Ronald Cardenas

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 13

Top Topics

Extractive Summarization

Top Venues

Prague Bull. Math. Linguistics

Publications

Ronald Cardenas, Matthias Galle, Shay B. Cohen
On the Trade-off between Redundancy and Cohesiveness in Extractive Summarization. J. Artif. Intell. Res. 80 (2024)
Ronald Cardenas, Matthias Galle, Shay B. Cohen
`Keep it Together': Enforcing Cohesion in Extractive Summaries by Simulating Human Memory. CoRR (2024)
Ronald Cardenas, Bingsheng Yao, Dakuo Wang, Yufang Hou
'Don't Get Too Technical with Me': A Discourse Structure-Based Framework for Science Journalism. CoRR (2023)
Ronald Cardenas, Bingsheng Yao, Dakuo Wang, Yufang Hou
'Don't Get Too Technical with Me': A Discourse Structure-Based Framework for Automatic Science Journalism. EMNLP (2023)
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
GEMv2: Multilingual NLG Benchmarking in a Single Line of Code. CoRR (2022)
Ronald Cardenas, Matthias Galle, Shay B. Cohen
On the Trade-off between Redundancy and Local Coherence in Summarization. CoRR (2022)
Ronald Cardenas, Matthias Galle, Shay B. Cohen
Unsupervised Extractive Summarization by Human Memory Simulation. CoRR (2021)
Simone Belli, Ronald Cardenas, Martin Velez, Ariana Rivera, Valeria Santoro
Open Science and Open Access, a Scientific Practice for Sharing Knowledge. ICAI Workshops (2019)
Ronald Cardenas, Ying Lin, Heng Ji, Jonathan May
A Grounded Unsupervised Universal Part-of-Speech Tagger for Low-Resource Languages. NAACL-HLT (1) (2019)
Ronald Cardenas, Ying Lin, Heng Ji, Jonathan May
A Grounded Unsupervised Universal Part-of-Speech Tagger for Low-Resource Languages. CoRR (2019)
Daniel Kondratyuk, Ronald Cardenas, Ondrej Bojar
Replacing Linguists with Dummies: A Serious Need for Trivial Baselines in Multi-Task Neural Machine Translation. Prague Bull. Math. Linguistics 113 (2019)
Shashi Narayan, Ronald Cardenas, Nikos Papasarantopoulos, Shay B. Cohen, Mirella Lapata, Jiangsheng Yu, Yi Chang
Document Modeling with External Attention for Sentence Extraction. ACL (1) (2018)
Ronald Cardenas, Kevin Bello, Alberto Coronado, Elizabeth Villota
Improving Topic Coherence Using Entity Extraction Denoising. Prague Bull. Math. Linguistics 110 (2018)