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Type of publication: Straipsnis konferencijos medžiagoje Clarivate Analytics Web of Science ar/ir Scopus / Article in Clarivate Analytics Web of Science or Scopus DB conference proceedings (P1a)
Field of Science: Informatika / Informatics (N009)
Author(s): Markievicz, Irena;Tamošiūnaitė, Minija;Vitkutė-Adžgauskienė, Daiva;Kapočiūtė-Dzikienė, Jurgita;Valterytė, Rita;Krilavičius, Tomas
Title: Reading comprehension of natural language instructions by robots
Is part of: BDAS 2017: 13th international conference Beyond databases, architectures and structure. Towards efficient solutions for data analysis and knowledge representation, Ustroń, Poland, May 30 - June 2, 2017 : proceedings. Cham : Springer, 2017
Extent: p. 288-301
Date: 2017
Note: Serija: Communications in Computer and Information Science book series (CCIS, volume 716). Online ISBN 978-3-319-58274-0
Keywords: Robotics;Human language;Robots
ISBN: 9783319582733
Abstract: We address the problem of robots executing instructions written for humans. The goal is to simplify and speed-up the process of robot adaptation to certain tasks, which are described in human language. We propose an approach, where semantic roles are attached to the components of instructions which lead to robotic execution. However, extraction of such roles from the sentence is not trivial due to the prevalent non determinism of human language. We propose algorithms for extracting actions and object names with roles and explain, how it leads to the robotic execution via attached sub-symbolic information of previous execution examples for rotor assembly and bio(technology) laboratory scenarios. The precision for the main action extraction is 0.977, for the main, primary and secondary objects is 0.828, 0.943 and 0.954, respectively
Affiliation(s): Informatikos fakultetas
Sistemų analizės katedra
Taikomosios informatikos katedra
Vytauto Didžiojo universitetas
Appears in Collections:Universiteto mokslo publikacijos / University Research Publications

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