TY - GEN
T1 - SenticNet 6
T2 - 29th ACM International Conference on Information and Knowledge Management, CIKM 2020
AU - Cambria, Erik
AU - Li, Yang
AU - Xing, Frank Z.
AU - Poria, Soujanya
AU - Kwok, Kenneth
N1 - Publisher Copyright:
© 2020 ACM.
PY - 2020/10/19
Y1 - 2020/10/19
N2 - Deep learning has unlocked new paths towards the emulation of the peculiarly-human capability of learning from examples. While this kind of bottom-up learning works well for tasks such as image classification or object detection, it is not as effective when it comes to natural language processing. Communication is much more than learning a sequence of letters and words: it requires a basic understanding of the world and social norms, cultural awareness, commonsense knowledge, etc.; all things that we mostly learn in a top-down manner. In this work, we integrate top-down and bottom-up learning via an ensemble of symbolic and subsymbolic AI tools, which we apply to the interesting problem of polarity detection from text. In particular, we integrate logical reasoning within deep learning architectures to build a new version of SenticNet, a commonsense knowledge base for sentiment analysis.
AB - Deep learning has unlocked new paths towards the emulation of the peculiarly-human capability of learning from examples. While this kind of bottom-up learning works well for tasks such as image classification or object detection, it is not as effective when it comes to natural language processing. Communication is much more than learning a sequence of letters and words: it requires a basic understanding of the world and social norms, cultural awareness, commonsense knowledge, etc.; all things that we mostly learn in a top-down manner. In this work, we integrate top-down and bottom-up learning via an ensemble of symbolic and subsymbolic AI tools, which we apply to the interesting problem of polarity detection from text. In particular, we integrate logical reasoning within deep learning architectures to build a new version of SenticNet, a commonsense knowledge base for sentiment analysis.
KW - knowledge representation and reasoning
KW - natural language processing
KW - sentiment analysis
UR - http://www.scopus.com/inward/record.url?scp=85095720560&partnerID=8YFLogxK
U2 - 10.1145/3340531.3412003
DO - 10.1145/3340531.3412003
M3 - 会议稿件
AN - SCOPUS:85095720560
T3 - International Conference on Information and Knowledge Management, Proceedings
SP - 105
EP - 114
BT - CIKM 2020 - Proceedings of the 29th ACM International Conference on Information and Knowledge Management
PB - Association for Computing Machinery
Y2 - 19 October 2020 through 23 October 2020
ER -