LSA (Latent Semantic Analysis) & Dialog Systems 2014


Latent Semantic Analysis

See also:

Grammatico-Semantic Analysis | Latent Semantic & Dialog Systems 2011 | LSI (Latent Semantic Indexing) & Dialog Systems | LSM (Latent Semantic Mapping) | MultiNet (Multilayered Extended Semantic Networks) | PLSA (Probabilistic Latent Semantic Analysis) & Dialog Systems | Question Semantic Representation (QSR) | Semantic Grammars & Dialog Systems | Semantic Networks & Dialog Systems | Semantic Tags & Dialog Systems | Semantic Web Reasoning | SemanticQA


Biomedical text mining: State-of-the-art, open problems and future challenges A Holzinger, J Schantl, M Schroettner, C Seifert… – … Discovery and Data …, 2014 – Springer … latent semantic analysis to accurately extract clinical concepts from psychiatric narrative. Journal of Biomedical Informatics 41(6), 1070–1087 (2008) CrossRef; Yeh, JF, Wu, CH, Chen, MJ: Ontology-based speech act identification in a bilingual dialog system using partial pattern … Cited by 6 Related articles All 5 versions

Latent Semantic Analysis for Multimodal User Input With Speech and Gestures PY Hui, H Meng – Audio, Speech, and Language Processing, …, 2014 – ieeexplore.ieee.org … ABSTRACT This paper describes our work in semantic interpretation of a “multimodal language” with speech and gestures using latent semantic analysis (LSA). … Latent Semantic Analysis for Multimodal User Input with Speech and Gestures … Cited by 1 Related articles All 6 versions

Large vocabulary Russian speech recognition using syntactico-statistical language modeling A Karpov, K Markov, I Kipyatkova, D Vazhenina… – Speech …, 2014 – Elsevier … Syntactically enhanced latent semantic analysis (SELSA) has been investigated in Kanejiya et al. … and Nasr, 2009), a syntactic parser for spontaneous speech recognition outputs is used for identification of verbal sub-categorization frames for dialogue systems and spoken … Cited by 14 Related articles All 4 versions

Heterogeneous networks and their applications: Scientometrics, name disambiguation, and topic modeling B King, R Jha, DR Radev – Transactions of the …, 2014 – tacl2013.cs.columbia.edu … to solve the same problem as statistical topic models such as proba- bilistic latent semantic analysis (pLSA) (Hofmann, 1999 … MaxEnt models entropy maximum approach based attachment model models phrase prepositional disambiguation Dialogue systems dialogue spoken … Cited by 1 Related articles All 12 versions

Training a statistical surface realiser from automatic slot labelling H Cuayáhuitl, N Dethlefs, H Hastie, X Liu – 2014 – macs.hw.ac.uk … Our scenario is surface realisation of known and unknown dialogue acts within a spoken dialogue system in the restau- rant domain. … where simLSA(xi,xj) is the Latent Semantic Analysis (LSA) between clauses, D(xi,xj) is the minimal path dis- tance between terms within clauses … Cited by 1 Related articles All 2 versions

A Semi-Supervised Clustering Approach for Semantic Slot Labelling H Cuayáhuitl, N Dethlefs, H Hastie – 2014 – macs.hw.ac.uk … where simLSA(xi,xj) is the Latent Semantic Analysis (LSA) between clauses, D(xi,xj) is the minimal path distance be- tween terms within clauses … classifiers using the method described above; an (5) perform an extrinsic evaluation with an end-to-end spoken dialogue system [34 … Cited by 1 Related articles All 2 versions

Dynamically supporting unexplored domains in conversational interactions by enriching semantics with neural word embeddings YN Chen, AI Rudnicky – Proceedings of SLT, 2014 – researchgate.net … Yang Wang, and Alexander I Rud- nicky, “Unsupervised induction and filling of semantic slots for spoken dialogue systems using frame … Susan T Dumais, Thomas K. Landauer, George W. Furnas, and Richard A. Harshman, “Indexing by latent semantic analysis,” JASIS, vol. … Cited by 2

Exploiting Psychological Factors for Interaction Style Recognition in Spoken Conversation WL Wei, CH Wu, JC Lin, H Li – Audio, Speech, and Language …, 2014 – ieeexplore.ieee.org … I. INTRODUCTION N today’s world, the human-computer interface plays a key role in daily life. Numerous researchers are committed to creating a dialogue system that can improve the ability of the computer to understand human intentions and thus respond appropriately. … Cited by 2 Related articles All 2 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 – elsemantico.com Page 1. Informatica XX (2014) xxx–yyy XXX Call Routing based on a combination of the Construction-Integration model and Latent Semantic Analysis: a full system Guillermo Jorge-Botana1,3, Ricardo Olmos2,3 and Alejandro … Related articles All 4 versions

Issues Regarding the Use of Natural Language Discourse In Intelligent Tutoring Systems PI Pavlik Jr, X Hu, DM Morrison – Design Recommendations for …, 2014 – books.google.com … continues with work by Morrison, Nye, and Hu (chapter 19) that introduces some tech- nical concerns in dialogue systems centered on the … eg, true attempts by the student to provide an expected explanation) are further graded by using Latent Semantic Analysis or regular … Related articles All 6 versions

Leveraging Frame Semantics and Distributional Semantics for Unsupervised Semantic Slot Induction in Spoken Dialogue Systems YN Chen, WY Wang, AI Rudnicky – cs.cmu.edu … the corpus is about restaurant rec- ommendation in Cambridge; subjects were asked to interact with multiple spoken dialogue systems, in an … Susan T Dumais, Thomas K. Landauer, George W. Furnas, and Richard A. Harshman, “Indexing by latent semantic analysis,” JASIS, vol. … Cited by 4 Related articles All 3 versions

Task Estimation Using Latent Semantic Analysis of Visual Scenes and Spoken Words M Kimura, S Sawada, Y Iribe… – Electronics and …, 2014 – Wiley Online Library … Research Article. Task Estimation Using Latent Semantic Analysis of Visual Scenes and Spoken Words. … 2.2 Latent semantic analysis. A corpus of task vectors can be represented by a task term matrix, with the terms and task vectors being the rows and columns, respectively. … Related articles All 3 versions

TSVD as a Statistical Estimator in the Latent Semantic Analysis Paradigm G Pilato, G Vassallo – 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 1 Related articles All 6 versions

Toward a Polish Intelligent Virtual Tutor: An Overview Of Existing Work I Truck, M Durand, M Watorek – … in Decision and Control, page to …, 2014 – World Scientific … It consists of a dialogue system planning implemented in Prolog for the tutor’s movements, a rule- based tagging, an expert model to compare given and expected answers Page 5. 476 by latent semantic analysis, and an interface with a talking head (speech synthesis) with … Related articles

Bielefeld SC: Orthonormal Topic Modelling for Grammar Induction JP McCrae, P Cimiano – SemEval 2014, 2014 – anthology.aclweb.org … 1 Introduction Grammar induction is the task of inducing high- level rules for application of grammars in spoken dialogue systems. … 1990. Indexing by latent semantic analysis. JASIS, 41 (6): 391–407. Evgeniy Gabrilovich and Shaul Markovitch. 2007. … Related articles All 6 versions

SAIL-GRS: Grammar Induction for Spoken Dialogue Systems using CF-IRF Rule Similarity K Zervanou, N Malandrakis, S Narayanan – SemEval 2014, 2014 – aclweb.org … In Proceedings of the Fifth IJCAI Workshop on Knowledge and Reasoning in Practical Dialogue Systems, pages 22–27. Yihong Gong and Xin Liu. 2001. Generic text summa- rization using relevance measure and latent semantic analysis. … Related articles All 7 versions

A Survey of Intelligent Language Tutoring Systems MA Emran, K Shaalan – Advances in Computing, …, 2014 – ieeexplore.ieee.org … 1. Latent Sematic Analysis Latent Semantic Analysis (LSA) is an NLP technique that measures the similarity between any two fragments of text (a word … 6. Beetle II System Beetle II system is a tutorial dialogue system that has been implemented to accept input from the learner … Related articles All 2 versions

Efficient Language Model Construction for Spoken Dialog Systems by Inducting Language Resources of Different Languages T Misu, S Matsuda, E Mizukami, H Kashioka… – Natural Interaction with …, 2014 – Springer … translation systems for language portability of dialogue systems. In: Proceedings of Inter- national Conference on Acoustics, Speech and Signal Processing (ICASSP), pp. 5612–5615 (2011) 10. Kim, W., Khudanpur, S.: Lexical triggers and latent semantic analysis for cross … Related articles All 3 versions

AutoTutor and Family: A Review of 17 Years of Natural Language Tutoring BD Nye, AC Graesser, X Hu – … Journal of Artificial Intelligence in Education, 2014 – Springer … Indexing by latent semantic analysis. Journal of the American Society for Information Science, 41(6), 391–407. CrossRef; Dehn, DM, & Van Mulken, S. (2000). … Using a domain-independent reactive planner to implement a medical dialogue system. … Related articles

SAWDUST: a Semi-Automated Wizard Dialogue Utterance Selection Tool for domain-independent large-domain dialogue S Gandhe, D Traum – 15th Annual Meeting of the Special …, 2014 – anthology.aclweb.org … First is the traditional Wizard- of-Oz dialogue collection, where a wizard inter- acts with a user of the dialogue system. … 2008. Using random in- dexing to improve singular value decomposition for latent semantic analysis. In Proceedings of LREC’08, Morocco. … Related articles All 7 versions

Towards Assessing Students’ Prior Knowledge From Tutorial Dialogues D Stefanescu, V Rus, AC Graesser – educationaldatamining.org … Also, their work was in the context of a spoken dialogue system, while ours focuses on a text/chat-based conversational ITS. … Latent Semantic Analysis Models on Wikipedia and TASA, LREC [20] Taraban, R., and Rynearson, K. (1998). … Cited by 1 Related articles

Toward Adaptive Unsupervised Dialogue Act Classification in Tutoring by Gender and Self-Efficacy A Ezen-Can, KE Boyer – strategies – research.csc.ncsu.edu … Unsupervised Spoken Language Understanding for a Multi- Domain Dialog System. IEEE Transactions On Audio, Speech, and Language Processing. 21, 11, 2451–2464. … FLSA: Extending Latent Semantic Analysis With Features For Dialogue Act Classification. … Cited by 2 Related articles All 2 versions

Computational Discourse Analysis M Dascalu – Analyzing Discourse and Text Complexity for Learning …, 2014 – Springer … 2010); 3/ lexically or semantically related words obtained from semantic distances in ontologies (Budanitsky and Hirst 2006) (see 4.3.1 Semantic Distances and Lexical Chains), cosine similarity in vector spaces from Latent Semantic Analysis (Landauer et al. … Related articles

Semi-supervised learning of dialogue acts using sentence similarity based on word embeddings X Yang, J Liu, Z Chen, W Wu – Audio, Language and Image …, 2014 – ieeexplore.ieee.org … An important task in spoken dialog systems is dialog act modeling which determines the dialogue acts of users’ utterances since they … long texts in which word occurrence or co- occurrence can be an important statistical information, thus Latent Semantic Analysis (LSA) method … Related articles

A Hybrid Language Understanding Approach for Robust Selection of Tutoring Goals R Srivastava, K VanLehn – cs.cmu.edu … 2001. Initiative management for tutorial dialogue. In Proceedings of the NAACL Workshop Adaption in Dialogue Systems. 5] MS Glass. 1999. … 1998. Introduction to latent semantic analysis. To Appear in Discourse Processes. 9] Andrew Kachites McCallum. 1996. … Related articles All 2 versions

Chatbots as Interface to Ontologies A Augello, G Pilato, G Vassallo, S Gaglio – Advances onto the Internet of …, 2014 – Springer … Even if the simple technology allows to easily implement a dialogue system, the obtained conversation is limited by pattern matching rules on which … We believe that this intuitive-associative capability can be obtained using the LSA (Latent Semantic Analysis) methodology [20]. … Related articles All 3 versions

Performance of a trialogue-based prototype system for English language assessment for young learners K Evanini, Y So, J Tao, D Zapata-Rivera, C Luce… – wocci.org … 2See [12] for a description of a system that used different spoken dialogue system components to implement the same tasks. … in each dialog state was conducted using a hybrid approach consisting of both hand-crafted regular expressions and Latent Semantic Analysis (LSA) [16 … Related articles

Form-based Dialogue Structure for Task-oriented Conversations A Chotimongkol, AI Rudnicky – simulation – cs.cmu.edu … [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

Latent semantic rational kernels for topic spotting on conversational speech C Weng, DL Thomson, P Haffner… – IEEE/ACM Transactions on …, 2014 – dl.acm.org … framework to boost the topic spotting performance. We present how to generalize the LSRK using tf-idf weighting, latent semantic analysis, WordNet and probabilistic topic models. To validate the proposed LSRK framework, we … Related articles All 2 versions

Combining Task and Dialogue Streams in Unsupervised Dialogue Act Models A Ezen-Can, KE Boyer – 15th Annual Meeting of the Special Interest …, 2014 – aclweb.org … This work constitutes a step toward building high-performing unsupervised dialogue act models that will be used in the next generation of task-oriented dialogue systems. 1 Introduction Dialogue acts represent the underlying … Cited by 2 Related articles All 7 versions

Questions, pictures, answers M Theune, B van Schooten, R Op den Akker, W Bosma… – pure.uvt.nl … Enabling the user to give feedback on her information need is one of the purposes of our dialogue system. … figure indicate the similarity between the query (on the left) and the scopes of the images in the corpus (on the right), computed using Latent Semantic Analysis (see below … Related articles

Domain Cartridge: Unsupervised Framework for Shallow Domain Ontology Construction from Corpus S Mukherjee, J Ajmera, S Joshi – Proceedings of the 23rd ACM …, 2014 – dl.acm.org … relations can be used for query expan- sion (eg by considering Synonyms along with the original query), interactive dialogue systems (eg for … Random Indexing can also be seen as an alternative to Latent Semantic Analysis [9]. Random Indexing is more scalable and al- lows for … Related articles All 4 versions

Natural Language, Discourse, and Conversational Dialogues within Intelligent Tutoring Systems: A Review K Brawner, A Graesser – Design Recommendations for Intelligent …, 2014 – books.google.com … Using latent semantic analysis to evaluate the contributions of students in AutoTutor. Interactive Learning Environments, 8 (2), 129-147. Haddad, WD (1978). … Paper presented at the Building Dialogue Systems for Tutorial Applications, Papers of the 2000 AAAI Fall Symposium. … Related articles All 6 versions

Automatic dialogue act recognition with syntactic features P Král, C Cerisara – Language Resources and Evaluation, 2014 – Springer … 2006 ) and C-STAR (Blanchon and Boitet 2000 ) machine translation and dialogue systems that rely on dialogue act classification. … 2006 ), latent semantic analysis (Serafin and Di Eugenio 2004 ), hidden backoff models (Bilmes 2005 ), maximum entropy models (Ang et al. … Related articles All 4 versions

Semantic Language Models For Automatic Speech Recognition AO Bayer, G Riccardi – sisl.disi.unitn.it … The most notable use of seman- tics in LM is the latent semantic analysis work in [2] and the recognition for understanding LM … M., and R. De-Mori, “Cache neural network language models based on long-distance dependencies for a spoken dialog system,” in Proceedings of … Related articles All 2 versions

Sentence Similarity Based on Semantic Vector Model Z Jingling, Z Huiyun, C Baojiang – P2P, Parallel, Grid, Cloud …, 2014 – ieeexplore.ieee.org … Abstract—Sentence similarity measures play an increasingly important role in text-related research and applications in areas such as text mining, Web page retrieval, and dialogue systems. … A Comparison of Latent Semantic Analysis and Humans,” Proc. 19th Ann. …

Metaphor detection with cross-lingual model transfer YTLBA Gershman, ENC Dyer – Proceedings of the Annual Meeting of …, 2014 – cs.cmu.edu … tion, machine translation, dialog systems, senti- ment analysis, and text analytics, etc.) would have access to a potentially useful high … constructed by Faruqui and Dyer (2014).14 Vector construction algorithm is a variation on traditional latent semantic analysis (Deerwester et al … Cited by 1 Related articles All 10 versions

Automatic Dialogue Act Recognition with Syntactic Features P Král, C Cerisara – textmining.zcu.cz … Page 3. Automatic Dialogue Act Recognition with Syntactic Features 3 Dialogue acts represent useful and relevant information for many applica- tions, such as dialogue systems, machine translation, automatic speech recog- nition, topic tracking [12] or talking head animation. … Related articles All 3 versions

An attribute detection based approach to automatic speech processing SM Siniscalchi, CH Lee – Loquens, 2014 – loquens.revistas.csic.es … This number, often referred to as a CM, serves as a reference guide for the dialogue system to provide an appropriate response to its users, just as an … First, a vector representation of the spoken document is obtained using latent semantic analysis (LSA) (Bellegarda, 2000). … Related articles

Methodologies for Conversational System Development T Nishida, A Nakazawa, Y Ohmoto… – Conversational …, 2014 – Springer … are rarely available. To overcome some of these difficulties, one may employ a similarity-based method based on latent semantic analysis to build a dialogue system without explicit semantic representation. Such a system may … Related articles All 3 versions

Bringing machine learning and compositional semantics together P Liang, C Potts – Annual Reviews of Linguistics (submitted), 0, 2014 – stanford.edu Page 1. Bringing machine learning and compositional semantics together Percy Liang and Christopher Potts Abstract Computational semantics has long been seen as a field divided between logical and statistical approaches … Cited by 5 Related articles All 2 versions

Unsegmented Dialogue Act Annotation and Decoding with N-Gram Transducers C Martinez-Hinarejos, J Benedi, V Tamarit – 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

A comparative study of evolving fuzzy grammar and machine learning techniques for text categorization NM Sharef, T Martin, KA Kasmiran, A Mustapha… – Soft Computing, 2014 – Springer … It has been utilized in many applications, such as dialogue systems, named entity recognition, information retrieval, and text … A shallow semantic understanding was provided by the latent semantic analysis method (Salton and Buckley 1988), automated sentence boundary and … Related articles

Psychomime Classification Using Similarity Measures and Fuzzy c-Means Y Kurosawa, T Takezawa, TD Pham – Biomedical Informatics and …, 2014 – Springer Page 1. TD Pham et al. (Eds.): ACBIT 2013, CCIS 404, pp. 194–206, 2014. © Springer-Verlag Berlin Heidelberg 2014 Psychomime Classification Using Similarity Measures and Fuzzy c-Means Yoshiaki Kurosawa1,*, Toshiyuki Takezawa1, and Tuan D. Pham2 … Related articles All 2 versions

Interpreting Natural Language Instructions Using Language, Vision, and Behavior L Benotti, T Lau, M Villalba – ACM Transactions on Interactive Intelligent …, 2014 – dl.acm.org … interaction. Moreover, the utterances in the corpora are quite short, with only five words on average; therefore, we believe that methods such as latent semantic analysis would not have an impact on overall performance. When … Cited by 1 Related articles

An artificial neural network approach to automatic speech processing SM Siniscalchi, T Svendsen, CH Lee – Neurocomputing, 2014 – Elsevier An artificial neural network (ANN) is a powerful mathematical framework used to either model complex relationships between inputs and outputs or find patterns i. Cited by 3 Related articles All 4 versions

Automatic scoring for answers to Arabic test questions WH Gomaa, AA Fahmy – Computer Speech & Language, 2014 – Elsevier … It has been used in the tutorial dialog system Why2-Atlas (VanLehn et al., 2002). … There are many corpus-based similarity techniques, such as Latent Semantic Analysis (LSA) (Landauer and Dumais, 1997), Explicit Semantic Analysis (ESA) (Gabrilovich and Markovitch, 2007 … Cited by 2 Related articles All 2 versions

Summer Internship Report O Kilic – cis.temple.edu … conversation logs via dialog systems (Artz and Zettlemoyer, 2011), and visual sensors (Matuszek et al., 2012) to approximate the best parsing. … in the summary. • Similarity: Employ a semantic similarity method (Latent semantic analysis or a knowledge base) … Related articles

BEETLE II: Deep Natural Language Understanding and Automatic Feedback Generation for Intelligent Tutoring in Basic Electricity and Electronics M Dzikovska, N Steinhauser, E Farrow, J Moore… – International Journal of …, 2014 – Springer … Student input is matched against those expectations using latent semantic analysis. … aims was to investigate whether we can effectively handle more complex language by using a domain adaptation technique originally devel- oped for task-oriented spoken dialogue systems. … Related articles All 4 versions

Agile Facilitation for Collaborative Learning D Adamson – 2014 – cs.cmu.edu … In the context of a single-user conversational tutor, a set of conversational features, including measures of the quality and content of student answers as derived from Latent Semantic Analysis [48], have been successfully applied to predict the moment-to-moment affect of the … Related articles All 2 versions

Identifying relevant cues for uncertainty in dialogue T Schrank, B Schuppler – spsc.tugraz.at … to perform this task. As humans make use of such paralinguistic information quite heavily to shape communication, computer systems such as dialogue systems are likely to benefit from its use as well. This thesis provides an … Related articles

Artificial Conversations for Chatter Bots Using Knowledge Representation, Learning, and Pragmatics C Chakrabarti – 2014 – repository.unm.edu … 22 2.2 The Syntactic Approach . . . . . 26 2.3 The Semantic Approach . . . . . 27 2.4 Dialogue systems . . . . . 27 viii Page 9. Contents 2.5 Limitations of existing approaches . . . . . 29 … Related articles All 7 versions

[BOOK] Conversational Informatics: A Data-Intensive Approach with Emphasis on Nonverbal Communication T Nishida, A Nakazawa, Y Ohmoto, Y Mohammad – 2014 – books.google.com … For sure, this text book will become an inspiring resource for students, teachers, and researchers that wish to go beyond traditional dialog systems and investigate the power and potential of social signals in human–computer interaction. Prof. … Cited by 6 Related articles All 3 versions

JURIX2013-DoCoPe Doctoral Consortium and Poster Sessions M Palmirani, G Sartor – Citeseer … the opinion. Following on from the analysis, a dialogue system will be defined to capture the moves made during the hearings. This dialogue system will be validated through application to selected cases in various courts. It … Related articles

Foundations and Trends in Signal Processing L Deng, Y Dong – Signal Processing, 2014 – research.microsoft.com Page 1. the essence of knowledge FnT SIG 7:3-4 Deep Learning; Methods and Applications Li Deng and Dong Y u Foundations and Trends® in Signal Processing 7:3-4 Deep Learning Methods and Applications Li Deng and Dong Yu now now Page 2. 7.1. … Cited by 1 Related articles All 8 versions

Scaffolding Made Visible AM Olney – Design Recommendations for Intelligent Tutoring …, 2014 – books.google.com … com/doi/pdf/10.1207/s15327809jls1303_6 Person, NK & Graesser, AC (2003). Fourteen facts about human tutoring: Food for thought for ITS developers. In AIED 2003 Workshop Proceedings on Tutorial Dialogue Systems: With a view toward the classroom (pp. 335-344). … Related articles All 6 versions

Automatically generating reading lists JG Jardine – … of Cambridge, Computer Laboratory, Technical Report, 2014 – cl.cam.ac.uk Page 1. Technical Report Number 848 Computer Laboratory UCAM-CL-TR-848 ISSN 1476-2986 Automatically generating reading lists James G. Jardine February 2014 15 JJ Thomson Avenue Cambridge CB3 0FD United Kingdom phone +44 1223 763500 … Related articles All 3 versions

Towards Modeling Collaborative Task Oriented Multimodal Human-human Dialogues L Chen – 2014 – indigo.uic.edu … tial multimodal dialogue systems. SmartKom was a mixed-initiative dialogue system with … tures from acoustics, and showed that prosodic cues can improve dialogue classification. (Di Eugenio et al., 2010) extended Latent Semantic Analysis (LSA) to Feature Latent Se- … All 2 versions

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