Abstract
Within the project of F-2 personal robot we design a system for automatic text comprehension (parser). It enables the robot to choose “relevant” emotional reactions (output speech and gestures) to an incoming text – currently in Russian. The system executes morphological and syntactic analysis of the text and further constructs its semantic representation. This is a shallow representation where a set of semantic markers (lexical semantics) is distributed between a set of semantic roles – structure of the situation (fact). This representation may be used as (a) fact description – to search for facts with a given structure and (b) basis to invoke emotional reactions (gestures, facial expressions and utterances) to be performed by the personal robot within a dialogue. We argue that the execution of a relevant emotional reaction can be considered as a characteristic of text comprehension by computer systems.
Design of the syntactic parser is supported by RFBR grant 16-29-09601 ofi_m, and design of the F-2 robot is executed within the research program of “Kurchatov Institute”.
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Kotov, A., Arinkin, N., Filatov, A., Zaidelman, L., Zinina, A. (2018). Semantic Comprehension System for F-2 Emotional Robot. In: Samsonovich, A., Klimov, V. (eds) Biologically Inspired Cognitive Architectures (BICA) for Young Scientists. BICA 2017. Advances in Intelligent Systems and Computing, vol 636. Springer, Cham. https://doi.org/10.1007/978-3-319-63940-6_17
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