Search results for "Natural language"

showing 10 items of 650 documents

Measuring Semantic Coherence of a Conversation

2018

Conversational systems have become increasingly popular as a way for humans to interact with computers. To be able to provide intelligent responses, conversational systems must correctly model the structure and semantics of a conversation. We introduce the task of measuring semantic (in)coherence in a conversation with respect to background knowledge, which relies on the identification of semantic relations between concepts introduced during a conversation. We propose and evaluate graph-based and machine learning-based approaches for measuring semantic coherence using knowledge graphs, their vector space embeddings and word embedding models, as sources of background knowledge. We demonstrat…

FOS: Computer and information sciencesWord embeddingComputer scienceComputer Science - Artificial Intelligencemedia_common.quotation_subjectihmisen ja tietokoneen vuorovaikutus02 engineering and technologycomputer.software_genrekeskustelu020204 information systems0202 electrical engineering electronic engineering information engineeringConversationconversational systemsmedia_commonComputer Science - Computation and Languagebusiness.industrykoneoppiminenArtificial Intelligence (cs.AI)Knowledge graphsemantiikkaGraph (abstract data type)020201 artificial intelligence & image processingArtificial intelligencebusinesssemantic coherencecomputerComputation and Language (cs.CL)Natural language processing
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EHeBby: An evocative humorist chat-bot

2008

A conversational agent, capable to have a "sense of humor" is presented. The agent can both generate humorous sentences and recognize humoristic expressions introduced by the user during the dialogue. EHeBby is an entertainment oriented conversational agent implemented using the ALICE framework embedded into an Yahoo! Messenger client. It is characterized by two areas: a rational, rule-based area and an evocative area. The first one is based on well founded techniques of computational humor and a standard AIML KB. The second one is based on a conceptual space, automatically induced by a corpus of funny documents, where KB items and user sentences are mapped. This area emulates an associativ…

Facial expressionComputer Networks and CommunicationsComputer sciencebusiness.industryComputational humorTK5101-6720AIMLcomputer.software_genreconversational agent computational humor conceptual spaceComputer Science ApplicationsEntertainmentHuman–computer interactionTelecommunicationArtificial intelligenceDialog systemAlice (programming language)businesscomputerAssociative propertyNatural language processingcomputer.programming_languageAvatar
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Effective feature descriptor-based new framework for off-line text-independent writer identification

2018

Feature engineering is a key factor of machine learning applications. It is a fundamental process in writer identification of handwriting, which is an active and challenging field of research for many years. We propose a conceptually computationally efficient, yet simple and fast local descriptor referred to as Block Wise Local Binary Count (BW-LBC) for offline text-independent writer identification of handwritten documents. Proposed BW-LBC operator, which characterizes the writing style of each writer, is applied to a set of connected components extracted and cropped from scanned handwriting samples (documents or set of words/text lines) where each labeled component is seen as a texture im…

Feature engineering0209 industrial biotechnologyComputer sciencebusiness.industryFeature vectorFeature extraction02 engineering and technologycomputer.software_genreWriting styleIdentification (information)020901 industrial engineering & automationHandwritingClassifier (linguistics)ComputingMethodologies_DOCUMENTANDTEXTPROCESSING0202 electrical engineering electronic engineering information engineering020201 artificial intelligence & image processingArtificial intelligencebusinesscomputerArabic scriptNatural language processing2018 International Conference on Intelligent Systems and Computer Vision (ISCV)
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Automatic Content Analysis of Computer-Supported Collaborative Inquiry-Based Learning Using Deep Networks and Attention Mechanisms

2020

Computer-supported collaborative inquiry-based learning (CSCIL) represents a form of active learning in which students jointly pose questions and investigate them in technology-enhanced settings. Scaffolds can enhance CSCIL processes so that students can complete more challenging problems than they could without scaffolds. Scaffolding CSCIL, however, would optimally adapt to the needs of a specific context, group, and stage of the group's learning process. In CSCIL, the stage of the learning process can be characterized by the inquiry-based learning (IBL) phase (orientation, conceptualization, investigation, conclusion, and discussion). In this presentation, we illustrate the potential of a…

Feature engineeringWord embeddingComputer scienceProcess (engineering)Context (language use)neuroverkot010501 environmental sciencesoppimisanalytiikkaMachine learningcomputer.software_genre01 natural sciencesluonnollinen kielitietokoneavusteinen oppimineninquiry based learningnatural language processingyhteisöllinen oppiminentutkiva oppiminen0105 earth and related environmental sciencesInterpretabilityArtificial neural networkbusiness.industry05 social sciences050301 educationsisällönanalyysideep neural networksActive learningInquiry-based learningArtificial intelligencebusiness0503 educationcomputer
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CitySearcher: A City Search Engine For Interests

2017

We introduce CitySearcher, a vertical search engine that searches for cities when queried for an interest. Generally in search engines, utilization of semantics between words is favorable for performance improvement. Even though ambiguous query words have multiple semantic meanings, search engines can return diversified results to satisfy different users' information needs. But for CitySearcher, mismatched semantic relationships can lead to extremely unsatisfactory results. For example, the city Sale would incorrectly rank high for the interest shopping because of semantic interpretations of the words. Thus in our system, the main challenge is to eliminate the mismatched semantic relationsh…

Feature engineeringWord embeddingkaupungitComputer scienceInformation needs02 engineering and technologysemanttinen webSemanticscomputer.software_genresearch enginesSearch enginesemantic web020204 information systems0202 electrical engineering electronic engineering information engineeringhakuohjelmatWord2vectowns and citiesta113Information retrievalbusiness.industryRank (computer programming)Semantic searchsuosittelujärjestelmätVertical search020201 artificial intelligence & image processingLearning to rankArtificial intelligencerecommender systemsbusinesscomputerNatural language processing
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RECOGNIZABLE PICTURE LANGUAGES

1992

The purpose of this paper is to propose a new notion of recognizability for picture (two-dimensional) languages extending the characterization of one-dimensional recognizable languages in terms of local languages and alphabetic mappings. We first introduce the family of local picture languages (denoted by LOC) and, in particular, prove the undecidability of the emptiness problem. Then we define the new family of recognizable picture languages (denoted by REC). We study some combinatorial and language theoretic properties of REC such as ambiguity, closure properties or undecidability results. Finally we compare the family REC with the classical families of languages recognized by four-way a…

Finite-state machinebusiness.industrymedia_common.quotation_subjectClosure (topology)Abstract family of languagesComputer Science::Computation and Language (Computational Linguistics and Natural Language and Speech Processing)AmbiguityOntology languageCone (formal languages)DecidabilityPhilosophy of languageTheoryofComputation_MATHEMATICALLOGICANDFORMALLANGUAGESArtificial IntelligenceComputer Science::Programming LanguagesComputer Vision and Pattern RecognitionArtificial intelligencebusinessComputer Science::Formal Languages and Automata TheorySoftwareMathematicsmedia_commonInternational Journal of Pattern Recognition and Artificial Intelligence
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The potential of temporal analysis: Combining log data and lag sequential analysis to investigate temporal differences between scaffolded and non-sca…

2020

This paper contributes to the ongoing discussion about analysing the temporal aspects of learning processes in the educational technology research field. Our main aim was to advance methods for analysing temporal aspects of technology-enhanced learning (TEL) processes by introducing the temporal lag sequential analysis (TLSA) technique and by combining TLSA with temporal log data analysis (TLDA). Our secondary aim was to illustrate the potential of these two analysis techniques to reveal the differences between the face-to-face technology-enhanced collaborative inquiry-based learning (CIBL) processes of three different conditions (non-scaffolded, writing scaffolded and script scaffolded gro…

General Computer ScienceComputer sciencescaffoldingcomputer.software_genre050105 experimental psychologyField (computer science)Computer-Supported Collaborative LearningEducationMoodleLog datatietokoneavusteinen oppiminentechnology-enhanced inquiry0501 psychology and cognitive sciencesyhteisöllinen oppiminenlag sequential analysisbusiness.industryGroup (mathematics)05 social sciencesEducational technology050301 educationIntelligent Tutoring SystemsLag sequential analysisAsynchronous communicationpostsecondary educationkorkeakouluopiskeluInquiry-based learningScreen captureArtificial intelligencebusinesscooperative/collaborative learning0503 educationcomputeroppimisprosessiNatural language processingComputers & Education
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From Nerode's congruence to Suffix Automata with mismatches

2009

AbstractIn this paper we focus on the minimal deterministic finite automaton Sk that recognizes the set of suffixes of a word w up to k errors. As first result we give a characterization of the Nerode’s right-invariant congruence that is associated with Sk. This result generalizes the classical characterization described in [A. Blumer, J. Blumer, D. Haussler, A. Ehrenfeucht, M. Chen, J. Seiferas, The smallest automaton recognizing the subwords of a text, Theoretical Computer Science, 40, 1985, 31–55]. As second result we present an algorithm that makes use of Sk to accept in an efficient way the language of all suffixes of w up to k errors in every window of size r of a text, where r is the…

General Computer ScienceOpen problem[INFO.INFO-DS]Computer Science [cs]/Data Structures and Algorithms [cs.DS]0102 computer and information sciences02 engineering and technologyString searching algorithm01 natural sciencesTheoretical Computer ScienceCombinatoricsDeterministic automatonSuffix automata0202 electrical engineering electronic engineering information engineeringCombinatorics on words Indexing Suffix Automata Languages with mismatches Approximate string matchingMathematicsDiscrete mathematicsCombinatorics on wordsApproximate string matchingSettore INF/01 - InformaticaLanguages with mismatchesComputer Science::Computation and Language (Computational Linguistics and Natural Language and Speech Processing)PrefixCombinatorics on wordsDeterministic finite automaton010201 computation theory & mathematicsSuffix automatonIndexing020201 artificial intelligence & image processingSuffixComputer Science::Formal Languages and Automata TheoryComputer Science(all)
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Latin Object and Subject Infinitive Clauses

2012

The paper is devoted to the theoretical and descriptive problems caused by Latin accusative with infinitive constructions. Latin infinitives can have an accusative subject also in constructions in which neither of the two conditions of accusative licensing by the matrix verb is satisfied: the matrix verb is intransitive, or the infinitive phrase is in subject or adjunct position, and furthermore, there is evidence of the infinitival clause also projhecting a CP - even if no visible complementizer is present. In Latin, the infinitive phrase is often coindexed with a third demonstrative pronoun, which allows the hypothesis that the infinitival CP (similar to an object that-clause) is base-gen…

Generative linguisticsComputer sciencebusiness.industrySubject (grammar)Object (grammar)Infinitiveinfinitive clauses subject in the accusative Latin languageArtificial intelligencecomputer.software_genrebusinesscomputerNatural language processingLinguistics
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Grammar based content completion method using Lua LPeg.re module

2014

A grammar based content completion method for Lua programming language and its LPeg.re module environment is described in this paper. The use of our method is not demanding in computing resources, as well as it is easy to add the content completion functionality to any target language grammar. We report on the application of our method for OWL Manchester syntax expression grammar, as well as custom database-to-ontology mapping language.

GrammarComputer sciencebusiness.industryProgramming languageAttribute grammarmedia_common.quotation_subjectLink grammarOperator-precedence grammarcomputer.software_genreAdaptive grammarTheoryofComputation_MATHEMATICALLOGICANDFORMALLANGUAGESExtended Affix GrammarAffix grammarRegular grammarArtificial intelligencebusinesscomputerNatural language processingmedia_common2014 IEEE 2nd Workshop on Advances in Information, Electronic and Electrical Engineering (AIEEE)
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