Notes:
Natural Language Processing (NLP) is a field of artificial intelligence that focuses on enabling computers to process, understand, and generate human language. There are many tools available for NLP tasks, and they can be used to build dialog systems, which are systems that can interact with users using natural language.
Some popular NLP tools include:
- spaCy: This is a widely-used NLP library for Python that offers tools for tokenization, lemmatization, dependency parsing, and more. It can be used to process and analyze text data for a variety of NLP tasks, including dialog systems.
- NLTK (Natural Language Toolkit): This is another popular NLP library for Python that provides tools for tokenization, stemming, parsing, and more. It can be used to build dialog systems, as well as for other NLP tasks.
- GPT-3 (Generative Pre-training Transformer 3): This is a large language model developed by OpenAI that can generate human-like text and perform various language tasks, including translation, summarization, and question answering. It can be used to build dialog systems that can generate responses to user inputs.
- Rasa: This is an open-source framework for building conversational AI systems, including chatbots and voice assistants. It provides tools for building and training models for natural language understanding and generation, as well as tools for managing and deploying dialog systems.
- Dialogflow: This is a cloud-based platform for building chatbots and voice assistants. It provides tools for building and training models for natural language understanding and generation, as well as tools for managing and deploying dialog systems.
Wikipedia:
- Language technology (aka Human Language Technology)
See also:
100 Best App Building Tools | 100 Best ARToolKit Videos | 100 Best Business Intelligence Tool Videos | 100 Best Fuzzy Logic Toolbox Videos | 100 Best Keyword Tool Videos | agentTool | ANTLR (ANother Tool for Language Recognition) 2013 | ANTLR (ANother Tool for Language Recognition) 2014 | App Building Tools Rated | CmapTools | Corpus Annotation Tools | CTAT (Cognitive Tutor Authoring Tools) | FAUST (Formal Analysis Using Specification Tools) | HTK (Hidden Markov Model Toolkit) & Dialog Systems | IBM WebSphere Voice Toolkit | IRSTLM (IRST Language Modeling) Toolkit 2013 | IRSTLM (IRST Language Modeling) Toolkit 2014 | Natural Language Processing Toolkits | PASSI Toolkit (PTK) | Prometheus Design Tool (PDT) | Sentiment Analysis Tools (Open Source) & Dialog Systems | SRILM Toolkit & Dialog Systems | TALK (Tools for Ambient Linguistic Knowledge) | TAOM4E (Tool for Agent Oriented Modeling for Eclipse) | Third Party Twitter Tools & Services | TRINDIKit (Task oRiented Instructional Dialogue Toolkit) | UAM CorpusTool | Virtual Human Toolkit
Natural Language processing Tools for Tamil grammar Learning and Teaching V Dhanalakshmi, S Rajendran – International journal of Computer …, 2010 – Citeseer … This makes the system monotonous for the user. But here we have automated the system with the Natural Language Processing tools. The NLP tools were developed using machine learning approaches. … Speech and Dialogue system Knowledge representation in learning … Cited by 8 Related articles All 3 versions
[BOOK] Applied natural language processing: Identification, investigation, and resolution PM McCarthy, C Boonthum-Denecke – 2012 – igi-global.com Applied Natural Language Processing: Identification, Investigation and Resolution: 9781609607418: Computer Science and Information Technology Books. Cited by 6 Related articles All 2 versions
TechWriter: An evolving system for writing assistance for advanced learners of English D Napolitano, A Stent – Calico Journal, 2013 – equinoxpub.com … TechWriter uses a similar but simpler technique to find possible corrections in corpora. Individual natural language processing tools have also been developed for use with L2 writers (eg, Ahmed, 2002; Chen, Tokuda, & Hou, 2005; Hagen, 1994-1995). … Cited by 19 Related articles All 13 versions
Crowdflow: Integrating machine learning with mechanical turk for speed-cost-quality flexibility AJ Quinn, BB Bederson, T Yeh, J Lin – Better performance over iterations, 2010 – wp.aq.gs … The classification code is provided with the LingPipe natural language processing toolkit for Java (http://alias i.com/lingpipe/). … [6] Horvitz, E., Paek, T.. Complementary computing: policies for transferring callers from dialog systems to human receptionists, User Modeling and User … Cited by 25 Related articles All 35 versions
No Peanuts! Affective Cues for the Virtual Bartender. M Skowron, H Pirker, S Rank, G Paltoglou, J Ahn… – FLAIRS Conference, 2011 – ofai.at … 4.1 Perception Layer The Perception Layer integrates different natural language processing tools, linguistic and affective resources to ana- lyze user utterances and system response … 2004. Affective Dialogue Systems, Tutorial and Re- search Workshop (ADS 2004), LNAI 3068. … Cited by 18 Related articles All 14 versions
Affect and Social Processes in Online Communication–Experiments with an Affective Dialog System M Skowron, M Theunis, S Rank… – … , IEEE Transactions on, 2013 – ieeexplore.ieee.org … layers used in the affective dialog system, see Fig. 1. The different realizations of the system which are applied in the three rounds of experiments are de- veloped based on the same software framework and share the same set of natural language processing tools and resources … Cited by 8 Related articles All 10 versions
An Interdisciplinary VR-architecture for 3D Chatting with Non-verbal Communication. S Gobron, J Ahn, Q Silvestre, D Thalmann, S Rank… – EGVE/ …, 2011 – researchgate.net … This study is complementary to the current paper as they fo- cus on the dialog system and not on the general architecture. 2.3. … The Perception sub-layer integrates a number of natural language processing tools and affec- tive states classifiers to analyze user utterances. … Cited by 10 Related articles All 8 versions
Advances in natural language processing J Hirschberg, CD Manning – Science, 2015 – sciencemag.org … 3 A spoken dialogue system. … References and Notes. ? CD Manning, M. Surdeanu, J. Bauer, J. Finkel, SJ Bethard, D. McClosky, “The Stanford CoreNLP Natural Language Processing Toolkit,” in Proceedings of the 52nd Annual Meeting of the Association for Computational … Cited by 3
A prototype for a conversational companion for reminiscing about images Y Wilks, R Catizone, S Worgan, A Dingli… – Computer Speech & …, 2011 – Elsevier … preliminary studies and results for these, in particular a novel approach to enabling reinforcement learning for open dialogue systems through the … This module uses a set of well-established natural language processing tools such as the GATE (Cunningham et al., 1997) system. … Cited by 16 Related articles All 10 versions
Combination of example-based and smt-based approaches in a chat-oriented dialog system L Nio, S Sakti, G Neubig, T Toda, S Nakamura – Proc. of ICE-ID, 2013 – phontron.com … The natural language processing tools and Wordnet synsets used were provided by NLTK toolkit7, and the example-based TF-IDF based cosine similarity … For the SMT approach, Moses9 was used to build the translation model and perform translation for the dialog system. … Cited by 4 Related articles
Human-to-human interfaces: emerging trends and challenges A Gentile, A Santangelo, S Sorce… – International Journal of …, 2011 – inderscienceonline.com Page 1. Int. J. Space-Based and Situated Computing, Vol. 1, No. 1, 2011 3 Copyright © 2011 Inderscience Enterprises Ltd. Human-to-human interfaces: emerging trends and challenges Antonio Gentile Dipartimento di Ingegneria … Cited by 12 Related articles All 3 versions
Biomedical text mining: State-of-the-art, open problems and future challenges A Holzinger, J Schantl, M Schroettner, C Seifert… – … Discovery and Data …, 2014 – Springer … 2008) CrossRef; Yeh, JF, Wu, CH, Chen, MJ: Ontology-based speech act identification in a bilingual dialog system using partial … corpus of full-text journal articles is a robust evaluation tool for revealing differences in performance of biomedical natural language processing tools. … Cited by 10 Related articles All 5 versions
Embodied Language Processing: A New Generation of Language Technology. K Pastra, E Balta, P Dimitrakis… – Language-Action Tools for …, 2011 – aaai.org … Natural language processing tools have a history that can be traced back to the very early days of Artificial Intelligence; a number … Similarly, automatic text indexing and retrieval technology is behind powerful search engines on the web, while dialogue systems are increasingly … Cited by 3 Related articles All 10 versions
Question generation for French: collating parsers and paraphrasing questions D Bernhard, L De Viron… – Dialogue and …, 2012 – journals.linguisticsociety.org … Generation (QG) has been addressed recently from different perspectives and for different application domains: dialogue systems, intelligent tutoring … QG is actually a complex task, which relies on a large variety of resources and Natural Language Processing tools: named entity … Cited by 7 Related articles All 8 versions
Utilizing human-to-human conversation examples for a multi domain chat-oriented dialog system NIO Lasguido, S Sakti, G Neubig, T Tomoki… – … on Information and …, 2014 – search.ieice.org … The natural language processing tools and Wordnet synsets used were provided by NLTK toolkit † , and the example-based TF-IDF based cosine similarity … For the SMT approach, Moses ††† was used to build the translation model and per- form translation for the dialog system. … Cited by 3 Related articles All 7 versions
Discourse structure differences in lay and professional health communication JA Abrahamson, VL Rubin – Journal of Documentation, 2012 – emeraldinsight.com … To supplement the RST analysis, quantitative lexical analyses with the Natural Language Processing Toolkit or NLTK (Bird et al., 2009) were used to compare and report such measures within each discourse group as the overall data size and average sentence length. … Cited by 11 Related articles All 5 versions
Towards the development of the multilingual multimodal virtual agent I V?ra, J Tese?skis, I Skadi?a – Advances in Natural Language Processing, 2014 – Springer … Multimodal systems (including dialog systems), such as smart home or Artificial Intelligence robots, are often used in real life situa- tions to … 2]. Creating a multimodal virtual agent is a multidisci- plinary effort, but its core components are natural language processing tools that can … Cited by 2 Related articles All 3 versions
The BASRAH system: A method for spoken broadcast news story clustering ZAK Aleqili – Networked Digital Technologies, 2012 – Springer … This is an important step, as natural language processing tools require that the input text be di- vided into sentences. … 11. IEEE (2011) 9. Skantze, G.: The use of speech recogition confidence scores in dialogue systems. Speech Technology (2003) 10. … Cited by 3 Related articles All 2 versions
ISOFT at QALD-4: Semantic similarity-based question answering system over linked data S Park, H Shim, GG Lee – CLEF, 2014 – ceur-ws.org … of Non-Symbolic Approach-based Human-Like Self-Taught Learning Intelligence Technology] and the National Research Foundation of Korea (NRF) [NRF-2014R1A2A1A01003041, Development of multi-party antici- patory knowledge-intensive natural language dialog system … Cited by 5 Related articles
Preliminary Design on Multi-touch surfaces Managed by Multi-agent System C Moulin, A Jones, JP Barthès, D Lenne – International Journal of Energy, …, 2011 – sersc.org … It also contains a dialog system that may ask for missing information before sending a complete message. … simple way is to consider a project as a document (composed of the pieces of texts contained in project elements) and use natural language processing tools to compare … Cited by 5 Related articles All 3 versions
Applying a text-based affective dialogue system in psychological research: case studies on the effects of system behaviour, interaction context and social exclusion M Skowron, S Rank, A ?widerska, D Küster… – Cognitive …, 2014 – Springer … Fig. 1 Layers and main components of the Affective Dialogue System. Perception Layer. The Perception Layer consists of and integrates a set of natural-language processing tools, linguistic and affective resources to analyse user utterances and system response candidates: … Cited by 2 Related articles All 5 versions
Dialogue Systems for Language Learning JF Quesada, C Nunez, JL Suárez – Informática Educativa …, 2013 – documat.unirioja.es … Figure 1. Feedback 4.1. The Role of Dialogue Systems in Milao … Page 8. José F Quesada, Camelia Nunez, Juan Luis Suárez 70 complete outstanding platform for Language Learning in comparison with many other Natural Language Processing tools and systems. … Cited by 1 Related articles All 2 versions
Spoken language understanding in a nutrition dialogue system MB Korpusik – 2015 – groups.csail.mit.edu Page 1. Spoken Language Understanding in a Nutrition Dialogue System by Mandy B. Korpusik … the lack of a specific nutrient. 1.1 Dialogue Systems Spoken dialogue systems like this one have become increasingly prevalent in today’s … Cited by 2
Exploring the N-th Dimension of Language P Mondal – Research in Computing Science, 2010 – cogprints.org … processing tasks ranging from natural language generation, natural language understanding or machine translation to dialog systems etc. … language processing, it will enable us in finessing and enhancing the effectiveness of our natural language processing tools which are still … Cited by 2 Related articles All 11 versions
A companionable agent R Catizone, Y Wilks – Conversational Agents and Natural …, 2011 – books.google.com … This module uses a set of well-established natural language processing tools such as the GATE (Cunningham, et al., 1997) system. … Workshop on Dialogue Systems: interaction, adaptation and styles of management, European Chapter of the Association for Compu- tational … Cited by 2 Related articles All 3 versions
Acquisition and use of long-term memory for personalized dialog systems Y Kim, J Bang, J Choi, S Ryu, S Koo… – … Analyses enabling Artificial …, 2014 – Springer … Our simple dialog system is designed to take an input sentence from the user and then to select the most appropriate response from the examples (Fig. 2). User inputs are pro- cessed by natural language processing tools like part-of-speech (PoS) tagger, depen- dency parser … Cited by 1 Related articles All 3 versions
Introducing innovative e-learning environments in higher education M Grigoriadou, K Papanikolaou… – … Education and Life …, 2010 – inderscienceonline.com … Keywords: adaptive learning environments; adaptive educational hypermedia systems; tutorial dialogue systems; concept maps … learning environments, web-based education, intelligent tutoring systems, educational software, natural language processing tools, and computer … Cited by 2 Related articles All 5 versions
[BOOK] Exploring speech technologies for language learning R Delmonte – 2011 – intechopen.com Page 1. 5 Exploring Speech Technologies for Language Learning Rodolfo Delmonte Università Ca’ Foscari – Ca’ Bembo, Linguistic Computational Laboratory, Italy 1. Introduction The teaching of the pronunciation of any foreign … Cited by 2 Related articles All 6 versions
R-cube: a dialogue agent for Restaurant Recommendation and Reservation S Kim, RE Banchs – Asia-Pacific Signal and Information …, 2014 – ieeexplore.ieee.org … adopted. Figure 1. Multi-strategy Dialogue System Architecture The … events. Different natural language processing tools, both in-house developed and open source, are used in the preprocessing components of R-cube. For … Cited by 2 Related articles All 2 versions
Intelligent CALL M Schulze, T Heift – Contemporary Computer-Assisted Language …, 2012 – books.google.com … The dialog system FLUENT I (Hamburger & Hashim, 1992) asks students to move objects in a bathroom per request. Hamburger and his team also developed an interface for teachers to create exercises that utilize the natural language processing tools of FLUENT-2, both … Cited by 1 Related articles All 2 versions
Community-Based Resource Building and Data Collection K Jokinen, G Wilcock – The 4th International Workshop on Spoken …, 2014 – mica.edu.vn … Under-resourced languages typically do not have advanced natural language processing tools such as part-of-speech taggers and syntactic parsers, or … Proceedings of the Fourth International Workshop on Spoken Dialogue Systems (IWSDS 2012), Ermenonville, France, 2012. … Cited by 2 Related articles All 5 versions
Automatic extraction of causal knowledge from natural language texts C Grivaz – 2012 – archive-ouverte.unige.ch … As the only source of answers to why questions, causation recognition would be a useful addition to many natural-language processing systems, in particular to question-answering and dialogue systems. 1.1 Motivation … This argument also applies to dialogue systems. … Cited by 4 Related articles All 2 versions
A Semi-Supervised Clustering Approach for Semantic Slot Labelling H Cuayáhuitl, N Dethlefs… – Machine Learning and …, 2014 – ieeexplore.ieee.org … CD Manning, M. Surdeanu, J. Bauer, JR Finkel, S. Bethard, and D. McClosky, “The stanford corenlp natural language processing toolkit,” in ACL … N. Chen, WY Wang, and AI Rudnicky, “Unsupervised induction and filling of semantic slots for spoken dialogue systems using frame … Cited by 1 Related articles All 4 versions
Interpreting Design Structure in Patents Using an Ontology Library Z Li, D Tate – ASME 2013 International Design …, 2013 – … .asmedigitalcollection.asme.org … include information retrieval, information extraction, question answering, machine translation, summarization, and dialogue systems [24 … The methods of the proposed research comprised three parts: preprocessing using natural language processing tools, constructing ontology … Cited by 1 Related articles All 6 versions
A classification scheme for annotating speech acts in a business email corpus R De Felice, J Darby, A Fisher, D Peplow – ICAME Journal, 2013 – discovery.ucl.ac.uk … 2000; Georgila et al. 2009), poses rather different questions from those of our research. Dialogue systems deal mainly with synchronous, not Page 8. ICAME Journal No. 37 78 asynchronous, communication, and the exchanges are less likely to contain complete sentences. … Cited by 5 Related articles All 5 versions
An OpenCCG-Based Approach to Question Generation from Concepts MM Berg, A Isard, JD Moore – Natural Language Processing and …, 2013 – Springer … Afterwards we describe our knowledge base and how we can use the results in dialogue systems. … OpenCCG1 is a collection of natural language processing tools, which provide parsing and realisation support based on the CCG formalism. … Cited by 2 Related articles All 5 versions
[BOOK] Intuitive ontology authoring using controlled natural language R Denaux – 2013 – etheses.whiterose.ac.uk … 148 5.2 Dialogue Systems Overview . . . . . 151 … inputs in order to provide understandable feedback to domain experts? How can dialogue systems be used to formalise and improve ontology au- thoring interactions for better support of domain experts? … Cited by 1 Related articles All 6 versions
Interlanguage pragmatics with a pedagogical agent: the request game HC Yang, D Zapata-Rivera – Computer Assisted Language …, 2010 – Taylor & Francis … However, to date, scant research has investigated acquisition in ILP through an agent-based interactive learning environment. The request game approach combines an automatic dialogue system and a pedagogical agent to create a pragmatics learning application. … Cited by 2 Related articles All 4 versions
Processing temporal information in unstructured documents FNQMC Costa – 2013 – repositorio.ul.pt … 80 4.2 Baselines . . . . . 80 4.3 Natural Language Processing Tools Used . . . . . 85 4.3.1 Morphological Analysis . . . . . 85 4.3.2 LX-Parser and LX-DepParser . . . . . 88 … Cited by 5 Related articles All 9 versions
Improving the accessibility and efficiency of e-Government processes C Moulin, ML Sbodio – Cognitive Informatics (ICCI), 2010 9th …, 2010 – ieeexplore.ieee.org … related to the government domain, and we extracted the most important terms and expressions from this corpus using natural language processing tools. … of the enhanced ontology was performed through questions that end-users could ask to a dialog system integrating the … Cited by 5 Related articles All 2 versions
Dialog Systems and Their Inputs D Scerri, A Dingli – HCI International 2013-Posters’ Extended Abstracts, 2013 – Springer … The prototype makes use of various natural language processing tools, online and offline knowledge bases, and other information sources, to enable it to comprehend and construct relevant responses. Keywords: Dialog Systems, External Knowledge Acquisition, RDF … Related articles All 2 versions
Natural Language Understanding C Hofer, R Mauhart, D Reisenberger – iicm.tugraz.at … 21 4.5.4 Spoken Dialog Systems . . . . … The documents were segmented into semantically-related tiles with a natural language processing tool called TextTiling. For the threaded discussions all responses were sequentially linked to the original message in chronological order. … Related articles
Building a Hybrid: Chatterbot–Dialog System A Dingli, D Scerri – Text, Speech, and Dialogue, 2013 – Springer … The prototype makes use of various natural language processing tools, online and offline knowledge bases, and other infor- mation sources, to enable it to comprehend and construct relevant responses. Keywords: Dialog Systems, External Knowledge Acquisition, RDF … Related articles All 3 versions
2009 Seventh Brazilian Symposium in Information and Human Language Technology A Bertoldi, RL de Oliveira Chishman – computer.org … Vidal de Carvalho, and José Antonio Moreira Xexéo Text Readability Analysis with Natural Language Processing Tools: The Adaptation … Technologies for the Development of Spoken Dialog Systems in Brazilian Portuguese…..187 Jefferson Magalhães de … All 3 versions
Recursive neural network paraphrase identification for example-based dialog retrieval L Nio, S Sakti, G Neubig, T Toda… – Asia-Pacific Signal …, 2014 – ieeexplore.ieee.org … III. OVERALL DIALOG SYSTEM Figure 1 depicts an overview of our dialog system. … [26]. Furthermore, we use natural language processing tools and Wordnet synsets provided by the NLTK toolkit6, and Apache Lucene7 to calculate the TF-IDF based cosine similarity. … Related articles All 4 versions
Dialogue Systems for Language Learning JFQ Moreno, C Nunez, JL Suárez – IE Comunicaciones: Revista …, 2013 – dialnet.unirioja.es … Figure 1. Feedback 4.1. The Role of Dialogue Systems in Milao … Page 8. José F Quesada, Camelia Nunez, Juan Luis Suárez 70 complete outstanding platform for Language Learning in comparison with many other Natural Language Processing tools and systems. … Related articles
Language Technology Support for Czech G Rehm, H Uszkoreit – The Czech Language in the Digital Age, 2012 – Springer … Nevertheless, the need for such tools will definitely grow in the future and thus the re- search in the natural language processing tools in this area will be more important. 4.2.2 Web Search … Recognition 5: Speech-based dialogue system [30], MBROLA [31]). … All 2 versions
Semantic Grounding in Dialogue for Complex Problem Solving X Li, KE Boyer – research.csc.ncsu.edu … keboyer@ncsu.edu Abstract Dialogue systems that support users in complex problem solving must interpret user utterances within the context of a dy- namically changing, user-created problem solving artifact. … All dialogue systems employ some form of seman- tic interpretation. … Related articles
Improving the robustness of example-based dialog retrieval using recursive neural network paraphrase identification L Nio, S Sakti, G Neubig, T Toda… – … Workshop (SLT), 2014 …, 2014 – ieeexplore.ieee.org … Data-driven approaches are seeing increasing interest as lightweight methods to create broad-coverage chat-oriented dialog systems [1, 2, 3, 4 … More details on the data can be found in [18] We use natural language processing tools and Wordnet synsets provided by the NLTK … Cited by 1 Related articles All 2 versions
Natural Language Processing with Text-to-Speech on Android (May 2011) S Bhatt – quay.poly.asu.edu … Application is tested for ad-hoc queries and transactional dialog system. … V. CONCLUSION AND FUTURE WORK The Natural Language Processing tool with text-to-speech looks through dictionaries and grammars to gather relevant response of user request. … Related articles All 3 versions
Towards expressive speech synthesis: Analysis and modeling of expressive speech S Raptis, S Karabetsos… – … ), 2014 5th IEEE …, 2014 – ieeexplore.ieee.org … As expressiveness, affect and emotion are expected to fuel tomorrow’s natural speech interfaces and dialog systems, the perception and … Also, prior to acoustic analysis, a chain of natural language processing tools can be employed, to extract contextual (binary or categorical … Cited by 1 Related articles
System for Generating Questions Automatically From Given Punjabi Text S Garg, V Goyal – hnk.ffzg.hr … For Punjabi, adequate annotated corpora, Part of speech taggers and other Natural Language Processing tools are not yet available in the required measure. … State-of-the- art spoken dialogue systems can be considered as a good example. … Cited by 2 Related articles
A framework towards expressive speech analysis and synthesis with preliminary results S Raptis, S Karabetsos, A Chalamandaris… – Journal on Multimodal …, 2015 – Springer … As expressiveness, affect and emotion are expected to fuel tomorrow’s natural speech interfaces and dialog systems, the perception and … Also, prior to acoustic analysis, a chain of natural language processing tools can be employed, to extract contextual (binary or categorical …
Demonstration of a prototype for a Conversational Companion for reminiscing about images Y Wilks, A Dingli, R Catizone, W Cheng – Proceedings of the ACL 2010 …, 2010 – dl.acm.org … This module uses a set of well- established natural language processing tools such as those found in the GATE (Cunningham, et al., 1997) system. … often use measures like “stickiness” to determine how much a user will stay with or stick with a dialogue system and not leave it … Related articles All 12 versions
Adjective-Based Estimation of Short Sentence’s Impression NTT An, M Hagiwara – ep.liu.se … Pointwise mutual information. In the next step, the library sentiment of patterns.en – natural language processing toolkit is utilized to check the sentiment polarity (positive or negative) of adjectives and sentences. Finally, adjectives … Related articles
National Report on Language Technology in Greece M Gavrilidou, P Labropoulou, S Piperidis – researchgate.net … The results included text and speech databases, speech processing tools, Natural Language Processing tools, Machine Translation tools and systems … as applications in the general framework of human-machine interaction (eg voice-enabled dialogue systems for information …
A Method for designing Dialogue Systems by using Ontologies EJ Wantroba, RAF Romero – INTERNATIONAL PROGRAM …, 2014 – researchgate.net … Systems, turning easier the task of building the knowledge base for a dialogue system. A method to design and aggregate existing ontologies in these systems are also being proposed. For this, pattern matching, state of art natural language processing tools, thesaurus and the … Related articles
Semantic Analysis of Bloggers Experiences as a Knowledge Source of Average Human Morality R Rzepka, K Araki – Rethinking Machine Ethics in the Age of …, 2015 – books.google.com … That said, as we show in this chapter, more reliable Natural Language Processing tools and techniques alongside human-coded moral lexicons … and especially Searle, this volume.) Usually, we reprogram toy robots, vacuum cleaning robots or create dialog systems for elderly …
Bringing TTS Software Into The Classroom: The Effect Of Using Text To Speech Software On Teaching Reading Features F Husseini, H Meihami – Teaching English with Technology, 2014 – ceeol.com … integrate TTS synthesis that are currently being developed for use in language learning include the Let’s Go Spoken Dialogue System (SDS) (Raux and Eskenazi, 2004) and SCILL … Re-using Natural Language Processing Tools in Computer Assisted Language Learning: … Related articles All 2 versions
Linguistic and multilingual issues in virtual worlds and serious games: a general review S Cruz-Lara, A Denis, N Bellalem – The Journal of Virtual Worlds …, 2014 – hal.inria.fr … Both prototypes (ie, sentiment analysis and emotion detection) are based on natural language processing tools. … and partially sighted people, and enrich their experience of the content; emotion recognition (eg, for spotting angry customers in speech dialog systems); support for … Related articles All 7 versions
A Multiagent Approach to Teaching Complex Systems Development SC Lynch, K Rajendran – Multi-Agent Systems for Education and …, 2010 – books.google.com … systems to a level suitable forcourses atuniversity and subsequently to use MAS technology to simplify teaching and learning of multimodal dialog systems. … Semantic Analysis The language processing agent provided is based on Lkit, a Natural Language Processing toolkit Related articles All 3 versions
Imperatives for Virtual Humans W Li, JM Allbeck – mason.gmu.edu … Virtual Guide, another dialog system built by Hofs et al [15] includes an embodied conversational agent who can assist … Though not a solved problem, we believe natural language processing tools, along with environmental disambiguation will help to clarify prepositional phrase … Related articles
Symbiotic Aspects in e-Government Application Development C Moulin, ML Sbodio – Breakthroughs in Software Science and …, 2012 – books.google.com … re- lated to the govemment domain, and we extract the most important terms and expressions from this corpus using natural language processing tools. … content of the enhanced ontology is performed through questions that end- users can ask to a dialog system integrating the … Related articles All 5 versions
Text Based Emotion Recognition: A Survey CR Chopade – ijsr.net … 2.4 Improves Human computer interaction : The emotion recognition system should be applied in different kinds of the Human computer interaction systems, such as dialogue systems, automatic answering systems and human robots etc. …
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 …
Adaptive Information Retrieval based on Task Context BL Doan, JP Sansonnet – Systems Science and Collaborative …, 2011 – books.google.com … Depending on the considered system, the design of efficient Natural Language Processing tools (NLP-tools) is more or less com- plex and their implementation involves more or less resources (manpower, time, financial cost). … All 7 versions
Taking intelligent CALL to task M Schulze – Task-based language learning and teaching with …, 2010 – books.google.com … 70 Task-Based Language Learning and Teaching with Technology The latter are often dialogue systems, in which the learner engages in … and his team also developed an interface for teachers to create exercises which utilize the natural language processing tools ofFLUENT-2 … Related articles All 6 versions
Modular Grammars for Speech Recognition in Ontology-Based Dialogue Systems HM Kosinowski – 2010 – dfki.de … A dialogue system grammar presented by Giraudo [GIRAUDO & BAGGIA,2009] for EVALITA 20093 which was developed 2 http://www.lumenvox.com 3 An evaluation campaign of Natural Language Processing tools for Italian. Page 12. 4 1 Introduction … Related articles
[BOOK] Advanced Applications of Natural Language Processing for Performing Information Extraction MJF Rodrigues, AJ da Silva Teixeira – 2015 – Springer … Some of the topics covered in this series include the presentation of real life com- mercial deployment of spoken dialog systems, contemporary methods of speech parameterization, developments in information security for automated speech, forensic speaker recognition, use … Related articles All 2 versions
Cloze and Open Cloze Question Generation Systems and their Evaluation Guidelines M Agarwal – 2012 – web2py.iiit.ac.in … For example, tutorial dialogue systems [31, 15, 8] use NLP to analyze students dialogue moves and respond in pedagogically appropriate ways. Automated scoring technologies [54, 39, 42] grade student responses to essays or short answer questions. … Related articles
Computational linguistic tools and machine translation system for Kannada language PJ Antony – 2012 – nlp.amrita.edu … 106 3.1.5.3 Question-Answering 106 3.1.5.4 Summarization 107 3.1.5.5 MT 107 3.1.5.6 Dialogue Systems 107 3.1.5.7 Sentence Understanding 107 3.1.5.8 Word sense disambiguation 107 3.2 About Kannada Language 108 3.2.1 Structure of Kannada Language 108 … Related articles All 6 versions
Design And Development Of A Named Entity Based Question Answering System For Malayalam Language M Bindu – 2012 – dyuthi.cusat.ac.in … Since its inception in 1960 several key developments had happened. The notable developments are Natural Language Database Front Ends, Dialog systems, and Natural Language Understanding systems. To have accurate and effective communication, computer must … All 2 versions
[BOOK] Artificial Intelligence in Education: 17th International Conference, AIED 2015, Madrid, Spain, June 22-26, 2015. Proceedings C Conati, N Heffernan, A Mitrovic, MF Verdejo – 2015 – books.google.com … XXII Contents A Tutorial Dialogue System for Real-Time Evaluation of Unsupervised Dialogue Act Classifiers … Carolyn Rosé, and Dragan Gasevic Predicting Misalignment Between Teachers’ and Students’ Essay Scores Using Natural Language Processing Tools….. …
Action plan for dissemination D Cristea, A Branco, A Mendes, T Pellegrini… – 2012 – upcommons.upc.edu … entire Romanian research and industry communities working in the area: National Workshop on Language Technologies for Romanian Language (organizers: D.Cristea , D. Tufi?) – 7 editions until now; International Conference on Speech and Dialogue Systems (organizer: C …
Monitoring the Text Comprehension of Students for Profiling in ReTuDiS M Samarakou, G Tsaganou, A Papadakis… – Journal of Information …, 2013 – researchgate.net … Abstract This work describes the system specifications and requirements for monitoring a student’s behavior while participating in text comprehension activities within the Reflective Tutorial Dialogue System (ReTuDiS). Based … Cited by 3 Related articles All 2 versions
Parsing, Expansion And Merging Of Dependency Treebank P Kosaraju – 2014 – web2py.iiit.ac.in … application to several natural language processing applications like machine translation, word sense disambiguation, information retrieval, dialogue systems etc. Due to availability … various efforts in advance research and development of natural language processing tools … Related articles
Algorithm for Analysis and Translation of Sentence Phrases R Lacko – is.muni.cz … 3 Page 9. 1. Introduction Brief description of the thesis’ structure: State of the art lists several natural language processing tools, whether they are univer- sal or designed for a specific task (such as dialogue systems). Theoretical … Related articles
Realistic Dialogue Engine for Video Games CM Rose – 2014 – ir.lib.uwo.ca … after a while due to the highly deterministic nature of their responses. The types of dialogue systems used in video games could be classified into three main types: cutscenes, branching dialogue trees, and simple natural language processing. Each … Cited by 1 Related articles
Semantic Analysis Of Multi Meaning Words Using Machine Learning And Knowledge Representation M Alirezaie – 2011 – diva-portal.org … This is required in various applications, such as spell and grammar checkers, text summarization, or dialogue systems. The automatic processing of languages contains several levels of analysis as follows: • Morphological Analysis • Syntactic Analysis • Semantic Analysis … Related articles
[BOOK] Language and computers M Dickinson, C Brew, D Meurers – 2012 – books.google.com … of dialog 6.6 Dialog systems and their tasks 6.7 Eliza 6.8 Spoken dialogs 6.9 How to evaluate a dialog system 6.10 Why … Overview for Instructors Everyday natural language processing tools, such as those mentioned in the previous section, provide new educational opportunities … Cited by 1 Related articles
[BOOK] Domain adaptation for parsing B Plank – 2011 – cst.dk Page 1. Domain Adaptation for Parsing Barbara Plank Page 2. CLCG The work presented here was carried out under the auspices of the Center for Lan- guage and Cognition Groningen (CLCG) at the Faculty of Arts of the University … Cited by 7 Related articles All 6 versions
Interpreting destination descriptions for navigation services Y Wu – 2011 – minerva-access.unimelb.edu.au … Collected from Victorian gazetteer data, real data are prepared with all the required attributes for use. A simple natural language processing tool is employed to parse and identify place names and spatial relation entities for the model. … Related articles All 2 versions
Detecting Off-Task Speech W Chen – 2012 – scs.cmu.edu … robot cooperation. Off-task speech input to computers presents both challenges and opportunities for such dialog systems. … As a prevalent speech event, off- task speech has been acknowledged in many dialog systems, such as health communication … Cited by 1 Related articles All 17 versions
The Multilingual Semantic Web (Dagstuhl Seminar 12362). P Buitelaar, KS Choi, P Cimiano, EH Hovy – Dagstuhl Reports, 2012 – drops.dagstuhl.de … In this context, we will also discuss how natural language processing tools can benefit from such a linked ecosystem of lexico-semantic background … Ontologies could help dialogue systems triggering predictable actions in AAL smart homes, ie turning off the oven when not used … Cited by 6 Related articles All 2 versions
Ontology-based information extraction CV Monllaó – 2011 – acia.udl.cat Page 1. Master in Artificial Intelligence (UPC-URV-UB) Master of Science Thesis Ontology-based Information Extraction Carlos Vicient Monllaó June, 23rd 2011 Page 2. Page 3. iii Table of contents … Cited by 3 Related articles
The Multilingual Semantic Web P Buitelaar, KSKS Choi, P Cimiano, E Hovy – 2012 – vesta.informatik.rwth-aachen.de … In this context, we will also discuss how natural language processing tools can benefit from such a linked ecosystem of lexico-semantic background … Ontologies could help dialogue systems triggering predictable actions in AAL smart homes, ie turning off the oven when not used … Cited by 2 Related articles All 2 versions
Automatic generation of factual questions from video documentaries Y Skalban – 2013 – wlv.openrepository.com … identification, and (4) question construction. Question Generation is an important component in dialogue systems, virtual environments, and learning … research questions will be answered: 1. How can Natural Language Processing tools and techniques be used when … Related articles All 5 versions
Joint models for concept-to-text generation I Konstas – 2014 – era.lib.ed.ac.uk … thus inaccessible to non-experts or laypersons. However, most conventional search en- gines and natural language processing tools (eg, summarisers) can only handle textual input. … This is more common in the NLG part of dialogue systems, which need to keep track of what … Cited by 1 Related articles All 5 versions
[BOOK] Formal Specification Level M Soeken, R Drechsler – 2015 – Springer … The translation of natural language specifications into formal models of the FSL using natural language processing tools is described in Chap. … for the first approach is given as the integrated development environment lips which particularly focuses on the dialog system for the … Related articles All 4 versions
[BOOK] Text Mining of Web-based Medical Content A Neustein – 2014 – books.google.com … visu- ally impaired. The author shows how this health dialogue system provides health information about lassa fever, malaria fever, typhoid fever and yellow fever to those who cannot access this information on line. The author … Related articles All 4 versions
What and When Do Students Learn? JP González-Brenes – 2013 – lti.cs.cmu.edu Page 1. What and When Do Students Learn? Methods For Knowledge Tracing With Data-Driven Mapping of Items to Skills José Pablo González-Brenes CMU-LTI-13- 010 Language Technologies Institute School of Computer … Related articles All 11 versions
Moving towards the semantic web: enabling new technologies through the semantic annotation of social contents. C Vicient Monllaó – 2015 – tdx.cbuc.es Page 1. MOVING TOWARDS THE SEMANTIC WEB: ENABLING NEW TECHNOLOGIES THROUGH THE SEMANTIC ANNOTATION OF SOCIAL CONTENTS. Carlos Vicient Monllaó Dipòsit Legal: T 155-2015 ADVERTIMENT. … Related articles All 4 versions
Ontology-based Information Extraction C Vicient Monllaró – 2011 – upcommons.upc.edu Page 1. Master in Artificial Intelligence (UPC-URV-UB) Master of Science Thesis Ontology-based Information Extraction Carlos Vicient Monllaó Advisors: Antonio Moreno Ribas, David Sánchez Ruenes June, 23rd 2011 Page 2. v Agraïments … Related articles All 4 versions
emnlp GH Hotel – 2013 – hum.csse.unimelb.edu.au … For this purpose, we developed a graph-based text representation that makes the relations between textual units explicit. This representation is acquired au- tomatically from a report using natural language processing tools including syntactic and discourse parsers. … All 2 versions
Support for critical analysis of actions in a task-oriented collaborative command and control environment O Leifler – 2010 – ida.liu.se Page 1. Linköping studies in science and technology No. 1234 Support for critical analysis of actions in a task-oriented collaborative command and control environment Ola Leifler Submitted to Institute of Technology at Linköping …
Semi-automatic Domain Modeling from Multilingual Corpora S Pollak – 2014 – kt.ijs.si Page 1. Univerza v Ljubljani/University of Ljubjana Filozofska fakulteta/Faculty of Arts Oddelek za prevajalstvo/Department of Translation Senja Pollak Polavtomatsko modeliranje podro?nega znanja iz ve?jezi?nih korpusov Semi … Cited by 1 Related articles