Vector Space & Dialog Systems 2014


Vector Space Model

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Autoencoder & Natural Language 2014 | Genetic Algorithms & Dialog Systems 2014


Developing non-goal dialog system based on examples of drama television L Nio, S Sakti, G Neubig, T Toda, M Adriani… – Natural Interaction with …, 2014 – Springer … In: SIGDIAL, pp. 227–231. Seoul (2012) 11. Banchs, RE, Li, H.: IRIS: A chat-oriented dialogue system based on the vector space model. In: ACL (System Demonstrations), pp. 37–42 (2012) 12. Banchs, RE: Movie-dic: A movie dialogue corpus for research and development. … Cited by 5 Related articles All 3 versions

Leveraging frame semantics and distributional semantics for unsupervised semantic slot induction in spoken dialogue systems YN Chen, WY Wang, AI Rudnicky – … Technology Workshop (SLT …, 2014 – ieeexplore.ieee.org … [6] Tomáš Mikolov, Kai Chen, Greg Corrado, and Jeffrey Dean, “Efficient estimation of word representations in vector space,” in Proceedings … Yang Wang, and Alexander I Rud- nicky, “Unsupervised induction and filling of semantic slots for spoken dialogue systems using frame … Cited by 9 Related articles All 6 versions

Utilizing human-to-human conversation examples for a multi domain chat-oriented dialog system NIO Lasguido, S Sakti, G Neubig, T Tomoki… – … on Information and …, 2014 – search.ieice.org … dialog management,” Proc. SLT, pp.324–329, Berkeley, California, USA, 2010. [20] RE Banchs and H. Li, “IRIS: A chat-oriented dialogue system based on the vector space model,” ACL (System Demonstrations), pp.37–42, 2012. … Cited by 3 Related articles All 7 versions

Wikipedia-based Kernels for Dialogue Topic Tracking S Kim, RE Banchs, H Li – Proceedings of ICASSP, 2014 – rbanchs.com … Recently, some researchers [12, 13] have shown the feasibility of using Wikipedia knowledge to build dialogue systems. … kernels for text classification [14], an extended feature space is defined by concatenating the concept space with the previous term vector space as follows: … Cited by 2 Related articles All 3 versions

SARA: Singapore’s Automated Responsive Assistant, a multimodal dialogue system for touristic information AI Niculescu, R Jiang, S Kim, KH Yeo… – Mobile Web Information …, 2014 – Springer … In: Proceedings of ICASSP (2014) 15. Banchs, RE, Li, H.: IRIS: a chat-oriented dialogue system based on the vector space model. In: Proceedings of the ACL 2012 System Demonstrations, pp. 37–42. Association for Computational Linguistics (2012) 16. … Cited by 1 Related articles All 4 versions

[BOOK] Speech and language processing D Jurafsky, JH Martin – 2014 – cs.colorado.edu … In this text we study the vari- Dialogue system ous components that make up modern conversational agents, including language input (automatic speech … Among the most important models are state machines, rule systems, logic, probabilistic models, and vector-space models. … Cited by 25 Related articles All 20 versions

An empirical evaluation of an IR-based strategy for chat-oriented dialogue systems RE Banchs, S Kim – Asia-Pacific Signal and Information …, 2014 – ieeexplore.ieee.org … As already mentioned, IR-based chatbot strategies use the vector space model IR frameworN for implementing a dialogue system. … 2012. IRIS: a chat-oriented dialogue system based on the vector space model, in Demo Session of Association of Computational Linguistics, pp. … Related articles All 2 versions

Text Mining Practical: Project Ideas B QasemiZadeh, S Handschuh – atmykitchen.info … Rafael E. Banchs and Haizhou Li. Iris: A chat-oriented dialogue system based on the vector space model. In Proceedings of the ACL 2012 System Demonstrations, ACL ’12, pages 37–42, Stroudsburg, PA, USA, 2012. Association for Computational Linguistics. …

Improving the robustness of example-based dialog retrieval using recursive neural network paraphrase identification L Nio, S Sakti, G Neubig, T Toda… – … Workshop (SLT), 2014 …, 2014 – ieeexplore.ieee.org … of SIGDIAL, Cambridge, Massachusetts, USA, 2004, pp. 9–18. [11] RE Banchs and H. Li, “IRIS: a chat-oriented dialogue system based on the vector space model,” in Proc. of ACL (System Demonstrations), 2012, pp. 37–42. … Cited by 1 Related articles All 2 versions

Sentence Similarity Based on Semantic Vector Model Z Jingling, Z Huiyun, C Baojiang – P2P, Parallel, Grid, Cloud …, 2014 – ieeexplore.ieee.org Page 1. Sentence Similarity Based on Semantic Vector Model … Abstract—Sentence similarity measures play an increasingly important role in text-related research and applications in areas such as text mining, Web page retrieval, and dialogue systems. … Related articles

A Brief History and Recent Trend of Spoken Dialog Systems (SDS) T Kawahara – 2014 – ncmmsc.org … In Proc. ICSLP, pp.723–726 (2000) • [Raux 05] Raux, A., Langner, B., Bohus, D., Black, AW and Eskenazi, M.: Let’s Go Public! Taking a spoken dialog system to the real world. In Proc. … Approach b li ? t ti ti l(V t S M dl) – symbolic ? statistical (Vector Space Model) … Related articles All 2 versions

A Dialog System with Human-to-Human Conversation Example L Nio, S Sakti, G Neubig, T Toda, S Nakamura – phontron.com … pus,” in Proc. of SIGDIAL, Seoul, South Korea, 2012, pp. 227–231. [5] RE Banchs and H. Li, “IRIS: a chat-oriented dialogue system based on the vector space model,” in ACL (Sys- tem Demonstrations), 2012, pp. 37–42. [6] D. Liu … Related articles

Semi-supervised learning of dialogue acts using sentence similarity based on word embeddings X Yang, J Liu, Z Chen, W Wu – Audio, Language and Image …, 2014 – ieeexplore.ieee.org … An important task in spoken dialog systems is dialog act modeling which determines the dialogue acts of … are trained with recent neural networks[11][12] in Section 2. Section 3 describes vector space representations of … global semantic vector Document corpus weighted average … Related articles

Topic model allocation of conversational dialogue records by Latent Dirichlet Allocation JF Yeh, CH Lee, YS Tan, LC Yu – Asia-Pacific Signal and …, 2014 – ieeexplore.ieee.org … The topic detection and tracking is more essential for understanding of spoken language especially in dialogue systems. … methods, and it has two advantages: (1) In the case of non-linear, SVM can mapping low dimensions on high dimensions or vector space by mapping … Related articles All 2 versions

Question Answering System S Nalawade, S Kumar, D Tiwari – ijsr.net … Since 1960s, till the field was in its infancy, a variety of natural language database front-ends, dialog systems, and language understanding … Vector Space Model (VSM): This is an algebraic model for representing text documents [13], models both the documents in the collection … Related articles All 2 versions

Spoken Language Recognition S Kacprzak – dsp.agh.edu.pl … i or to the other languages? [1] Page 3. Why do we need language recogniton? • Multilanguage spoken dialog systems (eg, iformational terminals) • Database, archive-search and retrieval systems … Page 12. Parralel PRLM [1] Page 13. Vector Space Modeling (VSC) [1] Page 14. … Related articles

Luke, I am your father: dealing with out-of-domain requests by using movies subtitles D Ameixa, L Coheur, P Fialho, P Quaresma – Intelligent Virtual Agents, 2014 – Springer … Dealing with Out-of-Domain Requests by Using Movies Subtitles 21 3. Banchs, RE, Li, H.: Iris: a chat-oriented dialogue system based on the vector space model. In: ACL (System Demonstrations), pp. 37–42 (2012) 4. Bernsen, NO, Dybkjær, L.: Meet hans christian anderson. … Cited by 2 Related articles All 8 versions

Dynamically supporting unexplored domains in conversational interactions by enriching semantics with neural word embeddings YN Chen, A Rudnicky – Spoken Language Technology …, 2014 – ieeexplore.ieee.org … Spoken dialogue systems (SDS) are appearing on smart-phones and allow users to launch applications via spontaneous speech. … Then the similarity between a pair of tokens xa, xb, Sim(xa, xb), can be com- puted as their cosine similarity in the continuous vector space [20]. … Cited by 9 Related articles All 4 versions

Conversation dialog corpora from television and movie scripts L Nio, S Sakti, G Neubig, T Toda… – Co-ordination and …, 2014 – ieeexplore.ieee.org … However, there are still possible challenges such as dealing with the nonstandard words or emoticons. REFERENCES [1] RE Banchs and H. Li, “IRIS: a chat-oriented dialogue system based on the vector space model,” in ACL (System Demonstrations), 2012, pp. 37–42. … Related articles All 4 versions

Taking Antonymy Mask off in Vector Space E Santus, Q Lu, A Lenci, CR Huang – 2014 – anthology.aclweb.org … Taking Antonymy Mask off in Vector Space … Yet, antonymy is essential for many Natural Language Processing (NLP) applications, such as Information Retrieval (IR), Ontology Learning (OL), Machine Translation (MT), Sentiment Analysis (SA) and Dialogue Systems (Roth and … Cited by 2 Related articles All 9 versions

The Simple4All Project Consortium RAJ Clark – 2014 – mazsola.iit.uni-miskolc.hu … Sources of Text Sources of Speech Vector space models VAD models Speech extraction User interaction Speech vocoding Text normalisation Style diarisation … 1502 Page 2. Figure 2: Morfessor demonstration. • Emotional speech in the context of dialogue systems. … Related articles All 5 versions

Using subtitles to deal with Out-of-Domain interactions D Magarreiro, L Coheur, FS Melo – algos.inesc-id.pt … Springer-Verlag. Rafael Banchs and Haizhou Li. 2012. IRIS: a chat- oriented dialogue system based on the vector space model. In Proc. 50th Annual Meeting of the ACL: System Demonstrations 50th Meeting ACL (System Demonstrations), pages 37–42. Rafael E. Banchs. … Related articles All 2 versions

Deep learning of knowledge graph embeddings for semantic parsing of twitter dialogs L Heck, H Huang – Signal and Information Processing ( …, 2014 – ieeexplore.ieee.org … These representations, called neural word embeddings, combine vector space semantics with the pre … knowledge graph (KG) embeddings: a dense, continuous-valued semantic vector representation of … and browse sessions for multi-turn spoken dialog systems,” in Proceedings … Cited by 2 Related articles All 8 versions

TexEmo: Conveying Emotion from Text-The Study MC Jain, VY Kulkarni – International Journal of Computer Applications, 2014 – Citeseer … External Knowledge Source • Feature Extraction- Bag of Words approach, BOW limitation • Classification Schema- Vector Space Model- Term … Interaction System: Various kinds of the Human centered communication systems, such as dialogue systems, automatic answering … Cited by 1 Related articles All 3 versions

Recursive neural network paraphrase identification for example-based dialog retrieval L Nio, S Sakti, G Neubig, T Toda… – Asia-Pacific Signal …, 2014 – ieeexplore.ieee.org … Proc. of ICML, New York, NY, USA, 2008, pp. 160–167. [14] RE Banchs and H. Li, “IRIS: a chat-oriented dialogue system based on the vector space model,” in Proc. of ACL (System Demonstrations), 2012, pp. 37–42. [15] RE … Related articles All 4 versions

Task Estimation Using Latent Semantic Analysis of Visual Scenes and Spoken Words M Kimura, S Sawada, Y Iribe… – Electronics and …, 2014 – Wiley Online Library … Download figure to PowerPoint. 2.1 Vector space representation of tasks. … In this study, we deal only with the classification of known tasks. In investigations of document classification and other fields of text analysis, documents have been expressed by means of a vector space. … Related articles All 3 versions

Biomedical text mining: State-of-the-art, open problems and future challenges A Holzinger, J Schantl, M Schroettner, C Seifert… – … Discovery and Data …, 2014 – Springer … Springer, Heidelberg (2007); Liu, G.: Semantic Vector Space Model: Implementation and Evaluation. … of Biomedical Informatics 41(6), 1070–1087 (2008) CrossRef; Yeh, JF, Wu, CH, Chen, MJ: Ontology-based speech act identification in a bilingual dialog system using partial … Cited by 10 Related articles All 5 versions

Semantic Similarity Calculation of Short Texts Based on Language Network and Word Semantic Information Z Zhan, F Lin, X Yang – Advanced Computer Architecture, 2014 – Springer … database, it can extend the inquiry interface [4]. Moreover, it also has important applications in health advisory dialogue system [5], property sales [6], telephone sales [7] and smart tour guide [8]. Traditional methods of similarity measure like Vector Space Similarity Measure will … Related articles All 3 versions

Chatbots as Interface to Ontologies A Augello, G Pilato, G Vassallo, S Gaglio – Advances onto the Internet of …, 2014 – Springer … Even if the simple technology allows to easily implement a dialogue system, the obtained conversation is limited by pattern matching rules on … the knowledge base of a community of chatbots, each one expert in a specific topic is coded in a semantic vector space allowing them … Cited by 2 Related articles All 3 versions

Question answering system: A heuristic approach V Bhoir, MA Potey – Applications of Digital Information and Web …, 2014 – ieeexplore.ieee.org … II. RELATED WORK Since 1960s, a variety of natural language database frontends, dialog systems and language understanding systems were created. … There are many types of IR system protocols used in the present day scenarios like the Vector Space Model (VSM) [12 … Cited by 1 Related articles All 2 versions

Robust Example-based Dialog Retrieval using Distributed Word Representations and Recursive Autoencoders L Nio, S Sakti, G Neubig, T Toda, S Nakamura – phontron.com … of SIGDIAL, Cambridge, Massachusetts, USA, 2004, pp. 9-18. [11] RE Banchs and H. Li, “IRIS: a chat-oriented dialogue system based on the vector space model,” in Proc. of ACL (System Demonstrations), 2012, pp. 37-42. [12 … Related articles

Computational Discourse Analysis M Dascalu – Analyzing Discourse and Text Complexity for Learning …, 2014 – Springer … From a cognitive point of view, LSA has been thoroughly analyzed, with two prominent directions. Firstly, LSA can be seen as an expression of meaning as each word can be represented as a context-free vector in the semantic vector-space model (Kintsch 2000, 2001). … Related articles

Re-ranking ASR Outputs for Spoken Sentence Retrieval Y Song, H Ahn, H Kim – ceur-ws.org … (3) To represent ASR outputs in the vector space of Ranking SVM, we should convert each ASR output into feature vectors. … Association, pp.2137-2140 (2004) 5. Choi, J., Lee, D., Ryu, S., Lee, K., Lee, GG: Engine-Independent ASR Error Management for Dialog Systems. … Related articles All 3 versions

Bootstrapping Dialog Systems with Word Embeddings G Forgues, J Pineau, JM Larchevêque, R Tremblay – cs.cmu.edu … We accordingly focus on improving dialog systems in their early stages when very little training data is available. … Efficient estimation of word representations in vector space. In Proceedings of Workshop at the International Conference on Learning Representations, 2013. … Related articles

Cross-lingual acoustic modeling for Indian languages based on Subspace Gaussian Mixture Models NM Joy, B Abraham, K Navneeth… – … (NCC), 2014 Twentieth …, 2014 – ieeexplore.ieee.org … But in SGMM, subspace of the full parameter space is controlled by a global mapping from a vector space to the space of … A. MANDI Database The speech data was collected for developing spoken dialog systems for accessing the price of agricultural commodities in various … Cited by 1 Related articles

An Information Retrieval Approach to Short Text Conversation Z Ji, Z Lu, H Li – arXiv preprint arXiv:1408.6988, 2014 – arxiv.org … An alternative approach is to build a dialogue system with a knowledge base consisting of large number of question-answer pairs. … The results show that phrase-based SMT (Koehn et al., 2007) works better than vector space model (VSM) (Salton et al., 1975) in IR in terms of … Cited by 2 Related articles All 3 versions

Psychomime Classification Using Similarity Measures and Fuzzy c-Means Y Kurosawa, T Takezawa, TD Pham – Biomedical Informatics and …, 2014 – Springer … This means it is difficult to regard the second psychomime as belonging to the same group. This arrangement might have resulted from the vector space description, which used 879 content words to form a high-dimensional vector. … Cited by 1 Related articles All 3 versions

Theoretical analysis of diversity in an ensemble of automatic speech recognition systems K Audhkhasi, AM Zavou, PG Georgiou… – Audio, Speech, and …, 2014 – ieeexplore.ieee.org … Appendix A further explores this link. We first propose a simple vector space model for ROVER WER in Section II to establish the link with ambiguity decomposition. … The three axes constitute the Euclidean vector space arising due to the 1-in-3 encoding of words. … Cited by 8 Related articles All 4 versions

QAS SD Joshi – ijaiem.org … Since 1960s, a variety of natural language database frontends, dialog systems and language understanding systems were created. … There are many types of IR system protocols used in the present day scenarios like the Vector Space Model (VSM) [12], Probability Retrieval … Related articles

KWSnet Robots/Robotics Index KW Smith – 2014 – kwsnet.com … Dr. Olney’s primary research interests are in cognitive science and the psychology of language. Specific interests include vector space models, dialogue systems, unsupervised grammar induction, robotics, and intelligent tutoring systems. … All 2 versions

Multimodal analytics and its data ecosystem M Koutsombogera, H Papageorgiou – Proceedings of the 2014 …, 2014 – dl.acm.org … and signaling that multimodal learning fits the deep representation paradigm with shared representations of the different modalities involved in human-computer interaction and multimodal dialogue systems [3, 9 … Efficient estimation of word representations in vector space. … Cited by 1 Related articles All 3 versions

Extraction of Salient Sentences from Labelled Documents M Denil, A Demiraj, N de Freitas – arXiv preprint arXiv:1412.6815, 2014 – arxiv.org … et al., 2014; Hermann & Blunsom, 2014), question answering (Bordes et al., 2014; Weston et al., 2014), dialogue systems (Kalchbrenner & … Distributed representations of language enable us to encode the semantics of language into the geometry of a continuous vector space. … Cited by 4 Related articles All 3 versions

An introduction to question answering over linked data C Unger, A Freitas, P Cimiano – Reasoning Web. Reasoning on the Web …, 2014 – Springer Page 1. An Introduction to Question Answering over Linked Data Christina Unger 1 , André Freitas 2 , and Philipp Cimiano 1 1 CITEC, Bielefeld University, Inspiration 1, 33615 Bielefeld 2 Insight, National University of Galway (NUIG), Galway Abstract. … Cited by 2 Related articles All 4 versions

Metaphor detection with cross-lingual model transfer YTLBA Gershman, ENC Dyer – Proceedings of the Annual Meeting of …, 2014 – cs.cmu.edu … tion, machine translation, dialog systems, senti- ment analysis, and text analytics, etc.) would have access to a potentially useful … We define three main feature categories (1) ab- stractness and imageability, (2) supersenses, (3) unsupervised vector-space word representations … Cited by 1 Related articles All 13 versions

Latent semantic rational kernels for topic spotting on conversational speech C Weng, DL Thomson, P Haffner… – Audio, Speech, and …, 2014 – ieeexplore.ieee.org … A. LSRK Generalization using Vector Space Models Vector space models (VSM) [18] represent documents as vectors of indexed words and evaluate the similarity between documents using a cosine similarity measure in an algebraic framework. … Cited by 1 Related articles All 2 versions

Predicting Personality Traits using Multimodal Information F Alam, G Riccardi – Proceedings of the 2014 ACM Multi Media on …, 2014 – dl.acm.org … such as text [5], speech [2] and facial expres- sions [4]. The domains include personality of the blogger [8], dialogue system, social media … Lex): From the transcription we ex- tracted lexical features (tokens) and then transformed them into a bag-of-words, vector space model. … Cited by 1 Related articles All 4 versions

Emoticon recommendation in microblog using affective trajectory model WB Liang, HC Wang, YA Chu… – Asia-Pacific Signal and …, 2014 – ieeexplore.ieee.org … Machine learning approaches such as Na?ve Bayes, support vector machine [16], vector space models eg, LSA, pLSA [17], and latent Dirichlet allocation … C.-H. Wu, and M.-H. Sheng, “Affective-cognitive dialogue act detection in an error-aware spoken dialogue system,” in Signal … Related articles All 2 versions

An event driven fusion approach for enjoyment recognition in real-time F Lingenfelser, J Wagner, E André… – Proceedings of the …, 2014 – dl.acm.org … We present a fusion approach, handling short-timed events in a vector space, which is of special interest for real-time ap- plications. … We generalize this approach by designing a fusion scheme that operates in a user-defined vector space. … Cited by 2 Related articles All 3 versions

Latent Semantic Analysis for Multimodal User Input With Speech and Gestures PY Hui, HY Meng – Audio, Speech, and Language Processing, …, 2014 – ieeexplore.ieee.org … that the informational goal inference accuracy of a disjoint test set is 99% and 84% when a perfect and imperfect projection model is used respectively, which performs significantly better than (at least 9.9% absolute) the baseline performance using vector-space model (VSM). … Cited by 3 Related articles All 8 versions

[BOOK] Markov models for pattern recognition: from theory to applications GA Fink – 2014 – books.google.com Page 1. Markow Models for Pattern Recognition From Theory to Applications Page 2. Advances in Computer Vision and Pattern Recognition For further volumes: www.springer.com/series/4205 Page 3. Gernot A. Fink Markov … Cited by 165 Related articles All 10 versions

Application and evaluation of a conditioned hidden markov model for estimating interaction quality of spoken dialogue systems S Ultes, R ElChab, W Minker – Natural Interaction with Robots, Knowbots …, 2014 – Springer … dialogue’s initial rating is 5. Parameters used as input variables for the IQ model have been derived from the dialogue system modules automatically … Like the continuous HMM, the CHMM also consists of a discrete set of hidden states wi ? W and a vector space of observations … Cited by 3 Related articles All 5 versions

The information paradox. A GILCHRIST – Scire, 2014 – search.ebscohost.com … Early successes included the database of the National Library of Medicine in the early 1970s and the Lockheed Dialog system. … probabilistic searching and Gerard Salton of Cornell Universi- ty followed this up with the more mathematically complex Vector Space Modelling. … Related articles

Component pluggable dialogue framework and its application to social robots R Jiang, YK Tan, DK Limbu, TA Dung, H Li – Natural Interaction with …, 2014 – Springer … Germany (2003) 11. Heinroth T., Denich, D.: Spoken interaction within the computed world: evaluation of a multitasking adaptive spoken dialogue system. … Xi’an, China (2011) 13. Li, H., Ma, B., Lee, CH: A vector space modeling approach to spoken language identification. … Cited by 7 Related articles All 5 versions

Classical databases and knowledge organization: A case for boolean retrieval and human decision-making during searches B Hjørland – Journal of the Association for Information Science …, 2014 – Wiley Online Library … This paper begins such an examination but is only concerned with systems based on the Boolean retrieval model. The most prestigious IR models (such as vector space models, probabilistic models, and language models) are left to a later paper.1. … Cited by 2 Related articles All 4 versions

On-line and Off-line Chinese-Portuguese Translation Service for Mobile Applications RE Banchs, A Gelbukh – Computación y Sistemas, 2014 – scielo.org.mx … working on the application of vector space models along with linear and nonlinear projection techniques to improve the quality of statistical machine translation, cross-language information retrieval systems, natural language understanding and automated dialogue systems. … Related articles All 17 versions

Adaptive operator switching and solution space probability structure based genetic algorithm for information retrieval through pattern recognition J Dalai, SZ Hasan, B Sarkar… – Circuit, Power and …, 2014 – ieeexplore.ieee.org … systems like Lockheed Dialogue system also came into picture during that decade itself. A variety of advanced techniques for text based information retrieval trough web search are available, which include efficient text indexing, Boolean and vector space retrieval models, text … Related articles

A Multi-source Knowledge Fusion Strategy to Improve Confidence Measure in a Lattice-based Spoken Term Detection System? X Gao, J Pan, Y Yan – joics.com … [1] F. Jur?ek, B. Thomson, S. Young, Reinforcement learning for parameter estimation in statistical spoken dialogue systems, Computer Speech … 2011, 142-150 [17] T. Mikolov, K. Chen, G. Corrado et al., Efficient estimation of word representations in vector space, Proceedings of … Related articles

Syntactic filtering and content-based retrieval of Twitter sentences for the generation of system utterances in dialogue systems R Higashinaka, N Kobayashi, T Hirano, C Miyazaki… – Proc. IWSDS, 2014 – uni-ulm.de … Baseline The whole index is used for sentence retrieval. In ranking the sentences, a vector space model using TF-IDF weighted word vectors is used. … Proceedings of 5th International Workshop on Spoken Dialog Systems Napa, January 17-20, 2014 120 Page 9. … Cited by 4 Related articles

Joint semantic utterance classification and slot filling with recursive neural networks D Guo, G Tur, W Yih, G Zweig – Spoken Language Technology …, 2014 – ieeexplore.ieee.org … Performing intent determination and slot filling together in one model simplifies a dialog system, since only one model needs to be trained and tuned, and only one model needs to be used … [19] Karl Moritz Hermann and Phil Blunsom, “The role of syntax in vector space models of … Cited by 1 Related articles All 10 versions

JURIX2013-DoCoPe Doctoral Consortium and Poster Sessions M Palmirani, G Sartor – Citeseer … Dialogue System Toward automation for this analysis, we develop a dialogue system to support the process of constructing the argument … related terms to the query terms c. Development of format-independent indexing and search system using vector space classification d … Related articles

Advances in Wikipedia-based Interaction with Robots G Wilcock, K Jokinen – Proceedings of the 2014 Workshop on …, 2014 – dl.acm.org … 4. OTHER NEW DIRECTIONS The main restriction on classical spoken dialogue systems has been their inability to move out of a limited domain such as flight … This problem could be overcome by calculating semantic similarities of Wikipedia articles using vector space models. … Related articles All 2 versions

Cluster based Chinese Abbreviation Modeling Y Shi, YC Pan, MY Hwang – Fifteenth Annual Conference …, 2014 – mazsola.iit.uni-miskolc.hu … In some practical applications (eg dialogue systems and voice search systems), document level context information is not available. … 196–201. [17] T. Mikolov, K. Chen, G. Corrado, and J. Dean, “Efficient Esti- mation of Word Representations in Vector Space,” ArXiv e-prints, Jan. … Related articles All 4 versions

Experiments in Information Storage and Retrieval and Document Classification using the Vector Space Model A Users’ Guide – cs.uni.edu … 2008] which supports a string handling and a multidimensional database model which is ideally suited for vector space model implementations. … are taken from IBM STAIRS [Blair 1996] (known as SearchManager/370 in later versions) and Lockheed’s original DIALOG systems. … Related articles

Interacting with Traditional Chinese Culture through Natural Language X Wang, ET Khoo, R Nakatsu, A Cheok – Journal on Computing and …, 2014 – dl.acm.org … Natural language interfaces General Terms: Algorithms, Design Additional Key Words and Phrases: Conversational agents, dialogue systems, intangible cultural … We adopt the Vector Space Model, a classical approach to text information retrieval [Singhal 2001; Lease 2007]. … Related articles

Deriving local relational surface forms from dependency-based entity embeddings for unsupervised spoken language understanding YN Chen, D Hakkani-Tur, G Tur – … Technology Workshop (SLT), …, 2014 – ieeexplore.ieee.org … Yang Wang, and Alexander I. Rud- nicky, “Unsupervised induction and filling of semantic slots for spoken dialogue systems using frame … [14] Tomas Mikolov, Kai Chen, Greg Corrado, and Jeffrey Dean, “Efficient estimation of word representations in vector space,” in Proceedings … Cited by 7 Related articles All 10 versions

Reranked aligners for interactive transcript correction B Favre, M Rouvier, F Bechet – Acoustics, Speech and Signal …, 2014 – ieeexplore.ieee.org … enhance the performance of spoken dialogue sys- tems by means of implicit recovery of asr errors,” in Spo- ken Dialogue Systems for Ambient … [31] Tomas Mikolov, Kai Chen, Greg Corrado, and Jeffrey Dean, “Efficient estimation of word representations in vector space,” in ICLR … Cited by 1 Related articles All 4 versions

Joint decoding of complementary utterances M Rouvier, B Favre, F Bechet – Spoken Language Technology …, 2014 – ieeexplore.ieee.org … such as speech- to-speech translation or voice search, can also benefit from clarification interactions by deploying a dialog system that de … [10] Tomas Mikolov, Kai Chen, Greg Corrado, and Jeffrey Dean, “Efficient estimation of word representations in vector space,” ICLR, 2013. … Related articles All 2 versions

An artificial neural network approach to automatic speech processing SM Siniscalchi, T Svendsen, CH Lee – Neurocomputing, 2014 – Elsevier An artificial neural network (ANN) is a powerful mathematical framework used to either model complex relationships between inputs and outputs or find patterns i. Cited by 7 Related articles All 5 versions

A News Aggregator Using Semantic and Data Mining Technologies AP Ventouris – ikee.lib.auth.gr … as cells. 3.1.1 Cosine Similarity The weighted table of the TF-IDF can be visualized as a Vector Space [24] where documents are the vectors and the TF-IDF scores the values for each term. Figure 4 The Vector Space Model in N-dimensions Page 23. 22 …

R-cube: a dialogue agent for Restaurant Recommendation and Reservation S Kim, RE Banchs – Asia-Pacific Signal and Information …, 2014 – ieeexplore.ieee.org … The full dialogue system implementation comprises a total of 56 rules distributed across the different dialogue sub- systems. … of question-answer pairs and each pair in the index is matched with a given input query to compute the contextual similarity based on vector space model … Cited by 1 Related articles All 2 versions

Open-domain utterance generation using phrase pairs based on dependency relations H Sugiyama, T Meguro, R Higashinaka… – … (SLT), 2014 IEEE, 2014 – ieeexplore.ieee.org … 1. INTRODUCTION Chatting with people about open-domain topics is an impor- tant function for dialogue systems. … We used the Whoosh retrieval library3, which retrieves sentences based on BM25F-weighted vector-space sim- ilarity [13]. … Related articles

Unsupervised Induction of Semantic Roles within a Reconstruction-Error Minimization Framework I Titov, E Khoddam – arXiv preprint arXiv:1412.2812, 2014 – arxiv.org … Semantic roles have many potential applications in NLP and have been shown to benefit question answering [47, 29], textual entailment [46], machine translation [57, 36, 56, 21], and dialogue systems [5, 53], among … Efficient estimation of word repre- sentations in vector space. … Related articles All 3 versions

Summer Internship Report O Kilic – cis.temple.edu … 2010), instruction-demonstration pairs observed from a virtual world (Chen and Mooney, 2011), conversation logs via dialog systems (Artz and Zettlemoyer, 2011), and visual sensors (Matuszek et al., … From frequency to meaning: Vector space models of semantics. Journal … Related articles

Automatic Vocabulary Adaptation Based on Semantic and Acoustic Similarities S Yamahata, Y Yamaguchi, A Ogawa… – … on Information and …, 2014 – search.ieice.org … We determine the semantic vector of each OOV word by term and document frequencies of co-occurrence words that appear around each OOV word in relevant documents. … First, we describe the semantic vector of an OOV word. … Related articles All 5 versions

Automatic creation of semantic data about football transfer in sport news QM Nguyen, TD Cao, TT Nguyen – Proceedings of the 16th International …, 2014 – dl.acm.org … Smartweb System [4] is a multi-dialog system arising answers from the semantic web services. … It uses a vector-space model to assign the correct concept or to determine that this mention does not correspond to a concept in ontology. … Related articles

Formal semantics for perceptual classification PREPRINT VERSION S Larsson – researchgate.net Page 1. Formal semantics for perceptual classification PREPRINT VERSION Staffan Larsson Department of Philosophy, Linguistics and Theory of Science University of Gothenburg Box 200, SE40530 Göteborg, Sweden sl@ling.gu.se Telephone: +46 786 4378 Abstract … Related articles All 2 versions

Meta-Modeling QoE M Varela, L Skorin-Kapov, F Guyard… – PIK-Praxis der …, 2014 – degruyter.com … In a “vector space” like approach, ARCU can be conveniently considered as the direct sum1 of the spaces A, R, C and U, that is ARCU = A È R È C È U. A point in ARCU can therefore be represented as a quadruple (a,r,c,u) of “vec- tors” whose coordinates are associated to the … Related articles All 2 versions

Foundations and Trends in Signal Processing L Deng, Y Dong – Signal Processing, 2014 – research.microsoft.com Page 1. the essence of knowledge FnT SIG 7:3-4 Deep Learning; Methods and Applications Li Deng and Dong Y u Foundations and Trends® in Signal Processing 7:3-4 Deep Learning Methods and Applications Li Deng and Dong Yu now now Page 2. 7.1. … Cited by 2 Related articles All 12 versions

Text Mining of Business-Oriented Conversations at a Call Center H Takeuchi, T Yamaguchi – Data Mining for Service, 2014 – Springer … 5.1 Data Model. We represent conversational data records with a Vector Space Model. … 737–744. (2006). 8. Hastie, HW, Prasad, R., Walker, MA: What’s the trouble: automatically identifying problematic dialogues in darpa communicator dialogue systems. … Related articles All 3 versions

Probabilistic bisimulation: Naturally on distributions H Hermanns, J Kr?ál, J K?etínský – CONCUR 2014–Concurrency Theory, 2014 – Springer … Unlike in an MDP, such choice is not based on the knowledge of the current state, only on knowing that the current state belongs into an observation o ? O. POMDPs have a wide range of applications in robotic control, automated planning, dialogue systems, medical diagnosis … Cited by 7 Related articles All 11 versions

Report on learning semantic analysis components A Vlachos, S Clark – 2014 – spacebook-project.eu Page 1. Report on learning semantic analysis components Andreas Vlachos, Stephen Clark Distribution: Public SpaceBook Spatial & Personal Adaptive Communication Environment: Behaviors & Objects & Operations & Knowledge 270019 Deliverable 4.1.3 February 28, 2014 … Related articles All 2 versions

Scaffolding Made Visible AM Olney – Design Recommendations for Intelligent Tutoring …, 2014 – books.google.com … com/doi/pdf/10.1207/s15327809jls1303_6 Person, NK & Graesser, AC (2003). Fourteen facts about human tutoring: Food for thought for ITS developers. In AIED 2003 Workshop Proceedings on Tutorial Dialogue Systems: With a view toward the classroom (pp. 335-344). … Related articles All 7 versions

Front-End Noise Reduction Algorithms For Automatic Speech Recognition DAI PENG – 2014 – researchgate.net … 1.1 Motivation Speech processing technology has drawn significant attention due to its numerous applications, eg hearing aids, cellular telephone, automated dialogue system, and real-time spoken language translation [3–12]. Speech processing technology consists …

An attribute detection based approach to automatic speech processing SM Siniscalchi, CH Lee – Loquens, 2014 – loquens.revistas.csic.es … This number, often referred to as a CM, serves as a reference guide for the dialogue system to provide an appropriate response to … A vector space modeling (VSM) approach to SLR was adopted to accomplish the recognition task, where a spoken utterance is first decoded into a … Related articles

Ontology-based interpretation of natural language P Cimiano, C Unger, J McCrae – Synthesis Lectures on …, 2014 – morganclaypool.com … 2010 Page 7. v Spoken Dialogue Systems Kristiina Jokinen and Michael McTear 2009 Introduction to Chinese Natural Language Processing Kam-Fai Wong, Wenjie Li, Ruifeng Xu, and Zheng-sheng Zhang 2009 Introduction … Cited by 9 Related articles All 6 versions

Automatically generating reading lists JG Jardine – … of Cambridge, Computer Laboratory, Technical Report, 2014 – cl.cam.ac.uk … TFIDF is usually implemented inside the vector-space model (Salton et al. … The TFIDF vector-space model represents documents using a mathematical construct that does not retain much of the structure of the original documents. … Related articles All 4 versions

Position Papers, 2014 Specialist Meeting—Spatial Search A Franklin, R Hardy, L McDonald – spatial.ucsb.edu … Computationally, this approach to place search can be modeled in analogy to traditional information retrieval in a vector space model, as summarized in Table 1. Given a … [5] H. Cuayáhuitl, N. Dethlefs, K.-F. Richter, T. Tenbrink, and J. Bateman, “A dialogue system for indoor … Related articles

Modeling language with structured penalties AK Nelakanti – 2014 – tel.archives-ouvertes.fr … interactive machines. It has applications spanning across various domains, such as dialogue systems, text generation and machine translation among others and has been studied extensively in the past decades. Among problems … Related articles All 6 versions

Providing universally accessible interactive services through TV sets: Implementation and validation with elderly users M Pasealekua, M Lardizabal – researchgate.net … [11]. Some of the work that could help making the TV remote control more accessible is the use of objects such as pillows, gesture recognisers, speech interaction and dialogue systems [12], and the use of devices such as mobile phones and PDAs. … Related articles

Effective hand gesture classification approaches P Premaratne – Human Computer Interaction Using Hand Gestures, 2014 – Springer … Concieved by Pafnuty Chebyshev, Chebyshev distance (or Tchebychev distance), Maximum metric is a metric defined on a vector space where the distance between two vectors is the greatest of their differences along any coordinate dimension [3, 4]. It is also known as … Cited by 1 Related articles

Adaptation Techniques for Dealing with Accent Variation in Automatic Speech Recognition R Williamson – project-archive.inf.ed.ac.uk Page 1. Adaptation Techniques for Dealing with Accent Variation in Automatic Speech Recognition Rebecca Williamson T H E U NIVER S I T Y O F E DI NBU R G H Master of Science Artificial Intelligence School of Informatics University of Edinburgh 2014 Page 2. Abstract …

[BOOK] Human-Computer Interaction K MEENA, R SIVAKUMAR – 2014 – books.google.com … Contents D vii 3.9 Subsumption Architecture 77 3.9.1 Structural Organisation of Subsumption Architecture 77 3.9.2 Behavioural Description 78 Review Questions 79 4. Spoken Dialogue System 80 4.1 Introduction 80 4.2 Factors Defining Dialogue System 81 4.2.1 Overview of … Related articles

[BOOK] Concurrent Objects and Beyond: Papers Dedicated to Akinori Yonezawa on the Occasion of His 65th Birthday G Agha, A Igarashi, N Kobayashi, H Masuhara… – 2014 – books.google.com Page 1. Gul Agha Atsushi Igarashi Naoki Kobayashi Hidehiko Masuhara Satoshi Matsuoka Etsuya Shibayama Kenjiro Taura (Eds.) Concurrent Objects and Beyond Papers dedicated to Akinori Yonezawa on the Occasion of His 65th Birthday 123 Page 2. … Related articles All 2 versions

[BOOK] Ultra Low Bit-Rate Speech Coding V Ramasubramanian, H Doddala – 2014 – Springer … Some of the topics covered in this series include the presentation of real life commercial deployment of spoken dialog systems, contemporary methods of speech parameterization, developments in informa- tion security for automated speech, forensic speaker recognition, use … Related articles All 5 versions

Concurrent Objects and Beyond GAA Igarashi, NKH Masuhara, SME Shibayama… – Springer Page 1. Gul Agha Atsushi Igarashi Naoki Kobayashi Hidehiko Masuhara Satoshi Matsuoka Etsuya Shibayama Kenjiro Taura (Eds.) Concurrent Objects and Beyond Festschrift LNCS 8665 Papers dedicated to Akinori Yonezawa on the Occasion of His 65th Birthday 123 Page 2. … Related articles