On social media, additional context is often present in the form of
anno...
Providing personalized recommendations in an environment where items exh...
We present TwHIN-BERT, a multilingual language model trained on in-domai...
User-generated social media data is constantly changing as new trends
in...
Candidate generation is the first stage in recommendation systems, where...
A key challenge in social network analysis is understanding the position...
Sentence-level Quality estimation (QE) of machine translation is
traditi...
Mistranslated numbers have the potential to cause serious effects, such ...
Neural machine translation systems are known to be vulnerable to adversa...
The scarcity of parallel data is a major obstacle for training high-qual...
Cross-lingual named-entity lexicon are an important resource to multilin...
Quality estimation aims to measure the quality of translated content wit...
Existing work in translation demonstrated the potential of massively
mul...
Cross-lingual document alignment aims to identify pairs of documents in ...
We present ProxiModel, a novel event mining framework for extracting
hig...
Cross-lingual document alignment aims to identify pairs of documents in ...
Current semantic segmentation models cannot easily generalize to new obj...
This paper describes Facebook AI's submission to the WAT 2019 Myanmar-En...
Traditionally, many text-mining tasks treat individual word-tokens as th...