoken dialog systems
- combining acoustic and pragmatic features to predict recognition performance in spoken dialogue systems
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