TY - GEN
T1 - Gradual Acquisition of Mental State Meaning
T2 - 36th Annual Meeting of the Cognitive Science Society, CogSci 2014 co-located with the 28th AAAI Conference on Artificial Intelligence, AAAI 2014
AU - Barak, Libby
AU - Fazly, Afsaneh
AU - Stevenson, Suzanne
N1 - Publisher Copyright:
© 2014 Proceedings of the 36th Annual Meeting of the Cognitive Science Society, CogSci 2014. All rights reserved.
PY - 2014
Y1 - 2014
N2 - The acquisition of Mental State Verbs (MSVs) has been extensively studied in respect to their common occurrence with sentential complement syntax. However, MSVs also occur in a variety of other syntactic structures. Moreover, other verb classes frequently occur with sentential complements, e.g., Communication and Perception verbs. The similarity in distribution of the various verb classes over syntactic patterns may affect the acquisition of the meaning of MSVs by association. In this study we present a novel computational model to learn verb classes, which allows us to analyze the association of mental verbs to their meaning over a variety of syntactic patterns. Our results point to an important role of the full syntactic preferences of MSVs on top of their occurrences with sentential complements.
AB - The acquisition of Mental State Verbs (MSVs) has been extensively studied in respect to their common occurrence with sentential complement syntax. However, MSVs also occur in a variety of other syntactic structures. Moreover, other verb classes frequently occur with sentential complements, e.g., Communication and Perception verbs. The similarity in distribution of the various verb classes over syntactic patterns may affect the acquisition of the meaning of MSVs by association. In this study we present a novel computational model to learn verb classes, which allows us to analyze the association of mental verbs to their meaning over a variety of syntactic patterns. Our results point to an important role of the full syntactic preferences of MSVs on top of their occurrences with sentential complements.
UR - https://www.scopus.com/pages/publications/85139230463
M3 - Conference contribution
AN - SCOPUS:85139230463
T3 - Proceedings of the 36th Annual Meeting of the Cognitive Science Society, CogSci 2014
SP - 1886
EP - 1891
BT - Proceedings of the 36th Annual Meeting of the Cognitive Science Society, CogSci 2014 co-located with the 28th AAAI Conference on Artificial Intelligence, AAAI 2014
PB - The Cognitive Science Society
Y2 - 23 July 2014 through 26 July 2014
ER -