Dialog Act Recognition 2015


Notes:

Formally, a slot is a binary relation, and each value V of an own slot S of a frame F represents the assertion that the relation S holds for the entity represented by F and the entity represented by V (i.e., (S F V)).

Knowledge graph = ontology

  • Dialog act classification (Dialogue act classification)
  • Dialog act detection (Dialogue act detection)
  • Dialog act recognition (Dialogue act recognition)
  • Dialog acts classification (Dialogue acts classification)
  • Dialog acts detection (Dialogue acts detection)
  • Dialog acts recognition (Dialogue acts recognition)

Resources:

Wikipedia:

See also:

Dialog Act & Dialog Systems 2015 | Dialog Act Recognition 2014 | N-gram Transducers (NGT) | Speech Act & Dialog Systems 2015


Understanding student language: An unsupervised dialogue act classification approach A Ezen-Can, KE Boyer – JEDM-Journal of Educational …, 2015 – educationaldatamining.org Abstract Within the landscape of educational data, textual natural language is an increasingly vast source of learning-centered interactions. In natural language dialogue, student contributions hold important information about knowledge and goals. … Cited by 4 Related articles All 7 versions

Combining heterogeneous deep neural networks with conditional random fields for Chinese dialogue act recognition Y Zhou, Q Hu, J Liu, Y Jia – Neurocomputing, 2015 – Elsevier Abstract Dialogue act (DA) recognition is a fundamental step for computers to understand natural-language dialogues because it can reflect the intention of a speaker. However, it is difficult to adapt traditional machine learning models to the dialogue act recognition task … Cited by 5 Related articles All 3 versions

The Influence of Context on Dialogue Act Recognition E Ribeiro, R Ribeiro, DM de Matos – arXiv preprint arXiv:1506.00839, 2015 – arxiv.org Abstract: This article presents a deep analysis of the influence of context information on dialogue act recognition. We performed experiments on the annotated subsets of three different corpora: the widely explored Switchboard Dialog Act Corpus, as well as the … Cited by 3 Related articles All 4 versions

A tutorial dialogue system for real-time evaluation of unsupervised dialogue act classifiers: exploring system outcomes A Ezen-Can, KE Boyer – … Conference on Artificial Intelligence in Education, 2015 – Springer … Department of Computer Science, North Carolina State University, Raleigh, USA {aezen,keboyer}@ncsu.edu Abstract. Dialogue act classification is an important step in under- standing students’ utterances within tutorial dialogue systems. … Cited by 3 Related articles All 3 versions

Unsupervised modeling for understanding MOOC discussion forums: a learning analytics approach A Ezen-Can, KE Boyer, S Kellogg, S Booth – Proceedings of the fifth …, 2015 – dl.acm.org … capabilities [21]. This paper brings together an unsupervised dialogue act classification framework with MOOC modeling approaches, with the primary goal of gaining insights about the struc- ture of forum posts in a MOOC. We … Cited by 16 Related articles All 3 versions

Arabic Inquiry-Answer Dialogue Acts Annotation Schema ARA Elmadany, SM Abdou, M Gheith – arXiv preprint arXiv:1505.04197, 2015 – arxiv.org … Johns Hopkins University, Baltimore, 1998. [13]. N. Webb, “Cue-Based Dialogue Act Classification,” Ph.D. dissertation, Department of Computer Science, University of Sheffield, England, 2010. [14]. E. Shriberg, R. Dhillon, S … Cited by 5 Related articles All 8 versions

Recent Approaches to Arabic Dialogue Acts Classifications AA Elmadany, SM Abdou, M Gheith – 4th International Conferences …, 2015 – academia.edu … Building Arabic dialogue systems (Spoken or Written) has gained an increasing interest in the last few. For this reasons, there are more interest for Arabic dialogue acts classification task because it a key player in Arabic language understanding to building this systems. … Cited by 2 Related articles All 3 versions

Classifying student dialogue acts with multimodal learning analytics A Ezen-Can, JF Grafsgaard, JC Lester… – Proceedings of the Fifth …, 2015 – dl.acm.org … These dialogue acts have been shown to be correlated with learning [42]. For example, “[the task] just means to assign the name right?” and “spaces or no spaces?” are both questions, and the goal of dialogue act classification is to automatically detect their types. … Cited by 4 Related articles All 6 versions

New feature weighting approaches for speech-act classification Y Ko – Pattern Recognition Letters, 2015 – Elsevier Speech-act classification is essential to generation and understanding of utterances within a natural language dialogue system since the speech-act of an uttera. Cited by 3 Related articles All 6 versions

Automatic dialogue acts classification in Slovak dialogues M Pleva, S Ondáš, J Juhár – … RADIOELEKTRONIKA), 2015 25th …, 2015 – ieeexplore.ieee.org Abstract—Dialogue acts classification plays an important role in advanced dialogue management systems. They represent intention of the dialogue participant in the particular part of the dialogue interaction. Dialogue act classification lies in the classification of the … Cited by 2 Related articles

Learning knowledge graphs for question answering through conversational dialog B Hixon, P Clark, H Hajishirzi – Proceedings of the the 2015 Conference …, 2015 – aclweb.org … knowledge graph (Hakkani-Tur et al., 2014). Dependency relations extracted from individual dialog utterances by a parser also make effective features for dialog act classification (Klüwer et al., 2010). The work closest to our own … Cited by 13 Related articles All 8 versions

A survey of available corpora for building data-driven dialogue systems IV Serban, R Lowe, L Charlin, J Pineau – arXiv preprint arXiv:1512.05742, 2015 – arxiv.org … dialogue systems. We discuss various data pre-processing issues, such as spelling correction and speaker segmentation, discriminative model architectures, such as dialogue act classification, and response generation models. In … Cited by 8 Related articles All 2 versions

Distance-based dialog acts labeling S Ondáš, J Juhár – … , 2015 6th IEEE International Conference on, 2015 – ieeexplore.ieee.org … Automatic dialog act recognition can make human-computer dialogue interaction more natural and effective. Dialogue act recognition is a language-dependent technology and resources in desired language are required in … Cited by 2 Related articles

Matrix factorization with knowledge graph propagation for unsupervised spoken language understanding YN Chen, WY Wang, A Gershman… – Proceedings of ACL- …, 2015 – aclweb.org Page 1. Proceedings of the 53rd Annual Meeting of the Association for Computational Linguistics and the 7th International Joint Conference on Natural Language Processing, pages 483–494, Beijing, China, July 26-31, 2015. cO2015 Association for Computational Linguistics … Cited by 17 Related articles All 16 versions

Jointly modeling inter-slot relations by random walk on knowledge graphs for unsupervised spoken language understanding YN Chen, WY Wang… – Proceedings of NAACL- …, 2015 – pdfs.semanticscholar.org Page 1. Jointly Modeling Inter-Slot Relations by Random Walk on Knowledge Graphs for Unsupervised Spoken Language Understanding Yun-Nung Chen, William Yang Wang, and Alexander I. Rudnicky School of Computer … Cited by 10 Related articles All 13 versions

Online speech-driven head motion generating system and evaluation on a tele-operated robot K Sakai, CT Ishi, T Minato… – Robot and Human …, 2015 – ieeexplore.ieee.org … This delay is necessary to account for speech recognition, dialogue act detection, and robot actuation la- tencies. … Our developed tele-robotic communication system has an intrinsic delay due to speech recognition, dialogue act detection, and robot actuation latencies. … Cited by 3 Related articles

Towards the generation of dialogue acts in socio-affective ECAs: a corpus-based prosodic analysis R Bawden, C Clavel, F Landragin – Language Resources and Evaluation, 2015 – Springer … situations. The majority of studies identifying the prosodic correlates of dialogue focus on the improvement of automatic dialogue act classification and not on the study of prosody for dialogue generation, as is our aim here. Nevertheless … Cited by 1 Related articles

The roles and recognition of haptic-ostensive actions in collaborative multimodal human–human dialogues L Chen, M Javaid, B Di Eugenio, M Žefran – Computer Speech & Language, 2015 – Elsevier … Multiple annotations were then conducted to build the Find corpus. Supervised machine learning was applied to these annotations in order to develop reference resolution and dialogue act classification modules. … 2.2. Multimodal dialogue act recognition. … Cited by 3 Related articles All 9 versions

A Survey of Arabic Dialogues Understanding for Spontaneous Dialogues and Instant Message ARA Elmadany, SM Abdou, M Gheith – arXiv preprint arXiv:1505.03084, 2015 – arxiv.org … For this reasons, there are more interest for Arabic dialogue acts classification task because it a key player in Arabic language understanding to building this systems. This paper surveys different techniques for dialogue acts classification for Arabic. … Cited by 2 Related articles All 6 versions

From distributional semantics to distributional pragmatics M Purver, M Sadrzadeh – … of the IWCS 2015 Workshop on …, 2015 – iwcs2015.github.io … with their ability to represent distributions over both utterance mean- ings and contexts, have shown more success in practical applications such as human-computer dialogue systems; for one thing, recent approaches circumvent the need for dialogue act recognition, instead us … Cited by 1 Related articles All 3 versions

Automated Labelling of Dialogue Modes In Tutorial Dialogues. V Rus, NB Niraula, N Maharjan… – FLAIRS …, 2015 – pdfs.semanticscholar.org … The results reported are very close to human experts. The rest of the paper is organized as in the followings. The next section presents related work on dialogue act classification and dialogue mode discovery in tutorial dialogues. … Cited by 1 Related articles All 2 versions

Micro-counseling dialog system based on semantic content S Han, Y Kim, GG Lee – Natural Language Dialog Systems and Intelligent …, 2015 – Springer … We first tested the performance of dialog act detection and semantic content extraction modules. … Our experiment achieved >89 % statement dialog act detection performance and >95 % semantic content extraction performance as shown in Table 6.6. Page 9. … Cited by 1 Related articles All 5 versions

JANA: An Arabic human-human dialogues corpus ARA Elmadany, SM Abdou… – Recent Trends in …, 2015 – ieeexplore.ieee.org … I. INTRODUCTION Knowing the user needs is considered the most important part and the difficult part to build a better human-computer system; this process is Nnown in a dialogue system as language understanding or somewhere dialogue act classification. … Cited by 1 Related articles

Automatic identification of rhetorical questions S Bhattasali, E Feldman – Volume 2: Short Papers, 2015 – aclweb.org … Our work extends these approaches to dialog act classification by exploring additional features which are specific to rhetorical question identifi- cation, such as context n-grams. … Dialogue act classification using a Bayesian approach In 9th Conference Speech and Computer. … Cited by 1 Related articles All 11 versions

Discourse-centric learning analytics: mapping the terrain S Knight, K Littleton – Journal of Learning Analytics, 2015 – oro.open.ac.uk Page 1. Open Research Online The Open University’s repository of research publications and other research outputs Discourse-centric learning analytics: mapping the ter- rain Journal Article How to cite: Knight, Simon and Littleton, Karen (2015). … Cited by 8 Related articles

Turn Segmentation into Utterances for Arabic Spontaneous Dialogues and Instance Messages ARA Elmadany, SM Abdou, M Gheith – arXiv preprint arXiv:1505.03081, 2015 – arxiv.org … So, dialogue language understanding is growing and considering the important issues today for facilitating the process of dialogue acts classification; consequently segment the long dialogue turn into meaningful units namely utterances are increasing. … Cited by 1 Related articles All 6 versions

Introduction for speech and language for interactive robots H Cuayáhuitl, K Komatani, G Skantze – Computer Speech & Language, 2015 – Elsevier … spatial environment. The authors collect and analyse human–human dialogues in the home domain including haptic (force) actions, and train supervised models for reference resolution and dialogue act recognition. Additional … Cited by 1 Related articles All 5 versions

Learning trading negotiations using manually and automatically labelled data H Cuayáhuitl, S Keizer, O Lemon – Tools with Artificial …, 2015 – ieeexplore.ieee.org Page 1. Learning Trading Negotiations Using Manually and Automatically Labelled Data Heriberto Cuayáhuitl, Simon Keizer, Oliver Lemon School of Mathematical and Computer Sciences, Heriot-Watt University, United Kingdom {h.cuayahuitl|s.keizer|o.lemon}@hw.ac.uk … Cited by 1 Related articles All 3 versions

Influence of domain information on latent semantic analysis of hindi text K Krishnamurthi, VR Panuganti, VV Bulusu – researchgate.net … The work reported increased accuracy rates in classification. Serafin [8] suggested that an LSA semantic space can be built from the co-occurrence of arbitrary textual features which is used for dialogue act classification. Kanejiya … Cited by 1 Related articles

Prosodically-enhanced recurrent neural network language models SR Gangireddy, S Renals… – … Annual Conference of …, 2015 – homepages.inf.ed.ac.uk … Prosodic information has been successfully used for topic segmentation [1], disfluency detection [2], processing of multi party meetings [2], dialogue act classification [3], sentiment classification [4] and emotion recognition [5]. There have also been a number of attempts to … Cited by 3 Related articles All 5 versions

Learning Semantic Hierarchy with Distributed Representations for Unsupervised Spoken Language Understanding YN Chen, WY Wang, AI Rudnicky – Sixteenth Annual Conference of the …, 2015 – cs.cmu.edu … Department, Tech. Rep., 2007. [30] Y.-N. Chen, WY Wang, and AI Rudnicky, “An empiri- cal investigation of sparse log-linear models for improved dialogue act classification,” in Proceedings of ICASSP, 2013, pp. 8317–8321. [31 … Cited by 1 Related articles All 5 versions

Semantic Features for Dialogue Act Recognition P Král, L Lenc, C Cerisara – International Conference on Statistical …, 2015 – Springer Abstract Dialogue act recognition commonly relies on lexical, syntactic, prosodic and/or dialogue history based features. However, few approaches exploit semantic information. The main goal of this paper is thus to propose semantic features and integrate them into a … Related articles All 7 versions

Hierarchical Dialogue Act Classification in Online Tutoring Sessions BSVRB Nye, DM Morrison – educationaldatamining.org ABSTRACT As the corpora of online tutoring sessions grow by orders of magnitude, dialogue act classification can be used to capture increasingly fine-grained details about events during tutoring. In this paper, we apply machine learning to build models that can … Related articles All 2 versions

A Machine Learning Approach to Dialogue Act Classification in Human-Robot Conversations: Evaluation of dialogue act classification with the robot Furhat and an … N Olofsson, N Fakih – 2015 – diva-portal.org Abstract The interest in social robots has grown dramatically in the last decade. Several studies have investigated the potential markets for such robots and how to enhance their human-like abilities. Both of these subjects have been investigated in this thesis using the … Related articles

Dialogue Act Recognition for Text-based Sinhala S Palihakkara, D Sahabandu, A Shamsudeen… – ltrc.iiit.ac.in 1 Abstract This paper discusses the application of classical machine learning approaches to the task of Dialogue Act Recognition for text-based Sinhala. A study was carried out to identify a dialogue act tag set for Sinhala. A new corpus using Sinhala subtitles for English … Related articles

Improved multi-kernel SVM for multi-modal and imbalanced dialogue act classification Y Zhou, X Cui, Q Hu, Y Jia – 2015 International Joint …, 2015 – ieeexplore.ieee.org Abstract-Dialogue act recognition is recognized as an important step for computers to understand human dialogues as it is closely related to the human intention. There are two main challenges in dialogue act recognition. Firstly, multimodal features should be taken … Cited by 1 Related articles

Automatic dialogue act annotation within Arabic debates SB Dbabis, H Ghorbel, LH Belguith, M Kallel – International Conference on …, 2015 – Springer … 16]. [17] explore the predictive power of dialogue context on Dialogue Act classification. They … request. Cue phrases: the most common key words or expressions can serve as useful indica- tors of Dialogue Acts recognition. These … Related articles All 2 versions

Towards Understanding Egyptian Arabic Dialogues ARA Elmadany, SM Abdou, M Gheith – arXiv preprint arXiv:1509.03208, 2015 – arxiv.org … Keywords Dialogue Act Classification, Arabic Dialogue Understanding, Egyptian Arabic Dialect, Arabic Instant Messages. … To the best of our knowledge, there are few works interested in Arabic dialogue acts classification such as [22] are used Naïve Bayes and Decision Trees. … Related articles All 10 versions

Unsegmented dialogue act annotation and decoding with n-gram transducers CD Martínez-Hinarejos, JM Benedí… – IEEE/ACM Transactions …, 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 … Related articles All 3 versions

A Model of Zero-Shot Learning of Spoken Language Understanding M Yazdani, J Henderson – aclweb.org … The multi-label classification problem of dialogue act recognition is addressed with a classifier that learns to build an utterance representation and a dialogue act representation, and decides whether or not they are compatible. … Related articles All 10 versions

Example-based dialog modeling for a mobile system T Cunha – researchgate.net … 6 Results The results of the proposed methodology can be divided into two steps. First we will present the dialog acts classification results. … 10. Louwerse, Max M.; Crossley, Scott A. Dialog Act Classification Using N-Gram Algorithms. In: FLAIRS Conference. 2006. p. 758-763. … Related articles

Automated Session-Quality Assessment for Human Tutoring Based on Expert Ratings of Tutoring Success. BD Nye, DM Morrison, B Samei – International Educational Data Mining …, 2015 – ERIC … Key techniques from this literature include dialog act classification [8], identifying dialog modes [1], and iden- tifying statistically significant sequence patterns [3]. Our research described here relies on the use of all three levels of analysis to identify significant features that can be … Related articles All 5 versions

Neural word embeddings with multiplicative feature interactions for tensor-based compositions JK Kim, MC de Marneffe… – Proceedings of NAACL- …, 2015 – anthology.aclweb.org … Dmitrijs Milajevs and Matthew Purver. Investigating the con- tribution of distributional semantic information for dialogue act classification. In Proceedings of the 2nd Workshop on Continuous Vector Space Models and their Compositional- ity (CVSC), pages 40–47, 2014. … Related articles All 7 versions

Capti-speak: a speech-enabled web screen reader V Ashok, Y Borodin, Y Puzis… – … of the 12th Web for All …, 2015 – dl.acm.org Page 1. Capti-Speak: A Speech-Enabled Web Screen Reader Vikas Ashok1, Yevgen Borodin2, Yury Puzis2, IV Ramakrishnan2 1Dept of Computer Science Stony Brook University Stony Brook, NY, USA 2Charmtech Labs LLC CEWIT, 1500 Stony Brook Rd. … Related articles

Configuration of dialogue agent with multiple knowledge sources R Jiang, RE Banchs, S Kim, LF D’Haro… – 2015 Asia-Pacific …, 2015 – ieeexplore.ieee.org … utterance into a formal SQL query. Further natural language processing must be performed. Hence parsing, POS tagging and dialogue act classification can be included for analysis purposes. 5) Develop some XML script or … Related articles All 2 versions

Using pressure sensors to identify manipulation actions during human physical interaction M Javaid, M Žefran, A Yavolovsky – Robot and Human …, 2015 – ieeexplore.ieee.org … Montréal, Canada, June 2012, pp. 523–527. [5] L. Chen and B. Di Eugenio, “Multimodality and Dialogue Act Classification in the RoboHelper Project,” in SIGDIAL, Metz, France, August 2013, pp. 183–192. [6] B. Di Eugenio, M … Related articles All 2 versions

Influence of Supplementary Information on the Semantic Structure of Documents K Krishnamurthi, VR Panuganti, VV Bulusu – ijarcce.com … The model was evaluated as a cognitive model. Serafin et al. [3] suggested that an LSA semantic space can be built from the co- occurrence of arbitrary textual features which can be used for dialogue act classification. Kanejiya et al. … Related articles All 2 versions

Understanding Engagement with Insurgents through Retweet Rhetoric J Nothman, A Ahmad, C Breidbach, D Malet… – Australasian … – anthology.aclweb.org … sympathetic Twitter accounts. This annotation is orthogonal to prior opinion mining work focused on sentiment or stance expressed in a debate, and suggests a parallel to dialogue act classification applied to retweeting. By exploring … Related articles All 9 versions

Towards Interpretation Strategies for Multimodal Instructional Analogies MD Chang, KD Forbus – pdfs.semanticscholar.org … We use information gained from analogical dialogue act detection, event interpretation, and glyph grouping to extract base and target information. Analogi- cal dialogue acts indicate that the city is part of the base domain and the cell is part of the target domain. … All 4 versions

[BOOK] Statistical Language and Speech Processing: Third International Conference, SLSP 2015, Budapest, Hungary, November 24-26, 2015, Proceedings AH Dediu, C Martín-Vide, K Vicsi – 2015 – books.google.com … in Russian…. Tatiana Kachkovskaia Automatic Detection of Voice Disorders….. Ferenc Kazinczi, Krisztina Mészáros, and Klára Vicsi Semantic Features for Dialogue Act Recognition….. Pavel Král, Ladislav …

Culture Clubs Processing Speech by Deriving and Exploiting Linguistic Subcultures DG Brizan – 2015 – gc.cuny.edu … 27 3.2.4 Dialogue Act Detection . . . . . … ing the effectiveness of this technique using four tasks: automatic speech recognition, disfluency detection, sentence segmentation and dialogue act detection. 1 Page 4. 2 Introduction … Related articles All 2 versions

Artificial conversations for customer service chatter bots: Architecture, algorithms, and evaluation metrics C Chakrabarti, GF Luger – Expert Systems with Applications, 2015 – Elsevier Chatter bots are software programs that engage in artificial conversations through a text-based input medium. They are extensively deployed in customer service. Cited by 2 Related articles All 5 versions

A diversity-promoting objective function for neural conversation models J Li, M Galley, C Brockett, J Gao, B Dolan – arXiv preprint arXiv: …, 2015 – arxiv.org Page 1. arXiv:1510.03055v1 [cs.CL] 11 Oct 2015 A Diversity-Promoting Objective Function for Neural Conversation Models Jiwei Li1? Michel Galley2 Chris Brockett2 Jianfeng Gao2 Bill Dolan2 1Stanford University, Stanford … Cited by 25 Related articles All 5 versions

Improving team’s consistency of understanding in meetings: intelligent agent participation and human subject studies J Kim – 2015 – dspace.mit.edu Page 1. Improving Team’s Consistency of Understanding in Meetings: Intelligent Agent Participation and Human Subject Studies by Joseph Kim BS, University of Illinois at Urbana-Champaign (2012) Submitted to the Department … Related articles

Towards Feasible Instructor Intervention in MOOC Discussion Forums M Chandrasekaran, K Ragupathi, MY Kan, B Tan – 2015 – aisel.aisnet.org … 525-552. Springer New York. Ezen-Can, A. and Boyer, KE 2015. “Understanding student language: An unsupervised dialogue act classification approach”. Journal of Educational Data Mining (JEDM), 7(1), pp. 51–78. Ghosh, A. and Kleinberg, J. 2013. … Cited by 1 Related articles All 18 versions

Social talk capabilities for dialogue systems T Klüwer – 2015 – universaar.uni-saarland.de … 69 4.4.1 Models of Social Talk in Conversational Agents . . 69 4.4.2 Dialogue Act Recognition . . . . . 71 4.4.3 Social Dialogue Acts . . . . . … 75 5.2 Dialogue Act Recognition . . . . . 75 5.2.1 Classification Features . . … Cited by 1 Related articles All 3 versions

Argumentation Logic as a Formal Foundation for Collective Intelligence Systems: a Roadmap A Zamansky – researchgate.net … Lévy, P. & Bonomo, R. 1999. Collective intelligence: Mankind’s emerging world in cyberspace, Perseus. Maryam, T. 2013. Dialogue act recognition in synchronous and asynchronous conversations. Modgil, S. 2009. Reasoning about preferences in argumentation frameworks. … Related articles

Spatio-Temporal Triangular-Chain CRF for Activity Recognition C Cao, Y Zhang, H Lu – Proceedings of the 23rd ACM international …, 2015 – dl.acm.org … For modeling se- quential data, [5] proposed TriCRFs shown in Figure 1, a unified probabilistic model jointly representing the sequence and meta-sequence labels. TriCRFs have been successfully used in named entity recognition and dialog act classification 1151 Page 2. … Cited by 2 Related articles

Analysis of Motion Patterns for Recognition of Human Activities M Janidarmian, A Roshan Fekr, K Radecka… – Proceedings of the 5th …, 2015 – dl.acm.org … Artificial Intelligence Research, pp. 263–286, 1995. [24] Y. Liu, “Using SVM and error-correcting codes for multiclass dialog act classification in meeting corpus,” in Proc. Interspeech-ICSLP, pp. 1938-1941, Sep. 2006. [25] YK Irfan … Related articles

Automatic detection and verification of rumors on Twitter S Vosoughi – 2015 – Citeseer Page 1. Automatic Detection and Verification of Rumors on Twitter by Soroush Vosoughi SB, Massachusetts Institute of Technology (2008) MS, Massachusetts Institute of Technology (2010) Submitted to the Program in Media Arts and Sciences, … Cited by 9 Related articles All 4 versions

Performance Analysis of Multiclass Support Vector Machine Classification for Diagnosis of Coronary Heart Diseases H Kusnanto – arXiv preprint arXiv:1511.02352, 2015 – arxiv.org … vol. 2, pp. 263-286, 1995. [16] Y. Liu, “Using SVM and Error-correcting Codes for Multiclass Dialog Act Classification in Meeting Corpus,” presented at the INTERSPEECH 2006 – ICSLP, Pittsburgh, Pennsylvania, 2006. [17] L … Related articles All 2 versions

8th International Conference on Educational Data Mining OC Santos, JG Boticario, C Romero, M Pechenizkiy… – 2015 – pdfs.semanticscholar.org Page 1. Proceedings of the 8th International Conference on Educational Data Mining 26-29 June 2015 Madrid – Spain OC Santos, JG Boticario, C. Romero, M. Pechenizkiy, A. Merceron, P. Mitros, JM Luna, C. Mihaescu, P. Moreno …

A new framework for mining frequent interaction patterns from meeting databases A Fariha, CF Ahmed, CK Leung, M Samiullah… – … Applications of Artificial …, 2015 – Elsevier … machine readable format. Kolár et al. (2010) used dialogue act segmentation and dialogue act classification using simple lexical and prosodic knowledge sources in automatic meeting applications. Zhang et al. (2006) expressed … Cited by 5 Related articles All 3 versions

CrowdIntent: annotation of intentions hidden in online discussions I Morales-Ramirez, D Papadimitriou… – Proceedings of the Second …, 2015 – dl.acm.org … [Online]. Available: http://dx.doi.org/10.1007/978-3-642-02050-6 21 [2] N. Novielli and C. Strapparava, “Dialogue act classification exploiting lexical semantics,” in Conversational Agents and Natural Language Interaction: Techniques and Effective Practices. IGI Global, 2011, pp. … Cited by 1 Related articles All 3 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 … [23] Serafin, R. & Di Eugenio. B. (2004). FLSA: Extending Latent Semantic Analysis with features for dialogue act classification. In Proceedings of ACL04, 42nd Annual Meeting of the Association for Computational Linguistics, Barcelona, Spain, July. … Cited by 1 Related articles All 13 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 Thesis Committee: Dr. Alexander I. Rudnicky, Carnegie Mellon University … Related articles All 10 versions

Scalable Inference for Statistical Relational Learning SR Learning – cs.cmu.edu … INTERSPEECH), Dresden, Germany, 2015. ISCA. [7] Yun-Nung Chen, William Yang Wang, and Alex I. Rudnicky. An empirical investigation of sparse log-linear models for improved dialogue act classification. In Proceedings of the … Related articles All 3 versions

Improving aspect extraction by augmenting a frequency-based method with web-based similarity measures S Li, L Zhou, Y Li – Information Processing & Management, 2015 – Elsevier Online review mining has been used to help manufacturers and service providers improve their products and services, and to provide valuable support for consumer. Cited by 6 Related articles All 2 versions

Word Sense Disambiguation: A Structured Learning Perspective. Z Yun, W Ting, Z Wang – Computing & Informatics, 2015 – search.ebscohost.com Page 1. Computing and Informatics, Vol. 34, 2015, 1257-1288 WORD SENSE DISAMBIGUATION: A STRUCTURED LEARNING PERSPECTIVE Yun Zhou, Ting Wang* School of Computer National University of Defense Technology … Related articles All 2 versions

Heterogeneous Feature Selection with Multi-Modal Deep Neural Networks and Sparse Group Lasso L Zhao, Q Hu, W Wang – IEEE Transactions on Multimedia, 2015 – ieeexplore.ieee.org … on Multimedia 8 neural networks with conditional random fields (CRF) and applied it to dialogue act recognition by using multiple features simultaneously. Similarly, by treating different low-level features as different modalities … Cited by 4 Related articles All 7 versions

Exploiting Connectivity for Case Construction in Learning by Reading D Barbella, KD Forbus – … of the Third Annual Conference on …, 2015 – qrg.northwestern.edu … Analogical Dialogue Act classification (Barbella & Forbus, 2011) has been used to construct cases from textual analogies by classifying sentences based on their role in establishing or extending an analogy, and then using those classifications to determine what statements are … Cited by 2 Related articles All 5 versions