Latent Semantic & Dialog Systems 2015


See also:

Latent Semantic & Dialog Systems 2012Latent Semantic & Dialog Systems 2013 | 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


A neural network approach to context-sensitive generation of conversational responses A Sordoni, M Galley, M Auli, C Brockett, Y Ji… – arXiv preprint arXiv: …, 2015 – arxiv.org … Broadly speaking, context may be linguistic or involve grounding in the physical or virtual world, but we here focus on linguistic context. The ability to take into account previous utterances is key to building dialog systems that can keep con- versations active and engaging. … Cited by 40 Related articles All 15 versions

Matrix factorization with knowledge graph propagation for unsupervised spoken language understanding YN Chen, WY Wang, A Gershman… – Proceedings of ACL- …, 2015 – aclweb.org … yvchen, yww, anatoleg, air}@cs.cmu.edu Abstract Spoken dialogue systems (SDS) typically require a predefined semantic ontology to train a spoken language understanding (SLU) module. In addition to the anno- tation cost … Cited by 16 Related articles All 16 versions

The eras and trends of automatic short answer grading S Burrows, I Gurevych, B Stein – International Journal of Artificial …, 2015 – Springer … Aleven, V., Ogan, A., Popescu, O., Torrey, C., Koedinger, K. (2004). Evaluating the effectiveness of a tutorial dialogue system for self-explanation. … Measuring improvement in latent semantic analysis-based marking systems: using a computer to mark questions about HTML. … Cited by 19 Related articles All 5 versions

Integration of word and semantic features for theme identification in telephone conversations Y Esteve, M Bouallegue, C Lailler, M Morchid… – … Dialog Systems and …, 2015 – Springer … WY, Rudnicky AI (2014) Leveraging frame semantics and distributional semantics for unsupervised semantic slot induction in spoken dialogue systems. … and Nevada Deerwester S, Dumais ST, Furnas GW, Landauer TK, Harshman R (1990) Indexing by latent semantic analysis. … Cited by 4 Related articles All 6 versions

Evaluating prerequisite qualities for learning end-to-end dialog systems J Dodge, A Gane, X Zhang, A Bordes, S Chopra… – arXiv preprint arXiv: …, 2015 – arxiv.org … The design of our tasks is such that all test one or more key characteristics a dialog system should have but also that an … For matching two documents supervised semantic indexing (SSI) was shown to be superior to unsupervised latent semantic indexing (LSI) (Bai et al., 2009). … Cited by 9 Related articles All 3 versions

Tools for videogame discovery built using latent semantic analysis JO Ryan, E Kaltman, M Mateas… – Proc. Foundations of …, 2015 – users.soe.ucsc.edu … Latent Semantic Analysis James Owen Ryan1,2, Eric Kaltman1, Michael Mateas1, and Noah Wardrip-Fruin1 1 Expressive Intelligence Studio 2 Natural Language and Dialogue Systems Lab University of California, Santa Cruz {jor, ekaltman, michaelm, nwf}@soe.ucsc.edu … Cited by 2 Related articles All 4 versions

Efficient learning for spoken language understanding tasks with word embedding based pre-training Y Luan, S Watanabe, B Harsham – Sixteenth Annual Conference of the …, 2015 – Citeseer … Re- search and commercial spoken dialog systems,” in Proceedings of the 6th Annual Meeting of the Special Interest Group on Discourse and Dialogue … [18] SC Deerwester, ST Dumais, TK Landauer, GW Furnas, and RA Harshman, “Indexing by latent semantic analysis,” JAsIs … Cited by 4 Related articles All 8 versions

Spoken language understanding in a nutrition dialogue system MB Korpusik – 2015 – dspace.mit.edu Page 1. Spoken Language Understanding in a Nutrition ARCVES Dialogue System by Mandy B. Korpusik … the lack of a specific nutrient. 1.1 Dialogue Systems Spoken dialogue systems like this one have become increasingly prevalent in today’s … Cited by 3 Related articles All 3 versions

Detecting actionable items in meetings by convolutional deep structured semantic models YN Chen, D Hakkani-T, X He – 2015 IEEE Workshop on …, 2015 – ieeexplore.ieee.org … language understanding mod- els [4, 5, 6, 7, 8, 9]. These would then be used in human-machine dialogue systems that automate … Then the latent semantic features generated by CDSSM show the effectiveness of detecting actions in meetings compared to lexi- cal features, and … Cited by 3 Related articles All 5 versions

Understanding student language: An unsupervised dialogue act classification approach A Ezen-Can, KE Boyer – JEDM-Journal of Educational …, 2015 – educationaldatamining.org … as a research focus within the dialogue systems research community (Ezen-Can and Boyer, … For tutorial dialogue, promising approaches have included an extension of latent semantic analysis (Serafin and Di Eugenio, 2004), a syntactic parser model (Marineau, … Cited by 4 Related articles All 7 versions

Call routing based on a combination of the construction-integration model and latent semantic analysis: A full system G Jorge-Botana, R Olmos, A Barroso – Informatica, 2015 – search.proquest.com … Latent Semantic Analysis Parameters for Essay Evaluation using Small-Scale Corpora. … and No Target Domain Data, in Perception in Multimodal Dialog Systems, Proceedings of the 4th IEEE Tutorial and Research Workshop on Perception and Interactive Technologies for … Cited by 1 Related articles All 13 versions

Authoring conversation-based assessment scenarios D Zapata-Rivera, T Jackson, IR Katz – … for Intelligent Tutoring …, 2015 – researchgate.net … Discussion Traditional authoring tools for dialogue systems assume that authors are familiar with computer natural language processing techniques (eg, regular expressions and latent semantic analysis) and have some computer programming skills (eg, rule-based and … Cited by 2 Related articles All 2 versions

Using recurrent neural networks for slot filling in spoken language understanding G Mesnil, Y Dauphin, K Yao, Y Bengio… – … on Audio, Speech, …, 2015 – ieeexplore.ieee.org Page 1. 2329-9290 (c) 2013 IEEE. Personal use is permitted, but republication/ redistribution requires IEEE permission. See http://www.ieee.org/ publications_standards/publications/rights/index.html for more information. This … Cited by 50 Related articles All 16 versions

Interpreting Questions with a Log-Linear Ranking Model in a Virtual Patient Dialogue System E Jaffe, M White, W Schuler… – Proceedings of the …, 2015 – anthology.aclweb.org … 2 Background and Related Work In a dialogue system where user utterances are ex- pected to have one of a fixed set of expected interpre- tations, a straightforward way to implement the nat- ural language understanding … (2011) make use of Latent Semantic Analysis, a … Cited by 1 Related articles All 9 versions

TSVD as a Statistical Estimator in the Latent Semantic Analysis Paradigm G Pilato, G Vassallo – IEEE Transactions on Emerging Topics in …, 2015 – ieeexplore.ieee.org … LATENT Semantic Analysis (LSA) is a technique based on linear algebra that tries to roughly capture and code the semantics of … such as natural language understanding, cognitive modeling, speech recog- nition, smart indexing, anti-spam filters, dialogue systems and other … Cited by 2 Related articles All 4 versions

Learning Bidirectional Intent Embeddings by Convolutional Deep Structured Semantic Models for Spoken Language Understanding YN Chen, X He – Extended Abstract of The 29th Annual …, 2015 – research.microsoft.com … Leveraging frame semantics and distri- butional semantics for unsupervised semantic slot induction in spoken dialogue systems. In Proceedings of SLT, 2014. … A latent semantic model with convolutional-pooling structure for information retrieval. … Cited by 1 Related articles All 3 versions

Artificial conversations for customer service chatter bots: Architecture, algorithms, and evaluation metrics C Chakrabarti, GF Luger – Expert Systems with Applications, 2015 – Elsevier … State tracking is an important task in management of dialog systems. … The speech acts are determined using a bag-of-words based latent semantic analysis (Fig. 3) (Deerwester, Dumais, Furnas, Landauer, & Harshman, 1990). … Cited by 2 Related articles All 5 versions

What we talk about when we talk about games: Bottom-up game studies using natural language processing JO Ryan, E Kaltman, M Mateas… – Proc. …, 2015 – pdfs.semanticscholar.org … Eric Kaltman1, Michael Mateas1, and Noah Wardrip-Fruin1 1 Expressive Intelligence Studio 2 Natural Language and Dialogue Systems Lab University … the growing body of work through which this methodology has been innovated; we present a latent semantic analysis model … Cited by 7 Related articles All 4 versions

Large-scale interactive visualizations of nearly 12,000 digital games JO Ryan, E Kaltman, AM Fisher, T Hong… – … of Digital Games, 2015 – games.soe.ucsc.edu … Michael Mateas1, and Noah Wardrip-Fruin1 1 Expressive Intelligence Studio, 2 Natural Language and Dialogue Systems Lab 3 … These were built using techniques from natural language processing and machine learning, namely latent semantic analysis, clustering analysis … Cited by 1 Related articles All 4 versions

Automated Labelling of Dialogue Modes In Tutorial Dialogues. V Rus, NB Niraula, N Maharjan… – FLAIRS …, 2015 – pdfs.semanticscholar.org … The related task of speech act prediction, which is about deciding what next speech act the automated dialogue system should generate, has also been investigated to some extent (Reithinger … FLSA: Extending Latent Semantic Analysis with features for dialogue act classification … Cited by 1 Related articles All 2 versions

A Survey On Emotion Detection Techniques using Text in Blogposts R Hirat, N Mittal – International Bulletin of Mathematical Research, 2015 – academia.edu … Various kinds of the Human centered communication systems are there such as dialogue systems, automatic answering systems and human … and MN Jones, “More data trumps smarter algorithms: Comparing pointwise mutual information with latent semantic analysis,” Behavior … Cited by 1 Related articles

Sentiment and behaviour annotation in a corpus of dialogue summaries NT Roman, P Piwek, AMBR Carvalho… – Journal of Universal …, 2015 – jucs.org Page 1. Sentiment and Behaviour Annotation in a Corpus of Dialogue Summaries Norton Trevisan Roman (University of S˜ao Paulo, S˜ao Paulo – Brazil norton@usp.br) Paul Piwek (The Open University, Milton Keynes – United Kingdom p.piwek@open.ac.uk) … Cited by 2 Related articles All 9 versions

A new Automatic approach for Understanding the Spontaneous Utterance in Human-Machine Dialogue based on Automatic Text Categorization M Lichouri, A Djeradi, R Djeradi – Proceedings of the International …, 2015 – dl.acm.org … The understanding of an ut- terance in SDS (Speech Dialog System) is of a great deal of importance in their generalization, because it determines the semantic contents of the utterance, on one hand, and it is … Sentence Representation by LSA(Latent Semantic Anal- ysis): . … Related articles

Semantic Features for Dialogue Act Recognition P Král, L Lenc, C Cerisara – International Conference on Statistical …, 2015 – Springer … Sapporo, Japan (2003). 24. Liang, WB, Wu, CH, Chen, CP: Semantic information and derivation rules for robust dialogue act detection in a spoken dialogue system. … Serafin, R., Di Eugenio, B.: LSA: extending latent semantic analysis with features for dialogue act classification. … Related articles All 7 versions

Unsupervised Learning and Modeling of Knowledge and Intent for Spoken Dialogue Systems YN Chen – target, 2015 – cs.cmu.edu Page 1. Unsupervised Learning and Modeling of Knowledge and Intent for Spoken Dialogue Systems Yun-Nung (Vivian) Chen Ph.D. Thesis Proposal … 69 xiii Page 20. xiv Page 21. 1Introduction 1.1 Spoken Dialogue System … Related articles All 10 versions

Example-based dialog modeling for a mobile system T Cunha – researchgate.net … With the set of DAs set, we do not need to search for the sentence in the entire database which consequently improve the performance and accuracy of the dialogue system. … This fact motivated us to use corpus based approaches such as Latent Semantic Analysis (LSA). … Related articles

Interrogative Sentence Generation and Dialogue Management in Intelligent Tutoring System Z ZHANG, X SHANG – 2015 – atlantis-press.com … Several techniques such as latent semantic analysis (LSA) and those based on machine translation evaluation methods have been proposed to … To the dialogue system, the text produced by the Human-Machine-Interface (HMI) does not automatically have any meaning that … Related articles

Driver prediction to improve interaction with in-vehicle HMI B Harsham, S Watanabe, A Esenther, J Hershey… – 2015 – merl.com … Section 3 focuses on spoken language understanding (SLU) for in-vehicle dialog systems, which predict user in- tentions from the output of an … Classic latent topic models have been used for SLU including Probabilistic Latent Semantic Ana- lysis (PLSA) [15] and LDA [13]. … Cited by 1 Related articles All 6 versions

Possibilities, Challenges and the State of the Art of Automatic Speech Recognition in Air Traffic Control VN Nguyen, H Holone – World Academy of Science, Engineering and …, 2015 – waset.org … [8] Noah B. Coccaro. Latent Semantic Analysis As a Tool to Improve Automatic Speech Recognition Performance. PhD thesis, Boulder, CO, USA, 2005. … ACM, 2007. [45] F Marque, SK Bennacef, F Neel, and S Trinh. Parole: a vocal dialogue system for air traffic control training. … Cited by 1 Related articles All 2 versions

Improving Classification of Natural Language Answers to ITS Questions with Item-Specific Supervised Learning. BD Nye, MH Hajeer, Z Cai – FLAIRS Conference, 2015 – pdfs.semanticscholar.org … This method also outperforms general Latent Semantic Anal- ysis for evaluating the quality of input after approximately 8 tagged examples are available. … All rights reserved. NLP), these experts have little to no expertise about improv- ing dialog systems. … Related articles All 2 versions

Semantic Grounding in Dialogue for Complex Problem Solving X Li, KE Boyer – aclweb.org … This characteristic is shared by most dialogue systems, which ground their dia- logue in manually defined domain-specific ontolo- gies, such as … Finally, in contrast to methods based on bag-of-words such as latent semantic analysis, the proposed approach models the structure … Related articles All 7 versions

Conversation-based Assessment Scenarios D Zapata-Rivera, T Jackson… – … for Intelligent Tutoring …, 2015 – books.google.com … Discussion Traditional authoring tools for dialogue systems assume that authors are familiar with computer natural language processing techniques (eg, regular expressions and latent semantic analysis) and have some computer programming skills (eg, rule-based and … Related articles

Review of integrated applications with AIML based chatbot MS Satu, MH Parvez – 2015 International Conference on …, 2015 – ieeexplore.ieee.org … AutomaticaUy Extracting Dialog Models: [8] This system is works as task-oriented natural language dialog system which is interact with user to accom plish a given objective. … Sub-symbolic layer in Intuitive chatbot: [12] This is combined Latent Semantic Analysis with common … Related articles

Information Retrieval by Linkage Discovery RS Segall, S Lu – 2015 – igi-global.com … Latent Semantic Analysis with Glossaries [Lu et al.(2012)] … nets and corpus statistics by noting that 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 All 2 versions

Computing Semantic Textual Similarity Based on Partial Textual Entailment M V?ta – researchgate.net … attention of NLP community due to wide range of potential ap- plications, containing among others plagiarism detec- tion, dialogue systems etc. … similar documents and duplic- ity task as well as exploring medical curricula, a solu- tion based on latent semantic analysis (LSA) is … Related articles

Using Ontology-Based Context in the Portuguese-English Translation of Homographs in Textual Dialogues D Moussallem, R Choren – arXiv preprint arXiv:1510.01886, 2015 – arxiv.org … Registered continuity of opportunities encouraging the production of scientific and technological knowledge to explore the scope of linguistics and machine translation into dialogue systems. … Using a bag of words for automatic medical image annotation with a latent semantic. … Related articles All 6 versions

Topic identification techniques applied to dynamic language model adaptation for automatic speech recognition JD Echeverry-Correa, J Ferreiros-López… – Expert Systems with …, 2015 – Elsevier … Techniques, in the line of Latent Semantic Analysis (Deerwester et al., 1990) such as Probabilistic Latent Semantic Analysis (PLSA) (Hofmann, 1999 … such as in information retrieval systems as part of the ranking function (Zhai, 2008), in spoken dialogue systems for adapting the … Related articles All 4 versions

Using and Improving Coding Guides For and By Automatic Coding of PISA Short Text Responses F Zehner, F Goldhammer – 2015 IEEE International …, 2015 – ieeexplore.ieee.org … Since the processing of natural language is relevant to various different domains—for example, dialog systems—a vast diversity of … Hence, we selected clustering and Latent Semantic Analysis, which is conceptually related to factor analysis, since both these techniques are … Related articles All 5 versions

Arabic Language Challenges In Text Based Conversational Agents Compared To The English Language M Hijjawi, Y Elsheikh – academia.edu … 2001. Patras, Greece. [44] Hijjawi, M., et al., An Application of Pattern Matching Stemmer in Arabic Dialogue System, in 5th … 2008: Spain. [47] Landauer, T., P. Foltz, and D. Laham, Introduction to Latent Semantic Analysis. Discourrse Processes, 1998. V 25: p. pp 259-284. … Cited by 1 Related articles

Query Refinement Using Conversational Context: A Method and an Evaluation Resource M Habibi, A Popescu-Belis – … on Applications of Natural Language to …, 2015 – Springer … http://mallet.cs.umass.edu. 21. Park, LAF: Query expansion using a collection dependent probabilistic latent semantic thesaurus. … Wang, D., Hakkani-Tur, D., Tur, G.: Understanding computer-directed utterances in multi-user dialog systems. … Related articles All 5 versions

Towards a Cognitive Natural Language Processing Perspective B Sharp – Language Production, Cognition, and the Lexicon, 2015 – Springer … approach to build a natural language understanding system in their attempt at addressing the problem that most dialogue systems suffer from lack of … Latent semantic analysis was used to compute the semantic similarities between the search goal and the fixated set of words. … Related articles All 5 versions

Towards an Automated Contact Centers (An Implementation of Artificial Intelligence and Text Mining techniques for CRM) MMI Sakre – ijser.org … query. The Latent Semantic Indexing (LSI) is used to enhance the selection of the final and closest answer from the list. Arabic … mall. It contains 2 Parts: an Internet multimedia dialogue system and a human agent assisting system. Klemm … Related articles

Content Finder Assistant R Laroche – Intelligence in Next Generation Networks (ICIN), …, 2015 – ieeexplore.ieee.org … There remain several computational optimisation tracks to reduce the complexity such as Latent Semantic Analysis [13] to reduce the cardinality of T or document sampling to … 1) Dialogue system generation: The low part of the graph describes the generation of the application. … Related articles

AXON: A personalized retrieval information system in Arabic texts based on linguistic features S Houssem, J Maher, BH Lamia – Information Systems and …, 2015 – ieeexplore.ieee.org Page 1. Safi Houssem, Jaoua Maher, Belguith Hadrich Lamia ANLP Research Group, Laboratoire MIRACL Faculté des Sciences Economiques et de Gestion de Sfax Sfax, Tunisie safi.houssem@gmail.com {Maher.Jaoua, l.beguith}@fsegs.rnu.tn … Related articles

Natural language processing in serious games: a state of the art D Picca, D Jaccard, G Eberlé – Int J Serious Games, 2015 – pdfs.semanticscholar.org … This algorithm is used in Eveil-3D, AutoMentor and Land Science for language model in classification task as the speech acts in AutoMentor. 3.3 Latent semantic analysis (LSA) LSA is successful technique widely employed in NLP tasks. … Cited by 1 Related articles All 2 versions

Adequacy–fluency metrics: Evaluating MT in the continuous space model framework RE Banchs, LF D’Haro, H Li – IEEE/ACM Transactions on Audio, …, 2015 – ieeexplore.ieee.org … For implementing the adequacy-oriented component of the metric (referred to as the AM component), a Latent Semantic Indexing [33] approach is used. … As already mentioned, the adequacy-oriented component of the metric AM is implemented by means of Latent Semantic … Cited by 6 Related articles All 3 versions

A Perspective on Computer Assisted Assessment Techniques for Short Free-Text Answers S Roy, Y Narahari, OD Deshmukh – International Computer Assisted …, 2015 – Springer … Dzikovska, M., Bell, P., Isard, A., Moore, JD: Evaluating language understanding accuracy with respect to objective outcomes in a dialogue system. … Graesser, AC, Wiemer-Hastings, PM, Wiemer-Hastings, K., Harter, D., Person, NK: Using latent semantic analysis to evaluate the … Related articles All 3 versions

Code-switching event detection by using a latent language space model and the delta-Bayesian information criterion CH Wu, HP Shen, CS Hsu – IEEE/ACM Transactions on Audio, …, 2015 – ieeexplore.ieee.org … Latent semantic analysis (LSA) was then adopted for constructing a matrix to model the importance of each principal … Code-switching event detection is becoming indispensable in human–machine communication applications, particularly in multilingual spoken dialog systems. … Related articles All 5 versions

Content-Based Automated Assessment of Non-Native Spoken Language Proficiency in a Simulated Conversation K Evanini, S Singh, A Loukina, X Wang, CM Lee – aloukina.com … This system used Latent Semantic Analysis (LSA) to compare the content in a spoken response to prompt-specific mod- els trained on high … to assessing a non-native speaker’s interactive speaking ability given the constraints of state-of-the-art spoken dialog systems (SDS) and … Related articles

Evaluation of Lexical-Based Approaches to the Semantic Similarity of Malay Sentences (the final version of this paper appeared in JOURNAL OF … SA Noah, N Omar, AY Amruddin – LINGUISTICS, 2015 – researchgate.net … term co-occurrence counts over large corpora. Another popular approach is latent semantic analysis (LSA), whereby term co-occurrences are captured by means of dimensionality … dialogue systems. Results from their experiments showed that the proposed method provides … Related articles

Bringing machine learning and compositional semantics together P Liang, C Potts – Annu. Rev. Linguist., 2015 – annualreviews.org … The pure semantic parsing task (Section 4.1) is to learn an accurate mapping from utterances u to logical forms s. The interpretation task (Section 4.2) is to learn an accurate mapping from utterances u to denotations d via latent semantic representations, in effect combining … Cited by 15 Related articles All 4 versions

Data personalization G Koutrika – Data Management in Pervasive Systems, 2015 – Springer … Dialogue systems can support a broad range of applications in education, healthcare, and entertainment, such as responding to customers … user database to estimate or learn a model (eg, Bayesian [15], probabilistic relational [23], and probabilistic Latent Semantic Analysis (LSA … Cited by 2 Related articles All 3 versions

Data mining and education KR Koedinger, S D’Mello… – Wiley …, 2015 – Wiley Online Library Skip to Main Content. Wiley Online Library. Log in / Register. Log In E-Mail Address Password Forgotten Password? Remember Me. … Cited by 11 Related articles All 6 versions

Unsegmented dialogue act annotation and decoding with n-gram transducers CD Martínez-Hinarejos, JM Benedí… – IEEE/ACM Transactions …, 2015 – ieeexplore.ieee.org … 41], Bayesian Networks [42], regression trees [43], SVM and Latent Semantic Analysis [44]. The assumption of the segmentation (ie, knowing when the dialogue segments start and end inside a turn) is not realistic in some cases, such as for spoken dialogue systems and when … Related articles All 3 versions

Using ConceptGrid as an easy authoring technique to check natural language responses SB Blessing, S Devasani, SB Gilbert… – … Journal of Learning …, 2015 – inderscienceonline.com … physics, computer literacy and critical thinking. Unlike Why2-Atlas, AutoTutor primarily uses latent semantic analysis (LSA; Landauer et al., 1998) to check student responses (Graesser et al., 2000). While using LSA might make … Related articles All 2 versions

Service personalisation of assistive robot for autism care R Khosla, K Nguyen, MT Chu – Industrial Electronics Society, …, 2015 – ieeexplore.ieee.org … Dialogue System Question Verbal/Non-verbal Analysis Answers of Elderly Matilda … w , where } ,,,, 21 neutral e ee w m s ? The semantic model was trained with BNC (British National Corpus) [1] using Latent Semantic Analysis (LSA) [2] to create the semantic vector space. … Related articles

Content-based Tweets Semantic Clustering and Propagation MA Michalakos – 2015 – repository.ihu.edu.gr … organize them based on their topic. Various topic modeling approaches has been proposed by researchers such as Probabilistic Latent Semantic Analysis (PLSA), Hidden Topic Markov Models (HMM), Latent Dirichlet Allocation (LDA) and many more. In our thesis we are going … Related articles

Coreference Applications to Summarization J Steinberger, M Kabadjov, M Poesio – cswww.essex.ac.uk … The discussion follows the summarization frame- work based on Latent Semantic Analysis (LSA), however, the ideas can be applied to any sentence-scoring approach. … Next, we briefly introduce latent semantic analysis (LSA, [22]) and the summariza- tion approach based on it. … Related articles All 5 versions

Evaluation of lexical-based approaches to the semantic similarity of Malay sentences SA Noah, N Omar, AY Amruddin – Journal of Quantitative …, 2015 – Taylor & Francis … Another popular approach is Latent Semantic Analysis (LSA), whereby term co-occurrences are captured by means of dimensionality reduction using … Their work focused on short sentences which are featured in applications such as conversational agents and dialogue systems. … Related articles All 4 versions

Characterizing and Predicting Voice Query Reformulation A Hassan Awadallah, R Gurunath Kulkarni… – Proceedings of the 24th …, 2015 – dl.acm.org … There has been significant amount of research on spoken dialog systems in the last two decades [28] and recently partially observable … Semantic Similarity: Latent semantic models, such as LSA, map text to a low-dimensional space where the similarity between two pieces of … Related articles

A Utility Model of Authors in the Scientific Community Y Sim, BR Routledge, NA Smith – aclweb.org Page 1. Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing, pages 1510–1519, Lisbon, Portugal, 17-21 September 2015. cO2015 Association for Computational Linguistics. A Utility Model of Authors in the Scientific Community … Related articles All 11 versions

Multiple topic identification in human/human conversations X Bost, G Senay, M El-Bèze, R De Mori – Computer Speech & Language, 2015 – Elsevier … Pedersen (1997). In order to reduce the dimensionality of the feature space, latent semantic analysis (lsa) (Bellegarda, 2000), its probabilistic version (plsa) and latent Dirichlet allocation (lda) have been used for topic identification. In … Cited by 1 Related articles All 3 versions

Building Ontologies from Text Corpora A Benafia, S Mazouzi, S Benafia – … of the The International Conference on …, 2015 – dl.acm.org … In [31] , the authors have proposed a semi-automatic approach based on the user-interactive dialogue system for knowledge acquisition … They adopt Latent Semantic Indexing (LSI), which attempts to catch term-term statistical references by replacing the document space with … Related articles

Measuring Semantic Relatedness using Mined Semantic Analysis W Shalaby, W Zadrozny – arXiv preprint arXiv:1512.03465, 2015 – arxiv.org … Bracketing Quantitative linguistics Lemmatisation Natural language processing Indigenous Tweets Internet linguistics Statistical semantics Grammar induction Treebank Dialog systems Light verb … Another closely related model is Latent Semantic Analysis (LSA) [7, 20]. … Related articles All 3 versions

Solving verbal comprehension questions in IQ test by Knowledge-Powered word embedding H Wang, F Tian, B Gao, J Bian, TY Liu – arXiv preprint arXiv:1505.07909, 2015 – arxiv.org Page 1. arXiv:1505.07909v4 [cs.CL] 26 Apr 2016 Solving Verbal Questions in IQ Test by Knowledge-Powered Word Embedding Huazheng Wang The University of Virginia huazhengwang@gmail.com Fei Tian University of Science … Cited by 5 Related articles All 6 versions

Semantic similarity from natural language and ontology analysis S Harispe, S Ranwez, S Janaqi… – Synthesis Lectures on …, 2015 – 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 13 Related articles All 6 versions

Within and cross-corpus speech emotion recognition using latent topic model-based features M Shah, C Chakrabarti, A Spanias – … Journal on Audio, Speech, and Music …, 2015 – Springer … Emotion conveys important information about a speaker’s mood or personality, which makes it an ideal choice for improving human-machine interaction [1]. Speech-based emotion recognition is applicable to automatic speech recognition (ASR), spoken dialog systems (SDS) [2 … Cited by 3 Related articles All 7 versions

Arabic tweets clustering and labeling based on lingual and semantically enriched bayesian network model D Daoud, A Al-kouz, K Hasssan… – Recent Patents on …, 2015 – ingentaconnect.com … [3] A. Al-Kouz, EWD Luca and S. Albayrak, “Latent Semantic Social Graph Model For Expert Discovery In Facebook … [9] M. Hijjawi, Z. Bandar, K. Crockett and D. Mclean, “An applica- tion of pattern matching stemmer in arabic dialogue system”, In J. OShea, N. Nguyen, K. Crockett … Cited by 1 Related articles All 3 versions

A comparative study of evolving fuzzy grammar and machine learning techniques for text categorization NM Sharef, T Martin, KA Kasmiran, A Mustapha… – Soft Computing, 2015 – Springer … It has been utilized in many applications, such as dialogue systems, named entity recognition, information retrieval, and text categorization … A shallow semantic understanding was provided by the latent semantic analysis method (Salton and Buckley 1988 ), automated sentence … Related articles All 3 versions

Explaining recommendations: Design and evaluation N Tintarev, J Masthoff – Recommender Systems Handbook, 2015 – Springer Page 1. Chapter 10 Explaining Recommendations: Design and Evaluation Nava Tintarev and Judith Masthoff 10.1 Introduction In recent years, there has been an increased interest in more user-centered evaluation metrics for … Cited by 2 Related articles All 3 versions

EMNLP versus ACL: Analyzing NLP Research Over Time SD Gollapalli, XL Li – anthology.aclweb.org … Topic ID Top Words 0 System, Dialogue, Dialogue System, Information, Speech Recognition, Speech, Dialogue Manager, Data Collection, User Utterances 1 Model, Training Data, Language Model, Model Parameters, Models, Generative … Probabilistic latent semantic indexing. … Related articles All 10 versions

Decoupling word-pair distance and co-occurrence information for effective long history context language modeling TY Chong, RE Banchs, ES Chng… – IEEE/ACM Transactions …, 2015 – ieeexplore.ieee.org … in the history-context. Latent-semantic-based language models [10], [11], on the other hand, apply weighting schemes, such as TFIDF, to scale the … the distance information completely, as the trigger and latent-semantic models do, this approach offers a flexible way for … Cited by 1 Related articles All 3 versions

Learner corpora and natural language processing D Meurers – The Cambridge handbook of learner corpus research. …, 2015 – purl.org 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 5 Related articles All 3 versions

The Self-taught Speech Interface B Ons – 2015 – lirias.kuleuven.be … PCA Principal Component Analysis PLSA Probabilistic Latent Semantic Analysis SCI Spinal Cord Injury SNMF Supervised NMF SVQ Soft Vector Quantization UBM Universal Background Model VQ Vector Quantization VUI Vocal User Interface vii Page 12. Page 13. Contents … Related articles

A chatbot service for use in video game development AJ Larsen – 2015 – 146.141.12.21 … LTML Lookup Template Modelling Language LSA Latent Semantic Analysis NPC Non-Playable Character … An example of a statistical method is Latent Semantic Analysis (LSA) [15]. Domain-specific models are proprietary and created for a specific application or … Related articles All 2 versions

Sentiment Analysis of M&S Customers Reviews A Alharbi – 2015 – vlebb.leeds.ac.uk … 2.6.2.1. Point-wise mutual information (PMI) ………… 18 2.6.2.2. Information gain (info-gain) ………… 18 2.6.2.3. Latent Semantic Indexing (LSI) ………… 18 3 Sentiment analysis methodology 19 3.1. … Related articles

[BOOK] Sentic computing: a common-sense-based framework for concept-level sentiment analysis E Cambria, A Hussain – 2015 – books.google.com … Examples of the second domain will include, but not limited to: computational and psychological models of emotions, bodily manifestations of affect (facial expressions, posture, behavior, physiology), and affective interfaces and applications (dialogue systems, games, learning … Cited by 43 Related articles All 2 versions

Spoken content retrieval—beyond cascading speech recognition with text retrieval L Lee, J Glass, H Lee, C Chan – IEEE/ACM Transactions on …, 2015 – ieeexplore.ieee.org Page 1. IEEE/ACM TRANSACTIONS ON AUDIO, SPEECH, AND LANGUAGE PROCESSING, VOL. 23, NO. 9, SEPTEMBER 2015 1389 Spoken Content Retrieval—Beyond Cascading Speech Recognition with Text Retrieval … Cited by 4 Related articles All 6 versions

[BOOK] Computational Linguistics and Intelligent Text Processing: 16th International Conference, CICLing 2015, Cairo, Egypt, April 14-20, 2015, Proceedings A Gelbukh – 2015 – books.google.com … 335 Alia El Bolock and Slim Abdennadher A Multi-strategy Approach for Lexicalizing Linked Open Data….. 348 Rivindu Perera and Parma Nand A Dialogue System for Telugu, a Resource-Poor Language….. 364 Mullapudi Ch. … Related articles All 2 versions

Computational modeling of the role of discourse information in language production and language acquisition N Orita – 2015 – drum.lib.umd.edu … First, I formalize the latent semantic information in humans’ discourse representations by … These 3 Page 19. case studies would be illustrative of more general problems such as how one could formalize the latent semantic information in humans’ discourse representations and … Related articles

Effective use of cross-domain parsing in automatic speech recognition and error detection MA Marin – 2015 – digital.lib.washington.edu … information, we attempt to detect their location and extent (within the ASR hypothesis), as well as the type, in order to handle them effectively during the subsequent clarification request made by the dialog system component. In particular we are interested in two types … Cited by 2 Related articles All 2 versions

Natural Language Processing Research with NAO Robots J De Smedt – scriptiebank.be … Datasheet ….. 128 Appendix IV: A frame-based Dialogue System ….. 131 Appendix V: An Event-based Dialogue System ….. 132 Appendix … Related articles

[BOOK] Advances in Artificial Intelligence and Its Applications: 14th Mexican International Conference on Artificial Intelligence, MICAI 2015, Cuernavaca, Morelos, … OP Lagunas, OH Alcántara, GA Figueroa – 2015 – books.google.com Page 1. Obdulia Pichardo Lagunas Oscar Herrera Alcántara Gustavo Arroyo Figueroa (Eds.) Advances in Artificial Intelligence and Its Applications 14th Mexican International Conference on Artificial Intelligence, MICAI 2015 … Related articles

Sentic Computing E Cambria, A Hussain – Cognitive Computation, 2015 – Springer … Examples of the second domain will include, but not limited to: computational and psychological models of emotions, bodily manifestations of affect (facial expressions, posture, behavior, physiology), and affective interfaces and applications (dialogue systems, games, learning … Cited by 2 Related articles All 8 versions

Novel methods for text preprocessing and classification T Gasanova – 2015 – oparu.uni-ulm.de … 87 2.17 Co-Operation of Biology Related Algorithms (COBRA) . . . . 89 3.1 Overview of Spoken Dialogue Systems . . . . . 105 4.1 Common diagramm of text preprocessing and text classification . . . . . … Related articles All 3 versions