Title
Learning Monolingual Compositional Representations Via Bilingual Supervision
Abstract
Bilingual models that capture the semantics of sentences are typically only evaluated on cross-lingual transfer tasks such as cross-lingual document categorization or machine translation. In this work, we evaluate the quality of the monolingual representations learned with a variant of the bilingual compositional model of Hermann and Blunsom (2014), when viewing translations in a second language as a semantic annotation as the original language text. We show that compositional objectives based on phrase translation pairs outperform compositional objectives based on bilingual sentences and on monolingual paraphrases.
Year
Venue
DocType
2016
PROCEEDINGS OF THE 54TH ANNUAL MEETING OF THE ASSOCIATION FOR COMPUTATIONAL LINGUISTICS (ACL 2016), VOL 2
Conference
Volume
Citations 
PageRank 
P16-2
0
0.34
References 
Authors
20
2
Name
Order
Citations
PageRank
Ahmed Elgohary142519.47
Marine Carpuat258751.99