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Natural Language Processing for Lexical Corpus Analysis
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In: Doctoral Dissertations (2021)
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Towards Programming in Natural Language: Learning New Functions from Spoken Utterances ...
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Towards Programming in Natural Language: Learning New Functions from Spoken Utterances
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In: International journal of semantic computing, 14 (2), 249–272 ; ISSN: 1793-351X, 1793-7108 (2020)
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Abstract:
Systems with conversational interfaces are rather popular nowadays. However, their full potential is not yet exploited. For the time being, users are restricted to calling predefined functions. Soon, users will expect to customize systems to their needs and create own functions using nothing but spoken instructions. Thus, future systems must understand how laypersons teach new functionality to intelligent systems. The understanding of natural language teaching sequences is a first step toward comprehensive end-user programming in natural language. We propose to analyze the semantics of spoken teaching sequences with a hierarchical classification approach. First, we classify whether an utterance constitutes an effort to teach a new function or not. Afterward, a second classifier locates the distinct semantic parts of teaching efforts: declaration of a new function, specification of intermediate steps, and superfluous information. For both tasks we implement a broad range of machine learning techniques: classical approaches, such as Naïve Bayes, and neural network configurations of various types and architectures, such as bidirectional LSTMs. Additionally, we introduce two heuristic-based adaptations that are tailored to the task of understanding teaching sequences. As data basis we use 3168 descriptions gathered in a user study. For the first task convolutional neural networks obtain the best results (accuracy: 96.6%); bidirectional LSTMs excel in the second (accuracy: 98.8%). The adaptations improve the first-level classification considerably (plus 2.2% points).
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Keyword:
artificial intelligence; computational linguistics; conversational interfaces; DATA processing & computer science; ddc:004; end-user programming; info:eu-repo/classification/ddc/004; intelligent systems; machine learning; natural language processing; natural language understanding; naturalistic programming; neural networks; Programming in natural language; spoken language understanding
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URL: https://publikationen.bibliothek.kit.edu/1000124405 https://doi.org/10.5445/IR/1000124405/post https://publikationen.bibliothek.kit.edu/1000124405/130160664
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Practical Natural Language Generation from Knowledge Graphs
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In: Embargoed Honors Theses, University of Nebraska-Lincoln (2019)
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Programming in Natural Language: Building Algorithms from Human Descriptions
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Mining a Multimodal Corpus of Doctor's Training for Virtual Patient's Feedbacks
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In: 19th International Conference on Multimodal Interaction (ICMI) ; https://hal.archives-ouvertes.fr/hal-01654812 ; 19th International Conference on Multimodal Interaction (ICMI), Nov 2017, Glasgow, United Kingdom. ⟨10.1145/3136755.3136816⟩ (2017)
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Visual Analysis of Text Annotations for Stance Classification with ALVA ...
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Context Detection In Spreadsheets Based On Automatically Inferred Table Schema ...
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Context Detection In Spreadsheets Based On Automatically Inferred Table Schema ...
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User Interfaces to the Web of Data based on Natural Language Generation ...
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User Interfaces to the Web of Data based on Natural Language Generation
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A Biopsychological Foundation for Linguistics
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In: Electronic Thesis and Dissertation Repository (2015)
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Contex-aware gestures for mixed-initiative text editings UIs
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Man-Machine Interaction Improvement by Means of Automatic Human Personality Identification
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In: Lecture Notes in Computer Science ; 13th IFIP International Conference on Computer Information Systems and Industrial Management (CISIM) ; https://hal.inria.fr/hal-01405598 ; 13th IFIP International Conference on Computer Information Systems and Industrial Management (CISIM), Nov 2014, Ho Chi Minh City, Vietnam. pp.278-289, ⟨10.1007/978-3-662-45237-0_27⟩ (2014)
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Visuelle Analyse von Präpositionen in deutschen Texten
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Zaiß, Melanie. - : Stuttgart, Germany, Universität Stuttgart, 2014
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In: ftp://ftp.informatik.uni-stuttgart.de/pub/library/medoc.ustuttgart_fi/BCLR-0118/BCLR-0118.pdf (2014)
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Misheard Me Oronyminator: Using Oronyms to Validate The Correctness of Frequency Dictionaries
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In: Master's Theses (2013)
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Modèle d'analyse morpho-syntaxique adaptatif au web usages : ré-indexation sociale dans une norme syntagmatique
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In: Colloque International CNPLET/MEN-LABORATOIRE (Alégrie) & Laboratoire PARAGRAPHE Paris8 (France ; https://hal.inria.fr/hal-00927183 ; Colloque International CNPLET/MEN-LABORATOIRE (Alégrie) & Laboratoire PARAGRAPHE Paris8 (France, Le C.N.P.L.E.T et le C.R.S.T.D.L.A (Algérie), en partenariat avec le Laboratoire Paragraphe des Universités (Paris 8 et Cergy - Pontoise, France), Nov 2013, Ghardaïa, Algérie ; http://www.paragraphe.univ-paris8.fr/colloque_international/amenagement_lexical_terminologie_traductionnelle/ (2013)
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Semantic question answering system over linked data using relational patterns
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In: http://www.edbt.org/Proceedings/2013-Genova/papers/workshops/a12-hakimov.pdf (2013)
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Designing an Exploratory Text Analysis Tool for Humanities and Social Sciences Research
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In: Shrikumar, Aditi. (2013). Designing an Exploratory Text Analysis Tool for Humanities and Social Sciences Research. UC Berkeley: Computer Science. Retrieved from: http://www.escholarship.org/uc/item/9f88p8t2 (2013)
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