1.3k citations · 1.4k across the 5 of their papers we have counts for
5 papers
Multilingual Universal Sentence Encoder for Semantic Retrieval
Yinfei Yang, Daniel Cer, Amin Ahmad +9
We introduce two pre-trained retrieval focused multilingual sentence encoding models, respectively based on the Transformer and CNN model architectures. The models embed text from…
Improving Multilingual Sentence Embedding using Bi-directional Dual Encoder with Additive Margin Softmax
Yinfei Yang, Gustavo Hernandez Abrego, Steve Yuan +6
In this paper, we present an approach to learn multilingual sentence embeddings using a bi-directional dual-encoder with additive margin softmax. The embeddings are able to achieve…
Learning Cross-Lingual Sentence Representations via a Multi-task Dual-Encoder Model
Muthuraman Chidambaram, Yinfei Yang, Daniel Cer +4
A significant roadblock in multilingual neural language modeling is the lack of labeled non-English data. One potential method for overcoming this issue is learning cross-lingual t…
Learning Semantic Textual Similarity from Conversations
Yinfei Yang, Steve Yuan, Daniel Cer +7
We present a novel approach to learn representations for sentence-level semantic similarity using conversational data. Our method trains an unsupervised model to predict conversati…
Universal Sentence Encoder
Daniel Cer, Yinfei Yang, Sheng-yi Kong +10
We present models for encoding sentences into embedding vectors that specifically target transfer learning to other NLP tasks. The models are efficient and result in accurate perfo…