Ronald Cardenas

According to our database, Ronald Cardenas authored at least 10 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

'Keep it Together': Enforcing Cohesion in Extractive Summaries by Simulating Human Memory.

Ronald Cardenas, Matthias Galle, Shay B. Cohen

CoRR, 2024

2023

'Don't Get Too Technical with Me': A Discourse Structure-Based Framework for Science Journalism.

Ronald Cardenas, Bingsheng Yao, Dakuo Wang, Yufang Hou

CoRR, 2023

'Don't Get Too Technical with Me': A Discourse Structure-Based Framework for Automatic Science Journalism.

Ronald Cardenas, Bingsheng Yao, Dakuo Wang, Yufang Hou

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

2022

GEMv2: Multilingual NLG Benchmarking in a Single Line of Code.

Sebastian Gehrmann, Abhik Bhattacharjee, Abinaya Mahendiran, Alex Wang, Alexandros Papangelis, Aman Madaan, Angelina McMillan-Major, Anna Shvets, Ashish Upadhyay, Bingsheng Yao, Bryan Wilie, Chandra Bhagavatula, Chaobin You, Craig Thomson, Cristina Garbacea, Dakuo Wang, Daniel Deutsch, Deyi Xiong, Di Jin, Dimitra Gkatzia, Dragomir R. Radev, Elizabeth Clark, Esin Durmus, Faisal Ladhak, Filip Ginter, Genta Indra Winata, Hendrik Strobelt, Hiroaki Hayashi, Jekaterina Novikova, Jenna Kanerva, Jenny Chim, Jiawei Zhou, Jordan Clive, Joshua Maynez, João Sedoc, Juraj Juraska, Kaustubh D. Dhole, Khyathi Raghavi Chandu, Laura Perez-Beltrachini, Leonardo F. R. Ribeiro, Lewis Tunstall, Li Zhang, Mahima Pushkarna, Mathias Creutz, Michael White, Mihir Sanjay Kale, Moussa Kamal Eddine, Nico Daheim, Nishant Subramani, Ondrej Dusek, Paul Pu Liang, Pawan Sasanka Ammanamanchi, Qi Zhu, Ratish Puduppully, Reno Kriz, Rifat Shahriyar, Ronald Cardenas, Saad Mahamood, Salomey Osei, Samuel Cahyawijaya, Sanja Stajner, Sébastien Montella, Shailza Jolly, Simon Mille, Tahmid Hasan, Tianhao Shen, Tosin P. AMahidewumi, Vikas Raunak, Vipul Raheja, Vitaly Nikolaev, Vivian Tsai, Yacine Jernite, Ying Xu, Yisi Sang, Yixin Liu, Yufang Hou

CoRR, 2022

On the Trade-off between Redundancy and Local Coherence in Summarization.

Ronald Cardenas, Matthias Galle, Shay B. Cohen

CoRR, 2022

2021

Unsupervised Extractive Summarization by Human Memory Simulation.

Ronald Cardenas, Matthias Galle, Shay B. Cohen

CoRR, 2021

2019

Replacing Linguists with Dummies: A Serious Need for Trivial Baselines in Multi-Task Neural Machine Translation.

Daniel Kondratyuk, Ronald Cardenas, Ondrej Bojar

Prague Bull. Math. Linguistics, 2019

A Grounded Unsupervised Universal Part-of-Speech Tagger for Low-Resource Languages.

Ronald Cardenas, Ying Lin, Heng Ji, Jonathan May

Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2019

2018

Improving Topic Coherence Using Entity Extraction Denoising.

Ronald Cardenas, Kevin Bello, Alberto Coronado, Elizabeth Villota

Prague Bull. Math. Linguistics, 2018

Document Modeling with External Attention for Sentence Extraction.

Shashi Narayan, Ronald Cardenas, Nikos Papasarantopoulos, Shay B. Cohen, Mirella Lapata, Jiangsheng Yu, Yi Chang

Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics, 2018