Hypothesis Generation & Dialog Systems


Hypothesis generation is the process of generating and testing hypotheses, or potential explanations, for a particular phenomenon or problem. In the context of dialog systems, hypothesis generation can be used to generate potential responses or actions for a chatbot or virtual assistant to take based on a user’s input.

There are a variety of approaches and techniques that can be used for hypothesis generation in dialog systems, including:

  1. Rule-based systems: These systems use a set of predetermined rules and logic to generate hypotheses based on the user’s input.
  2. Machine learning: Machine learning algorithms can be trained on large datasets of human-human conversations, and can be used to generate hypotheses based on the patterns and trends observed in the data.
  3. Natural language processing: Natural language processing (NLP) techniques can be used to analyze the user’s input and generate hypotheses based on the meaning and context of the input.

Once a hypothesis has been generated, it can be tested and refined based on the user’s response, and the chatbot or virtual assistant can use this information to adjust its behavior and improve its performance over time.

See also:

Hypothesis Generation Module | Hypothesis Generators | Hypothesis Pruning

Automatic learning of interpretation strategies for spoken dialogue systems C Raymond, F Béchet, R De Mori… – … , Speech, and Signal …, 2004 – ieeexplore.ieee.org AUTOMATIC LEARNING OF INTERPRETATION STRATEGIES FOR SPOKEN DIALOGUE SYSTEMS … a better average i © than the one-best solution, it can be assumed that the first-pass language model prevailed on the acoustic model for the one-best hypothesis generation. … Cited by 14 Related articles All 12 versions Cite Save

A frame-based probabilistic framework for spoken dialog management using dialog examples K Kim, C Lee, S Jung, GG Lee – … of the 9th SIGdial Workshop on …, 2008 – dl.acm.org … Figure 4 Example predefined classes for semantic frame of SLU in weather information service dialog system. 3.4 Dialog history … 4 Example-based System Action Genera- tion 4.1 Example-based system action hypothesis generation … Cited by 18 Related articles All 12 versions Cite Save

Perspective taking: An organizing principle for learning in human-robot interaction M Berlin, J Gray, AL Thomaz, C Breazeal – Proceedings of the National …, 2006 – aaai.org … 2005), and collaborative dialog systems have investi- gated the role of plan recognition in identifying and resolv- ing misconceptions (see (Carberry … In essence, this focuses the hypothesis generation mechanism on the subset of the input space that matters to the human teacher … Cited by 40 Related articles All 14 versions Cite Save

A WOz variant with contrastive conditions E Levin, R Passonneau – 2006 – academiccommons.columbia.edu … functional block diagram of a dialog system shown in Figure 1. Under standard WOz conditions, the wizard replaces all dialog system components except … The results of Phase I data collection, directed at hypothesis generation, will be used to modify the Phase II DM (used by … Cited by 11 Related articles All 9 versions Cite Save

Building Watson: An overview of the DeepQA project D Ferrucci, E Brown, J Chu-Carroll, J Fan, D Gondek… – AI magazine, 2010 – aaai.org Page 1. The goals of IBM Research are to advance computer science by exploring new ways for computer technology to affect science, business, and society. Roughly three years ago, IBM Research was looking for a major … Cited by 335 Related articles All 34 versions Cite Save

A probabilistic approach to the interpretation of spoken utterances I Zukerman, E Makalic, M Niemann… – PRICAI 2008: Trends in …, 2008 – Springer … Minimally, a language interpretation component must be able to postulate promising interpretations, and decide whether there is a clear winner or several likely candidates to be passed to the dialogue system. … The dialogue system in turn must determine an appropriate action. … Cited by 13 Related articles All 11 versions Cite Save

Finding needles in the haystack: Search and candidate generation J Chu-Carroll, J Fan, BK Boguraev… – IBM Journal of …, 2012 – ieeexplore.ieee.org … A key phase in the DeepQA architecture is Hypothesis Generation, in which candidate system responses are generated for downstream scoring and ranking. … The Hypothesis Generation phase takes as input results from question analysis, summarized in the previous section. … Cited by 21 Related articles All 4 versions Cite Save

Mining collaborative patterns in tutorial dialogues S D’Mello, A Olney, N Person – JEDM-Journal of …, 2010 – educationaldatamining.org Page 1. Mining Collaborative Patterns in Tutorial Dialogues 1 SIDNEY D’MELLO Institute for Intelligent Systems, University of Memphis, Memphis, TN, 38152, USA sdmello@memphis.edu ANDREW OLNEY Institute for Intelligent … Cited by 28 Related articles All 8 versions Cite Save

Introduction to “this is watson” DA Ferrucci – IBM Journal of Research and Development, 2012 – ieeexplore.ieee.org … In more comprehensive systems such as open-domain QA and dialogue systems, we can learn how many different algorithms interact and complement each … This metric reflects the goal of maximizing candidate recall at the hypothesis generation phase of the DeepQA pipeline. … Cited by 34 Related articles All 2 versions Cite Save

Coaching within a domain independent inquiry environment T Dragon, BP Woolf, D Marshall, T Murray – Intelligent Tutoring Systems, 2006 – Springer … The overarching shared goal is to involve students in reasoning, critical thinking and hypothesis generation and thereby to generate more responsive and active learning. … A Tutorial Dialog System to Support Self-Explanation: Evaluation and Open Questions. … Cited by 25 Related articles All 12 versions Cite Save

Hypothesis generation and maintenance in the interpretation of spoken utterances M Niemann, I Zukerman, E Makalic… – AI 2007: Advances in …, 2007 – Springer Page 1. Hypothesis Generation and Maintenance in the Interpretation of Spoken Utterances … Further, dialogue systems can interact with users to obtain additional information when so warranted by the state of the interpretation process and the dialogue conditions. … Cited by 1 Related articles All 8 versions Cite Save

[BOOK] Embodied conversational agents in Wizard-of-Oz and multimodal interaction applications M Rojc, T Rotovnik, M Brus, D Jan, Z Ka?i? – 2007 – Springer … ongoing implementations of embodied conversational agents in human-computer interaction are discussed: Wizard-of-Oz and multimodal dialogue system. … final partial hypothesis generator 3D model Unit 1 3D model Unit 2 final partial hypothesis generator Phoneme-to-viseme … Cited by 2 Related articles All 5 versions Cite Save

An experience using context in translation from systems requirements to conceptual model PBNM Bigolin, P Brezillon – … Conference on Modeling and Using Context … – researchgate.net … They developed a system-directed dialogue for a spoken language dialogue system and on first experiments towards achieving mixed-initiative dialogue. … This method analyzes the more left symbol to control the hypothesis generation during the analysis. 3.4 Heuristic Rules … Cited by 3 Related articles All 5 versions Cite Save More

OntoPlus: Text-driven ontology extension using ontology content, structure and co-occurrence information I Novalija, D Mladeni?, L Bradeško – Knowledge-Based Systems, 2011 – Elsevier … and information retrieval [4], question answering [1] and [5], word sense disambiguation [6]. The ontology-driven hypothesis generation was successfully … automatic approach for Cyc KB extension presented in [28] is based on the user-interactive dialogue system for knowledge … Cited by 8 Related articles All 4 versions Cite Save

Role of expressive behaviour for robots that learn from people C Breazeal – … Transactions of the Royal Society B: …, 2009 – rstb.royalsocietypublishing.org … In effect, the robot runs a parallel copy of its task-learning engine that operates on its simulated representation of the human’s beliefs. In essence, this focuses the hypothesis generation mechanism on the subset of the input space that matters to the human teacher. … Cited by 37 Related articles All 6 versions Cite Save

The use of virtual hypothesis copies in decoding of large-vocabulary continuous speech F Seide – Speech and Audio Processing, IEEE Transactions on, 2005 – ieeexplore.ieee.org … C. State Level: Subword-Hypothesis Generation The state level is a subword-hypothesis generator using pho- netic-history conditioned state copies. We define probability of the best path up to time that ends in state of a subword unit with phonetic history . … Cited by 4 Related articles All 4 versions Cite Save

Argumentation-Based Dialogue Systems for Medical Training A Grando, L Moss, G Bel-Enguix… – Where Humans Meet …, 2013 – Springer Page 1. Chapter 10 Argumentation-Based Dialogue Systems for Medical Training … This paper introduces an extended arguEIRA with an argumentation-based dialogue system inspired by the system proposed by Parsons et al. … Related articles All 3 versions Cite Save

Confidence Measures for Spoken Dialog Systems PS Jawale – 2012 – ee.iitb.ac.in … 1.2.5 Design problems While building a dialog system application one faces the trade-off between having human-like interaction and the recognizer accuracy. … The basic idea is that we use a preliminary hypothesis generator to generate one or more possible hypothesis … Related articles All 2 versions Cite Save More

Alternative hypothesis generation using a weighted kernel feature matrix for ASR substitution error correction CH Liu, CH Wu, D Sarwono – Chinese Spoken Language …, 2012 – ieeexplore.ieee.org ALTERNATIVE HYPOTHESIS GENERATION USING A WEIGHTED KERNEL FEATURE MATRIX FOR ASR SUBSTITUTION ERROR CORRECTION … language processing, such as Computer-Assisted Language Learning (CALL) and Spoken Dialogue Systems (SDS), usually … Related articles Cite Save

A Qualitative Medical Diagnosis Approach based on Observer and Validating Agents JC Nieves, H Lindgren, U Cortés – VII Workshop on Agents Applied in …, 2012 – deim.urv.cat … In Section 5, a dialogue system is defined for managing a deliberation process between Observer and Val- idating agents … Abductive diagnostic reasoning may also be seen as a form of diagnostic reasoning, where hypothesis generation and evaluation is included (eg, the set of … Related articles All 2 versions Cite Save More

Understanding speech and language interactions in HCI: The importance of theory-based human-human dialogue research BR Cowan – cs.bham.ac.uk … dialogue systems could include indicators of their design state and the behaviors encountered by the user so that the probability of user … the cycle could be used the other way around, whereby aspects seen in natural corpora can be used as hypothesis generation for laboratory … Cite Save More

Novel Applications Of Neural Networks In Speech Technology Systems: Search Space Reduction And Prosodic Modeling J. … R SAN-SEGUNDO… – … Automation and Soft …, 2009 – geintra-uah.org … This estimator module will be the one in which we will use NNs as the estimation strategy. The main hypothesis generator modules are fully described in Page 4. 634 … Preprocessing & VQ processes Lexical Access Hypothesis Generator Phonetic String Build-Up … Related articles All 13 versions Cite Save More

Speech-based Question Answering System Ikkyu” DES Stijn, J GOTO, I VARGA – Journal of the National Institute of …, 2012 – nict.go.jp … 59 Nos. 3/4 2012 Page 7. rent hypothesis generation technology is effec- tive only in a limited target and can be applied, for example, only to the relations between words. We are currently conducting research to widen the applicable range. … Related articles Cite Save More

Towards learned feedback for enhancing trust in information seeking dialogue for radiologists D Sonntag – Proceedings of the 16th international conference on …, 2011 – dl.acm.org … Second, a dialogue system expert selects additional rules he finds useful, although he is not an expert of the radiol- ogy domain. The generated association rules are used for hypothesis generation, ie, which propositions are found re- sponsible for the anomalies encountered in … Related articles All 3 versions Cite Save

Evaluation of agents interactions in a context-aware system N Sanchez-Pi, D Griol, J Carbo, JM Molina – … on Computational Collective …, 2013 – Springer … Evaluation efforts for dialog systems have used user satisfaction as the impact metric. … Consider the same topics discussed in component metrics: question and answer dialogs, user modeling, hypothesis generation, prior and tacit knowledge. … Related articles All 5 versions Cite Save

Increasing The Naturalness Of Synthesized Speech BME TMIT – Secretary General: Honorary President – isphs.org … of articulatory processes and its modeling, leading to articulatory synthesis systems for plausibility testing and new hypothesis generation. … text and transcription; ii) speech analysis, recognition, synthesis; and iii) their intertwining within natural language dialogue systems. … Related articles All 2 versions Cite Save More

Elements of a computational model for multi?party discourse: The turn?taking behavior of Supreme Court justices T Hawes, J Lin, P Resnik – Journal of the American Society for …, 2009 – Wiley Online Library … tagging dialogue acts in conversational speech (Stolcke et al., 2000), and managing discourse in spoken dialogue systems (Williams & … Further progress on computational modeling tools in this domain can provide the catalyst for hypothesis generation, deeper analysis, and … Cited by 8 Related articles All 11 versions Cite Save

My science tutor: A conversational multimedia virtual tutor for elementary school science W Ward, R Cole, D Bolaños… – ACM Transactions on …, 2011 – dl.acm.org … While spoken dialogue systems have been developed for science tutoring for university-level students, and for children for … for knowledge acquisition in MyST: to improve learning by scaffolding conversations using media to support hypothesis generation and coconstruction of … Cited by 14 Related articles All 5 versions Cite Save

Theme: Knowledge Based Ai Systems S AMAREL – profiles.nlm.nih.gov … Page 7. Schedule of Technical Sessions of First Annual AIM Workshop Sunday, June 15, 1975 Morning Session: 8:30 – 9:45 A. Seminar on the DIALOG System (Pople and Meyers). B. Seminar on the BELIEVER System (Schmidt). 9:45 – lo:15 Break. … Related articles All 2 versions Cite Save More

Face-to-face interaction and the KTH Cooking Show J Beskow, J Edlund, B Granström, J Gustafson… – … of Multimodal Interfaces: …, 2010 – Springer … Motion capture has also been used to model animated agents in spoken dialogue systems, and some research data of acted dialogues have … and (3) to actually research face-to-face dialogue – the data collected during the exercises is valuable for hypothesis generation, as are … Cited by 7 Related articles All 7 versions Cite Save

Interactive Natural Language Explanations of Cyc Inferences. D Baxter, B Shepard, N Siegel, B Gottesman… – ExaCt, 2005 – aaai.org … Abstract* This paper describes the inference explanation capabilities of Cyc, a logical reasoning system that includes a huge “com- monsense” knowledge base and an inference engine that sup- ports both question answering and hypothesis generation. … Cited by 6 Related articles All 6 versions Cite Save

Improving the Performance of LVCSR Using Ensemble of Acoustic Models R Zhang – 2006 – cs.cmu.edu Page 1. Improving the Performance of LVCSR Using Ensemble of Acoustic Models Thesis Proposal By Rong Zhang Language Technologies Institute School of Computer Science Carnegie Mellon University May, 2006 Committee: Alexander Rudnicky Tanja Schultz … Related articles Cite Save More

An embodied cognition approach to mindreading skills for socially intelligent robots C Breazeal, J Gray, M Berlin – The International Journal of Robotics …, 2009 – ijr.sagepub.com Page 1. Cynthia Breazeal Jesse Gray Matt Berlin The Media Laboratory, MIT, Wiesner Building, E15, 20 Ames Street, Cambridge, MA 02139-4307, USA {cynthiab, jg, mattb}@media.mit.edu An Embodied Cognition Approach to Mindreading Skills for Socially Intelligent Robots … Cited by 39 Related articles All 4 versions Cite Save

Finding Patterns in User Quality Judgements MK Wolters, F Godde, S Moller, KP Engelbrecht – 2010 – era.lib.ed.ac.uk … important because we are using clustering to generate hy- potheses about the typology of people who interact with spoken dialogue systems. … the three-cluster solutions are slightly unstable, and that two-cluster solutions provide a more reliable basis for hypothesis generation. … Related articles All 13 versions Cite Save

Finite state grammar transduction from distributed collected knowledge R Gupta, K Hennacy – Computational Linguistics and Intelligent Text …, 2006 – Springer … the two-pass approach is due to the acceptance criteria introduced by passing candidate phrases from the SLM hypothesis generator through the … E., Hiatt, L., Aist, G., Hieronymus, J., Gru- enstein, A., Dowding, J.: Targeted help for spoken dialogue systems: intelligent feedback … Cited by 2 Related articles All 10 versions Cite Save

The AI Behind Watson—The Technical Article AI Magazine – AI Magazine, 2010 – aaai.org … We refer to search performed in hypothesis generation as “primary search” to distinguish it from search performed during evidence gathering (described … Chu-Carroll is on the editorial board of the Journal of Dialogue Systems, and previously served on the executive board of the … Related articles All 2 versions Cite Save

Quality Assessment for Speaker Diarization and Its Application in Speaker Characterization C Vaquero, A Ortega, A Miguel… – Audio, Speech, and …, 2013 – ieeexplore.ieee.org Page 1. Copyright(c)2011IEEE.Personaluseispermitted.Foranyotherpurposes, permissionmustbeobtainedfromtheIEEEbyemailingpubs-permissions@ieee.org. Thisarticlehasbeenacceptedforpublicationinafutureissueofthisjournal … Related articles All 3 versions Cite Save

CO-WORKER: Toward Real-Time and Context-Aware Systems for Human Collaborative Knowledge Building S Squartini, A Esposito – Cognitive Computation, 2012 – Springer … tools for supporting intelligent knowledge building, intelligent reasoning and decision-making strategies, as well as intelligent dialog systems. … The former gives useful guidelines to build scaffolds for cognitive processes like hypothesis generation, data interpretation, and … Related articles All 5 versions Cite Save

Alignment-Based Learner J Geertzen, MM van Zaanen – 2006 – mlnl.net … Be- cause comparing sentences that have no words in common will never result in hypothesis generation, the number of pairwise comparisons can be reduced: When comparing Algorithm 1 with Algorithm 2 in terms of runtime complexity, we can see that in Algorithm 2 … Related articles Cite Save More

Review of research on speech technology: main contributions from Spanish research groups R San-Segundo… – Journal of Speech …, 2012 – journalofspeechsciences.org … 6 Spoken Language Applications This section includes spoken language understanding and translation, spoken dialogue systems, voice-activated question answering (QA), and applications for people with special needs. 6.1 … Cited by 2 Related articles All 5 versions Cite Save

Parallel corpora, alignment technologies and further prospects in multilingual resources and technology infrastructure I Tufis, R Ion – … Conference on Speech and Dialogue Systems, 2007 – tutankhamon.racai.ro … aligner. The sentence aligner consists of a hypothesis generator which creates a list of plausible sentence alignments from the parallel corpus (see [6] for more details) and a filter which removes the improbable alignments. The … Cited by 7 Related articles All 4 versions Cite Save More

Special questions and techniques JM Prager, EW Brown… – IBM Journal of Research …, 2012 – ieeexplore.ieee.org … AUTHORS’ RHYME TIME: Ian’s Scandinavian rodents. (Answer: BFleming’s lemmings[) To solve these questions, the system runs Hypothesis Generation on each SubQuestionSpan to generate the precandidates and then synthesizes final candidate answers as follows: … Cited by 10 Related articles All 3 versions Cite Save

Proposal of a System and Methods for Integrating Literature and Data D Pellegrino – 2010 – donpellegrino.com … Swanson used computational analysis of citation data to infer syllogistic relationships between clusters of medical literature. It is notable that he used Garfield’s ISI Science Citation Index via the DIALOG system for his work. With his approach he “… demonstrated that, at least … Related articles All 2 versions Cite Save More

An incremental model of anaphora and reference resolution based on resource situations M Poesio, H Rieser – Dialogue & Discourse, 2011 – elanguage.net … The evidence on incremental interpretation and parallel hypothesis generation discussed in section 2 suggests that utterance interpretation is a form of defeasible inference in which competing hypothe- ses are activated, one of which is rapidly selected, whereas the other ones … Cited by 7 Related articles All 6 versions Cite Save

Making an Effective Use of Speech Data for Acoustic Modeling R Zhang – 2007 – Citeseer … thesis. We begin with a brief introduction of continuous speech recognition process, including discussions from feature extraction to hypothesis generation. Specially, we describe important modules and techniques employed … Cited by 3 Related articles All 4 versions Cite Save More

Interactive visualization systems and data integration methods for supporting discovery in collections of scientific information DA Pellegrino Jr – 2011 – DTIC Document Page 1. Interactive Visualization Systems and Data Integration Methods for Supporting Discovery in Collections of Scientific Information A Thesis Submitted to the Faculty of Drexel University by Donald Anthony Pellegrino Jr. in partial fulfillment of the requirements for the degree … Cited by 1 Related articles All 5 versions Cite Save

Intelligent techniques for context-aware systems N Sánchez Pi – 2011 – e-archivo.uc3m.es … 28 2.4 Dialogue systems for context-awareness . . . . . … 88 3.3.1 Multimodal user interface for centralized system: Dialogue system . . 91 3.3.2 Multimodal user interface for distributed system: Conversational Agent 95 3.4 Evaluation in AmI . . . . . … Related articles All 3 versions Cite Save

[BOOK] A Knowledge Base and Question Answering System Based on Loglan and English S Linker – 2011 – gradworks.umi.com Page 1. A Knowledge Base and Question Answering System Based on Loglan and English by Sheldon Linker A dissertation submitted to the Graduate Faculty of Auburn University in partial fulfillment of the requirements for the Degree Doctor of Philosophy … Related articles All 6 versions Cite Save

[BOOK] Phonetic Search Methods for Large Speech Databases A Moyal, V Aharonson, E Tetariy, M Gishri – 2013 – books.google.com … Some of the topics covered in this series include the presenta- tion of real life commercial deployment of spoken dialog systems, contemporary methods of speech parameterization, developments in information security for automated speech, forensic speaker recognition, use … Related articles All 6 versions Cite Save More DESCRIBING THE INTERACTIVE DOMESTIC ROBOT SETUP FOR THE SERA PROJECT S Creer, S Cunningham, M Hawley… – Applied Artificial …, 2011 – Taylor & Francis Cited by 3 Related articles All 3 versions Cite Save

Mathematical Basis of Knowledge Discovery and Autonomous Intelligent Architectures-Voice Operated Flying Object A Ronzhin, A Karpov, I Lee, Y Kosarev – 2005 – DTIC Document … Types of adaptation mentioned above allow to make the performance of the speech dialogue system more robust to various deviations, which arise at the input of the system or … hypothesis generation methods when the word templates/models of the given vocabulary are … Related articles All 2 versions Cite Save

Twelve angry men or one good woman? Asymmetric relations in evidentiary reasoning B Schafer – 2008 – books.google.com Page 273. Chapter 10 Twelve Angry Men or One Good Woman? Asymmetric Relations in Evidentiary Reasoning1 Burkhard Schafer 1. Introduction and Methodological Preliminaries Over the past couple of years, analysis of … Cited by 1 Related articles All 2 versions Cite Save

Discriminative reranking for spoken language understanding M Dinarelli, A Moschitti… – Audio, Speech, and …, 2012 – ieeexplore.ieee.org Page 1. Copyright (c) 2011 IEEE. Personal use is permitted. For any other purposes, permission must be obtained from the IEEE by emailing pubs-permissions@ieee.org. This article has been accepted for publication in a future issue of this journal, but has not been fully edited. … Cited by 5 Related articles All 6 versions Cite Save

Making novel connections between literature and data DA Pellegrino Jr – 2009 – donpellegrino.com … clusters of medical literature. It is notable that he used Garfield’s ISI Science Citation Index via the DIALOG system for his work. With his approach he “…demonstrated that, at least qualitatively, the most successful attempts to treat Raynaud’s syndrome tend to produce the same … Related articles All 4 versions Cite Save More

Bring Common Ground Into Robotics K Lee, JH Hwang, DS Kwon, H Choo – International Journal of …, 2011 – World Scientific Page 1. S021984361100254X International Journal of Humanoid Robotics Vol. 8, No. 3 (2011) 607–629 c© World Scientific Publishing Company DOI: 10.1142/ S021984361100254X BRING COMMON GROUND INTO ROBOTICS … Cited by 1 Related articles All 3 versions Cite Save

Habilitation A Diriger Les Recherches F LEFEVRE – lia.univ-avignon.fr … Laboratoire d’Informatique d’Avignon Page 2. 2 Page 3. Summary This dissertation presents my efforts into proposing and studying new methods for the development of robust spoken dialog systems (SDS). … 7 1.2 Spoken Dialog Systems – An introduction . . . . . … Related articles All 4 versions Cite Save More

Moving beyond the lexical layer in parsing conversational speech JG Kahn – 2005 – crow.ee.washington.edu … 87 6.1.1 Evaluation . . . . . 88 6.1.2 ASR hypothesis generation . . . . . 90 6.1.3 Parse hypothesis generation . . . . . 91 6.1.4 Feature extraction . . . . . 92 … Cited by 8 Related articles All 9 versions Cite Save More

Multi-sensor based Localization and Tracking for Intelligent Environments DMGBR Antunes – 2011 – dspace.ist.utl.pt … 69 5.8 Discussion: Integration with a dialog system . . … 2. Part of the resident tracking application, in particular the discussion of the integration of the resident tracking system with a dialog system, was published in EUROCON 2011: David Antunes, David Matos, and José Gaspar. … Related articles Cite Save More

Decision-Theoretic Narrative Planning for Guided Exploratory Learning Environments BW Mott – 2006 – repository.lib.ncsu.edu … “story-centric” problem-solving activities. Classically, intelligent tutoring systems (Carbonell 1970) were envisioned as essentially dialogue systems that would emulate the conversational give-and-take of tutorial discourse. In contrast, narrative-centered learning … Cited by 3 Related articles All 2 versions Cite Save

Introduction to Discriminative Training in Speech Recognition R Schlüter, G Heigold – 2010 – scale.uni-saarland.de Page 1. Introduction to Discriminative Training in Speech Recognition Ralf Schlüter, Georg Heigold Lehrstuhl für Informatik 6 Human Language Technology and Pattern Recognition Computer Science Department, RWTH Aachen University D-52056 Aachen, Germany … Related articles Cite Save More

Strategy selection: An introduction to the modeling challenge JN Marewski, D Link – Wiley Interdisciplinary Reviews: …, 2014 – Wiley Online Library Skip to Main Content. Wiley Online Library. Log in / Register. Log In E-Mail Address Password Forgotten Password? Remember Me. … Related articles All 3 versions Cite Save

Recognizing Textual Entailment: Models and Applications I Dagan, D Roth, M Sammons… – Synthesis Lectures on …, 2013 – morganclaypool.com … Data-Intensive Text Processing with MapReduce Jimmy Lin and Chris Dyer 2010 Semantic Role Labeling Martha Palmer, Daniel Gildea, and Nianwen Xue 2010 Spoken Dialogue Systems Kristiina Jokinen and Michael McTear 2009 Page 7. v … Cited by 2 Related articles All 2 versions Cite Save More

In search for the conversational homunculus: serving to understand spoken human face-to-face interaction J Edlund – 2011 – diva-portal.org … This book compiles and summarizes that work: it sets out with a presenting and providing background and motivation for the long-term research goal of creating a humanlike spoken dialogue system, and continues along the lines of an initial iteration of an iterative research … Cited by 1 Related articles All 6 versions Cite Save

Refining Tailored Scaffolding for Meta-Cognitive Skills during Analogical Problem Solving K Muldner, C Conati – Workshop on Metacognition and Self-Regulated …, 2007 – Citeseer … There has also been work on supporting other meta- cognitive skills, including effective help seeking [17], hypothesis generation during exploration [18 … 1. Aleven, V., O. Popescu, C. Torrey, & K. Koedinger (2004) Evaluating the Effectiveness of a Tutorial Dialogue System for Self … Cited by 1 Related articles All 5 versions Cite Save More

Human-robot interaction and mapping with a service robot: Human augmented mapping EA Topp – 2008 – diva-portal.org Page 1. Human-Robot Interaction and Mapping with a Service Robot: Human Augmented Mapping ELIN ANNA TOPP Doctoral Thesis Stockholm, Sweden 2008 Page 2. TRITA-CSC-A 2008:12 ISSN-1653-5723 ISRN-KTH/CSC/A–08/12–SE ISBN 978–91–7415–118–3 … Cited by 9 Related articles All 7 versions Cite Save

Initial steps toward human augmented mapping EA Topp – 2006 – diva-portal.org Page 1. Initial Steps Torward Human Augmented Mapping ELIN ANNA TOPP Licentiate Thesis Stockholm, Sweden 2006 Page 2. TRITA-CSC-A 2006:13 ISSN-1653-5723 ISRN-KTH/CSC/A–06/13–SE ISBN 91-7178-452-7 KTH … Cited by 4 Related articles All 3 versions Cite Save

Learning to troubleshoot: Multistrategy learning of diagnostic knowledge for a real-word problem solving task A Ram, S Narayanan, MT Cox – cc.gatech.edu … objective evaluation of the model. The user interaction in the current implementation of the system is very simple since that was not the focus of our research; however, it would be relatively easy to include a more sophisticated dialog system if desired. . … Related articles All 11 versions Cite Save More

Scalable graph-based learning applied to human language technology A Alexandrescu – 2009 – researchgate.net … are percolating through the fabric of our society. Speech interfaces for automated phone dialog systems not only make it more difficult to reach an actual human customer service representative, but act increasingly less distinguishable … Cited by 1 Related articles All 5 versions Cite Save More

Common ground, relevance and other notions of pragmatics: from peirce to grice and beyond AV Pietarinen – Signs of logic: Peircean themes on the philosophy of …, 2006 – Springer Page 1. Chapter 12 COMMON GROUND, RELEVANCE AND OTHER NOTIONS OF PRAGMATICS: FROM PEIRCE TO GRICE AND BEYOND According to the orthodox view of pragmatics, the esteemed notion of the common … Related articles Cite Save Artificial intelligence and formalisms for legal evidence: An introduction E Nissan, AA Martino – 2010 – Taylor & Francis Cited by 7 Related articles All 3 versions Cite Save

Disfluency in Swedish human–human and human–machine travel booking dialogues R Eklund – 2004 – diva-portal.org … Also, thanks to my present colleague Joakim Gustafson, who—besides being a stimulating sounding board within the applied field—made me aware of interesting work on dialog system development, as well as providing an array of interesting and valid comments on the … Cited by 49 Related articles All 11 versions Cite Save

Understanding the embodied teacher: nonverbal cues for sociable robot learning MR Berlin – 2008 – dspace.mit.edu Page 1. Understanding the Embodied Teacher: Nonverbal Cues for Sociable Robot Learning by Matthew Roberts Berlin SM, Media Arts and Sciences, Massachusetts Institute of Technology, 2003 AB, Computer Science, Harvard College, 2001 … Related articles All 3 versions Cite Save

Acoustic Modeling for Automatic Recognition of Children’s Speech M Gerosa – 2006 – static.digns.com … technology. Spoken dialog systems, as for example the response to train timetable … connected together with probabilistic links whose probabilities are derived from LMs. Word hypothesis generation Given acoustic observations x = x1,x2, … , … Related articles Cite Save More

Fundamental Language Resources C Hashimoto, JH Oh, M Sano, T Kawada – Journal of the National Institute …, 2012 – nict.go.jp … been bringing together knowledge and exper- tise of researchers from industries, academia, research institutions and the government for conducting its researches including the devel- opment of text and speech translation systems, spoken dialogue systems, and information … Related articles All 2 versions Cite Save More

Abstraction of reasoning for problem solving and tutoring assistants V Le – 2008 – digilib.gmu.edu Abstraction of Reasoning For Problem Solving and Tutoring Assistants A dissertation submitted in partial fulfillment of the requirements for the degree of Doctor of Philosophy at George Mason University By Vu Le Master of Science George Mason University, 1999 Co-Director … Cited by 1 Related articles All 4 versions Cite Save

Combining Natural Language Processing and Statistical Text Mining: A Study of Specialized Versus Common Languages J Jarman – 2011 – scholarcommons.usf.edu … magnesium with migraine headaches (Swanson, 1988). These discoveries led to work on more au- tomated hypothesis generation approaches based on text mining the medical literature (Swanson, 1987, 1989, 1990; Smallheiser and Swanson, 2007a, b, 1998). … All 2 versions Cite Save

Smartphone input method performance, satisfaction, workload, and preference with younger and older novice adults AL Smith – 2013 – soar.wichita.edu Page 1. SMARTPHONE INPUT METHOD PERFORMANCE, SATISFACTION, WORKLOAD, AND PREFERENCE WITH YOUNGER AND OLDER NOVICE ADULTS A Dissertation by Amanda Lynn Smith Master of Arts, Wichita State University, 2009 … Related articles All 3 versions Cite Save