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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
Adversarial Cooperative Rationalization: The Risk of Spurious Correlations in Even Clean Datasets Wen Liu Zhongyu Niu Lang Gao Zhiying Deng Jun Wang Haobo Wang Ruixuan Li 524 1 0 04 May 2025
Breaking Free from MMI: A New Frontier in Rationalization by Probing Input Utilization Wen Liu Zhiying Deng Zhongyu Niu Jun Wang Yining Qi Zhigang Zeng Ruixuan Li 117 4 0 08 Mar 2025
A Multifacet Hierarchical Sentiment-Topic Model with Application to Multi-Brand Online Review Analysis Qiao Liang Xinwei Deng 105 1 0 26 Feb 2025
Iterative Counterfactual Data Augmentation Mitchell Plyler Min Chi 159 0 0 25 Feb 2025
Criteria-Aware Graph Filtering: Extremely Fast Yet Accurate Multi-Criteria Recommendation Jin-Duk Park Jaemin Yoo Won-Yong Shin 134 1 0 13 Feb 2025
Multi-level Supervised Contrastive Learning Naghmeh Ghanooni Barbod Pajoum Harshit Rawal Sophie Fellenz Vo Nguyen Le Duy Marius Kloft 209 0 0 04 Feb 2025
Boosting Explainability through Selective Rationalization in Pre-trained Language Models Libing Yuan Shuaibo Hu Kui Yu Le Wu LRM 103 0 0 03 Jan 2025
Regulation of Language Models With Interpretability Will Likely Result In A Performance Trade-Off Eoin M. Kenny Julie A. Shah 142 0 0 12 Dec 2024
Is the MMI Criterion Necessary for Interpretability? Degenerating Non-causal Features to Plain Noise for Self-Rationalization Wei Liu Zhiying Deng Zhongyu Niu Jun Wang Haozhao Wang YuanKai Zhang Ruixuan Li 113 7 0 08 Oct 2024
MARE: Multi-Aspect Rationale Extractor on Unsupervised Rationale Extraction Han Jiang Junwen Duan Zhe Qu Jianxin Wang 72 1 0 04 Oct 2024
Scalable Cross-Entropy Loss for Sequential Recommendations with Large Item Catalogs Gleb Mezentsev Danil I. Gusak Ivan Oseledets Evgeny Frolov 70 3 0 27 Sep 2024
Autoregressive Generation Strategies for Top-K Sequential Recommendations Anna Volodkevich Danil Gusak Anton Klenitskiy Alexey Vasilev 31 0 0 26 Sep 2024
Adversarial Attack for Explanation Robustness of Rationalization Models Yuankai Zhang Lingxiao Kong Haozhao Wang Ruixuan Li Jun Wang Yuhua Li Wei Liu AAML 96 1 0 20 Aug 2024
RECE: Reduced Cross-Entropy Loss for Large-Catalogue Sequential Recommenders Danil I. Gusak Gleb Mezentsev Ivan Oseledets Evgeny Frolov 81 3 0 05 Aug 2024
Sparse and Structured Hopfield Networks Saul Santos Vlad Niculae Daniel McNamee Andre F. T. Martins 63 6 0 21 Feb 2024
From Variability to Stability: Advancing RecSys Benchmarking Practices Valeriy Shevchenko Nikita Belousov Alexey Vasilev Vladimir Zholobov Artyom Sosedka Natalia Semenova Anna Volodkevich Andrey Savchenko Alexey Zaytsev 47 7 0 15 Feb 2024
Learning Unsupervised Semantic Document Representation for Fine-grained Aspect-based Sentiment Analysis Hao-Ming Fu Pu-Jen Cheng 108 5 0 11 Jan 2024
Explain To Decide: A Human-Centric Review on the Role of Explainable Artificial Intelligence in AI-assisted Decision Making Milad Rogha 68 0 0 11 Dec 2023
Enhancing the Rationale-Input Alignment for Self-explaining Rationalization Wei Liu Yining Qi Jun Wang Zhiying Deng Yuankai Zhang Chengwei Wang Ruixuan Li 73 11 0 07 Dec 2023
You Only Forward Once: Prediction and Rationalization in A Single Forward Pass Han Jiang Junwen Duan Zhe Qu Jianxin Wang 90 2 0 04 Nov 2023
Preference Elicitation with Soft Attributes in Interactive Recommendation Erdem Biyik Fan Yao Yinlam Chow Alex Haig Chih-Wei Hsu Mohammad Ghavamzadeh Craig Boutilier 122 4 0 22 Oct 2023
D-Separation for Causal Self-Explanation Wei Liu Jun Wang Yining Qi Rui Li Zhiying Deng YuanKai Zhang Yang Qiu 154 18 0 23 Sep 2023
Towards Trustworthy Explanation: On Causal Rationalization Wenbo Zhang Tong Wu Yunlong Wang Yong Cai Hengrui Cai CML 124 19 0 25 Jun 2023
A Call for Standardization and Validation of Text Style Transfer Evaluation Phil Ostheimer Mayank Nagda Marius Kloft Sophie Fellenz 201 15 0 01 Jun 2023
Criteria Tell You More than Ratings: Criteria Preference-Aware Light Graph Convolution for Effective Multi-Criteria Recommendation Jin-Duk Park Siqing Li Xin Cao Won-Yong Shin 66 7 0 30 May 2023
Unsupervised Selective Rationalization with Noise Injection Adam Storek Melanie Subbiah Kathleen McKeown 56 3 0 27 May 2023
Decoupled Rationalization with Asymmetric Learning Rates: A Flexible Lipschitz Restraint Wei Liu Jun Wang Yining Qi Rui Li Yang Qiu Yuankai Zhang Jie Han Yixiong Zou 97 14 0 23 May 2023
Consumer-side Fairness in Recommender Systems: A Systematic Survey of Methods and Evaluation Bjørnar Vassøy H. Langseth FaML 56 6 0 16 May 2023
COCKATIEL: COntinuous Concept ranKed ATtribution with Interpretable ELements for explaining neural net classifiers on NLP tasks Fanny Jourdan Agustin Picard Thomas Fel Laurent Risser Jean-Michel Loubes Nicholas M. Asher 50 8 0 11 May 2023
Explainable Recommender with Geometric Information Bottleneck Hanqi Yan Lin Gui Menghan Wang Kun Zhang Yulan He 54 2 0 09 May 2023
MGR: Multi-generator Based Rationalization Wei Liu Yining Qi Jun Wang Rui Li Xinyang Li Yuankai Zhang Yang Qiu 89 9 0 08 May 2023
Graph2topic: an opensource topic modeling framework based on sentence embedding and community detection Leihan Zhang Jiapeng Liu Qiang Yan 63 1 0 13 Apr 2023
Deep Transfer Tensor Factorization for Multi-View Learning Penghao Jiang Ke Xin Chunxi Li 49 0 0 13 Feb 2023
NeuKron: Constant-Size Lossy Compression of Sparse Reorderable Matrices and Tensors Taehyung Kwon Jihoon Ko Jinhong Jung Kijung Shin 94 8 0 09 Feb 2023
Rationalization for Explainable NLP: A Survey Sai Gurrapu Ajay Kulkarni Lifu Huang Ismini Lourentzou Laura J. Freeman Feras A. Batarseh 110 35 0 21 Jan 2023
Rationalizing Predictions by Adversarial Information Calibration Lei Sha Oana-Maria Camburu Thomas Lukasiewicz 59 7 0 15 Jan 2023
RecXplainer: Amortized Attribute-based Personalized Explanations for Recommender Systems Sahil Verma Chirag Shah John P. Dickerson Anu Beniwal Narayanan Sadagopan Arjun Seshadri 29 2 0 27 Nov 2022
SIMPLE: A Gradient Estimator for $k$ -Subset Sampling Kareem Ahmed Zhe Zeng Mathias Niepert Guy Van den Broeck BDL 136 27 0 04 Oct 2022
On Faithfulness and Coherence of Language Explanations for Recommendation Systems Zhouhang Xie Julian McAuley Bodhisattwa Prasad Majumder LRM 72 1 0 12 Sep 2022
Adaptive Perturbation-Based Gradient Estimation for Discrete Latent Variable Models Pasquale Minervini Luca Franceschi Mathias Niepert 101 11 0 11 Sep 2022
Effective and Interpretable Information Aggregation with Capacity Networks Markus Zopf 123 0 0 25 Jul 2022
In the Eye of the Beholder: Robust Prediction with Causal User Modeling Amir Feder G. Horowitz Yoav Wald Roi Reichart Nir Rosenfeld OOD 84 7 0 01 Jun 2022
Backpropagation through Combinatorial Algorithms: Identity with Projection Works Subham S. Sahoo Anselm Paulus Marin Vlastelica Vít Musil Volodymyr Kuleshov Georg Martius 98 20 0 30 May 2022
Interlock-Free Multi-Aspect Rationalization for Text Classification Shuang Li Diego Antognini Boi Faltings 57 1 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 73 59 0 10 May 2022
Learning to Split for Automatic Bias Detection Yujia Bao Regina Barzilay 67 21 0 28 Apr 2022
Can Rationalization Improve Robustness? Howard Chen Jacqueline He Karthik Narasimhan Danqi Chen AAML 101 42 0 25 Apr 2022
Specialized Document Embeddings for Aspect-based Similarity of Research Papers Malte Ostendorff Till Blume Terry Ruas Bela Gipp Georg Rehm 74 16 0 28 Mar 2022
Hierarchical Interpretation of Neural Text Classification Hanqi Yan Lin Gui Yulan He 105 14 0 20 Feb 2022
Graph-based Extractive Explainer for Recommendations Peifeng Wang Renqin Cai Hongning Wang 81 14 0 20 Feb 2022