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Programming in Natural Language with fuSE: Synthesizing Methods from Spoken Utterances Using Deep Natural Language Understanding.

, , , and . ACL, page 4280-4295. Association for Computational Linguistics, (2020)

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Automatic Generation of Virtual Assistants from Databases using Active Ontologies., , , and . SEKE, page 32-48. KSI Research Inc. and Knowledge Systems Institute Graduate School, (2019)Poster: ProNat: An Agent-Based System Design for Programming in Spoken Natural Language., and . ICSE (2), page 819-820. IEEE Computer Society, (2015)ISBN 978-1-4799-1934-5 (Vol. I + II ???).Programming in Natural Language with fuSE: Synthesizing Methods from Spoken Utterances Using Deep Natural Language Understanding., , , and . Software Engineering, volume P-310 of LNI, page 117-118. Gesellschaft für Informatik e.V., (2021)How to Prepare an API for Programming in Natural Language., , and . SEMANTiCS (Posters & Demos), volume 2451 of CEUR Workshop Proceedings, CEUR-WS.org, (2019)Eine agentenbasierte Architektur für Programmierung mit gesprochener Sprache.. Karlsruhe Institute of Technology, Germany, (2021)Detection of Conditionals in Spoken Utterances., , and . ICSC, page 85-92. IEEE Computer Society, (2018)Integrating a Dialog Component into a Framework for Spoken Language Understanding., , and . RAISE@ICSE, page 1-7. ACM, (2018)Improving Traceability Link Recovery Using Fine-grained Requirements-to-Code Relations., , , and . ICSME, page 12-22. IEEE, (2021)Programming in Natural Language with fuSE: Synthesizing Methods from Spoken Utterances Using Deep Natural Language Understanding., , , and . ACL, page 4280-4295. Association for Computational Linguistics, (2020)Roger that! Learning How Laypersons Teach New Functions to Intelligent Systems., , , and . ICSC, page 93-100. IEEE, (2020)