Latent Semantic & Dialog Systems 2013


See also:

Latent Semantic & Dialog Systems 2011Latent Semantic & Dialog Systems 2012 | Latent Semantic & Dialog Systems 2014LSA (Latent Semantic Analysis) & Dialog SystemsLSI (Latent Semantic Indexing) & Dialog SystemsLSM (Latent Semantic Mapping)PLSA (Probabilistic Latent Semantic Analysis) & Dialog Systems

Recent advances in deep learning for speech research at Microsoft L Deng, J Li, JT Huang, K Yao, D Yu… – … , Speech and Signal …, 2013 – … This approach has been proposed in dialog systems with a feed-forward net [57] and more recently for recurrent nets [47][37]. … By providing a side-channel consisting of a slowly changing Latent Semantic Analysis (LSA) representation of the preceding text in the Penn Treebank … Cited by 24 Related articles All 7 versions

SemEval-2013 task 7: The joint student response analysis and 8th recognizing textual entailment challenge MO Dzikovska, RD Nielsen, C Brew, C Leacock… – 2013 – DTIC Document … of two distinct subsets: BEETLE data, based on transcripts of students in- teracting with BEETLE II tutorial dialogue system (Dzikovska et al … Research on tutorial dialog has empha- sized generic methods that use latent semantic anal- ysis or other machine learning methods to … Cited by 17 Related articles All 10 versions

Recommendations for the generalized intelligent framework for tutoring based on the development of the deeptutor tutoring service V Rus, N Niraula, M Lintean, R Banjade… – AIED 2013 Workshops …, 2013 – … service and XML-based protocols for data and commands/queries fits very well with recent standards for rep- resenting knowledge proposed by the Semantic Web community, standards for au- thoring behavior of dialogue systems (see the … Handbook of Latent Semantic Analysis … Cited by 4 Related articles All 3 versions

On the dynamic adaptation of language models based on dialogue information JM Lucas-Cuesta, J Ferreiros, JD Echeverry… – Expert Systems with …, 2013 – Elsevier … Spoken dialogue system; Speech recognition; Language models; Dynamic adaptation; Semantic clustering; Dialogue-based information. … In this sense, the work presented in Bellegarda, 2000 and Bellegarda et al., 1996 proposes the use of Latent Semantic Analysis (LSA … Cited by 5 Related articles All 9 versions

Predicting Tasks in Goal-Oriented Spoken Dialog Systems using Semantic Knowledge Bases A Pappu, AI Rudnicky – Proceedings of the SIGDIAL – … c 2013 Association for Computational Linguistics Predicting Tasks in Goal-Oriented Spoken Dialog Systems using Semantic Knowledge Bases … units meters Figure 1: Illustration of Semantic Parse Tree used in a Dialog System 243 Page 3. 2.1 Grammar: A Knowledge Resource … Cited by 3 Related articles All 6 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 … We move beyond the basic AutoTutor system to novel dialog systems that model and respond to emotions and … AutoTutor incorporates several semantic evaluation algorithms when performing these matches, but most notably Latent Semantic Analysis (LSA) (Landauer et al. … Cited by 1 Related articles All 3 versions

Public Dialogue: Analysis of Tolerance in Online Discussions. A Mukherjee, V Venkataraman, B Liu, S Meraz – ACL (1), 2013 – Page 1. Proceedings of the 51st Annual Meeting of the Association for Computational Linguistics, pages 1680–1690, Sofia, Bulgaria, August 4-9 2013. c 2013 Association for Computational Linguistics Public Dialogue: Analysis of Tolerance in Online Discussions … Cited by 4 Related articles All 7 versions

A topic recognition system for real world human-robot conversations SM Anzalone, Y Yoshikawa, H Ishiguro… – … Autonomous Systems 12, 2013 – Springer … system itself, that should be able to cover a wide spread of possible conversation paths. Some systems tried to use ontologies to retrieve a com- plete understanding of the conversation [11]. Other social robot systems tried to use customized algorithms, such as Latent Semantic … Cited by 2 Related articles All 5 versions

Unsupervised Classification of Student Dialogue Acts With Query-likelihood Clustering A Ezen-Can, KE Boyer – International Conference on …, 2013 – … Tutorial dialogue, dialogue act modeling, unsupervised machine learning 1. INTRODUCTION Tutorial dialogue systems are highly effective at supporting student … has been the focus of great attention, addressed by a variety of techniques including latent semantic analysis [15 … Cited by 3 Related articles All 3 versions

Kernel-based discriminative re-ranking for spoken command understanding in hri R Basili, E Bastianelli, G Castellucci, D Nardi… – AI* IA 2013: Advances in …, 2013 – Springer … As for the machine learning techniques, we applied Tree Kernel methods, Lexical similarity (through Latent Semantic Analysis) and combinations … of speech recognition and language understanding through a perceptron classifier is de- fined in a conversational dialogue system. … Cited by 2 Related articles All 2 versions

Self-talk Discrimination in Human–Robot Interaction Situations for Supporting Social Awareness J Le Maitre, M Chetouani – International Journal of Social Robotics, 2013 – Springer … talk as an indicator of social activity is motivated because producing self-talk would confuse robots, which are generally based on spoken dialog systems [42, 57]. … off-view), prosodic and rhythmic features and dialog acts studied using the Latent Semantic Analysis (LSA) method. … Cited by 1 Related articles All 7 versions

Heterogeneous networks and their applications: Scientometrics, name disambiguation, and topic modeling B King, R Jha, DR Radev – Transactions of the Association for …, 2013 – … to solve the same problem as statistical topic models such as proba- bilistic latent semantic analysis (pLSA … parsing detecting MaxEnt models entropy maximum approach based attachment model models phrase prepositional disambiguation Dialogue systems dialogue spoken … Cited by 1 Related articles All 4 versions

Concept Discovery and Automatic Semantic Annotation for Language Understanding in an Information-Query Dialogue System Using Latent Dirichlet Allocation and … N Camelin, B Detienne, S Huet, D Quadri… – Knowledge Discovery, …, 2013 – Springer … To give a full description of the architecture of a dialogue system is out of the scope of this paper. … The framework is comparable to that of probabilistic latent semantic analysis, but the topic multinomial distribution in LDA is assumed to be sampled from a Dirichlet prior and is not … Related articles All 2 versions

Unsupervised structured semantic inference for spoken dialog reservation tasks A Lorenzo, LM Rojas-Barahona, C Cerisara – SIGDIAL, 2013 – … Abstract This work proposes a generative model to infer latent semantic structures on top of manual speech transcriptions in a spo- ken dialog reservation task. … But still, despite its importance, most spoken dialog systems do not make use of such structure. … All 8 versions

Affective-cognitive dialogue act detection in an error-aware spoken dialogue system WB Liang, CH Wu, MH Sheng – Signal and Information …, 2013 – … 490–495. [24] ——, “Statistical dialog management applied to wfst-based dialog systems,” in Proc. … 2, pp. 1–27, 2011. [29] J. Bellegarda, “Exploiting latent semantic information in statistical language modeling,” Proceedings of the IEEE, vol. 88, no. 8, pp. 1279– 1296, Aug 2000. … Related articles All 2 versions

Latent semantic modeling for slot filling in conversational understanding G Tur, A Celikyilmaz… – Acoustics, Speech and …, 2013 – … The experimental results show significant performance gains on seman- tic slot filling models when features from latent semantic models are … More specifically, targeted SLU models in hu- man/machine spoken dialog systems aim to automatically identify several components: (i … Cited by 1 Related articles All 5 versions

Unsupervised Spoken Language Understanding for a Multi-domain Dialog System D Lee, M Jeong, K Kim, S Ryu, G Lee – 2013 – … Content may change prior to final publication. 1 / 38 Unsupervised Spoken Language Understanding for a Multi-domain Dialog System* … Abstract: This paper proposes an unsupervised spoken language understanding (SLU) framework for a multi-domain dialog system. … Cited by 2 Related articles All 2 versions

Towards the Use of Dialog Systems to Facilitate Inclusive Education D Griol, Z Callejas, JM Molina, A Sanchis – 2013 – … 6 Towards the Use of Dialog Systems to Facilitate Inclusive Education scripts and latent semantic analysis. … ITSPOKE is a tutoring spoken dialog system which engages the students in a spoken dialog to provide feedback and correct misconceptions (Litman and Silliman, 2004). … All 3 versions

Interactive spoken content retrieval by extended query model and continuous state space Markov Decision Process TH Wen, H Lee, P Su, LS Lee – Acoustics, Speech and Signal …, 2013 – … [8] Yi-cheng Pan and Lin-shan Lee, “Type-II dialogue systems for information access from unstructured knowledge sources,” ASRU, 2007. … [22] Thomas Hofmann, “Probabilistic latent semantic indexing,” in ACM SIGIR, 1999. … Related articles

Natural Language Technology in Mobile Devices: Two Grounding Frameworks JR Bellegarda – Mobile Speech and Advanced Natural Language …, 2013 – Springer … 2011) Bellegarda JR (2005) Latent semantic mapping. … Psychol Gen 135(2):184–206 Gasic M, Keizer S, Mairesse F, Schatzmann J, Thomson B, Young S (2008) Training and evalua- tion of the HIS POMDP dialogue system in noise … Related articles All 3 versions

Optimizing Features for Dialogue Act Classification JD OShea, ZA Bandar… – Systems, Man, and …, 2013 – … This coarse-grained approach can be useful in practical dialogue systems [15], particularly in fields such as robotics [16]. … Some approaches, such as Feature Latent Semantic Analysis [27], explicitly remove stop words before making the classification. … Related articles All 2 versions

Fuzzy Matching of Semantic Class in Chinese Spoken Language Understanding LI Yanling, Z Qingwei… – IEICE TRANSACTIONS on …, 2013 – … 11] G. Zweig, P. Nguyen, Y.-C. Ju, Y.-Y. Wang, D. Yu, and A. Acero, “The voice rate dialog system for consumer ratings,” Proc. … 27] K. Richard, K. Angelo, and T. Mayya, “Automated assessment of short free-text responses in computer science using latent semantic analysis,” Proc. … Related articles All 4 versions

In-Context Evaluation of Unsupervised Dialogue Act Models for Tutorial Dialogue A Ezen-Can, KE Boyer – … This paper focuses on dialogue act classification for student utterances, since in a tutorial dialogue system the tutor dialogue acts are system-generated. … Serafin, R., & Di Eugenio, B. (2004). FLSA : Extending Latent Semantic Analysis with features for dialogue act classification. … Cited by 1 Related articles All 7 versions

Semi-Supervised Semantic Tagging of Conversational Understanding using Markov Topic Regression. A Celikyilmaz, DZ Hakkani-Tür, G Tür, R Sarikaya – ACL (1), 2013 – … Thus, each latent semantic class corresponds to one of the seman- tic tags found in labeled data. … 1For each beta distribution we use symmetric Beta(?v)=Beta(?=?v,?=?v). 916 Page 4. latent semantic tag distribution over semantic tags s1 … w1 … !j ” c2 c3 # $kv %kv xv &k s2 s3 … Related articles All 8 versions

Form-based Dialogue Structure for Task-oriented Conversations A Chotimongkol, AI Rudnicky – simulation – … [8] Raux, A., Langner, B., Black, A. and Eskenazi, M., “LET’S GO: Improving Spoken Dialogue Systems for the Elderly and Non-natives”, Proc. … [11] Gorman, JC, Foltz, PW, Kiekel, PA, Martin, MJ, Cooke, NJ, “Evaluation of Latent Semantic Analysis- based measures of team … Related articles All 4 versions

Exploiting collaborative filtering techniques for automatic assessment of student free-text responses T Ge, Z Sui, B Chang – Proceedings of the 22nd ACM international …, 2013 – … In this paper, we used the Beetle dataset [6] for training and eval- uation, which is a set of transcripts of students interacting with an intelligent tutorial dialogue system for teaching conceptual knowl … For the factor matrice P and Q, the dimension fi is a latent semantic dimension. … Related articles

Interaction style detection based on Fused Cross-Correlation Model in spoken conversation WL Wei, CH Wu, JC Lin, H Li – Acoustics, Speech and Signal …, 2013 – … Based on these analyses, detecting a person’s IS provides a new research direction for creating a harmonious spoken dialogue system. … In terms of linguistic modeling, the Latent Semantic Analysis (LSA) was applied to extract 8497 Page 4. Fig. … Related articles

Data-Driven Analysis Of Emotion In Text Using Latent Affective Folding And Embedding JR Bellegarda – Computational Intelligence, 2013 – Wiley Online Library … Though data-driven in nature, emotion analysis based on latent semantic analysis still relies on some measure of expert knowledge to isolate the emotional keywords or keysets necessary to the construction of affective categories. … Cited by 1 Related articles All 2 versions

Evaluation of sentiment polarity prediction using a dimensional and a categorical approach I Muresan, A Stan, M Giurgiu… – Speech Technology and …, 2013 – … Affect, Vector Space Models, and three dimensionality reduction techniques: Latent Semantic Analysis (LSA), Probabilistic Latent Semantic Analysis (PLSA) and Non … of Input Text Semantics 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 – … ofthis balance for years in fields such as sentiment analysis (Wiebe, Wilson, 86 Cardie, 2005), automated dialogue systems (DeVault, Sagae, 86 … has proven to be surprisingly robust and is the basis of more complex, specialized methods such as latent semantic analysis (Foltz … Related articles

Towards Deeper Understanding of Syntactic Concepts in Programming S Gross, S Strickroth, N Pinkwart, NT Le – The First Workshop on AI- …, 2013 – … answers can be anticipated and authored in the dialogue system. This approach is commonly used in several tutoring systems, eg, the dialogue-based EER-Tutor [20], PROPL [11], AUTOTUTOR [4]. In addition to the form-filling approach, the Latent Semantic Analysis technique … Related articles All 4 versions

Fusion of Smile, Valence and NGram features for automatic affect detection O Serban, G Castellano, A Pauchet… – … ACII), 2013 Humaine …, 2013 – … In interactive systems dealing with spoken language and more particularly in affective dialogue systems, the transcribed part of the oral interaction is not … 2007, task 14 [5] presented a corpus and some methods to evaluate it, most of them based on Latent Semantic Analyser (LSA … Related articles All 4 versions

Natural Language Processing and Chinese Computing GZJ Li, DZY Feng – Springer … 72 Xiaoqing Lu, Yingmin Tang, Zhi Tang, Yujun Gao, and Jianguo Zhang Simulated Spoken Dialogue System Based on IOHMM with User History … Yu, Huanyun Zong, Jianyi Guo, and Lei Su A Comprehensive Method for Text Summarization Based on Latent Semantic Analysis …

A Review of Student Models Used in Intelligent Tutoring Systems PI Pavlik Jr, K Brawner, A Olney… – … for Intelligent Tutoring …, 2013 – Page 62. Design Recommendations for Intelligent Tutoring Systems-Volume 1: Learner Modeling 39 CHAPTER 5?A Review of Student Models Used in Intelligent Tutoring Systems Philip I. Pavlik Jr. 1, Keith Brawner2, Andrew … Cited by 1 Related articles All 7 versions

Coherence and Cohesion for the Assessment of Text Readability A Todirascu, T François, N Gala, C Fairon… – Natural Language …, 2013 – … Another approach of coherence in readability is based on the latent semantic analysis (LSA) developed by Landauer et al.(1998 … most of them focus on specific anaphora type (Lassalle and Denis, 2011) or specific domains or tasks (human-machine dialogue systems (Salmon-Alt … Cited by 1 Related articles All 5 versions

The Role of Affect Analysis in Dialogue Act Identification N Novielli, C Strapparava – 2013 – … Index Terms—Affective Lexicon, Dialogue Acts Recognition, Empirical Methods, Latent Semantic Analysis, Lexical Semantics. ? … the interlocutor) and there is a large number of applications that could benefit from automatic DA annotation, such as dialogue systems, blog analysis … Related articles All 5 versions

Cp8004 Parallel Algorithms LTPC Bit Computations – … , CHENNAI 600 025 REGULATIONS-2013 ME … – … Flat Clustering–Hierarchical Clustering–Matrix decompositions and latent semantic indexing–Fusion and Meta learning UNIT V SEARCHING THE WEB 8 Searching the Web–Structure of the Web–IR and web search–Static and Dynamic Ranking-Web Crawling and … Related articles All 2 versions

New measures to investigate term typology by distributional data J Karlgren – Proceedings of the 19th Nordic Conference of …, 2013 – … Any language model, whether it addresses hands-on tasks in information access application, machine translation, dialogue systems or other application area for human alnguage processing or if it built to elucidate … Random indexing of text samples for latent semantic analysis. … Cited by 4 Related articles All 4 versions

Learning Dialogue Management Models for Task-Oriented Dialogue with Parallel Dialogue and Task Streams EY Ha, CM Mitchell, KE Boyer, JC Lester – … learning typically requires a very large set of training da- ta, which limits the complexity of the dialogue system in its … vector machines (Ivanovic, 2008), conditional random fields (Kim et al., 2010), and memory-based classifiers in combination with latent semantic analysis (Di … Related articles All 11 versions

Putting the “Advanced” Into Advanced Distributed Learning SF Chipman – Web-Based Learning: Theory, Research, and …, 2013 – … Although some other agencies have supported work on ar- ti?cial dialog systems, the focus on the special characteristics … exploring combinations of symbolic language processing approaches with more statistical semantic approaches using Latent Semantic Analysis (Landauer … Related articles

Insight into Information Extraction Method using Natural Language Processing Technique K Dhanasekaran, R Rajeswari – Insight, 2013 – … They present results on language model adaptation using two speech recognition tasks: a medium vocabulary medical domain doctor-patient dialog system and a large vocabulary transcription system for European Parliamentary Plenary Speeches (EPPS). … Related articles All 3 versions

Speech emotion recognition approaches in human computer interaction S Ramakrishnan, IMM El Emary – Telecommunication Systems, 2013 – Springer … A number of approaches exist for this analysis: keyword spotting, rule-based modeling, semantic trees, latent semantic analysis, transformation-based learn- ing, world-knowledge-modeling, key-phrase spotting, and Bayesian networks. … 5.5 Prosody in dialog system … Cited by 7 Related articles All 6 versions

An Architecture to Develop Multimodal Educative Applications with Chatbots D Griol, Z Callejas – Int J Adv Robotic Sy, 2013 – … However, perhaps the most popular application of dialogue systems in education is tutoring systems. Kumar et al. … The technology behind the system includes the use of a dialogue manager, curriculum scripts and latent semantic 2 Int J Adv Robotic Sy, 2013, Vol. 10, 175:2013 … Cited by 3 Related articles All 3 versions

Abdullah: An Intelligent Arabic Conversational Tutoring System for Modern Islamic Education OG Alobaidi, KA Crockett, JD O’Shea… – Proceedings of the World …, 2013 – … [19] Marilyn, AW, Diane, JL, Candace, AK and Alicia, A. (1997). Interactive Spoken Dialog Systems on Bringing Speech and NLP Together in Real Applications, Madrid, Spain: Association for Computational Linguistics. … Introduction to Latent Semantic Analysis. … Related articles

Information Retrieval and User-Centric Recommender System Evaluation. A Said, A Bellogín, AP de Vries, B Kille, JA Gulla… – UMAP …, 2013 – … Topic-based Multi-Document Summarization with Probabilistic Latent Semantic Analysis Leonhard Hennig In: Proceedings of the International … Analysis of a New Simulation Approach to Dialog System Evaluation Klaus-Peter Engelbrecht, Michael Quade, Sebastian Möller In … Related articles All 6 versions

Learning Dialogue POMDP Model Components from Expert Dialogues HR Chinaei – 2013 – … To tackle this difficult task, the partially observable Markov decision process (POMDP) framework has been applied in dialogue systems as a formal framework to represent … 16 2.3 (a): Unigram model (b): Mixture of unigrams (c): Probabilistic latent semantic analysis (PLSA). . . . … Related articles All 2 versions

Detection and integration of affective feedback into distributed interactive systems O ?erban – 2013 – … very versatile for fuzzy classification. This method works only with textual data and it uses also an Latent Semantic Analyser (LSA) feature extraction algorithm with large dictionaries as support vectors. The issue is approached … Related articles All 8 versions

Scope of ontological annotation in e-commerce S Asharaf, MS Abdulla – International Journal of Business Information …, 2013 – Inderscience … A natural-language-based dialogue system for physical shopping environments, such that the brick-and-mortar shopping … Evangelopoulos, N., Zhang, X. and Prybotuk, VR (2012) ‘Latent semantic analysis: five methodological recommendations’, European Journal of Information … Related articles All 2 versions

Crowdsourcing a word–emotion association lexicon SM Mohammad, PD Turney – Computational Intelligence, 2013 – Wiley Online Library … 4. 4 Creating dialogue systems that respond appropriately to different emotional states of the user; for example, in emotion … Recent work by Bellegarda (2010) uses sophisticated dimension reduction techniques (variations of latent semantic analysis), to automatically identify … Cited by 52 Related articles All 10 versions

AIML Knowledge Base Construction from Text Corpora G De Gasperis, I Chiari, N Florio – Artificial Intelligence, Evolutionary …, 2013 – Springer … Chatbots (or chatter-bots, conversational agents, dialogue systems) are ap- plications that simulate human conversation through a textual interaction … The knowledge base of this chatbot is created with the mechanism of Latent Semantic Analysis (LSA) by which a corpus of … Related articles All 6 versions

Sentence-Based Sentiment Analysis for Expressive Text-to-Speech T Trilla, F Alías – Audio, Speech, and Language Processing, …, 2013 – … 3) Latent Semantic Analysis (LSA): similar to the VSM, but builds a latent semantic space by computing the Singular Value Decomposition (SVD) of the term-class matrix obtained from the VSM (ie, constructing a low-rank approximation with its principal eigenvectors) [35]. … Cited by 3 Related articles All 3 versions

Diagnostic and accessibility based user modelling SP Carmien, AM Cantera – User Modeling and Adaptation for Daily …, 2013 – Springer … To this end, there has been recent interest in extracting activity structure simply by computing their local event-statistics (see eg [ 41 ], using Vector Space Model [ 37 , 54 ]; using Latent Semantic Analysis [ 7 ], and [ 13 ]; using n-grams [ 29 ] respectively), but there the concept of … Cited by 3 Related articles All 3 versions

A new benchmark dataset with production methodology for short text semantic similarity algorithms J O’shea, Z Bandar, K Crockett – ACM Transactions on Speech and …, 2013 – … We also provide a short comparative study of two fundamental STSS measures, STASIS and Latent Semantic Analysis (LSA), to illustrate how STSS … In dialog systems, the worth of an STSS measure could be measured indirectly through the performance of a system in which it is … Cited by 1 Related articles

Shared Mental Models of Cognition for Intelligent Tutoring of Teams JD Fletcher, RA Sottilare – Design Recommendations for Intelligent …, 2013 – … attain instructional objectives. Because of their dynamic qualities, they are particularly suited to tutorial dialogue systems that must generate instructional and problem solving guidance on demand, in real time. Development of … Cited by 2 Related articles All 7 versions

Network-based distributional semantic models E Iosif – 2013 – … I gratefully acknowledge the financial support I received from the PortDial project (“Language Resources for Portable Multilingual Spoken Dialog Systems”) supported by the EU Seventh Framework Programme (FP7), grant number 296170, and and the Basic Research … Cited by 2 Related articles All 4 versions

Semantic Change Computation: A Successive Approach X Tang, W Qu, X Chen – Behavior and Social Computing, 2013 – Springer … parsing and word sense dis- ambiguation, and higher level applications such as automatic translation and dialogue systems, need access to … Secondly, Entropy based Word Status Measurement is more efficient than Latent Semantic Analysis, especially on very large corpus. … Related articles All 3 versions

Trust-Based User Profiling N Dokoohaki – 2013 – Page 1. Trust-Based User Profiling NIMA DOKOOHAKI Doctoral Thesis in Information and Communication Technology School of Information and Communication Technologies (ICT) KTH – Royal Institute of Technology Stockholm, Sweden 2013 Page 2. … Cited by 1 Related articles

A General Model of Adaptive Tutorial Dialogues for Intelligent Tutoring Systems A Weerasinghe – 2013 – Page 1. A General Model of Adaptive Tutorial Dialogues for Intelligent Tutoring Systems A thesis submitted in partial fulfilment of the requirements for the Degree of Doctor of Philosophy by Amali Weerasinghe Supervising Committee … Related articles

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 – Warning: The NCBI web site requires JavaScript to function. more… … Cited by 25 Related articles All 6 versions

Learner Corpora and Natural Language Processing D Meurers – Submitted to The Cambridge Handbook of Learner …, 2013 – Page 1. Learner Corpora and Natural Language Processing Detmar Meurers Universität Tübingen Revision 8474 Core issues, notions, and methods Learner corpora collect the language produced by people learning their first or a second lan- guage. … Cited by 1 Related articles All 2 versions

Speech Recognition Technology: A Survey on Indian Languages G Hemakumar, P Punitha – … 2000 Gaussian mixture language model 2007 Continuous topic language model 2008 3 Latent Sematic (Topic) models Latent semantic analysis 1997 Probability latent sematic analysis 1999 Latent Dirichlet Allocation 2003 Word Topic model 2007 Word Vicinity model 2009 … Related articles All 2 versions

[BOOK] Semi-Supervised and Unsupervised Machine Learning: Novel Strategies A Albalate, W Minker – 2013 – … Page 21. 8 Machine Learning 1.2. Utterance corpus The first datasets are two corpora of utterance transcripts collected from spoken language dialogue systems (SLDSs). SLDS emerged in the mid-1990s as a new, important form of human–machine communication. … Cited by 2 Related articles All 3 versions

Behavioral Signal Processing: Deriving Human Behavioral Informatics From Speech and Language S Narayanan, PG Georgiou – Proceedings of the IEEE, 2013 – … such as the child’s confi- dence or certainty [1] and socio-emotional state such as frustration, engagement, and joy in the activity [2]–[5]. Computing high level states such as uncertainty and engagement from behavioral cues can be used within a spoken dialog system such as … Related articles

Pre-Processing MRSes T Bruland – In Proceedings of the 10th International Conference on …, 2013 – … ACE can parse and generate using the compiled grammar. Our goal is to create a pipeline for the NorSource grammar and use it to create small question-answer systems or dialogue systems. The first step in the pipeline is the parsing process with ACE. … Cited by 1 Related articles All 5 versions

Distributional phrasal paraphrase generation for statistical machine translation Y Marton – ACM Transactions on Intelligent Systems and …, 2013 – … 3The dimensions of the DP cooccurrence vector can be defined arbitrarily, and do not have to correspond to the words in the vocabulary. The most notable alternative representation is the Latent Semantic Analysis and its variants [Landauer et al. 1998; Finkelstein et al. … Cited by 2 Related articles

Automatic Generation of Factual Questions from Video Documentaries Y Skalban – 2013 – … LHS Left Hand Side LOTS Lower Order Thinking Skills LSA Latent Semantic Analysis MCQ Multiple Choice Question … identification, and (4) question construction. Question Generation is an important component in dialogue systems, virtual environments, and learning … Related articles All 4 versions

Machine learning paradigms for speech recognition: An overview L Deng, X Li – IEEE Transactions on Audio, Speech & Language …, 2013 – … One can introduce latent variables to model more complex distributions. For example, latent topic models such as proba- bilistic Latent Semantic Analysis (pLSA) and Latent Dirichilet Allocation (LDA), are widely used as generative models for text inputs. … Cited by 24 Related articles All 8 versions