An experimental study measuring human annotator categorization agreement on commonsense sentences
Developing agents capable of commonsense reasoning is an important goal in Artificial Intelligence (AI) research. Because commonsense is broadly defined, a computational theory that can formally categorize the various kinds of commonsense knowledge is critical for enabling fundamental research in th...
Main Authors: | Henrique Santos, Mayank Kejriwal, Alice M. Mulvehill, Gretchen Forbush, Deborah L. McGuinness, Adín Ramírez Rivera |
---|---|
Format: | Article |
Language: | English |
Published: |
Cambridge University Press
2021-01-01
|
Series: | Experimental Results |
Subjects: | |
Online Access: | https://www.cambridge.org/core/product/identifier/S2516712X21000095/type/journal_article |
Similar Items
-
TG-CSR: A human-labeled dataset grounded in nine formal commonsense categories
by: Henrique Santos, et al.
Published: (2023-12-01) -
Semantic Representation Using Sub-Symbolic Knowledge in Commonsense Reasoning
by: Dongsuk Oh, et al.
Published: (2022-09-01) -
Commonsense reasoning : an event calculus based approach /
by: Mueller, Erik T.
Published: (2015) -
Commonsense Spatial Reasoning: an Informational Perspective
by: Stefania Bandini, et al.
Published: (2008-07-01) -
OntoSenticNet : a commonsense ontology for sentiment analysis
by: Dragoni, Mauro, et al.
Published: (2020)