SVM (Support Vector Machine) & Dialog Systems 2013


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100 Best Support Vector Machine Videos | SVM (Support Vector Machine) & Dialog Systems 2011 | SVM (Support Vector Machine) & Dialog Systems 2012 | SVM (Support Vector Machine) & Dialog Systems 2014


Behavioral Signal Processing: Deriving Human Behavioral Informatics From Speech and Language: Computational techniques are presented to analyze and … S Narayanan, PG Georgiou – Proceedings of the IEEE. Institute of …, 2013 – ncbi.nlm.nih.gov … Keywords: Affective computing, behavior, computational psychology, computational social sciences, emotions, health applications, multimodal signal processing, natural language processing, speech understanding. I. Introduction. A. Human Behavior. … Cited by 24 Related articles All 6 versions

Knowledge acquisition through human–robot multimodal interaction G Randelli, TM Bonanni, L Iocchi, D Nardi – Intelligent Service Robotics, 2013 – Springer … through speech has been a long standing case study for natural language processing and spo- ken … a sophisticated low-level robot navigation with a symbolic high-level spoken dialogue system. … As a result of this comparison, support vector machines has been selected as best … Cited by 8 Related articles All 6 versions

A model for synthesizing a combined verbal and nonverbal behavior based on personality traits in human-robot interaction A Aly, A Tapus – Proceedings of the 8th ACM/IEEE international …, 2013 – dl.acm.org … Afterwards, the system was trained on the previously stated data corpora using the support vector machines (SVM) algorithm … [3] W. Wahlster and A. Kobsa, “User models in dialog systems.” Berlin,Germany … [4] I. Zukerman and D. Litman, “Natural language processing and user … Cited by 5 Related articles All 2 versions

Efficient algorithm for rational kernel evaluation in large lattice sets J Svec, P Ircing – … and Signal Processing (ICASSP), 2013 IEEE …, 2013 – ieeexplore.ieee.org … art machine learning techniques like Support Vector Machines even in the real-time application of speech and language processing, such as dialogue systems and speech … Index Terms— Finite-state machines, Kernels, Support Vector Machines, Natural language processing … Cited by 2 Related articles

Actor level emotion magnitude prediction in text and speech RA Calix, GM Knapp – Multimedia tools and applications, 2013 – Springer … Natural language processing . Machine learning . … [24], the authors propose a model for detecting the emotional state of a user that interacts with a dialog system. … Page 3. emotion classification with Support Vector Machines (SVM) using 5 emotion classes and a neutral class. … Cited by 4 Related articles All 8 versions

Paralinguistics in speech and language—state-of-the-art and the challenge B Schuller, S Steidl, A Batliner, F Burkhardt… – Computer Speech & …, 2013 – Elsevier … phrases and, eventually, to whole narratives. In written language—the genuine topic of Natural Language Processing—segmentation is trivially given by blanks, punctuation marks, and paragraphs. All this is often obfuscated … Cited by 59 Related articles All 6 versions

Easy contextual intent prediction and slot detection A Bhargava, A Celikyilmaz… – … , Speech and Signal …, 2013 – ieeexplore.ieee.org … data are internally collected from real-use scenarios of a spoken dialog system. … Altun, I. Tsochantaridis, and T. Hofmann, “Hidden Markov support vector machines,” in Proceedings … of the 2010 Conference on Empirical Methods in Natural Language Processing, Cambridge, MA … Cited by 2 Related articles All 4 versions

Question Classification Transfer. AL Ligozat – ACL (2), 2013 – aclweb.org … In question answering (QA), as in most Natural Language Processing domains, English is the best resourced … of stochastic under- standing and machine translation systems for lan- guage portability of dialogue systems. … Question classifica- tion using support vector machines. … Cited by 2 Related articles All 4 versions

Inferring speaker affect in spoken natural language communication HR Pon-Barry – 2013 – dash.harvard.edu … Potential applications include conversational dialogue systems (eg, in educational technology) and voice search (eg, smartphone personal assistants). … providing levity and adding the phrase “natural language processing” to your lexicon. I am … Cited by 3 Related articles All 4 versions

Semi-Supervised Learning and Domain Adaptation in Natural Language Processing A Søgaard – Synthesis Lectures on Human Language …, 2013 – morganclaypool.com … 2010 Spoken Dialogue Systems Kristiina Jokinen and Michael McTear 2009 Page 7. v Introduction to Chinese Natural Language Processing Kam-Fai Wong, Wenjie Li, Ruifeng Xu, and Zheng-sheng Zhang 2009 Introduction … Cited by 5 Related articles All 5 versions

Structured discriminative model for dialog state tracking S Lee – Submitted to SIGDIAL, 2013 – aclweb.org … discussed in detail in Section 2. On the other hand, natural language processing, computer vision … one can apply different loss functions, eg, hinge loss to obtain structured support vector machine. … be translated to the enhancement of the overall spoken dialog system, we need to … Cited by 7 Related articles All 6 versions

Joint Discriminative Decoding of Words and Semantic Tags for Spoken Language Understanding A Deoras, G Tur, R Sarikaya… – Audio, Speech, and …, 2013 – ieeexplore.ieee.org … Content may change prior to final publication. IEEE TRANSACTIONS ON AUDIO, SPEECH AND LANGUAGUE PROCESSING 3 large margin classifiers (eg, support vector machines – SVMs [13]) include work by Haffner et al. [14], … Cited by 3 Related articles All 8 versions

Affect and Social Processes in Online Communication-Experiments with an Affective Dialog System M Skowron, M Theunis, S Rank, A Kappas – 2013 – ieeexplore.ieee.org … and layers used in the affective dialog system, see Fig. 1. The different realizations of the system which are applied in the three rounds of experiments are de- veloped based on the same software framework and share the same set of natural language processing tools and … Cited by 4 Related articles All 8 versions

Predicate argument structure analysis using partially annotated corpora K Yoshino, S Mori, T Kawahara – … on Natural Language Processing (to …, 2013 – aclweb.org International Joint Conference on Natural Language Processing, pages 957–961, Nagoya, Japan, 14-18 October … mining systems (Wang and Zhang, 2009), and a spoken dialogue systems (Yoshino et … We used linear support vector machine (SVM) (Fan et al., 2008) with the one … Cited by 2 Related articles All 5 versions

Natural language processing: past, present and future DA Dahl – Mobile Speech and Advanced Natural Language …, 2013 – Springer … 4 Natural Language Processing: Past, Present and Future … For example, Naïve Bayes, vector-space classi fi ers, and support-vector machines are used in text classi fication … As these systems have been deployed in IVR systems and other spoken-dialog systems, a number of re fi … Cited by 1 Related articles All 3 versions

Predicting Tasks in Goal-Oriented Spoken Dialog Systems using Semantic Knowledge Bases A Pappu, AI Rudnicky – Proceedings of the SIGDIAL – aclweb.org … of Semantic Kernel from (Bloehdorn et al., 2006) and plugged it into a Support Vector Machine (SVM) classifier … 2012. Rapid development process of spoken dialogue systems using collaboratively con- structed semantic resources … 2009. Natural language processing with Python … Cited by 2 Related articles All 6 versions

Computational irony: A survey and new perspectives BC Wallace – Artificial Intelligence Review, 2013 – Springer … 2009; Burfoot and Baldwin 2009; Davidov et al. 2010; Tepperman et al. 2006) in the machine learning (ML) and natural language processing (NLP) communities. … Popular text classification algorithms include Naive Bayes (Lewis 1998) and Support Vector Machines (SVMs). … Cited by 3 Related articles

Gaze and turn-taking behavior in casual conversational interactions K Jokinen, H Furukawa, M Nishida… – ACM Transactions on …, 2013 – dl.acm.org … We used Support Vector Machines (SVMs) to classify turn taking events with respect to speech and gaze features, so as to … Categories and Subject Descriptors: I 2.7 [Artificial Intelligence]: Natural language processing—Speech recognition and synthesis General Terms: Design … Cited by 2 Related articles

Hierarchical speech-act classification for discourse analysis S Kang, Y Ko, J Seo – Pattern Recognition Letters, 2013 – Elsevier … structure and has faster running time because Support Vector Machine classifiers can efficiently be arranged on the two-layer hierarchical structure. Keywords. Natural language processing; Discourse analysis; Speech act classification; Hierarchical structure; Dialogue system. … Cited by 1 Related articles All 4 versions

Integration of Temporal Contextual Information for Robust Acoustic Recognition of Bird Species from Real-Field Data I Mporas, T Ganchev, O Kocsis, N Fakotakis… – … Journal of Intelligent …, 2013 – mecs-press.org … [12] S. Fagerlund, ?Bird Species Recognition Using Support Vector Machines,? EURASIP Journal … His research interests include speech and audio signal processing, pattern recognition, natural language processing, dialogue systems, human-computer interaction, artificial … Cited by 1 Related articles All 4 versions

Building and learning from a contextual knowledge base for a personalized physical therapy coach R Fisher, T Kollar, R Simmons – ICML Workshop on Robot Learning, …, 2013 – cs.cmu.edu … s which is learned with annotated training data using a structured support vector machine. … the 2012 Joint Conference on Empirical Methods in Natural Language Processing and Com … tion and segmentation of domain-specific dialogue acts for conversational dialogue systems. … Cited by 1 Related articles All 4 versions

Granularity analysis for mathematical proofs MRG Schiller – Topics in cognitive science, 2013 – Wiley Online Library … and to develop suitable techniques in automated reasoning, natural language processing for mathematics … machine-learning techniques (using decision tree learning and support vector machines), and automating … proof construction to aid the design of the Dialog system and the … Cited by 1 Related articles All 5 versions

Machine learning for interactive systems and robots: a brief introduction H Cuayáhuitl, M van Otterlo, N Dethlefs… – Proceedings of the 2nd …, 2013 – dl.acm.org … in adaptive interac- tive systems is the fact that the core concepts in perception, action and communication are typically studied by different communities: computer vision, robotics, natural language processing, human-computer … (eg, a spoken dialogue system or conversational … Cited by 2 Related articles All 3 versions

Speech-centric information processing: An optimization-oriented approach X He, L Deng – Proceedings of the IEEE, 2013 – ieeexplore.ieee.org … SLU is further provided to a subsequent dialog control subsystem, a part of a spoken dialog system (open loop … tive (finite state transducers, statistical MT, dynamic Bayesian networks) and discriminative [maximum entropy Markov models, support vector machines, conditional ran … Cited by 14 Related articles All 11 versions

Design of Dialog-Based Intelligent Tutoring Systems to Simulate Human-to-Human Tutoring S D’Mello, A Graesser – Where Humans Meet Machines, 2013 – Springer … The present chapter describes how dialog-based ITSs leverage recent advances in natural-language processing (NLP) to effectively simulate human … We move beyond the basic AutoTutor system to novel dialog systems that model and respond to emotions and disengagement … Cited by 1 Related articles All 3 versions

Speaker trait characterization in web videos: Uniting speech, language, and facial features F Weninger, C Wagner, M Wollmer… – … , Speech and Signal …, 2013 – ieeexplore.ieee.org … commercial voice portal systems and spo- ken language dialogue systems to provide … As classifiers, we use Support Vector Machines (SVMs) with linear kernel function … Gender Differences in Linguistic Styles,” in Applied Natural Language Processing: Identification, Investigation … Cited by 1 Related articles All 8 versions

Summarizing opinion-related Information for mobile devices G Di Fabbrizio, AJ Stent, R Gaizauskas – Mobile Speech and Advanced …, 2013 – Springer … Multi-class classi fi cation algorithms include traditional large margin classi fi ers such as binary one-vs-all maximum entropy(MaxEnt) classi fi ers (Berger et al. 1996) , support vector machines (SVMs) with different kernel fl avors (Haffner et al. … Cited by 1 Related articles All 3 versions

Heterogeneous networks and their applications: Scientometrics, name disambiguation, and topic modeling B King, R Jha, DR Radev – Transactions of the Association for …, 2013 – transacl.org … 4 Transformation-Based Error-Driven Learning and Natural Language Processing: a Case … concept clustering pattern SVMs for NLP support vector machines errors space … based attachment model models phrase prepositional disambiguation Dialogue systems dialogue spoken … Cited by 1 Related articles All 4 versions

Learning to control listening-oriented dialogue using partially observable Markov decision processes T Meguro, Y Minami, R Higashinaka… – ACM Transactions on …, 2013 – dl.acm.org … 1. INTRODUCTION Although task-oriented dialogue systems have been actively researched over the years [Hirshman 1989; Ferguson et al. 1996; Nakano et al. … Over the years, POMDPs have been actively studied for their application to spoken dialogue systems. … Cited by 2 Related articles

TechWare: Spoken Language Understanding Resources [Best of the Web] G Tur, YY Wang, D Hakkani-Tur – Signal Processing Magazine, …, 2013 – ieeexplore.ieee.org … SLU), an emerging field in between the areas of speech processing and natural language processing. … publication: 5 April 2013 [FIG1] A conceptual architecture of a spoken dialog system. … of the input space, large-margin classifi- ers like support vector machines [eg, SVMLight … Related articles All 12 versions

Optimizing Features for Dialogue Act Classification JD O’Shea, ZA Bandar… – Systems, Man, and …, 2013 – ieeexplore.ieee.org … frequency of occurrence and are usually removed in Natural Language Processing (NLP … 6th IJCAI Workshop Knowledge and Reasoning in Practical Dialogue Systems, Pasadena, CA … Dialog Act Classification from Prosodic Features Using Support Vector Machines,” in Speech … Related articles

Talking Robots. E Bastianelli – DWAI@ AI* IA, 2013 – ceur-ws.org … as a verb-argument structure, and are obtained after a natural language processing chain. … Dialogical interaction can be managed by a dialogue system that interacts with each … The ranking function is learned through a Support Vector Machine (SVM ) exploiting a combination of … Related articles All 3 versions

Optimizing Features for Dialogue Act Classification JD OShea, ZA Bandar… – Systems, Man, and …, 2013 – ieeexplore.ieee.org … frequency of occurrence and are usually removed in Natural Language Processing (NLP … 6th IJCAI Workshop Knowledge and Reasoning in Practical Dialogue Systems, Pasadena, CA … Dialog Act Classification from Prosodic Features Using Support Vector Machines,” in Speech … Related articles All 2 versions

Generating Cafeteria Conversations with a Hypernetwork Dialogue Model JH Oh, HS Chun, BT Zhang – bi.snu.ac.kr … This paper introduces a data-driven dialogue system that generates the cashier’s response to … The support vector machine combined with bag-of-words model is used to recognize … These days, in the field of machine learning and natural language processing, many researchers … Related articles All 2 versions

Insight into Information Extraction Method using Natural Language Processing Technique K Dhanasekaran, R Rajeswari – Insight, 2013 – ijcsma.com … recognition tasks: a medium vocabulary medical domain doctor-patient dialog system and a large … documents while the latter are big linguistic obstacles in natural language processing (NLP) and … in two popular classifiers (k-nearest neighbor and support vector machine) and in … Related articles All 3 versions

Towards a Truly Statistical Natural Language Generator for Spoken Dialogues O Dušek – mff.cuni.cz … Many generators, especially in Spoken Dialogue Systems, focus mainly on the content planning … NLG is one of the last areas in Natural Language Processing (NLP) to adopt … Using Support Vector Machines, it consecutively generates surface syntax trees from semantic trees … Related articles

Distinguished Lecturer Program AM Tanimoto – 2013 – apsipa.org … I pointed out there are two major approaches to dialogue systems: one is an AI (Artificial Intelligence) approach and the other is the … sensor detects user’s activities, loca- tions, and environment’s states based on a supervised learn- ing such as a support vector machine (SVM). … Related articles All 4 versions

Active Learning for Speech Emotion Recognition Using Conditional Random Fields Z Zhao, X Ma – … Distributed Computing (SNPD), 2013 14th ACIS …, 2013 – ieeexplore.ieee.org … to Improve Emotion Classification in Spoken Dialogue System,” Lecture Notes in … Pallavi Yesaware, “Speech Emotion Recognition Using Support Vector Machine”, International Journal … Joint Conference on Empirical Methods in Natural Language Processing and Computational … Related articles All 2 versions

An efficient technique for finding semantic similarity and their frequency between words S Yadav, D Sain – … and Conservation of Energy (ICGCE), 2013 …, 2013 – ieeexplore.ieee.org … similarity between words has been a part of natural language processing and information … sense elucidation , and speech understanding and spoken dialogue systems .several unsupervised … Now support vector machine algorithm is applied to get the semantic similarity of the …

Learning Dialogue Management Models for Task-Oriented Dialogue with Parallel Dialogue and Task Streams EY Ha, CM Mitchell, KE Boyer, JC Lester – sigdial.org … reinforcement learning typically requires a very large set of training da- ta, which limits the complexity of the dialogue system in its … Boyer et al., 2010), maximum entropy models (Bangalore et al., 2008; Sridhar et al., 2009; Ha et al., 2012), support vector machines (Ivanovic, 2008 … Related articles All 11 versions

Audio Features B Schuller – Intelligent Audio Analysis, 2013 – Springer … Taipei, Taiwan, June 2004; Joachims, T.: Text categorization with support vector machines: learning with many relevant … L., Neumann, H., Pieraccini, R., Weber, M. (eds.) Perception in Multimodal Dialogue Systems: 4th IEEE … In: Recent Advances in Natural Language Processing. … Related articles

Evaluation of sentiment polarity prediction using a dimensional and a categorical approach I Muresan, A Stan, M Giurgiu… – Speech Technology and …, 2013 – ieeexplore.ieee.org … 15] combines a chain of common tools in the natural language processing domain, with the … conditional independence doe classification results are more o Support Vector Machines based on … for Chinese Text-to-Speech Synthesis in a Spoken Dialog System”, IEEE Transactions … Related articles All 4 versions

LightSIDE E Mayfield, CP Rosé – Handbook of Automated Essay Evaluation …, 2013 – books.google.com … as sentiment analysis (Wiebe, Wilson, 86 Cardie, 2005), automated dialogue systems (DeVault, Sagae, 86 … and line length as features, and a linear support vector machine as the … and Language Varieties at the Conference on Empirical Methods in Natural Language Processing. … Related articles

Identification of discriminative features for biological event extraction through linguistically informed feature selection X Zhang, J Xia, J Webster, AC Fang – Journal of Food, Agriculture & …, 2013 – world-food.net … Proceedings of the Biomedical Natural Language Processing 2009 Workshop, Boulder, Colorado, pp. … LIBSVM: A library for support vector machines. … The authors would like to thank the Dialogue Systems Group at the Department of Chinese, Translation and Linguistics, City … All 4 versions

User-Personality Classification Based on the Non-Verbal Cues from Spoken Conversations S Kwon, J Yeon Choeh, JW Lee – International Journal of …, 2013 – Taylor & Francis … systems that re- quire user feature information such as robot dialog systems and automated … In this study, without a speech recognition and natural language processing unit, non-verbal cues … The Support Vector Machine (SVM), which recently has been widely utilized in the field … Related articles All 3 versions

Analysis of significant dialog events in realistic human–computer interaction D Prylipko, D Rösner, I Siegert, S Günther… – Journal on Multimodal …, 2013 – Springer … the briefing does not comprise any detailed information about the natural language processing and the … to investigate which metaphors users employ in interacting with a spoken dialog system. … on turn-level features and static classifiers like support vector machines or multilayer … Cited by 2 Related articles

Mining Social Networks’Arabic Slang Comments AR Hedar, MM Doss – fayoum.edu.eg … is proposed to classify Arabic slang comments, based on Support Vector Machine (SVM) for … Opinion Mining” in Proceedings of Recent Advances in Natural Language Processing, pages 740 … Stemming Approach using Machine Learning with Arabic Dialogue System” in ICGST … Related articles All 3 versions

The Role of Affect Analysis in Dialogue Act Identification N Novielli, C Strapparava – 2013 – ieeexplore.ieee.org … a large number of applications that could benefit from automatic DA annotation, such as dialogue systems, blog analysis … In particular, we used the Support Vector Machine (SVM) [49], which is regarded as a state-of-the … [54], who deal with natural language processing tasks ‘from … Related articles All 5 versions

Comparison of Methods for Topic Classification of Spoken Inquiries R Torres, H Kawanami, T Matsui, H Saruwatari… – Information and Media …, 2013 – jlc.jst.go.jp … In this work, we selected three different types of classifica- tion methods, (1) a support vector machine (SVM) with a radial basis function (RBF) kernel, (2) PrefixSpan boosting (pboost) and (3) the maximum entropy (ME … ME has been widely used in natural language processing … Related articles All 6 versions

Fusion of Smile, Valence and NGram features for automatic affect detection O Serban, G Castellano, A Pauchet… – … ACII), 2013 Humaine …, 2013 – ieeexplore.ieee.org … dealing with spoken language and more particularly in affective dialogue systems, the transcribed … chosen is a commonly used super- vised method, the Support Vector Machine (SVM … Bottou, M. Karlen, K. Kavukcuoglu, and P. Kuksa, “Natural language processing (almost) from … Related articles All 4 versions

A Multimodal Emotion Detection System during Human–Robot Interaction F Alonso-Martín, M Malfaz, J Sequeira, JF Gorostiza… – Sensors, 2013 – mdpi.com … an emotional analysis of the information transmitted verbally, using natural language processing techniques, as … the implementation of new interaction dialogs: Since the dialog system uses the … classification of each possible AU, it uses a Support Vector Machine (SVM) algorithm … Cited by 1 Related articles All 7 versions

Using unlabeled data to improve classification of emotional states in human computer interaction M Schels, M Kächele, M Glodek, D Hrabal… – Journal on Multimodal …, 2013 – Springer … The most common transductive learning approach is the transductive support vector machine [18], that finds a … Another example for a real world interaction with a dialog system is the “last … It is inspired by the common bag-of-words approach of the natural language processing. … Cited by 2 Related articles

Development & evaluation of multilingual multimodal dialogue systems on mobile devices N Tsourakis – 2013 – archive-ouverte.unige.ch Thesis Reference Development & evaluation of multilingual multimodal dialogue systems on mobile devices TSOURAKIS, Nikolaos … TSOURAKIS, Nikolaos. Development & evaluation of multilingual multimodal dialogue systems on mobile devices. Thèse de doctorat : Univ. … Related articles

The Linguistics of Sentiment Analysis L Hart – 2013 – pdxscholar.library.pdx.edu … For the sake of space, this paper will deal only with Natural Language Processing and Sentiment … These include algorithms, machine learning, natural language processing, linguistic features, and methods for measuring the success of a sentiment analysis system. … Related articles

Processing temporal information in unstructured documents FNQMC Costa – 2013 – repositorio.ul.pt … of approach. Keywords: Natural Language Processing, Information Extraction, Tem- poral Information Processing, Machine Learning, Rule-Based Methods Page 6. Page 7. Resumo … 80 4.3 Natural Language Processing Tools Used . . . . . 85 … Cited by 4 Related articles All 4 versions

2013 Index IEEE Transactions on Audio, Speech, and Language Processing Vol. 21 TD Abhayapala, C Agon, A Ahlen, S Ahmed, MT Akhtar… – ieeexplore.ieee.org … M., Kim, K., Ryu, S., and Lee, GG, Unsupervised Spoken Language Understanding for a Multi-Domain Dialog System; TASL Nov. … Lee, H., and Lee, L., Enhanced Spoken Term Detection Using Support Vector Machines and Weighted Pseudo Examples; TASL June 2013 1272 …

Sentence-Based Sentiment Analysis for Expressive Text-to-Speech T Trilla, F Alías – Audio, Speech, and Language Processing, …, 2013 – ieeexplore.ieee.org … negative) has traditionally been referred to as Sentiment Analysis (SA) by the Natural Language Processing (NLP) research community, see [18] for a … MLR has been used for SA in TTS and TC environments [15], [18], [24] 5) Support Vector Machine (SVM): maximum-margin dis … Cited by 3 Related articles All 3 versions

A task-performance evaluation of referring expressions in situated collaborative task dialogues P Spanger, R Iida, T Tokunaga, A Terai… – Language resources and …, 2013 – Springer … In order to replicate human usage of demonstrative pronouns in the corpus, we employed a machine-learning approach utilising extra-linguistic as well as linguistic information, which is represented as features in a Support Vector Machine (SVM) (Vapnik 1998). … Cited by 1 Related articles All 5 versions

An Introduction to Audio and Visual Research and Applications in Marketing L Xiao, H Kim, M Ding – Review of Marketing Research, 2013 – emeraldinsight.com … becomes sparse. Also, kNN is sensitive to outliers. Support vector machines (SVMs) are a natural extension of LDCs, with the goal of finding the widest gap that divides the data points into different classes. SVMs provide good … Related articles All 3 versions

Using Social Agents to Explore Theories of Rapport and Emotional Resonance J Gratch, SH Kang, N Wang – Social Emotions in Nature and …, 2013 – books.google.com … By focusing on quasi monologs, rather than richer two-way conver- sational forms, we sidestep the current limitations in automatic natural language processing technology: the system produces what seems to be meaningful feedback without having to deeply process the mean … Cited by 2 Related articles

Expert Recommendations Based On Opinion Mining Of User-Generated Product Reviews A Stavrianou, C Brun – Computational Intelligence, 2013 – Wiley Online Library … expectations. We propose to use fine-grained information such as opinions and suggestions extracted using natural language processing techniques from user reviews about products, to improve a recommendation system. … Related articles

Learning dependency-based compositional semantics P Liang, MI Jordan, D Klein – Computational Linguistics, 2013 – MIT Press … One of the major challenges in natural language processing (NLP) is building systems that both handle complex linguistic phenomena and require minimal human effort. The difficulty of achieving both criteria is particularly evident … Cited by 118 Related articles All 23 versions

[BOOK] Man-machine Dialogue: Design and Challenges F Landragin – 2013 – books.google.com … is to explain the main issues created by each stage of the design of a man—machine dialogue system, and to … reference, Shirley Carter-Thomas and Sophie Prévost for the information structure, Thierry Poibeau and Isabelle Tellier for natural language processing, my successive … Related articles All 4 versions

Speech Recognition Technology: A Survey on Indian Languages G Hemakumar, P Punitha – ijisis.org Page 1. International Journal of Information Science and Intelligent System, Vol. 2, No.4, 2013 Speech Recognition Technology: A Survey on Indian Languages Hemakumar G. 1, ? , Punitha P. 2 1Department of Computer Science … Related articles All 2 versions

Detection and integration of affective feedback into distributed interactive systems O ?erban – 2013 – hal.inria.fr … Self Organizing Maps – SOM), un clasificator de valen?? bazat pe caracteristici multi-modale antrenate cu o Ma?ina de Vectori Suport (Support Vector Machines – SVM) ?i … 124 5.5.3 Natural Language Processing and Dialogue Models/Components 127 5.5.4 Affective Feedback . … Related articles All 8 versions

Machine learning paradigms for speech recognition: An overview L Deng, X Li – IEEE Transactions on Audio, Speech & Language …, 2013 – 131.107.65.14 … This success was firmly established by the ASR community, and has been widely spread to the ML and related communi- ties; in fact, HMM has become a standard tool not only in ASR but also in ML and their related fields such as bioinformatics and natural language processing … Cited by 23 Related articles All 8 versions

Semantic relations between nominals V Nastase, P Nakov, DÓ Séaghdha… – Synthesis Lectures on …, 2013 – morganclaypool.com … Semantic Role Labeling Martha Palmer, Daniel Gildea, and Nianwen Xue 2010 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 … Cited by 4 Related articles All 3 versions

Multilingual joint parsing of syntactic and semantic dependencies with a latent variable model J Henderson, P Merlo, I Titov, G Musillo – Computational Linguistics, 2013 – MIT Press … 2011), dialogue systems (Basili et al. … Multi-task learning methods have been shown to be beneficial in many domains, including natural language processing (Ando and Zhang 2005a, 2005b; Argyriou, Evgeniou, and Pontil 2006; Collobert and Weston 2008). … Cited by 2 Related articles All 5 versions

Knowledge Based Perceptual Anchoring: Grounding percepts to concepts in cognitive robots M Daoutis – Künstliche Intelligenz, 2013 – aass.oru.se Page 1. Doctoral Dissertation Knowledge Based Perceptual Anchoring: Grounding percepts to concepts in cognitive robots Marios Daoutis Computer Science Örebro Studies in Technology 55 Örebro 2013 Page 2. Page 3. Knowledge Based Perceptual Anchoring: Grounding … Cited by 5 Related articles All 7 versions

Behavioral Signal Processing: Deriving Human Behavioral Informatics From Speech and Language S Narayanan, PG Georgiou – Proceedings of the IEEE, 2013 – ieeexplore.ieee.org … behavior; computational psychology; computational social sciences; emotions; health applications; multimodal signal processing; natural language processing; speech understanding … and engagement from behavioral cues can be used within a spoken dialog system such as for … Related articles

Rapid Development of Language Resources M Grác – 2013 – is.muni.cz … natural language. First attempts in the 1950s [27] were heavily limited by existing resources and performance of first computers but they established a new scientific sub-field Natural Language Processing (NLP). NLP developed … Cited by 3 Related articles

On Applying Controlled Natural Languages for Ontology Authoring and Semantic Annotation BP Davis – 2013 – vmserver14.nuigalway.ie … annotation tools attempt to ease this knowledge acquisition barrier, their development often requires access to specialists in Natural Language Processing (NLP). This chal- … Dr Paul Buitelaar for being an veritable treasure chest of natural language processing experience. … Related articles All 2 versions

An Information-Extraction Approach to Speech Processing: Analysis, Detection, Verification, and Recognition CH Lee, SM Siniscalchi – Proceedings of the IEEE, 2013 – ieeexplore.ieee.org … was the development of a statistical machine translation (MT) framework originated by a group of ASR researchers at IBM [9], which also spun off many recent MT research and application activities and other similar statistical natural language processing (NLP) efforts (eg, [10 … Related articles All 2 versions

Collective artificial intelligence: simulated role-playing from crowdsourced data JD Orkin – 2013 – dspace.mit.edu Page 1. Collective Artificial Intelligence: Simulated Role-Playing from Crowdsourced Data by Jeffrey David Orkin BS, Tufts University (1995) MS, University of Washington (2003) MS, Massachusetts Institute of Technology (2007) … Cited by 1 Related articles All 7 versions

Web Corpus Construction R Schäfer, F Bildhauer – Synthesis Lectures on Human …, 2013 – morganclaypool.com … 2010 Spoken Dialogue Systems Kristiina Jokinen and Michael McTear 2009 Page 7. v Introduction to Chinese Natural Language Processing Kam-Fai Wong, Wenjie Li, Ruifeng Xu, and Zheng-sheng Zhang 2009 Introduction … Cited by 11 Related articles All 6 versions

Machine Learning Paradigms for Speech Recognition: An Overview L Deng, X Li – Audio, Speech, and Language Processing, IEEE …, 2013 – ieeexplore.ieee.org … AUDIO, SPEECH, AND LANGUAGE PROCESSING, VOL. X, NO. X, MONTH, 2013 8 as bioinformatics and natural language processing. For many ML as well as ASR researchers, the success of HMM in ASR is a bit surprising due to the well-known weaknesses of the HMM. … Related articles

Confidence Estimation for Automatic Speech Recognition Hypotheses MS SEIGEL – mi.eng.cam.ac.uk … Tis is important for downstream applications (eg dialogue systems, keyterm detection) which make decisions based on these scores, as well as in-system applications (eg data selection and adaptation). Page 4. Page 5. Declaration … Related articles

Active Sensing for Partially Observable Markov Decision Processes V Koltunova – 2013 – uwspace.uwaterloo.ca … SP: Symbolic Perseus SVM: Support Vector Machines Page 9. … POMDPs have also been lately successfully applied to the field of the natural language processing. … Spoken dialogue systems have used probabilistic reasoning as a base for more than the past decade. In Page 17. … Related articles All 3 versions