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2020 – today
- 2022
[j1]Saket Gurukar, Priyesh Vijayan, Srinivasan Parthasarathy, Balaraman Ravindran, Aakash Srinivasan, Goonmeet Bajaj, Chen Cai, Moniba Keymanesh, Saravana Kumar, Pranav Maneriker, Anasua Mitra, Vedang Patel:
Benchmarking and Analyzing Unsupervised Network Representation Learning and the Illusion of Progress. Trans. Mach. Learn. Res. 2022 (2022)- [i6]Moniba Keymanesh, Adrian Benton, Mark Dredze:
What Makes Data-to-Text Generation Hard for Pretrained Language Models? CoRR abs/2205.11505 (2022) - 2021
- [i5]Moniba Keymanesh, Tanya Y. Berger-Wolf, Micha Elsner, Srinivasan Parthasarathy:
Fairness-aware Summarization for Justified Decision-Making. CoRR abs/2107.06243 (2021) - [i4]Moniba Keymanesh, Micha Elsner, Srinivasan Parthasarathy:
Privacy Policy Question Answering Assistant: A Query-Guided Extractive Summarization Approach. CoRR abs/2109.14638 (2021) - 2020
- [c2]Ritesh Sarkhel, Moniba Keymanesh, Arnab Nandi, Srinivasan Parthasarathy:
Interpretable Multi-headed Attention for Abstractive Summarization at Controllable Lengths. COLING 2020: 6871-6882 - [c1]Moniba Keymanesh, Micha Elsner, Srinivasan Sarthasarathy:
Toward Domain-Guided Controllable Summarization of Privacy Policies. NLLP@KDD 2020: 18-24 - [i3]Ritesh Sarkhel, Moniba Keymanesh, Arnab Nandi, Srinivasan Parthasarathy:
Transfer Learning for Abstractive Summarization at Controllable Budgets. CoRR abs/2002.07845 (2020)
2010 – 2019
- 2019
- [i2]Saket Gurukar, Priyesh Vijayan, Aakash Srinivasan, Goonmeet Bajaj, Chen Cai, Moniba Keymanesh, Saravana Kumar, Pranav Maneriker, Anasua Mitra, Vedang Patel, Balaraman Ravindran, Srinivasan Parthasarathy:
Network Representation Learning: Consolidation and Renewed Bearing. CoRR abs/1905.00987 (2019) - [i1]Moniba Keymanesh, Saket Gurukar, Bethany Boettner, Christopher R. Browning, Catherine A. Calder, Srinivasan Parthasarathy:
Twitter Watch: Leveraging Social Media to Monitor and Predict Collective-Efficacy of Neighborhoods. CoRR abs/1911.06359 (2019)
Coauthor Index
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