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...
Neural language models have been shown to achieve an impressive level of...
This paper presents an effective approach for parallel corpus mining usi...
We present a novel approach to learn representations for sentence-level
...
We present models for encoding sentences into embedding vectors that
spe...
This paper presents a computationally efficient machine-learned method f...
Sequence-to-sequence models have been applied to the conversation respon...
We investigate the task of modeling open-domain, multi-turn, unstructure...
Documents exhibit sequential structure at multiple levels of abstraction...