We present our work on developing a multilingual, efficient text-to-text...
Webpages have been a rich resource for language and vision-language task...
Webpages have been a rich, scalable resource for vision-language and lan...
The field of vision and language has witnessed a proliferation of pre-tr...
Many natural language processing tasks benefit from long inputs, but
pro...
Recent work has shown that either (1) increasing the input length or (2)...
Both image-caption pairs and translation pairs provide the means to lear...
In this work, we take the first steps towards building a universal rewri...
We present a novel approach to the problem of text style transfer. Unlik...
Neural models that independently project questions and answers into a sh...
Retrieval question answering (ReQA) is the task of retrieving a
sentence...
Purely character-based language models (LMs) have been lagging in qualit...
We introduce two pre-trained retrieval focused multilingual sentence enc...
We explore using multilingual document embeddings for nearest neighbor m...
In this paper, we present an approach to learn multilingual sentence
emb...
LSTMs and other RNN variants have shown strong performance on character-...
This paper presents an effective approach for parallel corpus mining usi...