activity
20162019
most citedUniversal Sentence Encoder

1.3k citations · 1.9k across the 11 of their papers we have counts for

collaborators

11 papers

cs.CL2019★ 67 cited

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…

cs.CL2019★ 2 cited

Hierarchical Document Encoder for Parallel Corpus Mining

Mandy Guo, Yinfei Yang, Keith Stevens +5

We explore using multilingual document embeddings for nearest neighbor mining of parallel data. Three document-level representations are investigated: (i) document embeddings gener…

cs.CL2019★ 12 cited

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…

cs.CL2018★ 2 cited

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…

cs.CL2018★ 3 cited

Effective Parallel Corpus Mining using Bilingual Sentence Embeddings

Mandy Guo, Qinlan Shen, Yinfei Yang +8

This paper presents an effective approach for parallel corpus mining using bilingual sentence embeddings. Our embedding models are trained to produce similar representations exclus…

cs.CL2018★ 31 cited

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…