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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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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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Abstract:
Our work is where the Software Engineering meets the Human Computer Interaction and the End User Programming to aim for a major breakthrough by making machines programmable in ordinary and unrestricted language. In this paper, we provide a solution on how new algorithms can be recognized and learned from human descriptions. Our focus is to improve the interaction between humans and machines and enable the end user to instruct programmable devices, without having to learn a programming language. In a test-driven development, we created a platform that allows users to manipulate spreadsheet data by using natural language. Therefore, the system (i) enables end users to give instructions step-by-step, to avoid the complexity in full descriptions and give directly feedback of success (ii) creates an abstract meta model for user input during the linguistic analysis and (iii) independently interprets the meta model to code sequences that contain loops, conditionals, and statements. The context then places the recognized program component in the history. In this way, an algorithm is generated in an interactive process. One of the result can be the code sequence for algorithm, like well-known selection sort. We present a series of ontology structures for matching instructions to declare variables, loop, make decisions, etc. Furthermore, our system asks clarification questions when the human user is ambiguous. During the evaluation, 11 undergraduate students were asked to solve tasks by using natural language, and describe algorithms in three classes of complexity. Overall, the system was able to transform 60% of the user statements into code. Far from perfect, this research might lead to fundamental changes in computer use. Rather than merely consuming software, end users of the ever-increasing variety of digital devices could develop their own programs, potentially leading to novel, highly personalized, and plentiful solutions.
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Keyword:
DATA processing & computer science; ddc:004; Dialog Systems; End User Programming; Human Computer Interaction; info:eu-repo/classification/ddc/004; Natural Language Interfaces; Natural Language Processing; Programming In Natural Language
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URL: https://publikationen.bibliothek.kit.edu/1000094119
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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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