7 citations · 7 across the 3 of their papers we have counts for
6 papers
Leveraging Discourse Rewards for Document-Level Neural Machine Translation
Inigo Jauregi Unanue, Nazanin Esmaili, Gholamreza Haffari +1
Document-level machine translation focuses on the translation of entire documents from a source to a target language. It is widely regarded as a challenging task since the translat…
Learning Neural Textual Representations for Citation Recommendation
Binh Thanh Kieu, Inigo Jauregi Unanue, Son Bao Pham +2
With the rapid growth of the scientific literature, manually selecting appropriate citations for a paper is becoming increasingly challenging and time-consuming. While several appr…
Regressing Word and Sentence Embeddings for Regularization of Neural Machine Translation
Inigo Jauregi Unanue, Ehsan Zare Borzeshi, Massimo Piccardi
In recent years, neural machine translation (NMT) has become the dominant approach in automated translation. However, like many other deep learning approaches, NMT suffers from ove…
ReWE: Regressing Word Embeddings for Regularization of Neural Machine Translation Systems
Inigo Jauregi Unanue, Ehsan Zare Borzeshi, Nazanin Esmaili +1
Regularization of neural machine translation is still a significant problem, especially in low-resource settings. To mollify this problem, we propose regressing word embeddings (Re…
A Shared Attention Mechanism for Interpretation of Neural Automatic Post-Editing Systems
Inigo Jauregi Unanue, Ehsan Zare Borzeshi, Massimo Piccardi
Automatic post-editing (APE) systems aim to correct the systematic errors made by machine translators. In this paper, we propose a neural APE system that encodes the source (src) a…
An Adaptive Online HDP-HMM for Segmentation and Classification of Sequential Data
Ava Bargi, Richard Yi Da Xu, Massimo Piccardi
In the recent years, the desire and need to understand sequential data has been increasing, with particular interest in sequential contexts such as patient monitoring, understandin…