Publications

(2023). PEERRec: An AI-based approach to automatically generate recommendations and predict decisions in peer review. International Journal on Digital Libraries, Springer, 2023.

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(2023). PolitePEER: does peer review hurt? A dataset to gauge politeness intensity in the peer reviews. Language Resources and Evaluation, Springer, 2023..

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(2022). A Method for Automatically Estimating the Informativeness of Peer Reviews. Proceedings of the 19th International Conference on Natural Language Processing (ICON).

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(2022). BetterPR: A Dataset for Estimating the Constructiveness of Peer Review Comments. International conference on theory and practice of digital libraries (Springer International Publishing).

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(2022). Can a Machine Generate a Meta-Review? How Far Are We?. International Conference on Text, Speech, and Dialogue (Springer International Publishing).

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(2022). How confident was your reviewer? estimating reviewer confidence from peer review texts. International workshop on document analysis systems (Springer International Publishing).

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(2022). Peer review analyze: A novel benchmark resource for computational analysis of peer reviews. Journals Plos.org.

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(2021). PEERAssist: leveraging on paper-review interactions to predict peer review decisions. 3rd International Conference on Asia-Pacific Digital Libraries, ICADL 2021, Virtual Event, December 1–3, 2021, Proceedings 23, pages 421–435. Springer, 2021..

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(2021). Sharing is caring! joint multitask learning helps aspect-category extraction and sentiment detection in scientific peer reviews. 2021 ACM/IEEE Joint Conference on Digital Libraries (JCDL).

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