Notes:
Semantic networks are a type of knowledge representation that uses a graph-like structure to represent the relationships between different concepts. In a semantic network, nodes represent concepts, and edges represent the relationships between those concepts. This allows for the representation of complex ideas and relationships in a way that is easy to understand and manipulate.
In the context of dialog systems, semantic networks can be used to represent the knowledge and beliefs of the system, as well as the relationships between different pieces of information. This can be used to enable the system to understand the meaning of user input and generate appropriate responses. For example, if a user asks a question about a particular concept, the semantic network can be used to identify related concepts and use that information to generate a response.
- Semantic Network Language Generation (SNLG) is a type of natural language generation (NLG) method that uses a semantic network representation to generate text. A semantic network is a type of data structure that represents the relationships between concepts and objects in a domain. SNLG systems use the relationships and connections within the semantic network to generate coherent and natural-sounding text that conveys the meaning and content of the network.
- Semantic Network Serialization Grammar (SNSG) is a formal grammar for serializing semantic networks into a string representation. SNSG is used to represent the structure and content of a semantic network in a way that can be easily transmitted or stored, and can be used to exchange semantic networks between different systems or environments. SNSG grammars are typically defined using a formal language, such as Backus-Naur Form (BNF) or Extended Backus-Naur Form (EBNF).
Wikipedia:
See also:
Grammatico-Semantic Analysis | LSA (Latent Semantic Analysis) & Dialog Systems | LSI (Latent Semantic Indexing) & Dialog Systems | LSM (Latent Semantic Mapping) | MultiNet (Multilayered Extended Semantic Networks) | PLSA (Probabilistic Latent Semantic Analysis) & Dialog Systems | Question Semantic Representation (QSR) | Semantic Grammars & Dialog Systems | Semantic Tags & Dialog Systems | Semantic Web Reasoning | SemanticQA
An application of reinforcement learning to dialogue strategy selection in a spoken dialogue system for email [PDF] from arxiv.org MA Walker – Arxiv preprint arXiv:1106.0241, 2011 – arxiv.org … An Application of Reinforcement Learning to Dialogue Strategy Selection in a Spoken Dialogue System for Email … In the past several years, it has become possible to build spoken dialogue systems that can communicate with humans over the telephone in real time. … Cited by 132 – Related articles – All 38 versions
Evaluation of a hierarchical reinforcement learning spoken dialogue system [PDF] from cnrs.fr H Cuayáhuitl, S Renals, O Lemon… – Computer Speech & …, 2010 – Elsevier … Permissions & Reprints. Evaluation of a hierarchical reinforcement learning spoken dialogue system. … Keywords: Spoken dialogue systems; Hierarchical reinforcement learning; Human-machine dialogue simulation; Dialogue strategies; System evaluation. Article Outline. … Cited by 14 – Related articles – All 12 versions
[PDF] Computational Semantics IWCS 2011 [PDF] from rug.nl J Bos… – 2011 – acl.eldoc.ub.rug.nl … 360 Incremental Semantic Construction in a Dialogue System MatthewPurver, ArashEshghi,JulianHough . . . . . … 385 Semantic Relatedness from Automatically Generated Semantic Networks Pia-RamonaWojtinnek,StephenPulman . . . . . … View as HTML – All 5 versions
A Spontaneous Topic Change of Dialogue for Conversational Agent Based on Human Cognition and Memory S Lim, K Oh… – Agents and Artificial Intelligence, 2011 – Springer … Science 253(5026), 1380-1386 (1991) 12. Sowa, JF: Semantic networks revised and extended for the second edition. In: Encyclope- dia of Artificial Intelligence. … Lim, S., Cho, S.-B.: CAML: Conversational agent markup language for application- independent dialogue system. … Related articles – All 2 versions
Emotion recognition of affective speech based on multiple classifiers using acoustic-prosodic information and semantic labels C Wu, W Liang – Affective Computing, IEEE Transactions on, 2011 – ieeexplore.ieee.org … However, the applications of SDSs are still limited to simple informational dialog systems, such as navigation systems, air travel … structure of a sentence [5]. A semantic network-based emotion recognition mechanism [5] was proposed using emotional keywords, semantic … Cited by 7 – Related articles – All 4 versions
Visualizing common sense connections with Luminoso R Speer, C Havasi, N Treadway… – Proceedings of the first …, 2010 – dl.acm.org … INTRODUCTION When people express their opinions in large quantities through surveys, forums, comments, and dialogue systems, these opinions contain a … We aid the discovery of semantic correlations us- ing less data by adding a semantic network of background common … Cited by 2 – Related articles
Semantic Network Language Generation based on a Semantic Networks Serialization Grammar Y Dai, S Zhang, J Chen, T Chen… – World Wide Web, 2010 – Springer … semantic network. Typical semantic networks in ontology systems, Semantic Wiki systems or SN based dialogue systems are all classified semantic networks. This paper studies the classified semantic networks. The classification … Related articles – All 5 versions
[BOOK] Spoken Language Understanding: Systems for Extracting Semantic Information from Speech G Tur, R De Mori – 2011 – books.google.com … Handling Speech in QA Systems 6.3 QA Evaluation Campaigns 6.4 Question-answering systems 6.5 Projects Integrating Spoken Requests and Question Answering 6.6 Conclusions References Chapter 7: SLU in Commercial and Research Spoken Dialogue Systems 7.1 Why … Cited by 7 – Related articles – Library Search
Adapting research-tested computerized tailored interventions for broader dissemination and implementation C Vinson, T Bickmore, D Farrell… – Translational …, 2011 – Springer … edu). TBM page 6 of 10 Page 7. DTask and LiteBody–DTask is an open-source toolkit for building CTI deployed as dialogue systems, in which users have interactive “conversa- tions” with the system [3, 10]. Telephone-based … Cited by 1 – All 2 versions
Utterance Selection for Speech Acts in a Cognitive Tourguide Scenario [PDF] from kit.edu F Putze… – Eleventh Annual Conference of the …, 2010 – isca-speech.org … Therefore, we need to integrate components in our dialog systems that are able to explicitly model, predict, and cope with this imperfect user … long and short time mem- ory [1] or not [2]) and their style of knowledge representation (eg first order logic, frames, semantic networks). … Cited by 2 – Related articles – All 4 versions
Towards Understanding Spoken Tunisian Dialect M Graja, M Jaoua… – Neural Information Processing, 2011 – Springer … the staff and customers who request information about the departure time, price, booking, etc [8]. In an understanding module of a dialogue system, we annotate … At the end of this phase, we get a semantic network represented by a set of concepts linked by semantic relations. …
[PDF] Evaluation of Utterances based on Causal Knowledge Retrieved from Blogs [PDF] from hokudai.ac.jp M Fujita, R Rzepka, K Araki – Signal and …, 2011 – arakilab.media.eng.hokudai.ac.jp … Third, we confirmed the per- formance of a dialogue system that utilizes causal knowl- edge namely, that the system gives the user an impres- sion that it can reason … [14] C. Havasi, R. Speer and J. Alonso, ConceptNet 3: a Flexible, Multilingual Semantic Network for Common … Related articles – View as HTML – All 3 versions
Intelligent assistance for conversational storytelling using story patterns [PDF] from mit.edu PY Chi… – Proceedings of the 15th international conference …, 2011 – dl.acm.org … explicitly as a relation. Currently, the knowledge base in English has over a million assertions from over 15,000 contributors. This collected data is then represented by ConceptNet as a semantic network [19]. In addition to a … Cited by 1 – Related articles – All 5 versions
MAY: my memories are yours [PDF] from utl.pt J Campos… – Intelligent Virtual Agents, 2010 – Springer … MAY’s dialogue system uses a modified version of ALICE3, an engine that uses AIML (Artificial Intelligence Markup Language) to create … Sci- ences 356, 1375-1384 (2001) 6. Havasi, C., Speer, R., Alonso, J.: Conceptnet 3: a flexible, multilingual semantic network for common … Cited by 1 – Related articles – All 4 versions
Application domain and functional classification of recommender systems-a survey [PDF] from drdo.gov.in K Nageswara Rao – DESIDOC Journal of Library & …, 2010 – publications.drdo.gov.in Page 1. DESIDOC Journal of Library & Information Technology, Vol. 28, No. 3, May 2008, pp. 17-35 (c) 2008, DESIDOC 17 Received on 8 January 2008 Application Domain and Functional Classification of Recommender Systems-A Survey K. Nageswara Rao … Cited by 44 – Related articles – All 7 versions
Creating a general collaborative dialogue agent with lounge strategy feature T Nestorovic – Expert Systems With Applications, 2011 – Elsevier … Management System Utterance Generation Speech Synthesizer A/DD/A Automatic Speech Recognition Parser Dialogue Manager Dialogue System application Highlights … the Departure can be perceived as its specification, we aim to stick to the semantic networks concept of … Related articles – All 2 versions
eHealth Service Discovery Framework: A Case Study in Ethiopia T Tegegne… – Information Quality in e-Health, 2011 – Springer … An automated dialogue system answers the call, asking Alexander the following in- formation: name, age, address, when did he start antiretroviral treatment, when the new symptoms started and how severe they are, and also asks if he has any allergy. …
Detection of Affective States From Text and Speech for Real-Time Human-Computer Interaction RA Calix, L Javadpour… – Human Factors: The Journal …, 2011 – hfs.sagepub.com Page 1. Objective:The goal of this work is to develop and test an automated system methodology that can detect emotion from text and speech features. Background: Affective human-computer interac- tion will be critical for the …
[PDF] Building a Discourse-annotated Dutch Text Corpus [PDF] from rub.de N van der Vliet, I Berzlánovich… – Bochumer …, 2011 – linguistics.rub.de … from the semantic network of the lexical items in the text (Halliday and Hasan (1976); Halliday and Matthiessen (2004)). … In Proceedings of the 2nd IJCAI Workshop on Knowledge and Reasoning in Practical Dialogue Systems, pages 45-50, 2001. Michael O’Donnell. … Cited by 3 – Related articles – View as HTML – All 10 versions
A semantic model for actions and events in ambient intelligence MJ Santofimia, SE Fahlman, X del Toro… – … Applications of Artificial …, 2011 – Elsevier … 2006). In contrast to the property system approach followed by Cyc, ConceptNet resorts to acquiring knowledge from the general public. ConceptNet adopts a semantic network structure similar to WordNet. Nevertheless, when … Cited by 1 – Related articles – All 2 versions
On the Way towards Standardized Semantic Corpora for Development of Semantic Analysis Systems [PDF] from thinkmind.org I Habernal… – SEMAPRO 2010, The Fourth International …, 2010 – thinkmind.org … In human-computer dialogue systems, the task of the SLU system is to process the input acoustic utterance and transform it into a semantic … The semantic rep- resentation formalism is based upon semantic networks and the tectogrammatical layer partially depends on syntax [13 … Related articles
[PDF] Hybrid Intelligent Systems in Ubiquitous Computing [PDF] from insycom.ru AV Gavrilov – Designing Solutions-Based Ubiquitous and Pervasive …, 2010 – insycom.ru … IEEE Expert, 10(4), 32-40. Gavrilov AV (1988). Dialog system for preparing of programs for robot, Automatyka, v.99, Glivice, Poland, 173-180 (in Russian). Gavrilov AV (2003). A combination of Neural and Semantic Networks in Natural Language Processing. … Cited by 1 – Related articles – View as HTML – All 4 versions
[HTML] Interaction and Service Design Research Group (IxS) [HTML] from liu.se S Holmlid – 2010 – ida.liu.se … It is often assumed that the situation of use for dialogue systems (systems that you talk or write to in natural language) is one user in front of one computer or … Design and programming of an environment for the interactive construction of a semantic network between objects. … Cached – All 3 versions
Building Ontologies to Understand Spoken Tunisian Dialect [PDF] from arxiv.org M Graja, M Jaoua… – Arxiv preprint arXiv:1109.0624, 2011 – arxiv.org … 26 In an understanding module of a dialogue system, we are interested in user utterances. … At the end of this phase, we get a semantic network represented by a set of concepts linked by semantic relations. As example of standardization, the lexical group { … Related articles – All 5 versions
The Linguisticality of Understanding: Thoughts on Representation and Comprehension in Machine Translation and Intelligent Decision Support R Bolia… – Intelligent Systems, IEEE, 2011 – ieeexplore.ieee.org … system is the Open Mind Common Sense (OMCS) Project27,28,29 with the ConceptNet semantic network and the Divisi reasoning system (see http://openmind.media.mit.edu). … Page 18. semistructured English text. Second, the knowledge is encoded in a semantic network … Related articles – All 5 versions
JAM: Java-based Associative Memory R Pröpper, F Putze… – … Integration in Spoken Dialogue Systems …, 2011 – Springer … [4] C. Havasi, R. Speer, and Jason B. Alonso. ConceptNet 3: a Flexible, Multilin- gual Semantic Network for Common Sense Knowledge. Recent Advances in Natural Language, 2007. … Agenda- based user simulation for bootstrapping a pomdp dialogue system. In Human … Related articles – All 2 versions
Knowledge-based system for supporting radiological assessment and diagnostics V Canda – US Patent 7,996,240, 2011 – Google Patents … Such an expert system directs the physician in the manner of a dialog system through a tree of decision points by means of questions … a different knowledge representation than that in the fonn of rules would also be conceivable, for example in the form of a semantic network. … Related articles – All 4 versions
Semantic and phonetic automatic reconstruction of medical dictations S Petrik, C Drexel, L Fessler, J Jancsary… – Computer Speech & …, 2011 – Elsevier … Language Volume 25, Issue 2, April 2011, Pages 363-385 Language and speech issues in the engineering of companionable dialogue systems. … is the Unified Medical Language System (UMLS, Lindberg et al., 1993), which includes a metathesaurus, a semantic network, and a … Related articles – All 3 versions
Robotized cell remote control using voice commands in natural language A Rogowski – Methods and Models in Automation and …, 2010 – ieeexplore.ieee.org … Semantic networks are the useful tool for processing voice commands [5]. Reference [6] discusses the process from text to robot action via semantic … REFERENCES [1] T. Matsui et al., “Integrated natural spoken dialogue system of Jijo-2 mobile robot for office services,” Proc. … Cited by 1 – Related articles
[PDF] The Automotive Ontology: Managing Knowledge Inside the Vehicle and Sharing it Between Cars [PDF] from auto-ui.org M Feld… – Proceedings of AutomotiveUI, 2011 – auto-ui.org … H.3.4 [Systems and Software]: Information networks, User profiles and alert services; I.2.4 [Knowledge Represen- tation Formalisms and Methods]: Representation lan- guages, Semantic networks … Dialog systems are heavily based on knowledge in this branch of the ontology. … Cited by 1 – View as HTML
Multimodal information processing for affective computing J Tao – Speech Technology, 2010 – Springer … and the recognition of emotional states, gestures, speech and facial expressions, in anticipation of the implementation of intelligent avatars and interactive dialogue systems that could be … Emotion recognition from textual input using an emo- tional semantic network. In: Int. Conf. … Cited by 1 – Related articles – All 2 versions
[PDF] META-NORD: Baltic and Nordic Branch of the European Open Linguistic Infrastructure [PDF] from hi.is A Vasiljevs, BS Pedersen, K De Smedt, L Borin… – 2011 – notendur.hi.is … Page 4. puter Assisted Language Learning (CALL), speech input, speech output, dialogue systems, document production, information access and translation applications as dependent of word- nets. … EuroWordNet, A Multilingual Database with Lexical Semantic Networks. … Related articles – View as HTML – All 4 versions
Embodied Language Processing: A New gGeneration of Language Technology K Pastra, E Balta, P Dimitrakis… – Workshops at the Twenty- …, 2011 – aaai.org … Similarly, automatic text indexing and retrieval technology is behind powerful search engines on the web, while dialogue systems are increasingly used in interactive voice response … definitions to interconnect the grounded concepts formulating a grounded semantic network. … Related articles – All 2 versions
METHOD AND SYSTEM FOR GENERATING A DOCUMENT REPRESENTATION K Dawson, J Dzialo, M Grochowski… – US Patent App. …, 2010 – freepatentsonline.com … The system interactively modifies semantic networks in response to user feedback, and produces personal semantic networks and document … AND METHOD FOR ROBUST EVALUATION OF THE USER EXPERIENCE IN AUTOMATED SPOKEN DIALOG SYSTEMS, April, 2010, … Cached
A Framework for Asynchronous Dialogue Systems: Concepts, Issues and Design Aspects [PDF] from utlib.ee M Treumuth – 2011 – dspace.utlib.ee … MARGUS TREUMUTH A Framework for Asynchronous Dialogue Systems: Concepts, Issues and Design Aspects … Tartu Ülikooli Kirjastus, 210-220. 5. Treumuth, M. (2007). A Method for Recognizing Temporal Expressions in Estonian Natural Language Dialogue Systems. … Cited by 3 – Related articles – All 2 versions
Improving Human-Computer Interaction by Developing Culture-sensitive Applications based on Common Sense Knowledge [PDF] from arxiv.org JC Anacleto… – Arxiv preprint arXiv:1001.0418, 2010 – arxiv.org … In order to be used by computer inference mechanisms, it is still necessary that the knowledge be represented in specifics structures such as semantic network or ontology. … After that, the knowledge is represented as semantic networks, called ConceptNets. … Cited by 4 – Related articles – All 7 versions
[PDF] Framework for Knowledge Discovery from Journal Articles Using Text Mining Techniques [PDF] from ajocict.net A Ojo… – African Journal of Computing & ICT, 2012 – ajocict.net … Fig 1: Simple Pipeline Architecture for a Spoken Dialogue System [7] … The software converts the unstructured data formats of articles, complaint forums, or Web pages into topic structures and semantic networks which are important data drilling tools. … View as HTML
Spoken Language Understanding: from Spoken Utterances to Semantic Structures [PDF] from unitn.it M Dinarelli – 2010 – eprints-phd.biblio.unitn.it … database. Following the ATIS project, DARPA Communicator project aimed at building a spoken dialog system automatically providing information on flights and travel reservation. … 104 7 SLU in Spoken Dialog Systems 109 7.1 Dialogue System Architecture . . . . . … Cited by 1 – Related articles
Ontology-Based Unified Robot Knowledge for Service Robots in Indoor Environments GH Lim, IH Suh… – … and Cybernetics, Part A: Systems and …, 2011 – ieeexplore.ieee.org … This knowledge can be represented as a semantic network or graph, both of which are capable of representing semantic relations between concepts. … A rule-based dialog system was proposed to extract the route instructions using an intermediate semantic representation [31]. … Cited by 2 – Related articles – All 2 versions
Semantic annotation of Italian legal texts: A FrameNet-based approach G Venturi – Constructions and Frames, 2011 – ingentaconnect.com … Dinarelli et al. (2009) also pursued a mul- tilingual goal within the LUNA project (Language UNderstanding in multilingAl communication systems),3 which is developing an advanced spoken dialog system for real-time understanding of spontaneous speech. … Related articles
Medical data mining: improving information accessibility using online patient drug reviews [PDF] from 18.7.29.232 S Seneff, YA Li – 2011 – 18.7.29.232 … to the domain specific applications of clinical decision making, medical dialogue systems, and diag- nosis. … NLP research. Resources within the UMLS include the Metathesaurus 1, composed of over 1 million biomedical concepts, the Semantic Network (which provides semnan- … Cited by 1 – Related articles – All 4 versions
[BOOK] Modern Approaches in Applied Intelligence: 24th International Conference on Industrial Engineering and Other Applications of Applied Intelligent Systems, … KG Mehrotra, CK Mohan, JC Oh, PK Varshney… – 2011 – books.google.com Page 1. Kishan G. Mehrotra Chilukuri K. Mohan Jae C. Oh Pramod K. Varshney Moonis AH (Eds.) Modern Approaches in Applied Intelligenc 24th International Conference on Industrial Engineering and Other Applications of … Related articles – Library Search – All 2 versions
A novel approach for question answering and automatic diagnosis based on pervasive agent ontology in medicine Q Guo – International Journal of Intelligent Systems, 2010 – Wiley Online Library … For this purpose, we probe into the information integration and question an- swering of SWPAO. 2. SEMANTIC NETWORK AND PERVASIVE AGENT ONTOLOGY IN MEDICINE Semantic network consist of nodes and arcs among nodes. … Figure 1. Semantic network of “chair.” … Related articles – All 3 versions
Characteristic factors and components of different modules in expert systems for intelligent tutoring system K Mishra… – International Journal of Advanced Intelligence …, 2011 – Inderscience … can be devised. Zhang et al. (2006) addressed the manual and automatic labelling of a particular type of user affect from spontaneous speech that they call the cognitive state in a tutorial dialogue system. Their definition of the … Related articles – All 6 versions
Generality Evaluation of Automatically Generated Knowledge for the Japanese ConceptNet [PDF] from hokudai.ac.jp R Rzepka, K Muramoto… – AI 2011: Advances in Artificial …, 2011 – Springer … Such broader definition increases capability of non-task oriented dialog systems which we are also working on. … Springer, Heidelberg (2002) 3. Havasi, C., Speer, R., Alonso, J.: ConceptNet 3: a Flexible, Multilingual Semantic Network for Common Sense Knowledge. …
[PDF] Taxonomy induction based on a collaboratively built knowledge repository [PDF] from uniroma1.it SP Ponzettoa… – Artificial Intelligence, 2011 – wwwusers.di.uniroma1.it … collaboratively generated encyclopedia. Our previous work on using the category network suggests that Wikipedia categories can be con- sidered a semantic network in its own right [104,85]. Unfortunately, Wikipedia categories … Cited by 1 – Related articles – View as HTML – All 6 versions
Situating spatial language and the role of ontology: Issues and outlook J Bateman – Language and Linguistics Compass, 2010 – Wiley Online Library Skip to Main Content. … Cited by 6 – Related articles
Semantic Architecture for Human Robot Interaction S Dourlens… – Semantic Agent Systems, 2011 – Springer … agents to other agents or to services. Events are single or composed and express the situational meaning for agents. We may call this event messaging network a semantic network. Figure 4 showed how to compose facts using … Related articles – All 2 versions
[PDF] Natural language specification improvement with ontologies [PDF] from uni-karlsruhe.de SJ KöRner… – International Journal of Semantic …, 2010 – ipd.uni-karlsruhe.de … We created a tool called RESIa to support requirement analysts working with textual specifications. RESI checks for linguistic defects [1, 2] in specifications and offers a dialog-system which makes suggestions to improve the text. … Cited by 3 – Related articles – View as HTML – All 9 versions
A computational neural model of goal-directed utterance selection [PDF] from yimg.com M Klein, H Kamp, G Palm… – Neural Networks, 2010 – Elsevier Related articles – All 6 versions
Semantic Analysis CG Macro-Categories – Handbook of natural language …, 2010 – books.google.com … 2007). Application domains also include information extraction, question answering, human-computer dialog systems, and text summarization. Ontologicalsemanticsisat heoryofmeaninginnaturallanguageandanapproachtonaturallanguage … Related articles
Adaptation and user modeling in hypermedia learning environments using the SEM-HP model and the JSEM-HP tool N Medina-Medina, F Molina-Ortiz… – … and Information Systems, 2010 – Springer … 15]; a three-dimensional UM (skill, knowledge, and urgency) used to generate cooperative responses to users in spoken dialogue systems [16]; and a … It is called “semantic” because it is based on semantic repre- sentations of hypermedia, such as semantic networks; it is called … Related articles
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Analysing Conversation CMIM Matthiessen… – The SAGE Handbook of …, 2010 – books.google.com Page 394. 26 Analysing Conversation Christian MIM Matthiessen and Diana Slade The magical power of talk derives from the fact that it is, in every instance, the manifestation of a systematic resource, a resource which has been … Related articles – All 2 versions
Is question answering fit for the semantic web?: a survey V Lopez, V Uren, M Sabou… – Semantic Web, 2011 – IOS Press … the difficulty of extracting the an- swer, in five increasingly sophisticated types: sys- tems capable of processing factual questions (facto- ids), systems enabling reasoning mechanisms, sys- tems that fuse answers from different sources, inter- active (dialog) systems and systems … Cited by 1 – Related articles – All 2 versions
Sources of World Knowledge E Ovchinnikova – Integration of World Knowledge for Natural Language …, 2012 – Springer … knowledge. The two examples of the early classical approaches to natural language understanding em- ploying semantic networks and frame representations are presented in (Woods et al., 1980) and (Bobrow et al., 1977). …
Standard audio format encapsulation (SAFE) H Beigi… – Telecommunication Systems, 2011 – Springer … She is also known for her work on lexical-semantic networks. … In D. Dahl (Ed.), Practical Spoken Dialog Systems and two articles in the SZ Li (Ed.), Encyclopedia of Biometrics), journal articles (eg, “Voice Biometrics: Speaker Recognition in the Real World” in Communications of … Cited by 1 – Related articles – All 4 versions
A goal-driven approach for service request modeling CHL Lee… – International Journal of Intelligent Systems, 2010 – Wiley Online Library … case retrieval. The descriptions usually are the feature set of the problem. Various representation methods can be applied here like lists, semantic networks, frames, and objects. Sometimes, scenarios are also used here. We … Cited by 1 – Related articles – All 2 versions
[CITATION] Interactive visualization systems and data integration methods for supporting discovery in collections of scientific information [PDF] from dtic.mil DA Pellegrino Jr – 2011 – Drexel University Related articles – Library Search – All 7 versions
An Iterative Method of Extracting Chinese ISA Relations for Ontology Learning [PDF] from academypublisher.com L Liu, S Zhang, L Diao… – Journal of Computers, 2010 – ojs.academypublisher.com … Especially, ISA relation acquisition is a more interesting and fundamental because ISA relation play a crucial role in various NLP (Natural Language Processing) systems, such as systems for information extraction, information retrieval, and dialog systems. … Related articles – All 8 versions
[BOOK] Advances in Cognitive Information Systems L Ogiela… – 2012 – books.google.com Page 1. Lidia Ogiela Marek R. Ogiela ‘ Q ))COSMOS 1 7 ))COGNlT|VE SYSTEMS MONOGRAPHS Advances in Cognitive Information Systems Page 2. Cognitive Systems Monographs Volume 17 Editors: Rüdiger Dillmann · Yoshihiko Nakamura · Stefan Schaal · David Vernon …
[PDF] Model of Knowledge Based Interaction [PDF] from iks-project.eu M Romanelli, S Germesin… – 2010 – iks-project.eu … 26 2.6.1 Dialog Systems….. 28 2.6 … 152 6.10 DIALOG SYSTEMS ….. 153 7 REFERENCES … Cited by 1 – Related articles – View as HTML – All 2 versions
Human-level performance on word analogy questions by latent relational analysis [PDF] from nrc-cnrc.gc.ca P Turney – 2010 – nparc.cisti-icist.nrc-cnrc.gc.ca … This problem was first attempted by a system called Argus (Reitman, 1965), using a small hand-built semantic network. … Tell me how to get out of Emacs. Human-computer dialogue systems are currently limited to very simple, literal language. … Cited by 5 – Related articles – All 12 versions
Extraction of Probabilistic Route Information Representations from Human-Robot Dialogs AM Bauer – 2010 – deposit.ddb.de … 26 3.4 Dialog System for Proactive Route Information Extraction . . . . . 29 3.4.1 System Overview . . . . . … 94 C Questionnaires 97 C.1 Questionnaire for Dialog-System Assessment . . . . . … Library Search
[PDF] Spoken Interaction with Synthetic Entities [PDF] from utl.pt ADF Ventura – 2010 – dspace.ist.utl.pt … Second, these systems exist in our world and must perform tasks in it. Thus, it is necessary to combine competencies of two types of systems: Dialog Systems and Agent Systems. … Interacç˜ao Verbal Keywords Dialog Systems Agent Systems Interpretation Spoken Interaction … Related articles – View as HTML
Construction and analysis of educational assessments using knowledge maps with weight appraisal of concepts CY Su, TI Wang – Computers & Education, 2010 – Elsevier … For instance, the terms mind maps, concept maps, reasoning maps, topic maps, or semantic networks and even ontology are commonly … Natural language processing technique can be used effectively in language-based domains, such as dialogue systems, speech recognition … Cited by 1 – Related articles – All 4 versions
Ontological technologies for user modelling [PDF] from pitt.edu S Sosnovsky… – International Journal of Metadata, …, 2010 – Inderscience … To elicit individual user models, intelligent dialog systems of the early user modelling age usually followed one of two ways: they either attempted to ask the user a fishing … The RDF model is similar to the Semantic Network formalism and could be visualised as a directed graph. … Cited by 3 – Related articles – All 11 versions
Agent-based dynamic support for learning from collaborative brainstorming in scientific inquiry HC Wang, CP Rosé… – International Journal of Computer- …, 2011 – Springer … Dugosh et al. 2000), idea generation can be viewed as the process building on the retrieval of information encoded in the stimulated portions of a semantic network stored in one’s long-term memory. New ideas are generated … Cited by 1 – Related articles – All 4 versions
Raconteur: intelligent assistance for conversational storytelling with media libraries [PDF] from mit.edu H Lieberman, PY Chi – 2010 – dspace.mit.edu Page 1. Raconteur: Intelligent Assistance for Conversational Storytelling with Media Libraries BY PEI-YU (PEGGY) CHI MASTER OF SCIENCE IN COMPUTER SCIENCE NATIONAL TAIWAN UNIVERSITY, 2008 BACHELOR … Related articles – All 2 versions
ActiveMath-generation and reuse of interactive exercises using domain reasoners and automated tutorial strategies [PDF] from uni-saarland.de G Goguadze – 2011 – scidok.sulb.uni-saarland.de Page 1. ActiveMath – Generation and Reuse of Interactive Exercises using Domain Reasoners and Automated Tutorial Strategies Giorgi Goguadze Dissertation zur Erlangung des Grades Doktor der Ingenieurswissenschaften … Cited by 2 – Related articles – All 2 versions
META-NORD: Towards Sharing of Language Resources in Nordic and Baltic Countries [PDF] from helsinki.fi I Skadina, A Vasiljevs, L Borin… – The 5th International …, 2011 – helda.helsinki.fi … The BLARK lists Computer Assisted Language Learning (CALL), speech input, speech output, dialogue systems, document production, infor- 109 Page 5. … EuroWordNet, A Multilingual Database with Lexical Semantic Networks. Klu- wer Academic Publishers, The Netherlands. …
Ontological reasoning for improving the treatment of emotions in text V Francisco, P Gervás… – Knowledge and Information Systems, 2010 – Springer … The most common language to formalize Semantic Web ontologies is OWL (Ontology Web Language [4]), a proposal of the W3C. The goal of this standard is to for- malize the semantics that was created ad hoc in old frame systems and semantic networks. … Cited by 4 – Related articles – All 6 versions
[PDF] Natural-language processing: Method of human-computer interaction [PDF] from bioinfo.in AB Khade, VS Gomase – 2010 – bioinfo.in Page 1. Journal of Machine Learning Technologies, ISSN: 2229-3965 & ISSN: 2229-3973, Volume 1, Issue, 1, 2010, PP-01-36 Copyright @ 2010, Bioinfo Publications Journal of Machine Learning Technologies, ISSN: 2229-3965 & ISSN: 2229-3973, Volume 1, Issue, 1, 2010 … Related articles – View as HTML
[PDF] MAY: my Memories Are Yours An interactive companion that saves the user’s memories [PDF] from utl.pt JCF de Campos – 2010 – ist.utl.pt … The project has now two completed prototypes: the Health and Fitness Companion, and the Senior Companion. Both proto- types highlight an advanced spoken dialogue system in the establishment of long term realtions with users. … Cited by 3 – Related articles – View as HTML – All 2 versions
A Computational Theory of the Use-Mention Distinction in Natural Language [PDF] from umd.edu S Wilson – 2011 – drum.lib.umd.edu … following will become possible: • Dialog systems can be designed to recognize when a user is attempting to … This was a prime motivation of this work, and contributions toward creating such a dialog system will be discussed in detail in the next section. … Related articles – All 2 versions
[PDF] Agreement Technologies Handbook Chapter Chapter on Norms (DRAFT) [PDF] from agreement-technologies.eu G Andrighetto… – 2011 – agreement-technologies.eu Page 1. Agreement Technologies Handbook Chapter Chapter on Norms (DRAFT) Giulia Andrighetto Institute of Cognitive Science and Technologies, CNR, Rome, Italy Cristiano Castelfranchi Institute of Cognitive Science and Technologies, CNR, Rome, Italy … View as HTML
[PDF] Explanation-aware Case-based Reasoning [PDF] from diva-portal.org MB Lillehaug – 2011 – ntnu.diva-portal.org Page 1. Master of Science in Computer Science June 2011 Anders Kofod-Petersen, IDI Submission date: Supervisor: Norwegian University of Science and Technology Department of Computer and Information Science Explanation-aware Case-based Reasoning … Cited by 1 – Related articles – View as HTML – All 2 versions
Learning to understand spatial language for robotic navigation and mobile manipulation [PDF] from mit.edu N Roy, TTF Kollar – 2011 – dspace.mit.edu Page 1. Learning to Understand Spatial Language for Robotic Navigation and Mobile Manipulation by MASSACHUSES INSTITE OF TECHNOLOGY Thomas Kollar JUN 17 2011 BS, University of Rochester (2004) SM, Massachusetts Institute of Technology (2007) LIBRARIES … All 2 versions
[BOOK] Integration of World Knowledge for Natural Language Understanding E Ovchinnikova – 2012 – books.google.com … entails the second one. Concerning natural language processing (NLP), this type of reasoning is intended to facilitate such applications as, for example, question answering, information extraction, and dialog systems. In spite of …
Trainable English generation with modifier and adjunct ordering [PDF] from umi.com H Zhong – 2010 – gradworks.umi.com … In Proceedings of the Workshop on Empirical and Statistical Approaches for Spoken Dialogue Systems at AAAI, 2006. • H. Guo and H. Zhong. … NLG has many appealing applications, including dialog systems, automatic question answering, automatic summarization … Related articles
A Computational Model for the Influence of Cross-Modal Context upon Syntactic Parsing P McCrae – 2010 – deposit.ddb.de Page 1. Universität Hamburg MIN-Fakultät Department Informatik A Computational Model for the Influence of Cross-Modal Context upon Syntactic Parsing Doctoral Thesis submitted by Patrick McCrae of Dublin Hamburg, March 2010 Page 2. … Cited by 1 – Related articles – Library Search – All 2 versions
Automated grammatical error detection for language learners C Leacock, M Chodorow, M Gamon… – Synthesis lectures on …, 2010 – morganclaypool.com … Semantic Role Labeling Martha Palmer, Daniel Gildea, and Nianwen Xue 2010 Spoken Dialogue Systems Kristiina Jokinen and Michael McTear 2009 … For both semantic reattachment and sense disambiguation, a semantic network called MindNet is used. … Cited by 17 – Related articles – Library Search – All 9 versions
[PDF] Intrinsic and Extrinsic Approaches to Recognizing Textual Entailment [PDF] from uni-saarland.de DP der Philosophischen – 2011 – coli.uni-saarland.de … Each utterance in the interpreted version is actually implied or entailed by the utterances in the original conversation. Con- sequently, if we want to build a dialogue system, dealing with this kind of implication or entailment is one of the key challenges. Let alone there … Related articles – View as HTML – All 2 versions
Combining Natural Language Processing And Statistical Text Mining: A Study Of Specialized Versus Common Languages [PDF] from usf.edu J Jarman – 2011 – scholarcommons.usf.edu Page 1. University of South Florida Scholar Commons Theses and Dissertations 1-1-2011 Combining Natural Language Processing and Statistical Text Mining: A Study of Specialized Versus Common Languages Jay Jarman University of South Florida, jay@jayjarman.com …
A framework for exploiting electronic documentation in support of innovation processes [TXT] from sun.ac.za JW Uys – 2010 – scholar.sun.ac.za Stellenbosch University Department of Industrial Engineering A Framework for Exploiting Electronic Documentation in Support of Innovation Processes JW Uys Dissertation presented for the degree of Doctor of Philosophy at Stellenbosch University. Promoter: Prof. … Cited by 3 – Related articles – All 6 versions