Semantic Representation Using Sub-Symbolic Knowledge in Commonsense Reasoning
The commonsense question and answering (CSQA) system predicts the right answer based on a comprehensive understanding of the question. Previous research has developed models that use QA pairs, the corresponding evidence, or the knowledge graph as an input. Each method executes QA tasks with represen...
Main Authors: | Dongsuk Oh, Jungwoo Lim, Kinam Park, Heuiseok Lim |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2022-09-01
|
Series: | Applied Sciences |
Subjects: | |
Online Access: | https://www.mdpi.com/2076-3417/12/18/9202 |
Similar Items
-
Commonsense Spatial Reasoning: an Informational Perspective
by: Stefania Bandini, et al.
Published: (2008-07-01) -
Retrieval-Augmented Knowledge Graph Reasoning for Commonsense Question Answering
by: Yuchen Sha, et al.
Published: (2023-07-01) -
Considering Commonsense in Solving QA: Reading Comprehension with Semantic Search and Continual Learning
by: Seungwon Jeong, et al.
Published: (2022-04-01) -
Commonsense reasoning : an event calculus based approach /
by: Mueller, Erik T.
Published: (2015) -
An experimental study measuring human annotator categorization agreement on commonsense sentences
by: Henrique Santos, et al.
Published: (2021-01-01)