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Peer review is an essential process to determine the quality of papers submitted to scientific conferences or journals.
Publication prejudices: An experimental study of confirmatory bias in the peer review system
M. J. Mahoney · 1977
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On the acceptability of arguments and its fundamental role in nonmonotonic reasoning, logic programming and n-person games
P. M. Dung · 1995
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On bipolarity in argumentation frameworks
L. Amgoud, C. Cayrol, M.-C. Lagasquie-Schiex, and P. Livet · 2008
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Natural Language Processing with Python
S. Bird, E. Klein, and E. Loper · 2009
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Discontinuity-free decision support with quantitative argumentation debates
A. Rago, F. Toni, M. Aurisicchio, and P. Baroni · 2016
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Towards artificial argumentation
K. Atkinson, P. Baroni, M. Giacomin, A. Hunter, H. Prakken, C. Reed, G. Simari, M. Thimm, and S. Villata · 2017
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Typographic layout and first impressions: testing how changes in text layout influence reader’s judgments of documents
D. J.-L. Moys · 2017
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How many properties do we need for gradual argumentation?
P. Baroni, A. Rago, and F. Toni · 2018
Earlier work this paper cites.
A dataset of peer reviews (PeerRead): Collection, insights and NLP applications
D. Kang, W. Ammar, B. Dalvi, M. van Zuylen, S. Kohlmeier, E. Hovy, and R. Schwartz · 2018
Earlier work this paper cites.
Modular semantics and characteristics for bipolar weighted argumentation graphs
T. Mossakowski and F. Neuhaus · 2018
Cited alongside, same era.
Argument mining for understanding peer reviews
X. Hua, M. Nikolov, N. Badugu, and L. Wang · 2019
Cited alongside, same era.
Metagen: An academic meta-review generation system
C. Bhatia, T. Pradhan, and S. Pal · 2020
Cited alongside, same era.
Language models are few-shot learners, 2020
T. B. Brown, B. Mann, N. Ryder, M. Subbiah, J. Kaplan, P. Dhariwal, A. Neelakantan, P. Shyam, G. Sastry, A. Askell, S. Agarwal, A. Herbert-Voss, G. Krueger, T. Henighan, R. Child, A. Ramesh, D. M. Ziegler, J. Wu, C. Winter, C. Hesse, M. Chen, E. Sigler, M. Litwin, S. Gray, B. Chess, J. Clark, C. Berner, S. McCandlish, A. Radford, I. Sutskever, and D. Amodei · 2020
Cited alongside, same era.
Aspect-based sentiment analysis of scientific reviews
S. Chakraborty, P. Goyal, and A. Mukherjee · 2020
Cited alongside, same era.
APCS: Towards argument based pros and cons summarization of peer reviews
S. Kumar, T. Ghosal, and A. Ekbal · 2023
Later among the works it cites.
Moprd: A multidisciplinary open peer review dataset
J. Lin, J. Song, Z. Zhou, Y. Chen, and X. Shi · 2023
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Attention is all you need, 2023
A. Vaswani, N. Shazeer, N. Parmar, J. Uszkoreit, L. Jones, A. N. Gomez, L. Kaiser, and I. Polosukhin · 2023
Later among the works it cites.
Peer review analyze: A novel benchmark resource for computational analysis of peer reviews
T. Ghosal, S. Kumar, P. K. Bharti, and A. Ekbal · 2024
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Peer review analyze: A novel benchmark resource for computational analysis of peer reviews
T. Ghosal, S. Kumar, P. K. Bharti, and A. Ekbal · 2024
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Can large language models perform relation-based argument mining?
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Argument mining driven analysis of peer-reviews
M. Fromm, E. Faerman, M. Berrendorf, S. Bhargava, R. Qi, Y. Zhang, L. Dennert, S. Selle, Y. Mao, and T. Seidl · 2020
Cited alongside, same era.
Multi-task peer-review score prediction
J. Li, A. Sato, K. Shimura, and F. Fukumoto · 2020
Cited alongside, same era.
“statcheck”: Automatically detect statistical reporting inconsistencies to increase reproducibility of meta-analyses
M. B. Nuijten and J. R. Polanin · 2020
Cited alongside, same era.
Interpreting neural networks as quantitative argumentation frameworks
N. Potyka · 2021
Cited alongside, same era.
Peer review analyze: A novel benchmark resource for computational analysis of peer reviews
T. Ghosal, S. Kumar, P. K. Bharti, and A. Ekbal
Cited in the paper.
D. Gorur, A. Rago, and F. Toni · 2024
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A dataset of peer reviews (peerread): Collection, insights and nlp applications
D. Kang, W. Ammar, B. Dalvi, M. van Zuylen, S. Kohlmeier, E. Hovy, and R. Schwartz · 2024
Closest in time.
A dataset of peer reviews (peerread): Collection, insights and nlp applications
D. Kang, W. Ammar, B. Dalvi, M. van Zuylen, S. Kohlmeier, E. Hovy, and R. Schwartz · 2024
Closest in time.
Is LLM a reliable reviewer? a comprehensive evaluation of LLM on automatic paper reviewing tasks
R. Zhou, L. Chen, and K. Yu · 2024
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