Learning Attitudes and Attributes from Multi-Aspect Reviews

15 October 2012

Dan Jurafsky

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

36 / 36 papers shown

Title
Adversarial Cooperative Rationalization: The Risk of Spurious Correlations in Even Clean Datasets W. Liu Zhongyu Niu Lang Gao Zhiying Deng Jun Wang H. Wang Ruixuan Li 131 1 0 04 May 2025
Criteria-Aware Graph Filtering: Extremely Fast Yet Accurate Multi-Criteria Recommendation Jin-Duk Park Jaemin Yoo Won-Yong Shin 71 1 0 13 Feb 2025
Multi-level Supervised Contrastive Learning Naghmeh Ghanooni Barbod Pajoum Harshit Rawal Sophie Fellenz Vo Nguyen Le Duy Marius Kloft 86 0 0 04 Feb 2025
Enhancing the Rationale-Input Alignment for Self-explaining Rationalization Wei Liu Haozhao Wang Jun Wang Zhiying Deng Yuankai Zhang Chengwei Wang Ruixuan Li 32 9 0 07 Dec 2023
A Call for Standardization and Validation of Text Style Transfer Evaluation Phil Ostheimer M. Nagda Marius Kloft Sophie Fellenz 39 14 0 01 Jun 2023
Decoupled Rationalization with Asymmetric Learning Rates: A Flexible Lipschitz Restraint Wei Liu Jun Wang Haozhao Wang Rui Li Yang Qiu Yuankai Zhang Jie Han Yixiong Zou 39 12 0 23 May 2023
Explainable Recommender with Geometric Information Bottleneck Hanqi Yan Lin Gui Menghan Wang Kun Zhang Yulan He 13 2 0 09 May 2023
MGR: Multi-generator Based Rationalization Wei Liu Haozhao Wang Jun Wang Rui Li Xinyang Li Yuankai Zhang Yang Qiu 19 7 0 08 May 2023
SIMPLE: A Gradient Estimator for $k$ -Subset Sampling Kareem Ahmed Zhe Zeng Mathias Niepert Guy Van den Broeck BDL 40 24 0 04 Oct 2022
Interlock-Free Multi-Aspect Rationalization for Text Classification Shuang Li Diego Antognini Boi Faltings 17 0 0 13 May 2022
A Meta-Analysis of the Utility of Explainable Artificial Intelligence in Human-AI Decision-Making Max Schemmer Patrick Hemmer Maximilian Nitsche Niklas Kühl Michael Vossing 19 55 0 10 May 2022
Learning to Split for Automatic Bias Detection Yujia Bao Regina Barzilay 12 20 0 28 Apr 2022
Can Rationalization Improve Robustness? Howard Chen Jacqueline He Karthik Narasimhan Danqi Chen AAML 16 40 0 25 Apr 2022
Making a (Counterfactual) Difference One Rationale at a Time Michael J. Plyler Michal Green Min Chi 21 11 0 13 Jan 2022
Self-Supervised Bot Play for Conversational Recommendation with Justifications Shuyang Li Bodhisattwa Prasad Majumder Julian McAuley 33 7 0 09 Dec 2021
Understanding Interlocking Dynamics of Cooperative Rationalization Mo Yu Yang Zhang Shiyu Chang Tommi Jaakkola 18 41 0 26 Oct 2021
Solving Aspect Category Sentiment Analysis as a Text Generation Task Jian Liu Zhiyang Teng Leyang Cui Hanmeng Liu Yue Zhang 43 68 0 14 Oct 2021
Productivity, Portability, Performance: Data-Centric Python Yiheng Wang Yao Zhang Yanzhang Wang Yan Wan Jiao Wang Zhongyuan Wu Yuhao Yang Bowen She 52 94 0 01 Jul 2021
Learning Stable Classifiers by Transferring Unstable Features Yujia Bao Shiyu Chang Regina Barzilay OOD 19 8 0 15 Jun 2021
Rationalization through Concepts Diego Antognini Boi Faltings FAtt 18 19 0 11 May 2021
Do Feature Attribution Methods Correctly Attribute Features? Yilun Zhou Serena Booth Marco Tulio Ribeiro J. Shah FAtt XAI 22 132 0 27 Apr 2021
Local Interpretations for Explainable Natural Language Processing: A Survey Siwen Luo Hamish Ivison S. Han Josiah Poon MILM 33 48 0 20 Mar 2021
DynaSent: A Dynamic Benchmark for Sentiment Analysis Christopher Potts Zhengxuan Wu Atticus Geiger Douwe Kiela 230 77 0 30 Dec 2020
Explaining Deep Neural Networks Oana-Maria Camburu XAI FAtt 25 26 0 04 Oct 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 23 577 0 26 Jun 2020
Gradient Estimation with Stochastic Softmax Tricks Max B. Paulus Dami Choi Daniel Tarlow Andreas Krause Chris J. Maddison BDL 34 85 0 15 Jun 2020
HotelRec: a Novel Very Large-Scale Hotel Recommendation Dataset Diego Antognini Boi Faltings DML 9 29 0 17 Feb 2020
Description Based Text Classification with Reinforcement Learning Duo Chai Wei Yu Wu Qinghong Han Fei Wu Jiwei Li VLM 110 66 0 08 Feb 2020
Rethinking Cooperative Rationalization: Introspective Extraction and Complement Control Mo Yu Shiyu Chang Yang Zhang Tommi Jaakkola 11 139 0 29 Oct 2019
A Game Theoretic Approach to Class-wise Selective Rationalization Shiyu Chang Yang Zhang Mo Yu Tommi Jaakkola 15 60 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 13 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 21 59 0 04 Oct 2019
Interpretable Neural Predictions with Differentiable Binary Variables Jasmijn Bastings Wilker Aziz Ivan Titov 20 211 0 20 May 2019
What made you do this? Understanding black-box decisions with sufficient input subsets Brandon Carter Jonas W. Mueller Siddhartha Jain David K Gifford FAtt 35 77 0 09 Oct 2018
Grapevine: A Wine Prediction Algorithm Using Multi-dimensional Clustering Methods Richard Diehl Martinez Geoffrey Angus Rooz Mahdavian 13 0 0 29 Jun 2018
Recursive Neural Conditional Random Fields for Aspect-based Sentiment Analysis Wenya Wang Sinno Jialin Pan Daniel Dahlmeier Xiaokui Xiao 27 362 0 22 Mar 2016