Decision Tree & Dialog Systems 2015


Decision Tree

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Hierarchical reinforcement learning for situated natural language generation N Dethlefs, H Cuayáhuitl – Natural Language Engineering, 2015 – Cambridge Univ Press … Rieser, Lemon and Liu (2010) apply RL to information presentation in a spoken dialogue system that gives restaurant recommendations … Reinforcement learning has also been applied to other natural language processing tasks (Branavan et al. … 2006) use decision trees to learn … Cited by 8 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 – Artificial Intelligence in Education, 2015 – Springer … pipeline [5]. We have seen an upsurge of interest in improving natural language understanding in … We have implemented a tutorial dialogue system that can be utilized to com- pare the … learning than the supervised dialogue act model, which relies on a decision tree classi- fier … Cited by 3 Related articles All 3 versions

[BOOK] Interaction-based affect detection in educational software R Baker, J Ocumpaugh – 2015 – books.google.com … from student interactions, which were facilitated by the ITSPOKE audio dialogue system (Litman & … The AdaBoost algo- rithm (based on J48 decision trees) was used to build detectors to … AutoTutor is an intelligent tutoring sys- tem that engages in natural language dialog with … Cited by 9 Related articles All 2 versions

Speech based emotion recognition V Sethu, J Epps, E Ambikairajah – Speech and Audio Processing for …, 2015 – Springer … environments, in Proceedings of 2005 IEEE International Conference on Natural Language Processing and … real life applications in emotion recognition, in Affective Dialogue Systems, ed. by … S. Narayanan, Emotion recognition using a hierarchical binary decision tree approach. … Cited by 7 Related articles All 3 versions

Hmm training strategy for incremental speech synthesis M Pouget, T Hueber, G Bailly, T Baumann – Interspeech, 2015 – hal.archives-ouvertes.fr … Alpes/GIPSA-Lab, Grenoble, France 3 Universität Hamburg, Informatics Department, Natural Language Systems, Hamburg … speech synthesis was initially formulated in [1] in the context of dialogue systems. … This strategy exploits the decision trees that are classically used in HMM … Cited by 2 Related articles All 8 versions

Recent Approaches to Arabic Dialogue Acts Classifications AA Elmadany, SM Abdou, M Gheith – … on Natural Language …, 2015 – researchgate.net … it is considering one of the important solutions to solve Natural Language Processing (NLP … Pellom et al., 2001), VERBMOBIL project (Wahlster, 2000), and Amities dialogue system (Hardy et … they used two machine-learning algorithms, Naïve Bayes and Decision Trees to induce … Cited by 2 Related articles All 3 versions

Spoken language understanding in a nutrition dialogue system MB Korpusik – 2015 – dspace.mit.edu … 1.3.1 Previous Work To overcome the barrier preventing many obese individuals from easily tracking their food intake, we propose building a spoken dialogue system with which users simply … ranging from linguistics and natural language processing (NLP) to computer vision, … Cited by 2 Related articles All 3 versions

Big Data–Driven Natural Language–Processing Research and Applications V Gudivada, D Rao, V Raghavan – Big Data Analytics, 2015 – books.google.com … Natural Language Processing Applications NLP Application Name Machine Translation Information Extraction Topic Modeling Text Summarization Document Clustering Document Classification Question Answering Systems Dialog Systems Natural Language User Inter- faces … Cited by 2 Related articles

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 … DA recognition is very important for computers to understand natural-language dialogues … of an utterance is also essential to determine the DA tags in a Chinese dialogue system [17 … Another model, decision tree, which can also deal with any kind of features and learn a set of well … Cited by 2 Related articles All 3 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 … al., 2013). Therefore, building language-understanding component for dialogue system is requiring four parts: (1) Page 3. International Journal on Natural Language Computing (IJNLC) Vol. 4, No.2,April 2015 77 Dialogue Acts … Cited by 2 Related articles All 3 versions

Understanding student language: An unsupervised dialogue act classification approach A Ezen-Can, KE Boyer – JEDM-Journal of Educational …, 2015 – educationaldatamining.org … 2011), collaborative learning transcripts (D’Mello, Olney, and Person, 2010), tutorial dialogue systems (Graesser … 2014). Models of natural language have been used to achieve goals including generating questions (Niraula, Rus … Cited by 3 Related articles All 5 versions

Phoneme set design for speech recognition of English by Japanese W Xiaoyun, J Zhang, M Nishida… – … on Information and …, 2015 – search.ieice.org … by reducing the vari- ety of spoken responses compared with conventional spoken dialogue systems. … diagram of the phoneme cluster splitting with a phonetic decision tree (PDT)-based top … method for dialogue-based CALL system,” Journal of Natural Language Processing, vol … Cited by 2 Related articles All 5 versions

Strategic Dialogue Management via Deep Reinforcement Learning H Cuayáhuitl, S Keizer, O Lemon – arXiv preprint arXiv:1511.08099, 2015 – arxiv.org … 2The code of this substantial extension with an illustrative dialogue system is available at the following link … of the bth tree, and Z is a normalisation constant [4]. This classifier used 100 decision trees. … Hierarchical reinforcement learning for situated natural language genera- tion. … Cited by 1 Related articles All 2 versions

New feature weighting approaches for speech-act classification Y Ko – Pattern Recognition Letters, 2015 – Elsevier … Log-odds ratio of positive and negative category distributions. Abstract. Speech-act classification is essential to generation and understanding of utterances within a natural language dialogue system since the speech-act of an utterance is closely tied to a user intention. … Cited by 1 Related articles All 4 versions

Learning Trading Negotiations Using Manually and Automatically Labelled Data H Cuayáhuitl, S Keizer, O Lemon – Tools with Artificial …, 2015 – ieeexplore.ieee.org … One strategy has been to train classifiers for natural language processing (NLP) tasks using … agents that know how to play board games – such as decision trees [15], preference … work has been carried out in the context of automated non-cooperative dialogue systems, where an … Cited by 1 Related articles All 2 versions

Now all together: overview of virtual health assistants emulating face-to-face health interview experience C Lisetti, R Amini, U Yasavur – KI-Künstliche Intelligenz, 2015 – Springer … ECA) 4 Computational models of empathy and rapport 4 Spoken dialog systems for Health … modalities such as facial expressions, body language, speech, and natural language understanding2 … generated from discussions with an MI expert practitioner, the decision tree shown … Cited by 1 Related articles All 2 versions

An Analysis Towards Dialogue-Based Deception Detection Y Tsunomori, G Neubig, S Sakti, T Toda… – Natural Language …, 2015 – Springer … (eds.), Natural Language Dialog Systems and Intelligent … cultures and also to provide further resources for our work on deception detecting dialogue systems, which will … To solve this classification, we use Bagging of decision trees (Breiman 1996) as implemented in the Weka … Cited by 2 Related articles All 6 versions

Natural Language Processing for Social Media A Farzindar, D Inkpen – Synthesis Lectures on Human …, 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 2 Related articles All 5 versions

Inference of human beings’ emotional states from speech in human–robot interactions L Devillers, M Tahon, MA Sehili… – International Journal of …, 2015 – Springer Page 1. Int J of Soc Robotics DOI 10.1007/s12369-015-0297-8 Inference of Human Beings’ Emotional States from Speech in Human–Robot Interactions Laurence Devillers1,2 · Marie Tahon1 · Mohamed A. Sehili1 · Agnes Delaborde1 … Cited by 6 Related articles

Evaluation of a Fully Automatic Cooperative Persuasive Dialogue System T Hiraoka, G Neubig, S Sakti, T Toda… – Natural Language Dialog …, 2015 – Springer … Page 9. 15 Evaluation of a Fully Automatic Cooperative Persuasive Dialogue System 161 Table … 63 15.5.1 Natural Language Understanding … classifier. In this paper, we use bagging, using decision trees as the weak classifier (Breiman 1996). … Related articles All 7 versions

Automatic dialogue acts classification in Slovak dialogues M Pleva, S Ondas, J Juhar – … RADIOELEKTRONIKA), 2015 25th …, 2015 – ieeexplore.ieee.org … HMI, which among others demonstrates the most-modern ASR, TTS and natural language processing (NLP … plans are often used in task-oriented spoken or multimodal dialogue systems, their usage … n-gram statistical models) [4], Bayesian networks [5] and Decision Trees [6] can … Cited by 1 Related articles

Evaluation of NLG in an end-to-end Spoken dialogue system-is it worth it? H Hastie, H Cuayáhuitl, N Dethlefs, S Keizer, X Liu – macs.hw.ac.uk … 5. Karasimos, A., Isard, A.: Multi-lingual evaluation of a natural language generation systems … of the PARLANCE system: a data-driven incremental, spoken dialogue system for interactive … D., Young, SJ: Dialogue context sensitive speech synthesis using factorized decision trees. …

An Incremental Turn-Taking Model with Active System Barge-in for Spoken Dialog Systems T Zhao, AW Black, M Eskenazi – 16th Annual Meeting of the Special …, 2015 – aclweb.org … This work is closely related to end-of-turn detection and incremental processing (IP) dialog systems. … Raux (2008) built a decision tree for final pause duration using ASR and NLU fea … The speaker consists of the Text-to-Speech (TTS) and Natural Language Gen- eration (NLG … Related articles All 4 versions

Detecting Spoken Corrections through Decision Tree Methods GA Levow – cs.uchicago.edu … Content Areas: natural language processing, spoken language understanding, decision—tree learning Introduction The … A prosody—only decision—tree model for dis?uency detec— tion. … of the ECSA Tutorial and Research Workshop on Spoken Dialog Systems – Theories and … Related articles All 6 versions

Hmm-Based Incremental Speech Synthesis M Pouget, T Hueber, G Bailly – interspeech2015.org … incremental speech synthesis was initially formulated in [1] in the context of dialogue systems. … design of iTTS systems faces three main challenges: 1. Incremental Natural Language Processing (NLP … Figure 2: Representation of the decision tree when facing an unknown feature … Related articles

A Hybrid Language Understanding Approach for Robust Selection of Tutoring Goals R Srivastava, K VanLehn – cs.cmu.edu … trials of randomly selecting essays covering 10% of the corpus, training the decision tree using ID3 … The authors would like to thank the rest of the Natural Language Tutoring group for their … Pedagogical content knowledge in a tutorial dialogue system to support self-explanation. … Related articles All 2 versions

Clarifying Intentions in Dialogue: A Corpus Study JJ Schlöder, R Fernández – IWCS 2015, 2015 – aclweb.org … CR’class as only clear-cut cases of not-CR questions, at the risk of incurring a higher amount of ambiguity when the decision tree bottoms out … Clarification in spoken dialogue systems. … Workshop on Natural Language Generation in Spoken and Written Dialogue, Stanford, CA, pp … Related articles All 8 versions

A Dialog System to Detect Deception Y Tsunomori, G Neubig, T Hiraoka, M Mizukami… – isw3.naist.jp … using a WoZ setting, in which the wizard performs spoken language understanding (SLU) and natural language generation (NLG). … include fun- damental frequency F0, power, and phoneme duration, and use Bagging of decision trees [1] as … A Dialog System to Detect Deception …

Do Human-Agent Conversations Resemble Human-Human Conversations? D Griol, JM Molina – Distributed Computing and Artificial Intelligence, 12th …, 2015 – Springer … topic boundaries that uses decision trees to combine multiple linguistic features extracted from corpora of … There is also a wide range of natural language processing applications for which discourse … parts not strictly related to the domain of the dialog system (greetings, error … Related articles All 3 versions

Analysis and Prediction of Morphological Patterns of Backchannels for Attentive Listening Agents T Yamaguchi, K Inoue, K Yoshino, K Takanashi… – sap.ist.i.kyoto-u.ac.jp … stud- ies which actually implemented a dialogue system to generate backchannels using a decision tree [11, 12 … International Workshop on Spoken Dialog Systems, 2015. … Proceedings of the 4th Annual Meeting of the (Japanese) Association for Natural Language Processing, pp …

Towards Understanding Egyptian Arabic Dialogues ARA Elmadany, SM Abdou, M Gheith – arXiv preprint arXiv:1509.03208, 2015 – arxiv.org … Thus, the ambiguity considers the key problem for Natural Language Understanding/Processing especially on the … 3]. Moreover, DAs are practically used in many live dialogue systems such as … dialogue acts classification such as [22] are used Naïve Bayes and Decision Trees. … Related articles All 8 versions

Detecting Content-Heavy Sentences: A Cross-Language Case Study JJ Li, A Nenkova – aclweb.org Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing, pages 1271 … of the concept of content-heavy sentences, we can envision dialog systems addressing the … Therefore as our baseline we train a decision tree using the number of words7 … Related articles All 8 versions

Integrating Conversation Trees and Cognitive Models Within an ECA for Aggression De-escalation Training T Bosse, S Provoost – PRIMA 2015: Principles and Practice of Multi-Agent …, 2015 – Springer … The decision tree that is used by the module is shown in Figure 3. Here, a … By integrating a cognitive model of aggression within a dialogue system based on conversation trees … is to generate utterances ‘at runtime’ using a combination of natural language generation techniques … Cited by 2 Related articles All 3 versions

An Ensemble-Based Classification Approach to Model Human-Machine Dialogs D Griol, AS de Miguel – Advances in Artificial Intelligence, 2015 – Springer … Recognition (ASR), Spoken Language Understanding (SLU), Dialog Management (DM), Natural Language Generation (NLG … naive Bayes classifier, an n-gram based classifier, a decision tree classifier, a … and its interaction with the rest of the modules in the dialog system. Fig. 1. … Related articles

Semantic Features for Dialogue Act Recognition P Král, L Lenc, C Cerisara – Statistical Language and Speech Processing, 2015 – Springer … for the proposed dialogue act recognition approaches is a dialogue system that handles … 29], Memory-based [22] and Transformation-based Learning [34], Decision Trees [26], Neural … use this classification approach as being very popular in the natural language processing field … Related articles All 5 versions

Fundamentals of Adaptive Intelligent Tutoring Systems for Self-Regulated Learning RA Sottilare – 2015 – DTIC Document … Production Rules • Decision Trees • Neural Networks • Bayesian Networks • Reinforcement Learning Algorithms … Content presentation window. This window provides multimedia content in support of learning objectives. • Tutor natural language feedback window. … Related articles All 2 versions

Hypotheses Ranking and State Tracking for a Multi-Domain Dialog System Using Multiple ASR Alternates OZ Khan, JP Robichaud, P Crook… – … Annual Conference of …, 2015 – research.microsoft.com … These assistants typically involve the use of speech for natural language interaction to … in constructing a multi-domain dialog system that integrates heterogeneous spoken dialog systems. … of LambdaMART [21], based on the concept of Gradient Boosted Decision Trees [22], that … Related articles All 2 versions

Voice assistant application for the Serbian language B Popovic, E Pakoci, N Jakovljevic… – … TELFOR), 2015 23rd, 2015 – ieeexplore.ieee.org … It includes a voice-recognizer and a natural- language processing unit (NLU). … of the Republic of Serbia, within the project TR32035: “Development of Dialogue Systems for Serbian and … The decision tree was built according to more than 200 questions, created according to the …

Text Based Emotion Recognition: A Survey CR Chopade – ijsr.net … the tasks of opinion mining and market analysis, or natural language interfaces such … kinds of the Human computer interaction systems, such as dialogue systems, automatic answering … as support vector machines , specific statistic learning methods and decision trees, to detect … Related articles

Supervised Machine Learning Techniques to Detect TimeML Events in French and English B Arnulphy, V Claveau, X Tannier, A Vilnat – Natural Language Processing …, 2015 – Springer … applications concerned with information access (question-answering systems, dialog systems, text mining…). … They are based on usual machine learning techniques – decision trees, conditional random … and standardize events and temporal expressions in natural language texts … Related articles All 8 versions

A universal model for flexible item selection in conversational dialogs A Celikyilmaz, Z Feizollahi… – … IEEE Workshop on …, 2015 – ieeexplore.ieee.org … Several research focused on improving natural language understanding for multi-modal interfaces for … the FIS models are trained using GBDT (gradi- ent boosted decision tree) [19] models … a single universal language- independent FIS model used for dialog systems deployed in …

Providing users with adapted services: Dynamic building of dialogues to make heterogeneous agents cooperate R Charton, A Boyer, F Charpillet – hal.archives-ouvertes.fr … The communication must use a more natural language and it is heavily more difficult to have common references. … 5. BUILDING DIALOGUE SYSTEMS A classical solution is to lead the dialogue with a decision tree that determines the class of the user goal/problem. … Related articles All 3 versions

Evaluation of Crowdsourced User Input Data for Spoken Dialog Systems M Schmidt, M Müller, M Wagner, S Stüker… – 16th Annual Meeting of …, 2015 – aclweb.org … 3 Analysis of Crowdsourced User Input Data for Spoken Dialog Systems In this section, we describe our approach … Probabilistic part-of-speech tagging using decision trees. … In Proceedings of the conference on empirical methods in natural language process- ing, pages 254–263 … All 4 versions

Lexicon Optimization for WFST-Based Speech Recognition Using Acoustic Distance Based Confusability Measure and G2P Conversion NK Kim, WK Seong, HK Kim – Natural Language Dialog Systems and …, 2015 – Springer … 2002). The decision-tree-based approach requires a small amount of decoding memory. … Springer International Publishing Switzerland 2015 G. Geunbae Lee et al. (eds.), Natural Language Dialog Systems and Intelligent Assistants, DOI 10.1007/978-3-319-19291-8_12 119 … Cited by 1 Related articles All 5 versions

A Text to Speech System for Marathi using English Language S Kayte – synthesis, 2015 – ijesar.in … The TTS are consist of two major components: • Natural Language Processing (NLP) • Digital Signal Processing (DSP). … This process is typically achieved using a specially weighted decision tree. … Customer support dialog systems eg fully or partially automated help desks. …

Improved multi-kernel SVM for multi-modal and imbalanced dialogue act classification Y Zhou, X Cui, Q Hu, Y Jia – Neural Networks (IJCNN), 2015 …, 2015 – ieeexplore.ieee.org … So DA recognition is very important for computers to understand natural-language dialogues and it’s a … is also essential to determine the DA tags in a Chinese dialogue system [5]. While … Another model, decision tree, which can also deal with any kind of features and learn a set … Related articles

Speech Enabled Interactive Voice Response Systems M Dholvan, AS Kancharla – ijcea.com … 3 uses tri-phone HMMs, with state-sharing information obtained using decision trees. … HIV health information access using spoken dialogue systems:Touchtone vs. … Speech Recognition Systems for Indian Languages , International Conference on Natural Language Processing, 1 … Related articles

Constructive Feedback, Thinking Process and Cooperation: Assessing the Quality of Classroom Interaction T Sousa, L Flekova, M Mieskes… – … Annual Conference of …, 2015 – ukp.tu-darmstadt.de … present work from the broad range of ed- ucational Natural Language Processing (NLP … user disengagement detector for an uncertainty-adaptive spoken dialogue system,” in Proceedings … H. Schmid, “Probabilistic Part-of-Speech Tagging Using Decision Trees,” in Proceedings … Related articles All 4 versions

A Perspective on Computer Assisted Assessment Techniques for Short Free-Text Answers S Roy, Y Narahari, OD Deshmukh – Computer Assisted Assessment. …, 2015 – Springer … F1 score, Lesk score and cosine score) to train a Decision Tree classifier to … 2. Benchmark datasets in machine learning and natural language processing have enabled researchers to … language understanding accuracy with respect to objective outcomes in a dialogue system. … Related articles

Automated Interpretations of Unsupervised Learning-Derived Clusters for Activity Recognition RG Freedman, S Zilberstein – people.cs.umass.edu … For example, decision trees can only learn perpendicular partitions of the space. … this to AR, we will also investigate whether it applies to a natural language analogue of … the field of human-robot interaction by improving semantic interpretation in dialogue systems when humans … Related articles All 4 versions

Social talk capabilities for dialogue systems T Klüwer – 2015 – universaar.uni-saarland.de … 73 5 Natural-Language Understanding 75 5.1 Introduction . . . . . … 55 6.1 Multi-Threaded Dialogue System . . . . . … 8.1 The Full Strategy Taxonomy . . . . . 138 8.2 Decision Tree Example . . . . . … Related articles All 2 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 … Apte C, Damerau F, Weiss S (1998) Text mining with decision rules and decision trees. … In: Proceedings of the ninth conference on computational natural language learning—CONLL ’05 … Related articles All 3 versions

An Opening Chapter of the First Generation of Artificial Intelligence in Medicine: The First Rutgers AIM Workshop, June 1975 CA Kulikowski – Yearbook of medical informatics, 2015 – ncbi.nlm.nih.gov … His final comment was on the DIALOG system of Myers and Pople, stating that he did … then turned to an important aspect of his system, namely the natural language interface of … how the AI approaches differed from the earlier statistical and static decision tree representations, and … Related articles All 3 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 … Interpreter is responsible for processing both standard screen- reader shortcuts and natural-language speech utterances. … 1 Dialog Act Identifier/Recognizer In the area of spoken dialog systems, the ability … In our work, we used the decision-tree-based DA Recognizer [3] that … Related articles

RoboCHAIR: Creative Assistant for Question Generation and Ranking S Pollak, B Lesjak, J Kranjc… – Computational …, 2015 – ieeexplore.ieee.org … technologies can be used in question-answering (eg [9]), dialogue systems (eg [10 … sentences from which questions should be generated, a natural language processing question … Consequently, when using decision tree and rule learning algorithms to construct understandable …

Speech Recognition of English by Japanese Using Lexicon Represented by Multiple Reduced Phoneme Sets W Xiaoyun, S YAMAMOTO – IEICE TRANSACTIONS on Information …, 2015 – search.ieice.org … More prob- lematic is when non-native pronunciations become an is- sue for speech dialogue systems that target tourists, such as travel … of the speaker is known, we previously proposed using a reduced phoneme set (RPS) created with a phonetic decision tree based top- down … Related articles All 4 versions

Text Summarization and Speech Synthesis for the Automated Generation of Personalized Audio Presentations S Lawless, P Lavin, M Bayomi, JP Cabral… – Natural Language …, 2015 – Springer … what can be currently produced [12], eg audiobooks, spoken dialogue systems, etc … This module includes tools for text normali- zation, and Natural Language Processing (eg part … F0, spectrum and aperiodicity parameters are clustered using different decision trees, because these … Related articles All 3 versions

Corpus Annotation and Usable Linguistic Features AC Fang, J Cao – Text Genres and Registers: The Computation of …, 2015 – Springer … and offer valuable insight into the design of human–machine dialogue systems (Bunt et … the corpus-based linguistic studies to the practical application in natural language processing . … such as support vector machine (SVM), K-nearest neighbour, naïve Bayes and decision trees. …

Shallow PARsing and Knowledge extraction for Language Engineering I Annex – cogsci.ed.ac.uk … Speech dialogue systems will soon be in the position of providing services such as … considerable emphasis within the elds of computational linguistics and natural language processing (nlp … (1992a) propose a general probabilistic parsing technique using decision trees to model … Related articles All 3 versions

Natural Language Understanding and Prediction Technologies N Duta – ijcai15.org … Nicolae Duta Cloud ML @ Microsoft Natural Language Understanding and Prediction Technologies … Language prediction (aka modeling) •Natural Language Understanding • Supervised learning approaches: training & annotation issues • Semi-supervised learning approaches … Related articles All 2 versions

Use of Generation Process Model for Improved Control of Fundamental Frequency Contours in HMM-Based Speech Synthesis K Hirose – Speech Prosody in Speech Synthesis: Modeling and …, 2015 – Springer … prosodic boundaries, which can be obtained from orthographic text using a natural language processing system … Train binary decision trees (BDTs) to predict these differences. … the systems are used for generating response speech in spoken dialogue systems: words conveying … Related articles All 3 versions

Customer Feedback System O Khriyenko – researchgate.net … Speech and Language Processing: An Introduction to Natural Language Processing, Computational Linguistics … text input vs menu selection: exploring the difference with a tutorial dialogue system. … Murthy, Automatic Construction of Decision Trees from Data: A Multi-Disciplinary … Related articles All 3 versions

An ECA expressing appreciations S Campano, C Langlet, N Glas, C Clavel… – Affective Computing …, 2015 – ieeexplore.ieee.org … For each kind of OR-Emo in the decision tree, one specific pattern for ECA’s sentence … 3) When the dialogue system is set in NO-EMO condition, the ECA does not … Buschmeier, K. Bergmann, and S. Kopp, “An alignment-capable microplanner for natural language generation,” in … Cited by 1 Related articles All 5 versions

Semantic Similarity Graphs of Mathematics Word Problems: Can Terminology Detection Help? RJL John, RJ Passonneau… – Proceedings of the …, 2015 – educationaldatamining.org … three ensemble methods, Boosting, Bagging and Random Forests, we used 1000 Decision Trees. … Evaluating the effectiveness of a tutorial dialogue system for self-explanation … In Proceedings of the Seventeenth Conference on Computational Natural Language Learning, pages … Cited by 1 Related articles All 2 versions

Diffusion of Electronic Health Records C Nøhr, SK Andersen, K Bernstein… – vbn.aau.dk … in Integrating Data from Different Models to Achieve Data Interoperability 674 Rahil Qamar and Alan Rector Medication Reconciliation Using Natural Language Processing and … A New Architecture for Health-Care Dialogue Systems 1063 LM Rojas-Barahona and T. Giorgino xvii … Related articles All 2 versions

Evaluation of a context-aware voice interface for ambient assisted living: qualitative user study vs. quantitative system evaluation M Vacher, S Caffiau, F Portet, B Meillon… – ACM Transactions on …, 2015 – dl.acm.org … For instance, to generate a natural language response, as might be required in a natural language dialogue system, the communication stage may consist of Natural Language Generation (NLG) and Text-To-Speech (TTS) stages. … Cited by 4 Related articles All 18 versions

Automatic ranking of swear words using word embeddings and pseudo-relevance feedback LF D’Haro, RE Banchs – 2015 Asia-Pacific Signal and …, 2015 – ieeexplore.ieee.org … was Smokey, which is described in [5]. This system included a parser for syntactic analysis and then a series of semantic- rules applied before a C4.5 decision tree classifier used … “IRIS: a chat-oriented dialogue system based on … “NLTK: the natural language toolkit.” Proceedings …

Deep learning approaches to problems in speech recognition, computational chemistry, and natural language text processing GE Dahl – 2015 – tspace.library.utoronto.ca … Similarly, in natural language processing, we can observe sequences of words with very little corruption, but the interactions between words that give rise to meaning have a very complicated structure. … [2010] showed that single decision trees cannot generalize well to variations … Cited by 1 Related articles All 5 versions

Prediction of relevant biomedical documents: a human microbiome case study P Thompson, JC Madan… – BioData …, 2015 – biodatamining.biomedcentral.com … Retrieval System (MEDLARS) [23] and Saracevic’s own evaluations of the DIALOG system [24–26 … a document using a much richer representations using methods from natural language understanding. … vector machines (SVM) (libsvm) and for the C4.5 decision tree algorithm (j48 … Related articles All 10 versions

A proposal for the development of adaptive spoken interfaces to access the Web D Griol, JM Molina, Z Callejas – Neurocomputing, 2015 – Elsevier … the design of an appropriate dialog management strategy is at the core of dialog system engineering … a multinomial naive Bayes classifier, an n-gram based classifier, a decision tree classifier, a … also proven to be useful in for other tasks related to natural language processing [ … Related articles All 2 versions

Data mining and education KR Koedinger, S D’Mello… – Wiley …, 2015 – Wiley Online Library … The most successful approach to the prediction task featured a combination of Hidden Markov Models (HMMs), random decision trees, and logistic regression on millions of machine generated features of student interaction.[43] The second best overall prediction was achieved … Cited by 4 Related articles All 6 versions

Formalising Believability and Building Believable Virtual Agents A Bogdanovych, T Trescak, S Simoff – Artificial Life and Computational …, 2015 – Springer … are represented as recursive-arc graphs (similar to recursive decision trees) with probabilities … NO (eds.) Natural, Intelligent and Effective Interaction in Multimodal Dialogue Systems, pp … Factor Taxonomy: Dimensions of Per- sonality in the Natural Language and in Questionnaires … Related articles All 7 versions

SENSEI Coordinator M Kabadjov, EA Stepanov, F Celli, SA Chowdhury… – sensei-conversation.eu … MLP Multi-layer Perceptron MPQA Multi-Perspective Question Answering corpus/lexicon NE Named Entity NLP Natural Language Processing NN … of DA analysis is quite wide and includes conversa- tion summarization (both spoken and written), dialogue systems, etc.; and DAs …

Posteriori Restoration of Turn-Taking and ASR Results for Incorrectly Segmented Utterances K Komatani, N Hotta, M NAKANO – IEICE TRANSACTIONS on …, 2015 – search.ieice.org … natively. A spoken dialogue system needs to know when to start responding and when to terminate the response. … fragments. We cast this as a binary clas- sification problem and perform decision tree learning with various features. … 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’ questions about … methods are employed for user profiling, the structure used by the method (eg, a neural network [5], decision tree [40], or … Cited by 2 Related articles All 3 versions

Using hashtags to capture fine emotion categories from tweets SM Mohammad, S Kiritchenko – Computational Intelligence, 2015 – Wiley Online Library … They can be used in numerous applications of emotion detection, such as personality detection, automatic dialog systems, automatic tutoring systems … spelling mistakes, short forms, and various other properties that make such text difficult to process by natural language systems. … Cited by 25 Related articles All 6 versions

A multimodal adaptive session manager for physical rehabilitation exercising K Tsiakas, M Huber, F Makedon – Proceedings of the 8th ACM …, 2015 – dl.acm.org … In previous work, we have proposed a theoretical framework of a system that uses a dialogue system able to … communication between the user and the system, using audiovisual automatic speech recognition [20] and Natural Language Understanding (NLU). … decision trees. … Cited by 1 Related articles

What goes around comes around: learning sentiments in online medical forums V Bobicev, M Sokolova, M Oakes – Cognitive Computation, 2015 – Springer … in online communication is preliminary steps for creation of affective dialogue system in which … to be general enough to accommodate the diversity of natural language expressions appearing … We applied Naïve Bayes (NB), NBText, NBMultinomial, SVM, Decision Trees and KNN … Cited by 2 Related articles All 2 versions

Investigating student interactions with tutorial dialogues in EER-Tutor M Elmadani, A Mitrovic, A Weerasinghe… – Research and Practice …, 2015 – Springer … The Geometry Explanation Tutor allows students to give natural language explanations about their problem-solving steps. … We have focussed only on constructing decision trees and rule sets because the models are easy to visualise and interpret. … Related articles All 4 versions

Multiple topic identification in human/human conversations X Bost, G Senay, M El-Bèze, R De Mori – Computer Speech & Language, 2015 – Elsevier … It is worth mentioning among them, especially for text documents, decision trees (Cohen and Singer, 1999), naive Bayes classifiers (Li and Jain, 1998), other probabilistic classifiers (Lewis and Gale, 1994), support vector machines (Joachims, 1998), k-nearest neighbors and … Cited by 1 Related articles All 2 versions

From simulated speech to natural speech, what are the robust features for emotion recognition? Y Li, L Chao, Y Liu, W Bao, J Tao – Affective Computing and …, 2015 – ieeexplore.ieee.org … Among these classifiers, CART and Random Forest are decision trees. … Towards real life applications in emotion recognition,” in Affective Dialogue Systems, ed: Springer … emotion recognition environments,” in IEEE International Conference on Natural Language Processing … Related articles All 2 versions

A Survey of Autonomous Human Affect Detection Methods for Social Robots Engaged in Natural HRI D McColl, A Hong, N Hatakeyama, G Nejat… – Journal of Intelligent & …, 2015 – Springer … Facial-affect classification is, then, used to esti- mate affect utilizing binary decision trees [58], 2) AdaBoost [102], multilayer perceptrons (MLPs) [60], support vector machines (SVMs) [103], support vec- tor regression (SVRs) [60, 76], neural networks (NNs) [60, 104–108], or … Related articles

Situation-and User-adaptive Dialogue Management G Bertrand – 2015 – vts.uni-ulm.de … geboren in Ravensburg Institute of Communications Engineering: Dialogue Systems University of Ulm … context of the user. This trend has also found its way into the world of dialogue systems.This thesis addresses different aspects this trend brings about for the central … Related articles All 2 versions

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 … a Natural Language Processing Lab, Department of … 2. Related work. Research on spoken dialogue systems has been progressing for at least forty years, and many systems exist, from prototypes to commercial strength (please see Tur and De Mori, 2011 for a recent overview). … Cited by 2 Related articles All 6 versions

Non-Sentential Utterances in Dialogue: Experiments in classification and interpretation P Dragone – arXiv preprint arXiv:1511.06995, 2015 – arxiv.org … 23 3.2.1 Classification: Decision Trees . . . . . … 64 4.5.1 Dialogue system architecture . . . . . … FEC Focus-Establishing Constituent MaxQUD Maximal QUD element NLG Natural Language Generation NLU Natural Language Understanding NSU Non-Sentential Utterance … Cited by 1 Related articles All 9 versions

Succeeding metadata based annotation scheme and visual tips for the automatic assessment of video aesthetic quality in car commercials F Fernández-Martínez, AH García… – Expert Systems with …, 2015 – Elsevier In this paper, we present a computational model capable to predict the viewer perception of car advertisements videos by using a set of low-level video descript. Related articles All 6 versions

Towards a Theory of Close Analysis for Dispute Mediation Discourse M Janier, C Reed – Argumentation – Springer … This idealized model has significant limitations in handling the complexity of natural language argumentation but its broad structure is useful in providing … By their designing a decision tree, decision analysis tools transform the conflict into a logical structure from all the issues to … Related articles

Automatic irony-and sarcasm detection in Social media E Forslid, N Wikén – 2015 – diva-portal.org … 10 Page 15. 4 Theory / Text Categorization Text categorization is an area that overlaps both with Natural Language Processing (NLP) and Machine learning. … It is one of many interesting tools in stylometry that can be used in Natural language processing. … Related articles

On Distant Speech Recognition for Home Automation M Vacher, B Lecouteux, F Portet – Smart Health, 2015 – Springer … HMMs are classic three-state left-right models while state tying is achieved by using decision trees. … one of the best interfaces, is the VoiceUser Interface (VUI), whose technology has reached a stage of maturity and that provides interaction using natural language so that the … Related articles All 12 versions

How a Systemic Functional Grammar works: the role of realization in realization RP Fawcett, GH Tucker, YQ Lin – … Concepts in Natural Language …, 2015 – books.google.com Part III Realization 6 How a systemic functional grammar works: the role of realization in realization Robin P. Fawcett, Gordon H. Tucker and Yuen Q. Lin Abstract There is an increasing realization among researchers in natural language generation (NLG) that planning cannot … Related articles

A generalized framework for medical image classification and recognition M Abedini, NCF Codella, JH Connell… – IBM Journal of …, 2015 – ieeexplore.ieee.org … They fed well-recognized low-level features, such as gradient, peak, raw pixels, and other statistical features, extracted from images to a Logistic Decision Tree at both levels. Park et al. [14] extended the work by using an MLBoost learning algorithm. Beymer et al. … Cited by 3 Related articles All 2 versions

Exploring the Benefits of Context in 3D Gesture Recognition for Game-Based Virtual Environments EM Taranta II, TK Simons, R Sukthankar… – ACM Transactions on …, 2015 – dl.acm.org … 6. CA-LINEAR CLASSIFIER Cheema et al. [2013] recently compared several machine learning algorithms and found that the linear classifier based on Rubine [1991] is competitive with other methods such as SVM, AdaBoost, and J48 Decision Trees. … Cited by 1 Related articles All 2 versions

Automated Quality Assurance of Non-Functional Requirements for Testability A Rashwan – 2015 – spectrum.library.concordia.ca … CREOLE A Collection of REusable Objects for Language Engineering DT Decision Tree EBNF Extended Backus–Naur Form EM Expectation-Maximization … ML Machine Learning NFR Non-Functional Requirement NLP Natural Language Processing NN Neural Network … Related articles All 3 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 … interaction [1]. Speech-based emotion recognition is applicable to automatic speech recognition (ASR), spoken dialog systems (SDS) [2 … Besides natural language processing [19-21], LTMs have previously been used for human activity recognition [22], image annotation and … Cited by 3 Related articles All 7 versions

Computer-based Assessment of Collaborative Problem Solving: Exploring the Feasibility of Human-to-Agent Approach Y Rosen – International Journal of Artificial Intelligence in …, 2015 – Springer … presented at the chat were based on a pre-programmed decision-tree and situated in … This strand of research suggests that designers of computer-mediated dialogue systems should pay … key capabilities of human agents is the ability to engage in natural language dialogue with … Related articles All 2 versions

[BOOK] NLTK Essentials N Hardeniya – 2015 – books.google.com … Table of Contents Preface v Chapter 1: Introduction to Natural Language Processing 1 Why … classification 68 Information extraction 70 Question answering systems 70 Dialog systems 71 Word … 74 Text classification 75 Sampling 77 Naive Bayes 80 Decision trees 83 Stochastic … All 6 versions

[BOOK] Language Identification Using Excitation Source Features KS Rao, D Nandi – 2015 – Springer … the topics covered in this series include the presentation of real life commercial deployment of spoken dialog systems, contemporary methods … and CEO of Linguistic Technology Systems, a NJ-based think tank for intelligent design of advanced natural language based emotion … Related articles All 6 versions

Automated Quality Assurance of Non-Functional Requirements for Testability A Rashwan – 2015 – spectrum.library.concordia.ca … CREOLE A Collection of REusable Objects for Language Engineering DT Decision Tree EBNF Extended Backus–Naur Form EM Expectation-Maximization … ML Machine Learning NFR Non-Functional Requirement NLP Natural Language Processing NN Neural Network … Related articles All 3 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 … interaction [1]. Speech-based emotion recognition is applicable to automatic speech recognition (ASR), spoken dialog systems (SDS) [2 … Besides natural language processing [19-21], LTMs have previously been used for human activity recognition [22], image annotation and … Cited by 3 Related articles All 7 versions

Computer-based Assessment of Collaborative Problem Solving: Exploring the Feasibility of Human-to-Agent Approach Y Rosen – International Journal of Artificial Intelligence in …, 2015 – Springer … presented at the chat were based on a pre-programmed decision-tree and situated in … This strand of research suggests that designers of computer-mediated dialogue systems should pay … key capabilities of human agents is the ability to engage in natural language dialogue with … Related articles All 2 versions

Novel Methods for Text Preprocessing and Classification T Gasanova – 2015 – vts.uni-ulm.de … 162 5.2.3.1 Opinion Mining and Document Classification . . . . . 162 5.2.3.2 Natural Language Call Routing . . . . . … 57 2.4 Decision tree obtained on Iris database using RapidMiner . . . . . … 89 3.1 Overview of Spoken Dialogue Systems . . . . . … Related articles

A system for recognizing human emotions based on speech analysis and facial feature extraction: applications to Human-Robot Interaction M Rabiei – 2015 – dspace-uniud.cineca.it … Some works tried to incorporate spoken dialogue system technology and service robots. Psychologists … Artificial Neural Networks (ANNs) and decision trees. … 11 | Page There have been several researches on emotion classification system in the field of Natural Language … Related articles All 2 versions

[BOOK] Formal Specification Level M Soeken, R Drechsler – 2015 – Springer … are presented; the first one extracts structural information in terms of classes with attributes and operations from natural language scenarios and … for the first approach is given as the integrated development environment lips which particularly focuses on the dialog system for the … Cited by 1 Related articles All 5 versions

A Review of the Role of Sensors in Mobile Context-Aware Recommendation Systems S Ilarri, R Hermoso, R Trillo-Lado… – International Journal of …, 2015 – hindawi.com … This classification approach is based on a decision tree followed by a first-order discrete HMM, and it is able to detect (with more than accuracy) whether the user is … Along the same lines, the authors of [104] study the relation between natural language and affective information. … Related articles All 4 versions

Efficient Setup of Acoustic Models for Large Vocabulary Continuous Speech Recognition DIC Gollan, IH Ney, PDDL Lamel – publications.rwth-aachen.de … Polish transcription system. András, Stephan and Max for developing the new software framework for the speech recognition group and for all their theoretical and practical lessons around natural language pro- cessing. I am … Related articles

[BOOK] Text Genres and Registers: The Computation of Linguistic Features CA Fang, J Cao – 2015 – books.google.com … His research interests include corpus linguistics, computational linguistics, dialogue systems and information retrieval. … It has as a result revolutionised natural language processing systems that can now robustly handle unforeseen phenomena in language through the … 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 … To formalize the above questions on the role of discourse information with computational approaches, I use techniques and resources in natural language pro- cessing. … choices of referring expressions in a natural language setting, and (ii) how they inter- … Related articles

Effective use of cross-domain parsing in automatic speech recognition and error detection MA Marin – 2015 – digital.lib.washington.edu … few, the way these intents are expressed may vary significantly from one user to the next. Thus, natural language processing (NLP) techniques are required in order for the system … request made by the dialog system component. In particular we are interested in two types … Cited by 2 Related articles All 2 versions

Multitask learning of deep neural networks for low-resource speech recognition D Chen, BKW Mak – Audio, Speech, and Language Processing, …, 2015 – ieeexplore.ieee.org … For example, [37] applies MTL on a single convolutional neural network to produce state-of-the-art performance for several language processing predictions; [38] improves intent classification in goal-oriented human-machine spoken dialog systems which is particularly … Cited by 1 Related articles All 3 versions

Machine learning for gesture recognition from videos BG Gebre – 2015 – pubman.mpdl.mpg.de … I thank Onno Crasborn, Marijn Huijbregts, Asli Ozyurek, Connie de Vos, Marcos Zampieri, Mingyuan Chu and Emanuela Campisi. I thank Marcos for keeping me interested in natural language processing (text processing). We … Related articles

Automatic Detection of Verbal Deception E Fitzpatrick, J Bachenko… – 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 … Related articles All 3 versions

Sarcasm detection on twitter: A behavioral modeling approach A Rajadesingan, R Zafarani, H Liu – … on Web Search and Data Mining, 2015 – dl.acm.org Page 1. Sarcasm Detection on Twitter: A Behavioral Modeling Approach Ashwin Rajadesingan, Reza Zafarani, and Huan Liu Computer Science and Engineering Arizona State University {arajades, reza, huan.liu}@asu.edu … Cited by 12 Related articles All 3 versions

Towards Large Scale Summarization JM Christensen – 2015 – digital.lib.washington.edu … proaches: machine learning methods and methods that rely on deep natural language anal- ysis (Das and Martins, 2007). Many machine learning techniques have been employed, in- cluding naive-bayes methods (Kupiec et al., 1995), decision trees (Lin, 1999), hidden markov … Related articles All 3 versions

The attentive robot companion: learning spatial information from observation and verbal interaction L Ziegler – 2015 – pub.uni-bielefeld.de … DTree Decision Tree. … Those either require a more sophisticated situation model, more pow- erful perception, or a dialog system that han- dles more complex … HRI will be based on natural language in the future, which will require alignment strategies in the robotic systems that … Related articles All 2 versions