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Learning Attitudes and Attributes from Multi-Aspect Reviews

15 October 2012

Julian McAuley

J. Leskovec

Dan Jurafsky

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Papers citing "Learning Attitudes and Attributes from Multi-Aspect Reviews"

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Title
Making a (Counterfactual) Difference One Rationale at a Time Michael J. Plyler Michal Green Min Chi 94 12 0 13 Jan 2022
On Sampling Collaborative Filtering Datasets Noveen Sachdeva Carole-Jean Wu Julian McAuley 78 16 0 13 Jan 2022
Self-Supervised Bot Play for Conversational Recommendation with Justifications Shuyang Li Bodhisattwa Prasad Majumder Julian McAuley 86 7 0 09 Dec 2021
Comparative Explanations of Recommendations Aobo Yang Nan Wang Renqin Cai Hongbo Deng Hongning Wang 124 12 0 01 Nov 2021
Leveraging Recursive Gumbel-Max Trick for Approximate Inference in Combinatorial Spaces Kirill Struminsky Artyom Gadetsky D. Rakitin Danil Karpushkin Dmitry Vetrov BDL 108 9 0 28 Oct 2021
Understanding Interlocking Dynamics of Cooperative Rationalization Mo Yu Yang Zhang Shiyu Chang Tommi Jaakkola 87 44 0 26 Oct 2021
Solving Aspect Category Sentiment Analysis as a Text Generation Task Jian Liu Zhiyang Teng Leyang Cui Hanmeng Liu Yue Zhang 128 72 0 14 Oct 2021
A Comprehensive Overview of Recommender System and Sentiment Analysis S. Al-Ghuribi S. Noah 27 14 0 18 Sep 2021
Efficient Attribute Injection for Pretrained Language Models Reinald Kim Amplayo Kang Min Yoo Sang-Woo Lee 43 0 0 16 Sep 2021
SPECTRA: Sparse Structured Text Rationalization Nuno M. Guerreiro André F. T. Martins 69 27 0 09 Sep 2021
Shared Interest: Measuring Human-AI Alignment to Identify Recurring Patterns in Model Behavior Angie Boggust Benjamin Hoover Arvindmani Satyanarayan Hendrik Strobelt 73 52 0 20 Jul 2021
CatVRNN: Generating Category Texts via Multi-task Learning Pengsen Cheng Jinqiao Dai Jiayong Liu GAN 30 3 0 12 Jul 2021
Productivity, Portability, Performance: Data-Centric Python Yiheng Wang Yao Zhang Yanzhang Wang Yan Wan Jiao Wang Zhongyuan Wu Yuhao Yang Bowen She 163 101 0 01 Jul 2021
Learning Stable Classifiers by Transferring Unstable Features Yujia Bao Shiyu Chang Regina Barzilay OOD 82 8 0 15 Jun 2021
Implicit MLE: Backpropagating Through Discrete Exponential Family Distributions Mathias Niepert Pasquale Minervini Luca Franceschi 84 87 0 03 Jun 2021
Distribution Matching for Rationalization Yongfeng Huang Yujun Chen Yulun Du Zhilin Yang OOD 65 18 0 01 Jun 2021
Predict then Interpolate: A Simple Algorithm to Learn Stable Classifiers Yujia Bao Shiyu Chang Regina Barzilay 74 21 0 26 May 2021
Rationalization through Concepts Diego Antognini Boi Faltings FAtt 124 22 0 11 May 2021
Fast Multi-Step Critiquing for VAE-based Recommender Systems Diego Antognini Boi Faltings LRM 100 16 0 03 May 2021
Do Feature Attribution Methods Correctly Attribute Features? Yilun Zhou Serena Booth Marco Tulio Ribeiro J. Shah FAtt XAI 112 136 0 27 Apr 2021
Local Interpretations for Explainable Natural Language Processing: A Survey Siwen Luo Hamish Ivison S. Han Josiah Poon MILM 120 50 0 20 Mar 2021
Teach Me to Explain: A Review of Datasets for Explainable Natural Language Processing Sarah Wiegreffe Ana Marasović XAI 80 146 0 24 Feb 2021
Explanation as a Defense of Recommendation Aobo Yang Nan Wang Hongbo Deng Hongning Wang AAML 62 23 0 24 Jan 2021
DynaSent: A Dynamic Benchmark for Sentiment Analysis Christopher Potts Zhengxuan Wu Atticus Geiger Douwe Kiela 296 80 0 30 Dec 2020
Learning from the Best: Rationalizing Prediction by Adversarial Information Calibration Lei Sha Oana-Maria Camburu Thomas Lukasiewicz 196 38 0 16 Dec 2020
Multi-Aspect Sentiment Analysis with Latent Sentiment-Aspect Attribution Yifan Zhang Fan Yang Marjan Hosseinia Arjun Mukherjee 26 2 0 15 Dec 2020
Measuring Association Between Labels and Free-Text Rationales Sarah Wiegreffe Ana Marasović Noah A. Smith 335 182 0 24 Oct 2020
Explaining Deep Neural Networks Oana-Maria Camburu XAI FAtt 108 26 0 04 Oct 2020
The Struggles of Feature-Based Explanations: Shapley Values vs. Minimal Sufficient Subsets Oana-Maria Camburu Eleonora Giunchiglia Jakob N. Foerster Thomas Lukasiewicz Phil Blunsom FAtt 80 23 0 23 Sep 2020
An Interpretable and Uncertainty Aware Multi-Task Framework for Multi-Aspect Sentiment Analysis Tian Shi Ping Wang Chandan K. Reddy 19 0 0 18 Sep 2020
Simple Unsupervised Similarity-Based Aspect Extraction Danny Suarez Vargas L. Pessutto V. Moreira CoGe 10 6 0 25 Aug 2020
A Variational Approach to Unsupervised Sentiment Analysis Huiping Zhuang Wenxuan Zhou Xin Liu Zizheng Lin Yangqin Song Michael D Kuo W. H. Chiu SSL DRL 24 3 0 21 Aug 2020
Scaling Symbolic Methods using Gradients for Neural Model Explanation Subham S. Sahoo Subhashini Venugopalan Li Li Rishabh Singh Patrick F. Riley FAtt 93 8 0 29 Jun 2020
Does the Whole Exceed its Parts? The Effect of AI Explanations on Complementary Team Performance Gagan Bansal Tongshuang Wu Joyce Zhou Raymond Fok Besmira Nushi Ece Kamar Marco Tulio Ribeiro Daniel S. Weld 125 607 0 26 Jun 2020
Gradient Estimation with Stochastic Softmax Tricks Max B. Paulus Dami Choi Daniel Tarlow Andreas Krause Chris J. Maddison BDL 101 88 0 15 Jun 2020
Directional Multivariate Ranking Nan Wang Hongning Wang 29 2 0 09 Jun 2020
Aligning Faithful Interpretations with their Social Attribution Alon Jacovi Yoav Goldberg 75 106 0 01 Jun 2020
How Useful are Reviews for Recommendation? A Critical Review and Potential Improvements Noveen Sachdeva Julian McAuley 79 60 0 25 May 2020
An Information Bottleneck Approach for Controlling Conciseness in Rationale Extraction Bhargavi Paranjape Mandar Joshi John Thickstun Hannaneh Hajishirzi Luke Zettlemoyer 63 101 0 01 May 2020
Inferring Network Structure From Data Ivan Brugere T. Berger-Wolf 46 1 0 04 Apr 2020
Semantic Image Search for Robotic Applications Tomas Kulvicius Irene Markelic M. Tamosiunaite Florentin Wörgötter 26 2 0 02 Apr 2020
Invariant Rationalization Shiyu Chang Yang Zhang Mo Yu Tommi Jaakkola 244 207 0 22 Mar 2020
HotelRec: a Novel Very Large-Scale Hotel Recommendation Dataset Diego Antognini Boi Faltings DML 50 29 0 17 Feb 2020
Description Based Text Classification with Reinforcement Learning Duo Chai Wei Wu Qinghong Han Leilei Gan Jiwei Li VLM 181 68 0 08 Feb 2020
Practical Compositional Fairness: Understanding Fairness in Multi-Component Recommender Systems Xuezhi Wang Nithum Thain Anu Sinha Flavien Prost Ed H. Chi Jilin Chen Alex Beutel FaML CoGe 27 1 0 05 Nov 2019
Rethinking Cooperative Rationalization: Introspective Extraction and Complement Control Mo Yu Shiyu Chang Yang Zhang Tommi Jaakkola 138 146 0 29 Oct 2019
A Game Theoretic Approach to Class-wise Selective Rationalization Shiyu Chang Yang Zhang Mo Yu Tommi Jaakkola 61 62 0 28 Oct 2019
Human-Like Decision Making: Document-level Aspect Sentiment Classification via Hierarchical Reinforcement Learning Jingjing Wang Changlong Sun Shoushan Li Jiancheng Wang Luo Si Min Zhang Xiaozhong Liu Guodong Zhou 70 22 0 21 Oct 2019
Can I Trust the Explainer? Verifying Post-hoc Explanatory Methods Oana-Maria Camburu Eleonora Giunchiglia Jakob N. Foerster Thomas Lukasiewicz Phil Blunsom FAtt AAML 115 61 0 04 Oct 2019
Multi-Dimensional Explanation of Target Variables from Documents Diego Antognini C. Musat Boi Faltings 68 2 0 25 Sep 2019