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BioNLI: Generating a Biomedical NLI Dataset Using Lexico-semantic Constraints for Adversarial Examples


Oct 26, 2022
Mohaddeseh Bastan, Mihai Surdeanu, Niranjan Balasubramanian

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* Accepted to Findings of EMNLP 2022, Data and evaluation suite available at https://stonybrooknlp.github.io/BioNLI/ 

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SuMe: A Dataset Towards Summarizing Biomedical Mechanisms


May 10, 2022
Mohaddeseh Bastan, Nishant Shankar, Mihai Surdeanu, Niranjan Balasubramanian

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* Accepter at LREC2022 

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A Preordered RNN Layer Boosts Neural Machine Translation in Low Resource Settings


Dec 28, 2021
Mohaddeseh Bastan, Shahram Khadivi

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Author's Sentiment Prediction


Nov 12, 2020
Mohaddeseh Bastan, Mahnaz Koupaee, Youngseo Son, Richard Sicoli, Niranjan Balasubramanian

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* 12 pages, 5 figures, Accepted in COLING2020 

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Modeling Label Semantics for Predicting Emotional Reactions


Jun 28, 2020
Radhika Gaonkar, Heeyoung Kwon, Mohaddeseh Bastan, Niranjan Balasubramanian, Nathanael Chambers

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* 6 pages, 2 figures, published in Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics 

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Neural Machine Translation on Scarce-Resource Condition: A case-study on Persian-English


Jan 07, 2017
Mohaddeseh Bastan, Shahram Khadivi, Mohammad Mehdi Homayounpour

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* 6 pages, Submitted in ICEE 2017 

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