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ORCIDMahnaz Koupaee
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2020 – today
- 2023
[j4]Sayontan Ghosh, Mahnaz Koupaee, Isabella Chen, Francis Ferraro, Nathanael Chambers, Niranjan Balasubramanian:
PASTA: A Dataset for Modeling PArticipant STAtes in Narratives. Trans. Assoc. Comput. Linguistics 11: 1283-1300 (2023)- [c8]Mahnaz Koupaee, Greg Durrett, Nathanael Chambers, Niranjan Balasubramanian:
Modeling Complex Event Scenarios via Simple Entity-focused Questions. EACL 2023: 2460-2475 - [c7]Sugam Devare, Mahnaz Koupaee, Gautham Gunapati, Sayontan Ghosh, Sai Vallurupalli, Yash Kumar Lal, Francis Ferraro, Nathanael Chambers, Greg Durrett, Raymond J. Mooney, Katrin Erk, Niranjan Balasubramanian:
SAGEViz: SchemA GEneration and Visualization. EMNLP (Demos) 2023: 328-335 - [i6]Mahnaz Koupaee, Greg Durrett, Nathanael Chambers, Niranjan Balasubramanian:
Modeling Complex Event Scenarios via Simple Entity-focused Questions. CoRR abs/2302.07139 (2023) - 2022
- [i5]Sayontan Ghosh, Mahnaz Koupaee, Isabella Chen, Francis Ferraro, Nathanael Chambers, Niranjan Balasubramanian:
PASTA: A Dataset for Modeling Participant States in Narratives. CoRR abs/2208.00329 (2022) - 2021
- [c6]Mahnaz Koupaee, Greg Durrett, Nathanael Chambers, Niranjan Balasubramanian:
Don't Let Discourse Confine Your Model: Sequence Perturbations for Improved Event Language Models. ACL/IJCNLP (2) 2021: 599-604 - 2020
- [c5]Mohaddeseh Bastan, Mahnaz Koupaee, Youngseo Son, Richard Sicoli, Niranjan Balasubramanian:
Author's Sentiment Prediction. COLING 2020: 604-615 - [c4]Heeyoung Kwon, Mahnaz Koupaee, Pratyush Singh, Gargi Sawhney, Anmol Shukla, Keerthi Kumar Kallur, Nathanael Chambers, Niranjan Balasubramanian:
Modeling Preconditions in Text with a Crowd-sourced Dataset. EMNLP (Findings) 2020: 3818-3828 - [i4]Heeyoung Kwon, Mahnaz Koupaee, Pratyush Singh, Gargi Sawhney, Anmol Shukla, Keerthi Kumar Kallur, Nathanael Chambers, Niranjan Balasubramanian:
Modeling Preconditions in Text with a Crowd-sourced Dataset. CoRR abs/2010.02429 (2020) - [i3]Mohaddeseh Bastan, Mahnaz Koupaee, Youngseo Son, Richard Sicoli, Niranjan Balasubramanian:
Author's Sentiment Prediction. CoRR abs/2011.06128 (2020)
2010 – 2019
- 2019
- [j3]Arezoo Yazdani Seqerloo, Mohammad Javad Amiri, Saeed Parsa
, Mahnaz Koupaee:
Automatic test cases generation from business process models. Requir. Eng. 24(1): 119-132 (2019) - [c3]Mahnaz Koupaee:
Mortality prediction using medical notes: student research abstract. SAC 2019: 778-781 - [c2]Mohammad Javad Amiri, Mahnaz Koupaee, Divyakant Agrawal:
On Similarity of Object-Aware Workflows. SOSE 2019 - 2018
- [c1]Mahnaz Koupaee, Yuanyang Zhang, Tie Bo Wu, Mitchell J. Cohen, Linda R. Petzold:
Identification of Disease States for Trauma Patients using Commonly Available Hospital Data. ICCABS 2018: 1-4 - [i2]Mahnaz Koupaee, William Yang Wang:
WikiHow: A Large Scale Text Summarization Dataset. CoRR abs/1810.09305 (2018) - [i1]Mahnaz Koupaee, William Yang Wang:
Analyzing and Interpreting Convolutional Neural Networks in NLP. CoRR abs/1810.09312 (2018) - 2017
- [j2]Mohammad Javad Amiri, Mahnaz Koupaee:
Data-driven business process similarity. IET Softw. 11(6): 309-318 (2017) - [j1]Mahnaz Koupaee, Mohammad Reza Kangavari, Mohammad Javad Amiri:
Scalable structure-free data fusion on wireless sensor networks. J. Supercomput. 73(12): 5105-5124 (2017)
Coauthor Index
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