Interpreting Sentiment Composition with Latent Semantic Tree

Interpreting Sentiment Composition with Latent Semantic Tree

31 August 2023

Yuanzhe Zhang

Jun Zhao

Papers citing "Interpreting Sentiment Composition with Latent Semantic Tree"

10 / 10 papers shown

Title
Interpretation of NLP models through input marginalization Siwon Kim Jihun Yi Eunji Kim Sungroh Yoon MILM FAtt 72 60 0 27 Oct 2020
Sentiment Analysis Based on Deep Learning: A Comparative Study N. C. Dang M. García F. D. L. Prieta 73 491 0 05 Jun 2020
Generating Hierarchical Explanations on Text Classification via Feature Interaction Detection Hanjie Chen Guangtao Zheng Yangfeng Ji FAtt 74 94 0 04 Apr 2020
Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer Colin Raffel Noam M. Shazeer Adam Roberts Katherine Lee Sharan Narang Michael Matena Yanqi Zhou Wei Li Peter J. Liu AIMat 392 20,114 0 23 Oct 2019
Fine-grained Sentiment Analysis with Faithful Attention Ruiqi Zhong Steven Shao Kathleen McKeown 80 49 0 19 Aug 2019
Cooperative Learning of Disjoint Syntax and Semantics Serhii Havrylov Germán Kruszewski Armand Joulin 45 48 0 25 Feb 2019
Learning to Compose Task-Specific Tree Structures Jihun Choi Kang Min Yoo Sang-goo Lee 63 189 0 10 Jul 2017
SGDR: Stochastic Gradient Descent with Warm Restarts I. Loshchilov Frank Hutter ODL 288 8,114 0 13 Aug 2016
"Why Should I Trust You?": Explaining the Predictions of Any Classifier Marco Tulio Ribeiro Sameer Singh Carlos Guestrin FAtt FaML 1.2K 16,931 0 16 Feb 2016
Improved Semantic Representations From Tree-Structured Long Short-Term Memory Networks Kai Sheng Tai R. Socher Christopher D. Manning AIMat 135 3,115 0 28 Feb 2015