Jesús-Andrés Ferrer

Also published as: Jesus Andres-Ferrer, Jesús Andrés-Ferrer


2023

pdf
Large Scale Sequence-to-Sequence Models for Clinical Note Generation from Patient-Doctor Conversations
Gagandeep Singh | Yue Pan | Jesus Andres-Ferrer | Miguel Del-Agua | Frank Diehl | Joel Pinto | Paul Vozila
Proceedings of the 5th Clinical Natural Language Processing Workshop

We present our work on building large scale sequence-to-sequence models for generating clinical note from patient-doctor conversation. This is formulated as an abstractive summarization task for which we use encoder-decoder transformer model with pointer-generator. We discuss various modeling enhancements to this baseline model which include using subword and multiword tokenization scheme, prefixing the targets with a chain-of-clinical-facts, and training with contrastive loss that is defined over various candidate summaries. We also use flash attention during training and query chunked attention during inference to be able to process long input and output sequences and to improve computational efficiency. Experiments are conducted on a dataset containing about 900K encounters from around 1800 healthcare providers covering 27 specialties. The results are broken down into primary care and non-primary care specialties. Consistent accuracy improvements are observed across both of these categories.

2012

pdf
Does more data always yield better translations?
Guillem Gascó | Martha-Alicia Rocha | Germán Sanchis-Trilles | Jesús Andrés-Ferrer | Francisco Casacuberta
Proceedings of the 13th Conference of the European Chapter of the Association for Computational Linguistics

2010

pdf
ITI-UPV machine translation system for IWSLT 2010
Guillem Gascó | Vicent Alabau | Jesús-Andrés Ferrer | Jesús González-Rubio | Martha-Alicia Rocha | Germán Sanchis-Trilles | Francisco Casacuberta | Jorge González | Joan-Andreu Sánchez
Proceedings of the 7th International Workshop on Spoken Language Translation: Evaluation Campaign

This paper presents the submissions of the PRHLT group for the evaluation campaign of the International Workshop on Spoken Language Translation. We focus on the development of reliable translation systems between syntactically different languages (DIALOG task) and on the efficient training of SMT models in resource-rich scenarios (TALK task).

pdf
UPV-PRHLT English–Spanish System for WMT10
Germán Sanchis-Trilles | Jesús Andrés-Ferrer | Guillem Gascó | Jesús González-Rubio | Pascual Martínez-Gómez | Martha-Alicia Rocha | Joan-Andreu Sánchez | Francisco Casacuberta
Proceedings of the Joint Fifth Workshop on Statistical Machine Translation and MetricsMATR

pdf
The UPV-PRHLT Combination System for WMT 2010
Jesús González-Rubio | Germán Sanchis-Trilles | Joan-Andreu Sánchez | Jesús Andrés-Ferrer | Guillem Gascó | Pascual Martínez-Gómez | Martha-Alicia Rocha | Francisco Casacuberta
Proceedings of the Joint Fifth Workshop on Statistical Machine Translation and MetricsMATR

2009

pdf
A Phrase-Based Hidden Semi-Markov Approach to Machine Translation
Jesús Andrés-Ferrer | Alfons Juan
Proceedings of the 13th Annual Conference of the European Association for Machine Translation

2008

pdf
Triplet Lexicon Models for Statistical Machine Translation
Saša Hasan | Juri Ganitkevitch | Hermann Ney | Jesús Andrés-Ferrer
Proceedings of the 2008 Conference on Empirical Methods in Natural Language Processing

2007

pdf bib
Combining translation models in statistical machine translation
Jesús Andrés-Ferrer | Ismael Garcia-Varea | Francisco Casacuberta
Proceedings of the 11th Conference on Theoretical and Methodological Issues in Machine Translation of Natural Languages: Papers