Document modeling with external attention for sentence extraction S Narayan, R Cardenas, N Papasarantopoulos, SB Cohen, M Lapata, ... Proceedings of the 56th Annual Meeting of the Association for Computational …, 2018 | 35 | 2018 |
Gemv2: Multilingual nlg benchmarking in a single line of code S Gehrmann, A Bhattacharjee, A Mahendiran, A Wang, A Papangelis, ... arXiv preprint arXiv:2206.11249, 2022 | 15 | 2022 |
Siminchik: A Speech Corpus for Preservation of Southern Quechua R Cardenas, R Zevallos, R Baquerizo, L Camacho Proceedings of the Eleventh International Conference on Language Resources …, 2018 | 15 | 2018 |
A grounded unsupervised universal part-of-speech tagger for low-resource languages R Cardenas, Y Lin, H Ji, J May arXiv preprint arXiv:1904.05426, 2019 | 13 | 2019 |
A morphological analyzer for Shipibo-konibo R Cardenas, D Zeman Proceedings of the Fifteenth Workshop on Computational Research in Phonetics …, 2018 | 12 | 2018 |
Improving Topic Coherence Using Entity Extraction Denoising. R Cardenas, K Bello, A Coronado, E Villota Prague Bull. Math. Linguistics 110, 85-101, 2018 | 6 | 2018 |
Unsupervised extractive summarization by human memory simulation R Cardenas, M Galle, SB Cohen arXiv preprint arXiv:2104.08392, 2021 | 3 | 2021 |
Replacing Linguists with Dummies: A Serious Need for Trivial Baselines in Multi-Task Neural Machine Translation D Kondratyuk, R Cardenas, O Bojar The Prague Bulletin of Mathematical Linguistics 113 (1), 31-40, 2019 | 3 | 2019 |
‘Don’t Get Too Technical with Me’: A Discourse Structure-Based Framework for Automatic Science Journalism R Cardenas, B Yao, D Wang, Y Hou Proceedings of the 2023 Conference on Empirical Methods in Natural Language …, 2023 | 2 | 2023 |
On the Trade-off between Redundancy and Local Coherence in Summarization R Cardenas, M Galle, SB Cohen arXiv preprint arXiv:2205.10192, 2022 | 2 | 2022 |
CUNI-Malta system at SIGMORPHON 2019 Shared Task on Morphological Analysis and Lemmatization in context: Operation-based word formation R Cardenas, C Borg, D Zeman Association for Computational Linguistics, 2019 | 2 | 2019 |
Labor market demand analysis for engineering majors in Peru using Shallow Parsing and Topic Modeling R Cardenas, K Bello, A Coronado, E Villota Machine Learning Summer School. Japón, 2015 | 2 | 2015 |
Analisis del mercado laboral peruano para las ramas de ingenieria mecanica e ingenieria electrica KS Bello, RA Cardenas, AR Valle, ER Villota, AM Coronado XXI CONIMERA, 2015 | 2 | 2015 |
On the trade-off between redundancy and cohesiveness in extractive summarization R Cardenas, M Gallé, SB Cohen Journal of Artificial Intelligence Research 80, 273-326, 2024 | 1 | 2024 |
Keep it Together': Enforcing Cohesion in Extractive Summaries by Simulating Human Memory R Cardenas, M Galle, SB Cohen arXiv preprint arXiv:2402.10643, 2024 | | 2024 |
Universal Morphological Analysis using ReinforcementLearning RA Cardenas Acosta Univerzita Karlova, Matematicko-fyzikální fakulta, 2020 | | 2020 |
Engineering job ads corpus R Cardenas Acosta, K Bello Medina, A Coronado, E Villota | | 2016 |
Panorama of the Market Demand for Mechanical Engineers in South American Countries RA Cardenas, KS Bello, AR Valle, ER Villota, AM Coronado ASME 2015 International Mechanical Engineering Congress and Exposition …, 2015 | | 2015 |
Análisis de la demanda laboral peruana en el área del mantenimiento minero AR Valle, KS Bello, RA Cardenas, ER Villota, AM Coronado MAPLEMIN 2015, 2015 | | 2015 |
ELISA System Description for LoReHLT 2018 R Cardenas, T Gowda, U Hermjakob, N Pourdamghani, M Pust, J Shen, ... | | |