Notes:
The language understanding module is a component of a dialog system that is responsible for interpreting and analyzing the user’s input in order to extract the relevant meaning and intent. This module typically receives the user’s input in the form of natural language text, along with any additional context or information that the system has about the user or the current conversation. It then uses natural language processing techniques to analyze the input and identify the key concepts and entities mentioned in the user’s question or statement.
The language understanding module typically includes a set of rules or algorithms that define how the system should interpret and analyze the user’s input. For example, the module may use rules to identify the parts of speech in the input text, such as nouns, verbs, and adjectives. It may also use algorithms to identify the relationships between the different words and phrases in the input, such as whether they are related by subject-verb-object or other grammatical structures.
Once the input has been analyzed, the module generates a set of intermediate representations of the user’s intent or meaning. These representations may take the form of semantic frames, logical forms, or other structured representations that can be used by other modules in the system to generate appropriate responses or actions.
Overall, the function of the language understanding module is to help the dialog system understand the user’s input and extract the relevant meaning and intent. This can help improve the system’s ability to interpret a wide range of user input, and make the interaction more natural and effective for the user.
See also:
Towards the rapid development of a natural language understanding module C Moreira, A Mendes, L Coheur, B Martins – Intelligent Virtual Agents, 2011 – Springer When developing a conversational agent, there is often an urgent need to have a prototype available in order to test the application with real users. A Wizard of Oz is a possibility, but sometimes the agent should be simply deployed in the environment where it will be used. … Cited by 3 Related articles All 3 versions
Active learning for spoken language understanding DZ Hakkani-Tur, RE Schapire, G Tur – US Patent 7,742,918, 2010 – Google Patents … The method of training a spoken language understanding module comprises training acoustic and language models using a small set of transcribed data S„ recognizing utterances in a set Su that are candidates for transcription using the acoustic and language models, com … Related articles All 3 versions
System and method of spoken language understanding using word confusion networks AL Gorin, DZ Hakkani-Tur, G Riccardi, G Tur… – US Patent …, 2011 – Google Patents … No. 7,571,098. (57) ABSTRACT (51) Int’ C1′ Word lattices that are generated by an automatic speech rec- G101′ 15/18 (200601) ognition system are used to generate a modi?ed word lattice G101′ 15/00 (200601) that is usable by a spoken language understanding module. … Related articles All 4 versions
System and method for automatic generation of a natural language understanding model L Begeja, MG Rahim, AL Gorin, B Shahraray… – US Patent …, 2011 – Google Patents … 2A illustrates an exemplary annotation guide; FIG. 2B illustrates the table of contents for one embodi- ment of an online version of an annotation guide; FIGS. 3A and 3B illustrate embodiments of an annotation module and a natural language understanding module; FIG. … Related articles All 3 versions
Spoken language understanding via supervised learning and linguistically motivated features M Georgescul, M Rayner, P Bouillon – Natural Language Processing and …, 2010 – Springer … In order to improve their spoken language understanding module, [6] used a generative approach to generate a list of n-best associations between words and concepts, which is then re-ranked using discriminative learning with tree kernels. … Related articles All 5 versions
Method for building a natural language understanding model for a spoken dialog system NK Gupta, MG Rahim, G Tur… – US Patent 7,933,766, 2011 – Google Patents … BACKGROUND OF THE INVENTION 1. Field of the Invention 15 The present invention relates to spoken dialog systems and more specifically to a method of building a spoken language understanding module within a spoken dialog system. … Related articles All 4 versions
System and method of exploiting human-human data for spoken language understanding systems NK Gupta, G Tur – US Patent 7,853,451, 2010 – Google Patents … the inven- tion set forth herein. Yet another embodiment of the invention comprises a natural language understanding module gener- ated according to the method set forth herein. BRIEF DESCRIPTION OF THE DRAWINGS … Cited by 1 Related articles All 2 versions
[PDF] from psu.edu [PDF] Using Dialogue Corpora to Extend Information Extraction Patterns for Natural Language Understanding of Dialogue R Catizone, A Dingli, R Gaizauskas – Proceedings of the Seventh …, 2010 – Citeseer … IE templates are used as part of a Natural Language Understanding module for identifying meaning in a user utterance. The use of NLP tools in Dialogue systems is a difficult task given 1) spoken dialogue is often not well-formed and 2) there is a serious lack of dialogue data. … Related articles View as HTML All 6 versions
Multitask learning for spoken language understanding G Tur – US Patent 7,664,644, 2010 – Google Patents … language understanding component. The basic operation of a natural language understanding module within a spoken dia- log system is know to those of skill in the art and is discussed more below with reference to FIG. 1. In … Related articles All 2 versions
An Analysis of Verb Phase Based on Concept Model for Nature Language Understanding YT Li, K Zhao, ZZ Yi, PT Cheng – Applied Mechanics and Materials, 2011 – Trans Tech Publ … After the questions are solved, the system server will record, gather, and store the solution waiting for the student to receive. The natural language understanding module extracts the meaning of the problems through semantic analysis and discourse clustering. … Related articles All 2 versions
Exploiting unlabeled utterances for spoken language understanding DZ Hakkani-Tur, G Tur – US Patent 7,835,910, 2010 – Google Patents Page 1. US007835910B1 (12) United States Patent ao) Patent no.: us 7,835,910 bi Hakkani-Tur et al. (45) Date of Patent: Nov. 16,2010 (54) EXPLOITING UNLABELED UTTERANCES FOR SPOKEN LANGUAGE UNDERSTANDING … Cited by 1 Related articles All 3 versions
ENHANCED ACCURACY FOR SPEECH RECOGNITION GRAMMARS H Blanchard, S Lewis, S Sivaprasad… – US Patent App. 13/ …, 2011 – Google Patents … The user can then talk to the computer which utilizes programming modules such as an automatic speech recognition module (ASR), a spoken language understanding module (SLU), a dialog management module (DM) and a text-to-speech mod- ule (TTS) or any other type of … All 2 versions
A general framework for building natural language understanding modules in voice search J Feng – Acoustics Speech and Signal Processing (ICASSP), …, 2010 – ieeexplore.ieee.org Page 1. A GENERAL FRAMEWORK FOR BUILDING NATURAL LANGUAGE UNDERSTANDING MODULES IN VOICE SEARCH Junlan Feng AT&T Labs-Research, 180 Park Avenue, Florham Park, NJ 07932, USA ABSTRACT Mobile search is a fast-growing business. … Cited by 2 Related articles All 3 versions
[PDF] from uni-bremen.de [PDF] A dialogue system for indoor wayfinding using text-based natural language H Cuayáhuitl, N Dethlefs, KF Richter… – International …, 2010 – www-user.uni-bremen.de … language. Second, the language understanding module applies OpenCCG parsing [11] and keyword spotting — the latter is used in case of unparsed inputs — to the user utterance in order to extract a user dialogue act. Third … Cited by 10 Related articles View as HTML All 2 versions
[PDF] from upm.es [PDF] Dialogue-Based Management of User Feedback in an Autonomous Preference Learning System JM Lucas Cuesta, J Ferreiros López, A Aztiria… – 2010 – oa.upm.es … system. By means of a rule-based natural language understanding module and a state-based dialogue manager we allow the users to update the preferences learnt by the system from the data obtained from different sensors. … Cited by 1 Related articles View as HTML All 8 versions
Unified treatment of data-sparseness and data-overfitting in maximum entropy modeling F Weng, L Zhao – EP Patent 1,783,744, 2011 – freepatentsonline.com … 8. A spoken language understanding module arrangement for use in a conversational dialog system, the arrangement comprising : a speech recognizer adapted to recognize speech as a sequence of words; a part-of-speech tagger to tag the sequence; a statistical dependency … Related articles Cached
[PDF] from marcodinarelli.it The luna spoken dialogue system: Beyond utterance classification M Dinarelli, EA Stepanov, S Varges… – Acoustics Speech and …, 2010 – ieeexplore.ieee.org … Up to date work on call routing has been mainly dealing with call-type classification. In this paper we take call routing further: Initial call classification is done in paral- lel with a robust statistical Spoken Language Understanding module. … Cited by 3 Related articles All 5 versions
Method and system to parameterize dialog systems for the purpose of branding H Schmidt, C Bergmann, F Weng, R Mishra… – US Patent …, 2011 – Google Patents … a directed graph of word hypotheses. The natural language understanding module 103 analyzes the sequence of words (or the hypothesis graph) for the syntactic and semantic structure. The dialog manager 104 assembles … Related articles All 5 versions
[PDF] from aclweb.org [PDF] Learning from student responses: A domain-independent natural language tutor J McDonald, A Knott, R Zeng, A Cohen – Workshop, pages, 2011 – aclweb.org … We were also aware that the basic natural language understanding module that came with it was fairly rudimentary and yielded poor pre- cision and recall when classifying most student re- sponses other than those to simple binary or limited- option questions. … Related articles View as HTML All 6 versions
Natural Language Understanding: From Laboratory Predictions to Real Interactions P Mota, L Coheur, S Curto, P Fialho – Text, Speech and Dialogue, 2012 – Springer … 5773, pp. 529–530. Springer, Heidelberg (2009) 12. Moreira, C., Mendes, AC, Coheur, L., Martins, B.: Towards the Rapid Development of a Natural Language Understanding Module. In: Vilhjálmsson, HH, Kopp, S., Marsella, S., Thórisson, KR (eds.) IVA 2011. LNCS, vol. …
Dynamic natural language understanding O Lavi, G Auerbach, E Persky – US Patent 7,840,400, 2010 – Google Patents Page 1. inn iiiiiii hi mi mi iiiii ji 11 mjjj|i mi mm mi mi mi United States Patent Lavi et al. (io) Patent No.: (45) Date of Patent: US 7,840,400 B2 *Nov. 23, 2010 (54) DYNAMIC NATURAL LANGUAGE 5,576,954 A 11/1996 Driscoll … Related articles All 4 versions
Interactive complex task teaching system that allows for natural language input, recognizes a user’s intent, and automatically performs tasks in document object model … JF Allen, N Chambers, L Galescu, H Jung… – US Patent …, 2011 – Google Patents Page 1. United States Patent USOO7983997B2 (12) (10) Patent N0.: US 7,983,997 B2 Allen et al. (45) Date of Patent: Jul. 19, 2011 (54) INTERACTIVE COMPLEX TASK TEACHING 7,647,228 B2 * 1/2010 Si1_vera _eta1. …. … Related articles All 4 versions
[PDF] from lrec-conf.org [PDF] The Twins corpus of museum visitor questions P Aggarwal, R Artstein, J Gerten… – Proc. of the Language …, 2012 – lrec-conf.org … In the first round of annotation, utterances were run through the Natural Language Understanding module to generate responses; each system output was then man- ually annotated as to whether it constituted an appropri- ate response to the user utterance (a binary decision). … Cited by 1 View as HTML
Towards Interrogative Types in Task-Oriented Dialogue Systems M Berg, A Düsterhöft, B Thalheim – Natural Language Processing and …, 2012 – Springer … Application Development pur- poses. A common taxonomy of question types helps to connect parsers, grammars, pattern-based language generation methods and the natural language understanding module. Thus, in this paper …
SLU in Commercial and Research Spoken Dialogue Systems D Suendermann, R Pieraccini – Spoken Language …, 2011 – Wiley Online Library … rec hyp rec conf Y N yo 0.5 0.5 0.5 no yes 0.3 0.7 0.3 no 0.2 0.1 0.9 sum conf 0.48 0.52 Thus, the dialogue manager makes use of a semantic n-best list from the spoken language understanding module regarded as a black box. … Cited by 1 Related articles All 2 versions
[PDF] from univ-avignon.fr [CITATION] Investigating multiple approaches for SLU portability to a new language B Jabaian, L Besacier, F Lefèvre – Eleventh Annual Conference of the International …, 2010 Cited by 3 Related articles All 4 versions
Automatic generation of interactive systems from a formalized description language F Weng, W Chang, B Yan, Z Feng – US Patent 8,001,469, 2011 – Google Patents Page 1. USOO8001469B2 (12) Ulllt?ld States P2116111 (10) Patent No.: US 8,001,469 B2 Weng et al. (45) Date of Patent: Aug. 16, 2011 (54) AUTOMATIC GENERATION OF 7,720,684 B2 5/2010 Huerta etal. 2221/21192121. 11/2221 991“ 3.0 . . . . . … Cited by 1 Related articles All 5 versions
Enhanced accuracy for speech recognition grammars H Blanchard, S Lewis, S Sivaprasad… – US Patent 7,890,328, 2011 – Google Patents … The user can 15 then talk to the computer which utilizes programming mod- ules such as an automatic speech recognition module (ASR), a spoken language understanding module (SLU), a dialog management module (DM) and a text-to-speech module (TTS) or any other type … Related articles All 3 versions
[PDF] from unitn.it Spoken Language Understanding: from Spoken Utterances to Semantic Structures M Dinarelli – 2010 – eprints-phd.biblio.unitn.it … real applications. This work focus on a particular module of a Spoken Dialog System ap- plication: the Spoken Language Understanding module. From a high level point of view, the Spoken Language Understanding module takes as input … Cited by 2 Related articles
Spoken Vehicle control RS Hernández, JF López, D Scarlatti… – EP Patent …, 2011 – freepatentsonline.com … speech; a memory arranged to store the received speech; a speech recognition module (26) arranged to analyse the speech to provide a sequence of words and a word confidence measure for each word so recognised; a natural language understanding module (28) arranged … Related articles Cached
The EducAgent Platform: Intelligent Conversational Agents for E-Learning Applications D Griol, J García-Herrero, J Molina – Ambient Intelligence-Software and …, 2011 – Springer … Once the text transcription of the speech has been obtained, the Language Understanding Module generates the semantic interpretation of the input 1 http://www.w3.org/TR/voicexml20/ Page 4. 120 D. Griol, J. Garcia-Herrero, and JM Molina Fig. … Related articles All 2 versions
[PDF] from aclweb.org [PDF] Incremental dialogue act understanding V Petukhova, H Bunt – 9th International Conference on …, 2011 – newdesign.aclweb.org … Typically, such a system has an automatic speech recognition module, a language understanding module responsible for syntactic and semantic analysis, an interpre- tation manager, a dialogue manager, a natural language generation module, and a module for speech … Cited by 5 Related articles View as HTML All 7 versions
Method of generation a labeling guide for spoken dialog services NK Gupta, BB Hollister, MG Rahim… – US Patent 7,729,902, 2010 – Google Patents … The various modules necessary to carry on a meaningful conversation between a person and a spoken dialog system include an automatic speech recognition mod- 20 ule, a spoken language understanding module, a dialog man- ager, and a text-to-speech language … Cited by 1 Related articles All 3 versions
[BOOK] Intelligent Virtual Agents: 11th International Conference, IVA 2011 Reykjavik, Iceland, September 15-17, 2011 Proceedings HH Vilhjálmsson, S Kopp, S Marsella, KR Thorisson – 2011 – books.google.com … Adaptable BML Scheduling….. Dennis Reidsma, Herwin van Welbergen, and Job Zwiers Towards the Rapid Development of a Natural Language Understanding Module….. Catarina Moreira, Ana … All 2 versions
Method and apparatus for recognizing large list of proper names in spoken dialog systems F Weng, T Scheideck, Z Feng… – US Patent …, 2011 – Google Patents … Although embodiments have been described with respect 15 to optimizing recognition in a speech recognizer and natural language understanding module of a spoken dialog system for names (entity labels), it should be understood that similar methods can be used with regard … Related articles All 6 versions
[PDF] from amu.edu.pl [PDF] Modelling sub-utterance phenomena in spoken dialogue systems O Buß, D Schlangen – … on the Semantics and Pragmatics of …, 2010 – semdial2010.amu.edu.pl … Figure 1 gives a schematic view of the two pos- sibilities: in a system with a reactive layer, con- tinuous information flows (along the dashed lines) from “input-side” modules (the boxes on the left; let’s say speech recognition and natural language understanding module) to a … Cited by 13 Related articles View as HTML All 8 versions
Reducing time for annotating speech data to develop a dialog application TM Alonso, I Bromberg, DZ Hakkani-Tur… – US Patent …, 2010 – Google Patents Page 1. Illllllllllllllllllllllllllllllllllllllllllllllllll US007860713B2 (12) United States Patent Alonso et al. (io) Patent No.: (45) Date of Patent: US 7,860,713 B2 *Dec. 28, 2010 (54) REDUCING TIME FOR ANNOTATING SPEECH DATA TO … Related articles All 2 versions
Method and system for interactive conversational dialogue for cognitively overloaded device users F Weng, L Cavedon, B Raghunathan… – US Patent …, 2010 – Google Patents … 3Q The natural language understanding module 103 receives the sequence or lattice of words with attached confidence scores and outputs a structured meaning representation based on a statistical model trained on in-domain linguistic data. … Cited by 2 Related articles All 4 versions
Method and system for interactive conversational dialogue for cognitively overloaded device users F Weng, L Cavedon, B Raghuanathan… – EP Patent …, 2011 – freepatentsonline.com … the device information for a plug-n-play of the domain; a speech recognition module to receive speech from a user and convert the speech into a word sequence, and to recognize at least one of full and partial proper names; a natural language understanding module to identify … Cached
[CITATION] A Stochastic Finite-State Transducer Approach to Spoken Dialog Management LF Hurtado, J Planells, E Segarra, E Sanchis, D Griol – Eleventh Annual Conference of …, 2010 Cited by 6 Related articles All 2 versions
System and method of providing conversational visual prosody for talking heads E Cosatto, HP Graf, TM Isaacson, VF Strom – US Patent 8,200,493, 2012 – Google Patents Page 1. US008200493Bl (12) United States Patent Cosatto et al. US 8,200,493 B1 *Jun. 12, 2012 (10) Patent No.: (45) Date of Patent: (54) (75) (73) (21) (22) (60) (60) (51) (52) (58) SYSTEM AND METHOD OF PROVIDING CONVERSATIONAL …
Virtual Pet Chatting System, Method, and Virtual Pet Question and Answer Server H Yang, Y Liu – US Patent App. 12/708,492, 2010 – Google Patents … taking into account attributes of a virtual pet. A virtual pet questioning and answering server includes a natural language understanding module and a response sentence generating module. virtual pet client 211 virtual pet client … All 2 versions
An information filter for voice prompt suppression J McDonough, W Chu, K Kumatani… – … Record of the Forty …, 2011 – ieeexplore.ieee.org … The machine prompts the user with queries that are either prerecorded or synthesized on the fly. The human users respond with their own voices, and their speech is then recognized and understood by a hu- man language understanding module. …
Method and system of optimal selection strategy for statistical classifications in dialog systems J Hu, F Morbini, F Weng, X Liu – US Patent 8,050,929, 2011 – Google Patents … format of the responsive data. Typically, a dialog system includes several modules or components, including a language understanding module, a dialog management module, and a response generation mod- ule. In the case of … Related articles All 4 versions
INTERPRETATION TERMINALS AND METHOD FOR INTERPRETATION THROUGH COMMUNICATION BETWEEN INTERPRETATION TERMINALS S Yun, S Kim – US Patent 20,110,301,936, 2011 – freepatentsonline.com … comes from the terminal 102 of the other party in response to an utterance “Will you give me the name of the person who made reservation?” from the terminal 100 of the initiating party, the corresponding sentence passes through the language understanding module and an … Cached All 2 versions
Prototype of czech spoken dialog system with mixed initiative for railway information service J Švec, L Šmídl – Text, Speech and Dialogue, 2010 – Springer … Abstract. This paper describes a prototype of a Czech dialog system with a mixed dialog initiative and a natural language understanding module. The described dialog system is designed for providing railway information such as arrivals, departures, prices and train types. … Cited by 3 Related articles
SYSTEM AND METHOD OF PROVIDING A SPOKEN DIALOG INTERFACE TO A WEBSITE S Bangalore, J Feng, MG Rahim – US Patent 20,120,053,930, 2012 – freepatentsonline.com … Spoken dialog service components typically include an automatic speech recognition module, a language understanding module, a dialog management module, a language generation module and a text-to-speech module. … Cached
System and method of providing conversational visual prosody for talking heads E Cosatto, HP Graf, VF Strom – US Patent 8,131,551, 2012 – Google Patents Page 1. US008131551B1 (12) United States Patent (10) Patent No.: US 8,131,551 B1 Cosatto et al. (45) Date of Patent: *Mar. 6, 2012 (54) SYSTEM AND METHOD OF PROVIDING 5,652,828 A 7/1997 Silverman CONVERSATIONAL …
[PDF] from shef.ac.uk A prototype for a conversational companion for reminiscing about images Y Wilks, R Catizone, S Worgan, A Dingli… – Computer Speech & …, 2011 – Elsevier … long term. In the first part of this paper, we shall: • describe the current SC prototype’s functionality; • set out its architecture and modules, focusing on the Natural Language Understanding module and the Dialogue Manager; … Cited by 4 Related articles All 5 versions
Estimating user’s engagement from eye-gaze behaviors in human-agent conversations YI Nakano, R Ishii – Proceedings of the 15th international conference on …, 2010 – dl.acm.org … Decision Making Dialogue Planner Agenda Information State Speaker: Utterance: Goal: Attitude: … Discourse Model Input Controller Engagement Estimation Module Engagement Estimation Module Language Understanding Module 143 Page 6. explained later). … Cited by 19 Related articles All 2 versions
Automatically identifying the sentence skeleton of Chinese sentences based on the event model W Xu, K Zhao, Z Yi, Y Li, P Cheng – Tsinghua Science and …, 2012 – ieeexplore.ieee.org … 4.3 Application of the algorithm The algorithm for automatically identifying the sen- tence skeleton of Chinese sentences based on the event model has been successfully applied to the natural language understanding module “FuDaoWang,” a …
Method and system of optimal selection strategy for statistical classifications in dialog systems J Hu, F Morbini, F Weng, X Liu – EP Patent 2,028,645, 2010 – freepatentsonline.com … format of the responsive data. Typically, a dialog system includes several modules or components, including a language understanding module, a dialog management module, and a response generation module. In the case of … Cached
Spoken Dialogue System Design in 3 Weeks T Valenta, J Švec, L Šmídl – Text, Speech and Dialogue, 2012 – Springer … The large vocabulary continuous speech recognition sys- tem was used and the language understanding module was implemented using non-recursive probabilistic context free grammars which were converted to finite states transducers. …
System and method of providing conversational visual prosody for talking heads E Cosatto, HP Graf, TM Isaacson, VF Strom – US Patent 7,844,467, 2010 – Google Patents Page 1. US007844467B1 (12) United States Patent ao) Patent no.: us 7,844,467 bi Cosatto et al. (45) Date of Patent: *Nov. 30,2010 (54) SYSTEM AND METHOD OF PROVIDING CONVERSATIONAL VISUAL PROSODY FOR … Related articles All 2 versions
An Analysis of Event Noun Based on Concept Model in Nature Language for Intelligent Tutoring System L Yatao, Z Ke, Y Zhenzhen, X Wei – Energy Procedia, 2011 – Elsevier … Energy Procedia 00 (2011) 000–000 The data and result of experiment is shown in section V. 2. Syntax feature of noun in NLU The student’s problems are often expressed as the natural language form, the natural language understanding module to extract the meaning of …
Voice-enabled dialog system G Di Fabbrizio, DL Dutton, NK Gupta… – US Patent …, 2011 – Google Patents … purpose model is used for bootstrapping at an initial deployment of the voice-enabled help desk ser- vice and the domain-specific model is used to adapt the auto- matic speech recognition module after deployment; (2) a spoken language understanding module that performs … Cited by 1 Related articles All 3 versions
Method and system of optimal selection strategy for statistical classifications J Hu, F Morbini, F Weng, X Liu – US Patent 8,024,188, 2011 – Google Patents … fonnat of the responsive data. Typically, a dialog system includes several modules or components, including a language understanding module, a dialog management module, and a response generation mod- ule. In the case of … Related articles All 5 versions
Optimizing Dialog Strategies for Conversational Agents Interacting in AmI Environments D Griol, J Carbó, J Molina – Ambient Intelligence-Software and …, 2012 – Springer … In a conversational agent of this kind, several modules cooperate to per- form the interaction with the user: the Automatic Speech Recognizer (ASR), the Language Understanding Module (NLU), the Dialog Manager (DM), the Natural Language Generation module (NLG), and …
Dialog system for human agent to correct abnormal output F Weng, B Yan, Z Feng – US Patent 8,155,959, 2012 – Google Patents Page 1. US008155959B2 (12) UIllt€d States Patent (10) Patent No.: US 8,155,959 B2 Weng et al. (45) Date of Patent: Apr. 10, 2012 (54) DIALOG SYSTEM FOR HU VIAN AGENT TO ]3,Vfl1°eetal1~ ~~~~ eng eta. . … …
[PDF] from upm.es [PDF] I feel you: Towards affect-sensitive domotic Spoken Conversational Agents} SL Lutfi, F Fernández-Martínez, A Casanova-García… – 2012 – www-gth.die.upm.es … Then the matched words are passed to the Language Understanding module to extract the concepts (semantic in- formation) of the sentence. A series of concepts are then passed to the Dialog Manager to activate dialog goals. … View as HTML
System and method for natural language processing and using ontological searches RC Berkan, V Raskin – US Patent 7,739,104, 2010 – Google Patents … referred to as digestion and search. In the digestion process, textual information is input into the natural language understanding module, and the NLU module generates a cognitive model of the input text. In other words, a query … Cited by 1 Related articles All 5 versions
A statistical approach for estimating user satisfaction in spoken human-machine interaction A Schmitt, B Schatz, W Minker – Applied Electrical Engineering …, 2011 – ieeexplore.ieee.org … Spoken Language Understanding (SLU) The second set of features is derived from the Language Understanding module that extracts the semantic meaning from the automatically transcribed user utterance. Special attention is drawn to two important events that can be derived … Cited by 1 Related articles
System and method for improving interaction with a user through a dynamically alterable spoken dialog system G Pulz, HE Blanchard, SH Lewis, L Zhang – US Patent 8,024,179, 2011 – Google Patents … A further aspect of the system 200 relates to generating an automated response 260 that mimics the dialect of the user by analyzing the digital signal from the ASR module 220 in a spoken language understanding module (SLU) 235 or a dia- logue management (DM) module … Related articles All 5 versions
Dialogue management using scripts D Mirkovic, L Cavedon – US Patent 8,041,570, 2011 – Google Patents … In addition to the RNDS DM 100, the RNDS 200 of an embodiment includes one or more of a speech recognition (“SR”) module or system 202, a language understanding module 204, a knowledge management mod- ule 206, knowledge sources 208, a language generation … Related articles All 4 versions
[PDF] from zcu.cz Real-time large vocabulary spontaneous speech recognition for spoken dialog systems J Svec, L Smidl – Image and Signal Processing (CISP), 2011 …, 2011 – ieeexplore.ieee.org … very different. The output of the colloquial text normalization is suitable for further processing in a spoken language understanding module. The use of nor- malized text improves the robustness of the understanding process … Cited by 1 Related articles All 3 versions
LEXICAL ANSWER TYPE CONFIDENCE ESTIMATION AND APPLICATION JJ Fan, DA Ferrucci, DC Gondek… – US Patent App. 13/ …, 2011 – Google Patents … the question/query. In practice, LAT is the descriptor of the answer detected by a natural language understanding module comprising a collection of patterns and/or a parser with a semantic interpreter. [0032] Thus, question …
Making it easier for older people to talk to smart homes: the effect of early help prompts KM Wolters, KP Engelbrecht, F Gödde, S Möller… – Universal Access in the …, 2010 – Springer … Clarke et al. [22] also note that users often produce ungrammatical utterances that cannot be parsed by the natural language understanding module, which performs a linguistic anal- ysis of the utterance recognised by the automatic speech recognition (ASR) component. … Cited by 2 Related articles All 6 versions
Developing INOTS to support interpersonal skills practice J Campbell, M Core, R Artstein… – Aerospace …, 2011 – ieeexplore.ieee.org Page 1. 1 Developing INOTS to Support Interpersonal Skills Practice Julia Campbell, Mark Core, Ron Artstein, Lindsay Armstrong, Arno Hartholt, Cyrus Wilson, Kallirroi Georgila, Fabrizio Morbini, Edward Haynes, Dave Gomboc … Cited by 1 Related articles All 4 versions
[PDF] from auto-ui.org Language pattern analysis for automotive natural language speech applications U Winter, TJ Grost, O Tsimhoni – … of the 2nd International Conference on …, 2010 – dl.acm.org … natural utterances. A semantic interpreter (often referred to as Natural Language Understanding module or NLU) post-processes the text to extract the user’s intention by understanding the provided data and requested action. A … Cited by 1 Related articles All 2 versions
[PDF] from postech.ac.kr [PDF] Enhancing Referential Success by Tracking Hearer Gaze A Koller, K Garoufi, M Staudte… – Proceedings of the 13th …, 2012 – nlp.postech.ac.kr … grounding under un- certainty. However, most of these systems rely on the user’s verbal utterances as their primary source of information; monitoring thus presupposes an (error-prone) language understanding module. In the context … Cited by 1 View as HTML
Foreign Language Tutoring in Oral Conversations Using Spoken Dialog Systems LEE Sungjin, NOH Hyungjong… – … on Information and …, 2012 – search.ieice.org … As the GER increased, the performance of accuracy of the language understanding module (hybrid model) decreased, whereas the DCR decreased very slightly (Fig.6). Because of the clarification sub-dialogs, the aver- age dialog length increased as the GER increased. …
Named Entity Recognition F Béchet – Spoken Language Understanding, 2011 – Wiley Online Library Page 1. 10 Named Entity Recognition Frédéric Béchet Aix Marseille Université, France Named Entity Recognition (NER) can be defined as follows: a task consisting of detecting segments of a document (text or speech) expressing a direct reference to a unique identifier. … Cited by 1 Related articles All 2 versions
[PDF] from tcd.ie A prototype for a Conversational Companion for reminiscing about images R Catizone, Y Wilks, S Worgan, A Dingli, R Moore… – 2010 – tara.tcd.ie … describe the current SC prototype’s functionality; • set out its architecture and modules, focusing on the Natural Language Understanding module and the Dialogue Manager. • set out our short term plans to enhance Dialogue Management performance …
Context-sensitive interface widgets for multi-modal dialog systems S Bangalore, M Johnston – US Patent 7,890,324, 2011 – Google Patents … As is known in the art, for example, to accomplish a spoken dialog between a person and a computer device, the following are typically required: an automatic speech recognition module (ASR), a spoken language understanding module (SLU), a dialog man- ager (DM), and a … Related articles All 4 versions
[PDF] from iranblog.com Niusha, the first Persian speech-enabled IVR platform MH Bokaei, H Sameti, H Eghbal-zadeh… – … (IST), 2010 5th …, 2010 – ieeexplore.ieee.org … A typical dialogue system consists of five distinct modules: automatic speech recognizer, spoken language understanding module, dialogue manager, text generator and text to speech synthesizer. … So far, we have a simple spoken language understanding module. … Cited by 1 Related articles All 2 versions
Voice to text conversion with keyword parse and match to semantic and transactional concepts stored in a brain pool state machine using word distance to generate … R Hairman – US Patent 7,734,562, 2010 – Google Patents Page 1. Illlllllllllllllllllllllllllllllllllllllllllllllllll US007734562B1 (12) United States Patent Hairman (io) Patent No.: (45) Date of Patent: US 7,734,562 Bl Jun. 8, 2010 (54) VOICE TO TEXT CONVERSION WITH KEYWORD PARSE AND … Related articles All 3 versions
[PDF] from mit.edu [PDF] Language Technologies in Speech-Enabled Second Language Learning Games: From Reading to Dialogue Y Xu – 2012 – groups.csail.mit.edu Page 1. Language Technologies in Speech-Enabled Second Language Learning Games: From Reading to Dialogue By Yushi Xu SM in Electrical Engineering and Computer Science (2008) Massachusetts Institute of Technology … View as HTML
Robustness of Automatic Speech Recognition SA Selouani – Speech Processing and Soft Computing, 2011 – Springer Page 1. Chapter 6 Robustness of Automatic Speech Recognition Abstract Most speech recognition research has shifted to conversational and natu- ral speech in order to make effective and intuitive speech-enabled interfaces. …
[PDF] from ohio-state.edu [CITATION] Efficient probabilistic tracking of user goal and dialog history for spoken dialog systems A Raux, Y Ma – Twelfth Annual Conference of the International Speech …, 2011 Cited by 4 Related articles All 3 versions
[PDF] from aclweb.org [PDF] Towards effective tutorial feedback for explanation questions: A dataset and baselines MO Dzikovska, RD Nielsen, C Brew – … of the 2012 Conference of the …, 2012 – aclweb.org … We preserve the true test data for use in the planned large-scale system comparisons in a com- munity shared task. For the lexical similarity baseline, we use 10-fold cross-validation.3 For the BEETLE II system base- line, the language understanding module was de- … Cited by 1 View as HTML
Automatic Speech Recognition RE Gruhn, W Minker, S Nakamura – Statistical Pronunciation Modeling for …, 2011 – Springer … the user. Frequently employed other modules include a database access module or a natural language understanding module [Minker 98b] which extracts keywords and data from spontaneous utterances. Typical applications …
[PDF] from mt-archive.info [PDF] A modality lexicon and its use in automatic tagging K Baker, M Bloodgood, B Dorr, N Filardo… – Proceedings of the …, 2010 – mt-archive.info … The modality tagger has been used to improve ma- chine translation output by imposing semantic constraints on possible translations in the face of sparse training data. The tagger is also an important component of a language- understanding module for a related project. … Cited by 10 Related articles View as HTML All 8 versions
[PDF] from postech.ac.kr [PDF] POSTECH Approaches for Dialog-based English Conversation Tutoring S Lee, H Noh, J Lee, K Lee… – Proceedings of the APSIPA …, 2010 – isoft.postech.ac.kr … As the GER increased, the performance of accuracy of the language understanding module (hybrid model) decreased, whereas the DCR decreased very slightly (Fig. 6). Because of the clarification sub-dialogs, the average dialog length increased as the GER increased. … Cited by 2 Related articles View as HTML All 2 versions
[PDF] from ua.es Clustering of syntactic and discursive information for the dynamic adaptation of Language Models JM Lucas Cuesta, F Fernández Martínez… – 2010 – rua.ua.es … 2000). State of the art SDS that use dialogue dependent language modeling usually take advantage of the information provided by the natural language understanding module (NLU, (López-Cózar and Callejas, 2006)). Our … Related articles All 13 versions
Dialogue management using scripts and combined confidence scores D Mirkovic, L Cavedon, M Purver, F Ratiu… – US Patent …, 2011 – Google Patents Page 1. Illllllllllllllllllllllllllllllllllllllllllllllli US007904297B2 (12) United States Patent ao) Patent no.: us 7,904,297 B2 Mirkovic et al. (45) Date of Patent: Mar. 8,2011 (54) DIALOGUE MANAGEMENT USING SCRIPTS AND COMBINED … Related articles All 5 versions
[PDF] from aclweb.org Investigating clarification strategies in a hybrid POMDP dialog manager S Varges, S Quarteroni, G Riccardi… – Proceedings of the 11th …, 2010 – dl.acm.org … The original sensory in- formation is obtained from the speech recognition (ASR) results which are typically processed by a spoken language understanding module (SLU) be- fore being passed on to the dialog manager (DM). … Cited by 2 Related articles All 14 versions
QUESTIONS AND ANSWERS GENERATION PA Duboue, DA Ferrucci, DC Gondek… – US Patent App. 12/ …, 2010 – Google Patents Page 1. US 20110125734A1 (i9) United States (12) Patent Application Publication oo) Pub. No.: US 2011/0125734 Al Duboue et al. (43) Pub. Date: May 26,2011 (54) QUESTIONS AND ANSWERS GENERATION Publication … All 2 versions
Method for providing a challenge based on a content D Negrea – EP Patent 2,410,450, 2012 – freepatentsonline.com … Automatic speech recognition module (ASR) that can provide transcription of user speech, spoken language understanding module (SLU) for analyzing the meanings of a natural language sentence or words, spoken language generation module (SLG) or optical character … Cached
[PDF] from uu.se [PDF] User response strategies to reprompting in a call routing service N Hagberg – 2010 – stp.ling.uu.se … The speech recognizer outputs one or more interpretation hypotheses that the natural language understanding module processes and respond to via the language generation module. The possible combinations of phonemes are practically infinite. … Related articles View as HTML All 3 versions
Method and Apparatus for Automatically Building Conversational Systems S Bangalore, MG Rahim, J Feng – US Patent 20,120,221,331, 2012 – freepatentsonline.com … to the user. As part of the management of these responses, a natural language understanding module 118 is used to understand the meaning of the received speech from the user 112. An advantage over VXML. of this dialog … Cached
[PDF] from auburn.edu Distributed Listening in Automatic Speech Recognition Y McMillian – 2010 – etd.auburn.edu … The dialogue manager module was then responsible for selecting responses to the spontaneous requests of the driver, based on the semantic information from the natural language understanding module. The selected response was then passed to the response … Related articles Library Search All 3 versions
Method and apparatus for automatically building conversational systems S Bangalore, J Feng, MG Rahim – US Patent 7,660,400, 2010 – Google Patents … responses to the user. As part of the manage- ment of these responses, a natural language understanding module 118 is used to understand the meaning of the received speech from the user 112. An advantage over VXML … Cited by 1 Related articles All 4 versions
Speech Interaction with the Internet–A User Study H Hofmann, U Ehrlich, A Berton… – … Environments (IE), 2012 …, 2012 – ieeexplore.ieee.org … The keyword style is a concatenation of input parameters without a fixed grammar. This kind of phrase construction can be highly ambiguous and difficult to understand by a natural language understanding module. However …
[PDF] from uni-saarland.de Cross-lingual question answering BE Sacaleanu – 2012 – scidok.sulb.uni-saarland.de Page 1. Cross-Lingual Question Answering Dissertation zur Erlangung des akademischen Grades eines Doktors der Philosophie der Philosophischen Fakultäten der Universität des Saarlandes vorgelegt von Bogdan Eugen Sacaleanu aus Iasi, Rumänien Saarbrücken, 2012 …
[PDF] from uni-saarland.de [PDF] Modelling solution step discussions in tutorial dialogue M Buckley – 2010 – coli.uni-saarland.de Page 1. Modelling solution step discussions in tutorial dialogue Mark Buckley Dissertation zur Erlangung des akademischen Grades eines Doktors der Philosophie der Philosophischen Fakultäten der Universität des Saarlandes Juli 2010 Page 2. Page 3. … Related articles View as HTML
[PDF] from elanguage.net [PDF] Question Generation based on Lexico-Syntactic Patterns Learned from the Web S Curto, AC Mendes, L Coheur – Dialogue & Discourse, 2012 – elanguage.net Page 1. Dialogue and Discourse 3(2) (2012) 147-175 doi: 0.5087/dad.2012.207 Question Generation based on Lexico-Syntactic Patterns Learned from the Web Sérgio Curto SERGIO.CURTO@L2F.INESC-ID.PT Spoken Language … View as HTML
[BOOK] Speech Processing and Soft Computing SA Selouani – 2011 – books.google.com Page 1. SPRINGER BRIEFS IN SPEECH TE(HNOLOGY S|d Ahmed Se|0uan| Speech Process|ng and Soft Computing @ Springer Page 2. SpringerBriefs in Electrical and Computer Engineering For further volumes: www.springer.com/series/10059 Page 3. Page 4. … Related articles
[BOOK] Statistical Pronunciation Modeling for Non-native Speech Processing RE Gruhn, W Minker, S Nakamura – 2011 – books.google.com Page 1. Signals and Communication Technology Rainer E. Gruhn Wolfgang Minker Satoshi Nakamura / Statistical Pronunciation Modeling for Non-Native Speech Processing Springer Page 2. Signals and Communication Technology … Cited by 2 Related articles Library Search
[PDF] from utl.pt [PDF] MAY: my Memories Are Yours An interactive companion that saves the user’s memories JCF de Campos – 2010 – ist.utl.pt … To annotate the photos it is necessary to understand what the user says. There is a natural language understanding module, which extracts meaning from the user utterances, such as people’s name, locations, family relations and dates. … Cited by 3 Related articles View as HTML All 2 versions
[HTML] from computer.org CoCITe-Coordinating Changes in Text J Wright, J Grothendieck – Knowledge and Data Engineering, …, 2012 – ieeexplore.ieee.org Page 1. CoCITe—Coordinating Changes in Text Jeremy H. Wright, Member, IEEE, and John Grothendieck, Member, IEEE Abstract—Text streams are ubiquitous and contain a wealth of information, but are typically orders of … Related articles All 18 versions