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All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year Sort by creator [A → Z]' creator [Z → A]' publishing year ↑ (asc)' publishing year ↓ (desc)' title [A → Z]' title [Z → A]' Simple Search Hits 1 – 9 of 9 1 Eine agentenbasierte Architektur für Programmierung mit gesprochener Sprache ... Weigelt, Sebastian. - : KIT Scientific Publishing, 2022 BASE Show details 2 Eine agentenbasierte Architektur für Programmierung mit gesprochener Sprache Weigelt, Sebastian. - : KIT Scientific Publishing, Karlsruhe, 2022 BASE Show details 3 Eine agentenbasierte Architektur für Programmierung mit gesprochener Sprache ... Weigelt, Sebastian. - : Karlsruher Institut für Technologie (KIT), 2021 BASE Show details 4 Eine agentenbasierte Architektur für Programmierung mit gesprochener Sprache Weigelt, Sebastian. - : KIT-Bibliothek, Karlsruhe, 2021 BASE Show details 5 Programming in Natural Language with fuSE : Synthesizing Methods from Spoken Utterances Using Deep Natural Language Understanding ... Weigelt, Sebastian; Steurer, Vanessa; Hey, Tobias. - : Karlsruhe, 2020 BASE Show details 6 Towards Programming in Natural Language: Learning New Functions from Spoken Utterances ... Weigelt, Sebastian; Steurer, Vanessa; Hey, Tobias. - : World Scientific Publishing, 2020 BASE Show details 7 Towards Programming in Natural Language: Learning New Functions from Spoken Utterances Hey, Tobias; Weigelt, Sebastian; Steurer, Vanessa... In: International journal of semantic computing, 14 (2), 249–272 ; ISSN: 1793-351X, 1793-7108 (2020) BASE Show details 8 Programming in Natural Language with fuSE : Synthesizing Methods from Spoken Utterances Using Deep Natural Language Understanding Weigelt, Sebastian; Hey, Tobias; Tichy, Walter F.; Steurer, Vanessa. - : Association for Computational Linguistics, 2020 Abstract: The key to effortless end-user programming is natural language. We examine how to teach intelligent systems new functions, expressed in natural language. As a first step, we collected 3168 samples of teaching efforts in plain English. Then we built fuSE, a novel system that translates English function descriptions into code. Our approach is three-tiered and each task is evaluated separately. We first classify whether an intent to teach new functionality is present in the utterance (accuracy: 97.7% using BERT). Then we analyze the linguistic structure and construct a semantic model (accuracy: 97.6% using a BiLSTM). Finally, we synthesize the signature of the method, map the intermediate steps (instructions in the method body) to API calls and inject control structures (F1: 67.0% with information retrieval and knowledge-based methods). In an end-to-end evaluation on an unseen dataset fuSE synthesized 84.6% of the method signatures and 79.2% of the API calls correctly. Keyword: DATA processing & computer science; ddc:004; info:eu-repo/classification/ddc/004 URL: https://publikationen.bibliothek.kit.edu/1000124407 https://publikationen.bibliothek.kit.edu/1000124407/89592930 https://doi.org/10.5445/IR/1000124407 BASE Hide details 9 Zielsystemunabhängige Quelltextsynthese aus natürlicher Sprache Kiesel, Viktor. - : Karlsruher Institut für Technologie, 2019 BASE Show details

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