NLU (Natural Language Understanding)

Natural Language Understanding

References:

See also:

Boeing Language Understanding Engine (BLUE) | Language Understanding Module | Scene Understanding 2013VUE (Visual Understanding Environment)


Natural Language Understanding AM Di Sciullo – Proceedings of the 2009 conference on New Trends in …, 2009 – dl.acm.org Abstract I focus on three characteristics of natural language understanding systems that incorporate the properties that make humans able to understand language naturally. The first characteristic of such systems is that they handle recursion. A second property of … Related articles All 5 versions

Natural Language Understanding D Fischer – dan.f3c.com Humans take the ability to understand and use languages as a central feature of their” intelligence”. Linguistic capabilities are perceived as” what makes us different from apes”, as the foundation of our cultures, and as a measure of overall intelligence of an individual. … Related articles All 2 versions

Natural Language Understanding C Hofer, R Mauhart, D Reisenberger – bernstein.iicm.tugraz.at Abstract This paper describes natural language understanding and its practical applications. After defining the term and giving an overview of the historic development, the theoretical background will be briefly described, including syntactic and semantic processing of … Related articles All 2 versions

Natural Language Understanding F Keller – 2014 – inf.ed.ac.uk Gildea and Jurafsky (2002) break down the role labeling task: 1 parse the training corpus using Collin’s parser; 2 match frame elements to constituents; 3 extract features from the parse tree; 4 train probabilistic model on the features. The start and end word of each … Related articles All 4 versions

Natural Language Understanding M Lapata – 2012 – inf.ed.ac.uk Example for a polysemous word: how many senses does the interest have?(1) a. She pays 3% interest on the loan. b. He showed a lot of interest in the painting. c. Microsoft purchased a controlling interest in Google. d. It is in the national interest to invade the Bahamas. e. I … Related articles All 3 versions

Towards natural language understanding of partial speech recognition results in dialogue systems K Sagae, G Christian, D DeVault… – Proceedings of Human …, 2009 – dl.acm.org Abstract We investigate natural language understanding of partial speech recognition results to equip a dialogue system with incremental language processing capabilities for more realistic human-computer conversations. We show that relatively high accuracy can … Cited by 24 Related articles All 12 versions

Role of natural language understanding in voice local search. J Feng, S Bangalore, M Gilbert – INTERSPEECH, 2009 – 20.210-193-52.unknown.qala.com. … Abstract Speak4it is a voice-enabled local search system currently available for iPhone devices. The natural language understanding (NLU) component is one of the key technology modules in this system. The role of NLU in voice-enabled local search is … Cited by 22 Related articles All 2 versions

Comparing local and sequential models for statistical incremental natural language understanding S Heintze, T Baumann, D Schlangen – … of the 11th Annual Meeting of the …, 2010 – dl.acm.org Abstract Incremental natural language understanding is the task of assigning semantic representations to successively larger prefixes of utterances. We compare two types of statistical models for this task: a) local models, which predict a single class for an input; … Cited by 20 Related articles All 13 versions

Building timelines from narrative clinical records: initial results based-on deep natural language understanding H Jung, J Allen, N Blaylock, W De Beaumont… – Proceedings of BioNLP …, 2011 – dl.acm.org Abstract We present an end-to-end system that processes narrative clinical records, constructs timelines for the medical histories of patients, and visualizes the results. This work is motivated by real clinical records and our general approach is based on deep semantic … Cited by 17 Related articles All 13 versions

A Lexical Knowledge representation Model for natural Language understanding P Chen, W Ding, C Ding – International Journal of Software Science …, 2009 – igi-global.com Abstract Knowledge representation is essential for semantics modeling and intelligent information processing. For decades researchers have proposed many knowledge representation techniques. However, it is a daunting problem how to capture deep … Cited by 11 Related articles All 7 versions

Understanding the unknown: Unattested input processing in natural language JM Taylor, V Raskin – Fuzzy Systems (FUZZ), 2011 IEEE …, 2011 – ieeexplore.ieee.org … The paper describes the fuzzy approach to the problem within this framework with regard to the semantic and syntactic acceptability of a sentence. Unknown words; computing with words; ontological semantics; natural language understanding; sentence acceptability … Cited by 26 Related articles

Applying automated deduction to natural language understanding J Bos – Journal of Applied Logic, 2009 – Elsevier Very few natural language understanding applications employ methods from automated deduction. This is mainly because (i) a high level of interdisciplinary knowledge is required,(ii) there is a huge gap between formal semantic theory and practical … Cited by 9 Related articles All 4 versions

Natural Language Understanding and Assessment. V Rus, PM McCarthy, DS McNamara, AC Graesser – 2009 – igi-global.com Abstract Natural language understanding and assessment is a subset of natural language processing (NLP). The primary purpose of natural language understanding algorithms is to convert written or spoken human language into representations that can be manipulated … Cited by 6 Related articles All 4 versions

Markov logic networks for situated incremental natural language understanding C Kennington, D Schlangen – Proceedings of the 13th Annual Meeting …, 2012 – dl.acm.org Abstract We present work on understanding natural language in a situated domain, that is, language that possibly refers to visually present entities, in an incremental, word-by-word fashion. Such type of understanding is required in conversational systems that need to act … Cited by 7 Related articles All 9 versions

[BOOK] Integration of world knowledge for natural language understanding E Ovchinnikova – 2012 – books.google.com This book concerns non-linguistic knowledge required to perform computational natural language understanding (NLU). The main objective of the book is to show that inference- based NLU has the potential for practical large scale applications. First, an introduction to … Cited by 10 Related articles All 4 versions

Towards the rapid development of a natural language understanding module C Moreira, AC Mendes, L Coheur, B Martins – Intelligent Virtual Agents, 2011 – Springer Abstract 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 … Cited by 6 Related articles All 9 versions

Object-oriented semantics of English in natural language understanding system Y Ostapov – arXiv preprint arXiv:1109.5798, 2011 – arxiv.org Abstract: A new approach to the problem of natural language understanding is proposed. The knowledge domain under consideration is the social behavior of people. English sentences are translated into set of predicates of a semantic database, which describe … Cited by 5 Related articles All 2 versions

Natural Language Ontology of Action. A gap with huge consequences for Natural Language Understanding and Machine Translation M Moneglia – Proceedings of the 5th Language & Technology …, 2011 – hnk.ffzg.hr Abstract Action verbs are the less predictable linguistic type for bilingual dictionaries and they cause major problems for MT technologies that are immediately evident to the user. This is not only because of language speci?c phraseology, but is rather a consequence of … Cited by 6 Related articles

Extracting sentence elements for the natural language understanding based on slovak national corpus S Ondáš, J Juhár, A ?ižmár – Analysis of Verbal and Nonverbal …, 2011 – Springer Abstract This paper introduces an approach for extracting sentence elements from Slovak sentences based on linguistic analysis. The key idea lies in the assumption that the sentence elements relates to the meaning and they can be helpful in the process of the … Cited by 6 Related articles All 6 versions

An Evaluation Framework for Natural Language Understanding in Spoken Dialogue Systems. JB Gordon, RJ Passonneau – LREC, 2010 – researchgate.net Abstract We present an evaluation framework to enable developers of information seeking, transaction based spoken dialogue systems to compare the performance of natural language understanding (NLU) approaches across varying levels of word error rate and … Cited by 4 Related articles All 7 versions

SPARQL ontology query based on natural language understanding ZR Zhang, TQ Yang – Jisuanji Yingyong/ Journal of Computer …, 2010 – en.cnki.com.cn For users can conveniently access to ontology knowledge, Simple Protocol And RDF Query Language (SPARQL) ontology query based on natural language understanding was put forward. User’s natural language inquires were analyzed utilizing Stanford Parser, query … Cited by 3 Related articles All 2 versions

[BOOK] Semantically-enriched parsing for natural language understanding S Tratz, E Adviser-Hovy – 2011 – dl.acm.org Abstract This thesis details three contributions to the advancement of semantic-enriched parsing for English sentences: inventories of semantic relations covering three semantically ambiguous linguistic phenomena, large datasets annotated according to the inventories, … Cited by 4 Related articles All 2 versions

Towards natural-language understanding and automated enforcement of privacy rules and regulations in the cloud: survey and bibliography N Papanikolaou, S Pearson, MC Mont – Secure and Trust Computing, Data …, 2011 – Springer Abstract In this paper we survey existing work on automatically processing legal, regulatory and other policy texts for the extraction and representation of privacy knowledge and rules. Our objective is to link and apply some of these techniques to policy enforcement and … Cited by 3 Related articles All 10 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 ABSTRACT Mobile search is a fast-growing business. Mobile voice search provides an easier way to search for information from mobile devices using voice. Natural language understanding (NLU) is a key component technology in voice search to assure search … Cited by 3 Related articles All 2 versions

Inference and Plausible Reasoning in a Natural Language Understanding System Based on Object-Oriented Semantics Y Ostapov – arXiv preprint arXiv:1202.0116, 2012 – arxiv.org Abstract: Algorithms of inference in a computer system oriented to input and semantic processing of text information are presented. Such inference is necessary for logical questions when the direct comparison of objects from a question and database can not … Cited by 3 Related articles All 3 versions

Learning conditional random fields from unaligned data for natural language understanding D Zhou, Y He – Advances in Information Retrieval, 2011 – Springer Abstract In this paper, we propose a learning approach to train conditional random fields from unaligned data for natural language understanding where input to model learning are sentences paired with predicate formulae (or abstract semantic annotations) without word- … Cited by 3 Related articles All 9 versions

Natural Language Understanding, Where Are We Going? Where Could We Go? G Sabah – The Computer Journal, 2011 – Br Computer Soc Abstract Historically, at the beginning of natural language processing, applications with industrial objectives were preferred, eg for a fully automated translation. Soon, during the 1960s, there were attempts to separate applications from basic theoretical research. Since … Cited by 3 Related articles All 7 versions

Spoken Language Understanding for Natural Interaction: The Siri Experience JR Bellegarda – Natural Interaction with Robots, Knowbots and …, 2014 – Springer … This has sparked interest in a more pervasive spoken language interface, in its most inclusive definition encompassing speech recognition, speech synthesis, natural language understanding, and dialog management. … Natural Language Understanding Dialog Management … Cited by 4 Related articles All 3 versions

Working Structure Knowledge Acquisition from Mechanical Product Patent Based on Natural Language Understanding Q Qing-ying, W Zhao-Xia, F Pei-en… – Computer Science and …, 2009 – ieeexplore.ieee.org Abstract According to the increasing demand of patent knowledge in product innovative design, a working structure knowledge acquisition method, from mechanical product patent, was presented. A representing model of concept graph (CG) for patent working structure … Cited by 2 Related articles All 5 versions

Text Mining by Pseudo-Natural Language Understanding. R Lu – 2009 – igi-global.com Abstract Text mining by pseudo natural language understanding (TM by PNLU for short) is a technique developed by the AST group of Chinese Academy of Sciences, as part of the project automatic knowledge acquisition by PNLU, which introduces a partial parse … Cited by 2 Related articles All 2 versions

[BOOK] An approach to semantic information retrieval based on natural language query understanding B Di Martino – 2010 – Springer … We have presented a technique, an architecture and a prototypical implementation for Information Retrieval based on natural language understanding of query, on represen- tation of semantics of the user need and of the documents by means of OWL ontolo- gies and semantic … Cited by 4 Related articles All 3 versions

Towards a model of constructional meaning for natural language understanding C Periñán-Pascual – … into Functional Linguistics: The role of …, 2013 – books.google.com Few researchers in natural language processing are nowadays concerned with linguistically- aware applications. On the contrary, the prevailing trend is towards the search of engineering solutions to practical problems, where researchers are motivated by the … Cited by 2 Related articles

Question Answering in a Natural Language Understanding System Based on Object-Oriented Semantics Y Ostapov – arXiv preprint arXiv:1111.4343, 2011 – arxiv.org Abstract: Algorithms of question answering in a computer system oriented on input and logical processing of text information are presented. A knowledge domain under consideration is social behavior of a person. A database of the system includes an internal … Cited by 2 Related articles All 3 versions

Ontology-based understanding of natural language queries using nested conceptual graphs TH Cao, AH Mai – Conceptual Structures: From Information to Intelligence, 2010 – Springer … Although performance of machine natural language understanding for the general case appears to be satu- rated after many years of research, limiting the domain of discourse to only ques- tions and querying phrases can make a difference. … Cited by 5 Related articles All 5 versions

Natural language understanding in controlled virtual environments P Ye – 2009 – repository.unimelb.edu.au Abstract Generating computer animation from natural language instructions is a complex task that encompasses several key aspects of artificial intelligence including natural language understanding, computer graphics and knowledge representation. Traditionally, … Cited by 2 Related articles All 6 versions

Understanding Natural Language through the UNL Grammar Work-bench S Alansary, M Nagi, N Adly – Conference on Human Language …, 2011 – bibalex.gov.eg … of Computer and System Engineering, Alexandria, Egypt. No- ha.adly@bibalex.org Abstract This paper is an attempt to introduce the Uni- versal Networking Language (UNL) as a tool for achieving natural language understanding through a capable grammatical framework. … Cited by 2 Related articles All 8 versions

A KBMS of a Natural Language Understanding System Based on Domain [J] X WANG, K ZHAO, P CHENG, W XU – Computer Technology and …, 2009 – en.cnki.com.cn According to the characteristic of natural language understanding in mathematics domain, achieved a field of natural language understanding based on the knowledge base management systems, presented the concept of the knowledge base anomaly detection … Cited by 1 Related articles

A Brief Introduction to Natural Language Understanding and Generation Z Weidong – Terminology Standardization & Information Technology, 2010 – en.cnki.com.cn As a subfield of Artificial Intelligence, the aim of Natural Language Processing is to communicate between computers and human by natural language. In order to realizing it, computers should be able to understand natural language and generate natural language … Cited by 1 Related articles

Natural Language Understanding Grows Up: The Bar Has Been Raised for Technologies That Not Only Hear, but Understand Too M Masterson – CRM Magazine, 2012 – questia.com Interest in natural language understanding (NLU) exploded even before Siri arrived, when IBM’s Watson supercomputer appeared on Jeopardy! last year, competing and ultimately holding its own against human contestants until almost the very end. According to IBM, … Cited by 1 Related articles All 2 versions

Natural language understanding: from laboratory predictions to real interactions P Mota, L Coheur, S Curto, P Fialho – Text, Speech and Dialogue, 2012 – Springer Abstract In this paper we target Natural Language Understanding in the context of Conversational Agents that answer questions about their topics of expertise, and have in their knowledge base question/answer pairs, limiting the understanding problem to the … Cited by 3 Related articles All 5 versions

Addressing Big Data Problems using Semantics and Natural Language Understanding E Khan – … on Telecommunications and Informatics (Tele-Info ’13), …, 2013 – wseas.us Abstract–The need to solve the key problems related to Big Data in a practical and effective way is becoming very important as the data is growing very fast-already exceeding the exabyte range. There are multiple problems with big data including storage, search, … Cited by 1 Related articles

Natural language understanding in governance service automation M Héder, E Bártházi, T Vámos – proceedings of the IFAC 18th world …, 2011 – nt.ntnu.no Abstract: An automatically operating support system for the evaluation of citizens’ claims is reported. Special methods of script and frame hierarchy creation and matching are used for natural language understanding. The system provides tools for teaching and processing … Cited by 1 Related articles All 4 versions

Inducing Ontologies from Folksonomies using Natural Language Understanding. M Tatu, DI Moldovan – LREC, 2010 – lexitron.nectec.or.th Abstract Folksonomies are unsystematic, unsophisticated collections of keywords associated by social bookmarking users to web content and, despite their inconsistency problems (typographical errors, spelling variations, use of space or punctuation as … Cited by 1 Related articles All 5 versions

Natural language understanding for soft information fusion SC Shapiro, DR Schlegel – Information Fusion (FUSION), 2013 …, 2013 – ieeexplore.ieee.org Abstract—Tractor is a system for understanding English messages within the context of hard and soft information fusion for situation assessment. Tractor processes a message through syntactic processors, and represents the result in a formal knowledge representation … Cited by 1 Related articles All 6 versions

Natural Language Understanding For Document And Event Association Using Stochastic Petri Net Modeling MT Mills – 2013 – etd.ohiolink.edu ABSTRACT Mills, Michael Thomas Ph. D., Computer Science and Engineering Ph. D. program, Wright State University, 2013. Natural Language Understanding for Document and Event Association Using Stochastic Petri Nets. Cited by 1 Related articles All 2 versions

Towards natural language processing: A well-formed substring table approach to understanding garden path sentence D Jia-li, Y Ping-fang – Database Technology and Applications ( …, 2010 – ieeexplore.ieee.org … This trend leads to an explosion of activities like information retrieval, automatic summarization, foreign language reading aid, natural language understanding, data integration, data mining, optical character recognition, electronic dictionary, etc. … Cited by 1 Related articles All 2 versions

Graph-Based Methods for Natural Language Processing and Understanding—A Survey and Analysis MT Mills, NG Bourbakis – 2014 – ieeexplore.ieee.org … Abstract—This survey and analysis presents the functional com- ponents, performance, and maturity of graph-based methods for natural language processing and natural language understanding and their potential for mature products. … Cited by 1 Related articles All 2 versions

Dealing with quantifier scope ambiguity in natural language understanding M Hafezi Manshadi – 2014 – gradworks.umi.com Abstract: Quantifier scope disambiguation (QSD) is one of the most challenging problems in deep natural language understanding (NLU) systems. The most popular approach for dealing with QSD is to simply leave the semantic representation (scope-) underspecified …

Natural Language Understanding Based on Semantic Relations between Sentences H Kong – arXiv preprint arXiv:1212.4674, 2012 – arxiv.org Abstract: In this paper, we define event expression over sentences of natural language and semantic relations between events. Based on this definition, we formally consider text understanding process having events as basic unit. Related articles All 2 versions

Method And Apparatus For Dynamic Modification Of Command Weights In A Natural Language Understanding System D Mark, N Ganesh – 2009 – lw20.com Abstract: A method and system for dynamically assigning weights to the subset of commands in a natural language dialog system based on prior context of the user’s interaction with the system. The search space of the translation process may be reduced …

Keynote: Natural Language Understanding, Semantic-based Information Retrieval and Knowledge Management J Tsujii – research.nii.ac.jp Abstract Natural language understanding (NLU) has been taken as one of the core fields, and the hardest one among others, of Artificial Intelligence. As such, it has been considered an impractical technology from the perspective of the real world application. However, the …

Rule-Based Natural Language Understanding Based on Fuzzy Evaluation of Teaching Quality Z Zhaoyin, L Yanfang – Computer Science-Technology and …, 2009 – ieeexplore.ieee.org ABSTRACT: This paper proposes a kind of method based on the rule natural language understanding, it can carry on scientific evaluation in understanding bases of the teachers’ teaching quality. First of all creates the domain library and evaluation library based on the … Related articles All 5 versions

Note from the editor:“Expositions of Romanian scientists on the design of text-to-speech synthesis and natural language understanding and generation systems” A Neustein – International Journal of Speech Technology, 2009 – Springer This special issue of the Journal is devoted to the assorted work of twelve Romanian speech scientists who have brought sharp analytical insights and new methodological approaches to the design of high performing text-to-speech (TTS) and natural language understanding … All 6 versions

Semi-Supervised Learning of Statistical Models for Natural Language Understanding D Zhou, Y He – The Scientific World Journal, 2014 – hindawi.com Natural language understanding is to specify a computational model that maps sentences to their semantic mean representation. In this paper, we propose a novel framework to train the statistical models without using expensive fully annotated data. In particular, the input of …

A method of natural language understanding on SPARQL ontology query T Yang, Z Zhang – … Control and Automation (WCICA), 2011 9th …, 2011 – ieeexplore.ieee.org Abstract—In this paper, the development of a SPARQL ontology query based on Natural Language Understanding is presented. To obtain ontology knowledge conveniently, Stanford Parser for user’s natural language inquiring is utilized, and query triple according … Related articles

Can modern statistical parsers lead to better natural language understanding for education? UZ Ahmed, A Kumar, M Choudhury, K Bali – Computational Linguistics and …, 2012 – Springer Abstract We use state-of-the-art parsing technology to build GeoSynth–a system that can automatically solve word problems in geometric constructions. Through our experiments we show that even though off-the-shelf parsers perform poorly on texts containing specialized … Related articles All 3 versions

Natural Language Understanding for Grading Essay Questions in Persian Language I Mokhtari-Fard – … Linguistics and Natural Language Processing Based …, 2013 – Springer Abstract Many intelligent systems are intended to communicate with users through natural language. Understanding the natural language by the computer is one of the most essential operations in natural language processing. One of the applications of natural languages is … Related articles All 3 versions

Rule-Based Natural Language Understanding Based On Fuzzy Evaluation Of Teaching Quality ZZL Yanfang – Computer Science, 2009 – lw20.com Abstract: This paper proposes a kind of method based on the rule natural language understanding, it can carry on scientific evaluation in understanding bases of the teachers’ teaching quality. First of all creates the domain library and evaluation library based on the …

Research of Natural Language Understanding of Psychology in the Short Text Classification SYLJG Jinlan, L Yi – Journal of Modern Information, 2009 – en.cnki.com.cn The current research of classification of most text focused on large-scale corpus on the basis of choice of the characteristics or classification algorithm. This article is built on less training samples with short length, according to the human brain’s understanding of the …

An Interaction Mining Suite Based On Natural Language Understanding R Delmonte, V Pallotta, V Seretan, L Vrieling… – … Automatique des Langues … – lirmm.fr We introduce InteranalyticsTM Interaction Mining suite, a collection of tools that performs the analysis, summarization and visualization of conversational content. Interaction Mining is an emerging Business Intelligence (BI) application whose main goal is the discovery and … Related articles All 7 versions

Natural Language Understanding for Natural Language Interfaces T Declerck, A Bredenkamp – 134.96.191.190 In this paper we present the linguistic resources-the text handling and the linguistic processing modules-which have been developed for the MELISSA project using the ALEP platform. In particular, we will see how generic (large scale) grammars involving deep … Related articles All 15 versions

Targeted Feature Dropout for Robust Slot Filling in Natural Language Understanding P Xu, R Sarikaya – Fifteenth Annual Conference of the International …, 2014 – 193.6.4.39 Abstract In slot filling with conditional random field (CRF), the strong current word and dictionary features tend to swamp the effect of contextual features, a phenomenon also known as feature undertraining. This is a dangerous tradeoff especially when training data …

Extending the Semantics in Natural Language Understanding M Marlen, D Gustafson – Joint Symposium on Semantic Processing., 2013 – aclweb.org Abstract Natural Language understanding over a set of sentences or a document is a challenging problem. We approach this problem using semantic extraction and building an ontology for answering questions based on the data. There is more information in a … Related articles All 2 versions

Inducing Ontologies from Folksonomies using Natural Language Understanding D Moldovan – 2009 – DTIC Document Abstract: During the Phase I period, Lymba studied the feasibility of an automated system that exposes a folksonomy’s semantic structure. We developed a prototype system that implements our proposed design and exposes a folksonomy’s semantic structure by … Related articles

Natural Language Understanding Systems: Processing Strategies and Processor Structure VS Rubashkin – Russian Digital Libraries Journal, 2014 – elbib.ru Abstract The paper discusses the general architecture of NLU-systems. We focus on three main subjects: target information technology and target knowledge representation language; processing levels interaction and integration; role and proportion of rule-based and …

Research on Chinese Natural Language Understanding and Question-Answering System Based on Agent Y Zhang, C Wang, N Wang, C Wu – Management and Service …, 2010 – ieeexplore.ieee.org Abstract—this paper applies the agent technology and the natural language understanding technology into the question-answering system. Firstly, it introduces the agent technology and the natural language understanding technology; and then a new design method is … Related articles

Human-level natural language understanding: False progress and real challenges PG Bignoli – 2013 – gradworks.umi.com Abstract: The field of Natural Language Processing (NLP) focuses on the study of how utterances composed of human-level languages can be understood and generated. Typically, there are considered to be three intertwined levels of structure that interact to …

Semantic Frame-Based Natural Language Understanding for Intelligent Topic Detection Agent YC Chang, YL Hsieh, CC Chen, WL Hsu – Modern Advances in Applied …, 2014 – Springer Abstract Detecting the topic of documents can help readers construct the background of the topic and facilitate document comprehension. In this paper, we proposed a semantic frame- based method for topic detection that simulates such process in human perception. We … Related articles

Parser as a tool for natural language understanding by machine – Eastern-European Journal of …, 2013 – journals.uran.ua Abstract This article discusses the features of design and implementation of a tool for machine understanding of natural language texts and presents the results obtained. The main purpose of the study is a comprehensive analysis of applicability of modern …

Multi-step Natural Language Understanding P Milhorat, S Schlögl, G Chollet, J Boudy – SIGdial 2013: 14th Annual …, 2013 – aclweb.org Abstract While natural language as an interaction modality is increasingly being accepted by users, remaining technological challenges still hinder its widespread employment. Tools that better support the design, development and improvement of these types of applications … Related articles All 7 versions

Natural Language Query Understanding TH Cao – Conceptual Graphs and Fuzzy Logic, 2010 – Springer … Although per- formance of machine natural language understanding for the general case appears to be saturated after many years of research, limiting the domain of discourse to only questions and querying phrases can make a difference. … All 2 versions

NALUPES–Natural Language Understanding and Processing Expert System A Pu?ka – cdn.intechweb.org Today, modern electronic devices are supplied with many new sophisticated functions, and expectations of their users are constantly growing. Abilities of natural language handling, ie understanding and processing commands given in natural language undoubtedly … Related articles All 4 versions

Verb Semantics for Natural Language Understanding DT Wijaya – cs.cmu.edu Abstract A verb is the organizational core of a sentence. Understanding the meaning of the verb is therefore key to understanding the meaning of the sentence. Natural language understanding is the problem of mapping natural language text to its meaning …

Natural Language Understanding Considerations for a Lifelong Learning Companion MG Core – … and Collaborating through Computing (C5), 2012 …, 2012 – ieeexplore.ieee.org Abstract—In this paper, we present considerations for natural language processing for a lifelong learning companion. In the context of these considerations, we review related work in automated assessment of learner writing and present an idea for augmenting keyword … Cited by 1 Related articles All 6 versions

BEETLE II: Deep Natural Language Understanding and Automatic Feedback Generation for Intelligent Tutoring in Basic Electricity and Electronics M Dzikovska, N Steinhauser, E Farrow, J Moore… – International Journal of …, 2014 – Springer Abstract Within STEM domains, physics is considered to be one of the most difficult topics to master, in part because many of the underlying principles are counter-intuitive. Effective teaching methods rely on engaging the student in active experimentation and …

Lattice-based approach to building templates for natural language understanding in intelligent tutoring systems S Devasani, SB Blessing, S Gilbert – Artificial Intelligence in Education, 2011 – Springer Abstract We describe a domain-independent authoring tool, ConceptGrid, that helps non- programmers develop intelligent tutoring systems (ITSs) that perform natural language processing. The approach involves the use of a lattice-style table-driven interface to build … Related articles All 4 versions

Mivar thechnologies in mathematical modeling of natural language, images and human speech understanding OO Varlamov, LE Adamova, DV Eliseev… – International Journal of …, 2014 – journal-s.org … mivar networks. Keywords: mivar; mivar networks; artificial intelligence (AI); natural language understanding; logical inference with linear computational complexity; expert systems; active databases. 1. INTRODUCTION As we … Cited by 1 Related articles All 2 versions

Coarse-grained parallelism in natural language understanding: parsing as message passing S SCHACHT, UDO HAHN – New Methods In Language …, 2013 – books.google.com This paperl surveys ParseTalk, a grammar model for natural language analysis that combines lexical organization of grammatical knowledge with lexicalized control of the corresponding parser in an object-oriented speci?cation framework. Our research takes … Related articles

Application of Deep Belief Networks for Natural Language Understanding. R Sarikaya, GE Hinton… – IEEE/ACM Transactions …, 2014 – learning.cs.toronto.edu Abstract—Applications of deep belief nets (DBN) to various problems have been the subject of a number of recent studies ranging from image classification and speech recognition to audio classification. In this study we apply DBNs to a natural language understanding … Cited by 2 Related articles All 4 versions

Constrained Conditional Models: Integer Linear Programming Formulations for Natural Language Understanding D Roth – … Programming meets Machine Learning and Data … – vesta.informatik.rwth-aachen.de Intelligent Information Access and Extraction suggest significant challenges for Natural Language analysis. Tasks of interest include semantic role labeling (determining who did what to whom, when and where), information extraction (identifying events, entities and … All 4 versions

[BOOK] Massively parallel reasoning: a structured connectionist approach to natural language understanding and memory retrieval TE Lange, MG Adviser-Dyer – 2009 – dl.acm.org Abstract Connectionist models have generally not been able to perform natural language understanding or episodic memory retrieval beyond simple stereotypical situations that they have seen before. This is because they have had difficulties representing and applying … All 2 versions

Markov Logic Networks for Incremental Natural Language Understanding C Kennington, D Schlangen – … of the 13th Meeting of the …, 2012 – pub.uni-bielefeld.de We present work on understanding natural lan- guage in a situated domain, that is, language that possibly refers to visually present enti- ties, in an incremental, word-by-word fashion. Such type of understanding is required in con- versational systems that need to act immedi- … Related articles

Improving Classification-Based Natural Language Understanding with Non-Expert Annotation F Morbini, E Forbell, K Sagae – 15th Annual Meeting of the Special …, 2014 – aclweb.org Abstract Although data-driven techniques are commonly used for Natural Language Understanding in dialogue systems, their efficacy is often hampered by the lack of appropriate annotated training data in sufficient amounts. We present an approach for …

intelligent decision support system based on natural language understanding YXZFZ Fan, Y Bingru – Management, 2009 – lw20.com Abstract: In this paper, we simply introduced the traditional decision support system and its characteristics and limitations. And then some new types of intelligent decision support system are recommended, such as GDSS, DDSS, 3IDSS and IDSSKD. And at last IDSS …

The Recovery of Omissible Noun in Natural Language Understanding and Its Application on Product Design K Li, YT Li, ZZ Yi, K Zhao – Intelligent Systems and Applications …, 2011 – ieeexplore.ieee.org Abstract—The paper focuses on the phenomenon of noun omission in the natural language understanding system. Based on the analysis of the omission in user requirements in natural language form, we will eventually result into the conceptual design requirements or … Related articles All 2 versions

Logical analysis of natural language semantics to solve the problem of computer understanding Y Ostapov – arXiv preprint arXiv:1308.1507, 2013 – arxiv.org … E-mail: yugo.ost@gmail.com Abstract An object–oriented approach to create a natural language understanding system is considered. … 1. Introduction The given paper is devoted to logical aspects of object–oriented approach to create a natural language understanding system. … Related articles All 2 versions

Reasoning for Natural Language Understanding E Ovchinnikova – … World Knowledge for Natural Language Understanding, 2012 – Springer Abstract In order to understand a natural language expression it is usually not enough to know the literal (“dictionary”) meaning of the words used in this expression and compositional rules of the corresponding language. Much more knowledge is actually … All 2 versions

Configuring Domain Knowledge for Natural Language Understanding M Selway, W Mayer, M Stumptner – 15 th International …, 2013 – researchgate.net Abstract Knowledge-based configuration has been used for numerous applications including natural language processing (NLP). By formalising property grammars as a configuration problem, it has been shown that configuration can provide a flexible, … Related articles All 4 versions

Predicting Garden Path Sentences Based on Natural Language Understanding System J DU, P YU – 2012 – thesai.org Abstract—Natural language understanding (NLU) focusing on machine reading comprehension i sa branch of natural language processing (NLP). The domain of the developing NLU system covers from sentence decoding to text understanding and the … Related articles All 5 versions

Natural Language Understanding and Prediction: from Formal Grammars to Large Scale Machine Learning N Duta – Fundamenta Informaticae, 2014 – IOS Press Scientists have long dreamed of creating machines humans could interact with by voice. Although one no longer believes Turing’s prophecy that machines will be able to converse like humans in the near future, real progress has been made in the voice and text-based … Cited by 1 Related articles All 2 versions

Natural Language Understanding and World Knowledge E Ovchinnikova – … World Knowledge for Natural Language Understanding, 2012 – Springer Abstract In artificial intelligence and computational linguistics, natural language understanding (NLU) is a subfield of natural language processing that deals with machine reading comprehension. The goal of an NLU system is to interpret an input text fragment. … All 2 versions

An Approach to Natural Language Understanding M Marlen – 2014 – krex.k-state.edu Natural Language understanding over a set of sentences or a document is a challenging problem. We approach this problem using semantic extraction and an ontology for answering questions based on the data. There is more information in a sentence than that … Related articles

Situated incremental natural language understanding using Markov Logic Networks C Kennington, D Schlangen – Computer Speech & Language, 2014 – Elsevier Abstract We present work on understanding natural language in a situated domain in an incremental, word-by-word fashion. We explore a set of models specified as Markov Logic Networks and show that a model that has access to information about the visual context … Cited by 2 Related articles All 5 versions

Situated Incremental Natural Language Understanding using a Multimodal, Linguistically-driven Update Model C Kennington, S Kousidis, D Schlangen – Proceedings of COLING, 2014 – aclweb.org Abstract A common site of language use is interactive dialogue between two people situated together in shared time and space. In this paper, we present a statistical model for understanding natural human language that works incrementally (ie, does not wait until …

Processing big data with natural semantics and natural language understanding using brain-like approach E Khan – naun.org Abstract–We propose semantics and associated Natural Language Understanding (NLU) based approach to address the key problems of big data. Our approach use human Brain- Like and Brain-Inspired algorithms as humans can very effectively retrieve knowledge … Related articles

IsNL? a discriminative approach to detect natural language like queries for conversational understanding. A Celikyilmaz, G Tür, D Hakkani-Tür – INTERSPEECH, 2013 – research.microsoft.com … March 1992. [3] R. Kuhn and RD Mori, “The application of seman- tic classification trees to natural language understanding,” IEEE Transactions on Pattern Analysis and Machine In- telligence, vol. 17, pp. 449–460, 1995. [4] Y … Cited by 1 Related articles All 6 versions