How to review a scientific paper

Tandon, Rajiv

doi:10.1016/j.ajp.2014.08.007

Cited by 18 publications

(10 citation statements)

References 20 publications

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“…Scientific Journals are a medium of communication between authors and readers. The editorial process serves an intermediary function with the objectives of facilitating transmission of valid, useful knowledge while screening out poor quality or irrelevant material (Tandon, 2014). In an international healthcare crisis such as the COVID-19 pandemic, real-time dissemination of accurate information becomes critical in order to enable healthcare and policy decision-making in a situation of urgency with substantial uncertainty.…”

Section: The Editor's Challengementioning

confidence: 99%

COVID-19 and mental health: Preserving humanity, maintaining sanity, and promoting health

Tandon

2020

Asian Journal of Psychiatry

Self Cite

200

174

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Section: The Editor's Challengementioning

confidence: 99%

COVID-19 and mental health: Preserving humanity, maintaining sanity, and promoting health

Tandon

2020

Asian Journal of Psychiatry

Self Cite

200

174

View full text Add to dashboard Cite

“…It need not be this way. Reviewing is a learnable skill (Basford, 1990;Paice, 2001;Benos et al, 2003;Koike et al, 2009;Shukla, 2010;Tandon, 2014;Spyns and Vidal, 2015;Stahel and Moore, 2016;Kohnen, 2017;McFadden et al, 2017;Hill, 2018), and you will learn it here via a combination of lectures and a significant amount of hands-on practice.…”

Section: Tutorial Contentmentioning

confidence: 99%

Reviewing Natural Language Processing Research

Cohen¹,

Fort²,

Mieskes³

et al. 2020

Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics: Tutorial Abstracts

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The reviewing procedure has been identified as one of the major issues in the current situation of the NLP field. While it is implicitly assumed that junior researcher learn reviewing during their PhD project, this might not always be the case. Additionally, with the growing NLP community and the efforts in the context of widening the NLP community, researchers joining the field might not have the opportunity to practise reviewing. This tutorial fills in this gap by providing an opportunity to learn the basics of reviewing. Also more experienced researchers might find this tutorial interesting to revise their reviewing procedure.

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“…It need not be this way. There is good reason to think that reviewing is a learnable (and teachable) skill (Basford, 1990;Paice, 2001;Benos et al, 2003;Koike et al, 2009;Shukla, 2010;Tandon, 2014;Spyns and Vidal, 2015;Stahel and Moore, 2016;Kohnen, 2017;McFadden et al, 2017;Hill, 2018). To address the issues raised above, we propose this tutorial on reviewing natural language processing research, focusing on conference submissions and various review forms used in the NLP community.…”

Section: Tutorial Contentmentioning

confidence: 99%

Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics: Tutorial Abstracts

2020

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While deep learning has transformed the natural language processing (NLP) field and impacted the larger computational linguistics community, the rise of neural networks is stained by their opaque nature: It is challenging to interpret the inner workings of neural network models, and explicate their behavior. Therefore, in the last few years, an increasingly large body of work has been devoted to the analysis and interpretation of neural network models in NLP.This body of work is so far lacking a common framework and methodology. Moreover, approaching the analysis of modern neural networks can be difficult for newcomers to the field. This tutorial aims to fill this gap and introduce the nascent field of interpretability and analysis of neural networks in NLP. This tutorial will cover cutting-edge research in interpretability and analysis of modern neural NLP models. The topic has not been previously covered in *CL tutorials.

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How to review a scientific paper

Cited by 18 publications

References 20 publications

COVID-19 and mental health: Preserving humanity, maintaining sanity, and promoting health

COVID-19 and mental health: Preserving humanity, maintaining sanity, and promoting health

Reviewing Natural Language Processing Research

Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics: Tutorial Abstracts

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