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We introduce InstructABSA, an instruction learning paradigm for Aspect-Based Sentiment Analysis (ABSA) subtasks.
Sentiment analysis and opinion mining
Lei Zhang and B. Liu. 2012 · 2012
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SemEval-2014 task 4: Aspect based sentiment analysis
Maria Pontiki, Dimitris Galanis, John Pavlopoulos, Harris Papageorgiou, Ion Androutsopoulos, and Suresh Manandhar. 2014 · 2014
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Semeval-2015 task 12: Aspect based sentiment analysis
Maria Pontiki, Dimitris Galanis, Haris Papageorgiou, Suresh Manandhar, and Ion Androutsopoulos. 2015 · 2015
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Semeval-2016 task 5: Aspect based sentiment analysis
Maria Pontiki, Dimitris Galanis, Haris Papageorgiou, Suresh Manandhar, Ion Androutsopoulos, Núria Bel, and Gülşen Eryiğit. 2016 · 2016
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Target-oriented opinion words extraction with target-fused neural sequence labeling
Zhifang Fan, Zhen Wu, Xin-Yu Dai, Shujian Huang, and Jiajun Chen. 2019 · 2019
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GRACE: Gradient harmonized and cascaded labeling for aspect-based sentiment analysis
Huaishao Luo, Lei Ji, Tianrui Li, Daxin Jiang, and Nan Duan. 2020 · 2020
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Knowing what, how and why: A near complete solution for aspect-based sentiment analysis
Haiyun Peng, Lu Xu, Lidong Bing, Fei Huang, Wei Lu, and Luo Si. 2020 · 2020
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Introducing syntactic structures into target opinion word extraction with deep learning
Amir Pouran Ben Veyseh, Nasim Nouri, Franck Dernoncourt, Dejing Dou, and Thien Huu Nguyen. 2020 · 2020
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Minimize exposure bias of Seq2Seq models in joint entity and relation extraction
Ranran Haoran Zhang, Qianying Liu, Aysa Xuemo Fan, Heng Ji, Daojian Zeng, Fei Cheng, Daisuke Kawahara, and Sadao Kurohashi. 2020 · 2020
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Bidirectional machine reading comprehension for aspect sentiment triplet extraction
Shaowei Chen, Yu Wang, Jie Liu, and Yuelin Wang. 2021 · 2021
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Context-ner: Contextual phrase generation at scale
Himanshu Gupta, Shreyas Verma, Tarun Kumar, Swaroop Mishra, Tamanna Agrawal, Amogh Badugu, and Himanshu Sharad Bhatt. 2021 · 2021
Cited alongside, same era.
Lora: Low-rank adaptation of large language models
Edward J Hu, Yelong Shen, Phillip Wallis, Zeyuan Allen-Zhu, Yuanzhi Li, Shean Wang, Lu Wang, and Weizhu Chen. 2021 · 2021
Cited alongside, same era.
A joint training dual-mrc framework for aspect based sentiment analysis
Yue Mao, Yi Shen, Chao Yu, and Longjun Cai. 2021 · 2021
Cited alongside, same era.
Aspect-based sentiment analysis using bert with disentangled attention
Ricardo Marcondes Marcacini and Emanuel Silva. 2021 · 2021
Cited alongside, same era.
A unified generative framework for aspect-based sentiment analysis
Hang Yan, Junqi Dai, Tuo Ji, Xipeng Qiu, and Zheng Zhang. 2021 · 2021
Cited alongside, same era.
Biotabqa: Instruction learning for biomedical table question answering
Man Luo, Sharad Saxena, Swaroop Mishra, Mihir Parmar, and Chitta Baral. 2022 · 2022
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Seq2Path: Generating sentiment tuples as paths of a tree
Yue Mao, Yi Shen, Jingchao Yang, Xiaoying Zhu, and Longjun Cai. 2022 · 2022
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Reframing instructional prompts to GPTk’s language
Swaroop Mishra, Daniel Khashabi, Chitta Baral, Yejin Choi, and Hannaneh Hajishirzi. 2022a · 2022
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Help me think: A simple prompting strategy for non-experts to create customized content with models
Swaroop Mishra and Elnaz Nouri. 2022 · 2022
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In-BoXBART: Get instructions into biomedical multi-task learning
Mihir Parmar, Swaroop Mishra, Mirali Purohit, Man Luo, Murad Mohammad, and Chitta Baral. 2022 · 2022
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Improving implicit sentiment learning via local sentiment aggregation
Heng Yang and Ke Li. 2021 · 2021
Cited alongside, same era.
Towards generative aspect-based sentiment analysis
Wenxuan Zhang, Xin Li, Yang Deng, Lidong Bing, and Wai Lam. 2021 · 2021
Cited alongside, same era.
" john is 50 years old, can his son be 65?" evaluating nlp models’ understanding of feasibility
Himanshu Gupta, Neeraj Varshney, Swaroop Mishra, Kuntal Kumar Pal, Saurabh Arjun Sawant, Kevin Scaria, Siddharth Goyal, and Chitta Baral. 2022 · 2022
Cited alongside, same era.
A generative language model for few-shot aspect-based sentiment analysis
Ehsan Hosseini-Asl, Wenhao Liu, and Caiming Xiong. 2022 · 2022
Cited alongside, same era.
Learn to explain: Multimodal reasoning via thought chains for science question answering
Pan Lu, Swaroop Mishra, Tony Xia, Liang Qiu, Kai-Wei Chang, Song-Chun Zhu, Oyvind Tafjord, Peter Clark, and Ashwin Kalyan. 2022 · 2022
Cited alongside, same era.
Cross-task generalization via natural language crowdsourcing instructions
Swaroop Mishra, Daniel Khashabi, Chitta Baral, and Hannaneh Hajishirzi. 2022b
Cited in the paper.
Self-instruct: Aligning language model with self generated instructions
Yizhong Wang, Yeganeh Kordi, Swaroop Mishra, Alisa Liu, Noah A Smith, Daniel Khashabi, and Hannaneh Hajishirzi. 2022a
Cited in the paper.
Super-NaturalInstructions: Generalization via declarative instructions on 1600+ NLP tasks
Yizhong Wang, Swaroop Mishra, Pegah Alipoormolabashi, Yeganeh Kordi, Amirreza Mirzaei, Atharva Naik, Arjun Ashok, Arut Selvan Dhanasekaran, Anjana Arunkumar, David Stap, Eshaan Pathak, Giannis Karamanolakis, Haizhi Lai, Ishan Purohit, Ishani Mondal, Jacob Anderson, Kirby Kuznia, Krima Doshi, Kuntal Kumar Pal, Maitreya Patel, Mehrad Moradshahi, Mihir Parmar, Mirali Purohit, Neeraj Varshney, Phani Rohitha Kaza, Pulkit Verma, Ravsehaj Singh Puri, Rushang Karia, Savan Doshi, Shailaja Keyur Sampat, Siddhartha Mishra, Sujan Reddy A, Sumanta Patro, Tanay Dixit, and Xudong Shen. 2022b · 2022
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Finetuned language models are zero-shot learners
Jason Wei, Maarten Bosma, Vincent Zhao, Kelvin Guu, Adams Wei Yu, Brian Lester, Nan Du, Andrew M. Dai, and Quoc V Le. 2022 · 2022
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Instruction tuned models are quick learners
Himanshu Gupta, Saurabh Arjun Sawant, Swaroop Mishra, Mutsumi Nakamura, Arindam Mitra, Santosh Mashetty, and Chitta Baral. 2023 · 2023
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Do models really learn to follow instructions? an empirical study of instruction tuning
Po-Nien Kung and Nanyun Peng. 2023 · 2023
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Instruction tuning for few-shot aspect-based sentiment analysis
Siddharth Varia, Shuai Wang, Kishaloy Halder, Robert Vacareanu, Miguel Ballesteros, Yassine Benajiba, Neha Anna John, Rishita Anubhai, Smaranda Muresan, and Dan Roth. 2023 · 2023
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