learning in spoken dialog systems

... mirror a human-human dialog leading to more natural dialogs with the machine. 4.7 Integration into the ontology The foundational ontology (Cimiano et al., 2004) integrated into the dialog system Smartweb ... the ontology learning task. Figure 2: The On2L Life Cycle The sequential steps shown in Figure 2 are de- scribed in more detail in the following paragraphs starting with the processing of the user’s ... from technical texts using machine learning: The system asium. 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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Ngày tải lên: 23/03/2014, 19:20

... variable for each domain entity. 73 6.2 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 be seen in the figure 2 that towards the end the curve plateaus signifying that learning has converged. Figure 2: Learning curves - Training 7 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....

Ngày tải lên: 16/03/2014, 23:20

... s ta lk about NOW: Identifying cue phrases intonationally. In Proc. 25th ACL, pages 163–171. Minqing Hu and Bing Liu. 2005. Mining and summarizing customer reviews. In Proc. KDD, pages 168–177. Alistair ... on which Minipar was trained, the output of Minipar can be inaccurate, leading to failure in conversion. We check whether conversion is suc- cessful in the filtering stage. 2.4 Filtering The goal ... mappings for 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...

Ngày tải lên: 23/03/2014, 18:20

Ngày tải lên: 15/06/2014, 07:01

... 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...

Ngày tải lên: 20/02/2014, 12:20

... for cooperative 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 system using 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 dominant options represent some tradeoff, but depending on the user’s interest, some of them are more interest- ing tradeoffs than others. Pruning dominated...

Ngày tải lên: 22/02/2014, 02:20

Ngày tải lên: 08/03/2014, 01:20

... 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 ,...

Ngày tải lên: 08/03/2014, 02:21

... used by a dialogue manager to decide appro- priate system reactions. The approach is novel in combining machine learning with n-best processing for spoken dialogue systems using the Information State ... tuning. Future work points in two directions: first, inte- grating our methodology into working ISU-based dialogue systems and determining whether or not they 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....

Ngày tải lên: 08/03/2014, 04:22

... 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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Ngày tải lên: 31/03/2014, 20:20

Ngày tải lên: 21/06/2014, 03:20

... this way, we were able to create synthetic training sets of varying sizes, as well as a test set of 1000 dialogs. Each generated dialog d in each training/test set consisted of a sequence of values ... model was esti- mated by transcribing 50 randomly chosen dialogs from the training set in Section 4.2 and calculat- ing the frequency with which the ASR engine rec- ognized ˜ A t such that ˜ A t = ... distributions in our model are multinomials. Hence θ is a vec- tor that parameterizes the user model according to Pr(A t = a | S t = s, U t = u; θ) = θ asu . The problem we are interested in is estimating...

Ngày tải lên: 20/02/2014, 09:20

... Identifying non-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 approach to pronoun resolution in spoken dialogue. In Proceed- ings of the 41st Annual Meeting of the Association for Computational Linguistics, Sapporo, Japan, ... Satou (2004). Improv- ing the identification of non-anaphoric it using Support Vector Machines. In International Joint Workshop on Natural Language Processing in Biomedicine and its Applications,...

Ngày tải lên: 22/02/2014, 02:20

... crucial in scientific discovery’, the pioneering work by Swanson on hypo- thesis generation [299] is mainly credited with sparking interest in text mining techniques in biology. Text mining aids in ... 893 profiling data using machine learning. Plant Physiol 126, 943–951. 68 Kell DB (2002) Metabolomics and machine learning: explanatory analysis of complex metabolome data using genetic programming ... serial arrangements of kinases and kinase kinases (etc.) in signalling cascades, since amplification alone could (have evolved to) be effected simply by increasing the rate constants of a single kinase. Similarly,...

Ngày tải lên: 07/03/2014, 12:20

... 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...

Ngày tải lên: 17/03/2014, 06:20