Francisco Guzman
Biographic Data
| ID | 9258167 |
|---|---|
| NAME | Francisco Guzman |
| GIVEN NAMES | Francisco |
| FAMILY NAME | Guzman |
| SIGNATURE | GUZMÁN F |
| AFFILIATIONS | Applied Machine Learning Group, Facebook. |
| ORCID | 0000-0002-4366-8241 |
| VERIFIED | Yes |
| TOTAL WORKS | 3 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 3 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2013 |
| LATEST PUBLICATION YEAR | 2020 |
| H-INDEX | 0 |
Unsupervised Cross-lingual Representation Learning at Scale
Alexis Conneau, Kartikay Khandelwal, Naman Goyal, Vishrav Chaudhary, Guillaume Wenzek, Francisco Guzmán, Edouard Grave, Myle Ott, Luke Zettlemoyer, Veselin Stoyanov. Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics. 2020.
Discourse Structure in Machine Translation Evaluation
In this article, we explore the potential of using sentence-level discourse structure for machine translation evaluation. We first design discourse-aware similarity measures, which use all-subtree kernels to compare discourse parse trees in accordance with the Rhetorical Structure Theory (RST). Then, we show that a simple linear combination with these measures can help improve various existing machine translation evaluation metrics regarding corr…
Understanding Power Electronics and Electrical Machines in Multidisciplinary Wind Energy Conversion System Courses
Wind energy conversion systems (WECS) nowadays offer an extremely wide range of topologies, including various different types of electrical generators and power converters. Wind energy is also an application of great interest to students and with a huge potential for engineering employment. Making WECS the main center of interest when teaching power electronics and electrical machines can therefore be highly advantageous. This paper describes a n…
No prominent works on this page.
Understanding Power Electronics and Electrical Machines in Multidisciplinary Wind Energy Conversion System Courses
Wind energy conversion systems (WECS) nowadays offer an extremely wide range of topologies, including various different types of electrical generators and power converters. Wind energy is also an application of great interest to students and with a huge potential for engineering employment. Making WECS the main center of interest when teaching power electronics and electrical machines can therefore be highly advantageous. This paper describes a n…
Discourse Structure in Machine Translation Evaluation
In this article, we explore the potential of using sentence-level discourse structure for machine translation evaluation. We first design discourse-aware similarity measures, which use all-subtree kernels to compare discourse parse trees in accordance with the Rhetorical Structure Theory (RST). Then, we show that a simple linear combination with these measures can help improve various existing machine translation evaluation metrics regarding corr…
Unsupervised Cross-lingual Representation Learning at Scale
Alexis Conneau, Kartikay Khandelwal, Naman Goyal, Vishrav Chaudhary, Guillaume Wenzek, Francisco Guzmán, Edouard Grave, Myle Ott, Luke Zettlemoyer, Veselin Stoyanov. Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics. 2020.
Computer Science (3 works) · Natural language processing (2 works) · Natural Language Processing Techniques (2 works) · Topic Modeling (2 works) · Algorithm (1 work) · Artificial Intelligence (1 work) · Artificial Intelligence (1 work) · Binary tree (1 work) · Converters (1 work) · Data mining (1 work)