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20182021
most citedMultilingual Universal Sentence Encoder for Semantic Retrieval

67 citations · 112 across the 7 of their papers we have counts for

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9 papers · 1 filter

cs.CL20211 cited

Towards Universality in Multilingual Text Rewriting

Xavier Garcia, Noah Constant, Mandy Guo +1

In this work, we take the first steps towards building a universal rewriter: a model capable of rewriting text in any language to exhibit a wide variety of attributes, including st…

cs.CL20202 cited

Neural Retrieval for Question Answering with Cross-Attention Supervised Data Augmentation

Yinfei Yang, Ning Jin, Kuo Lin +2

Neural models that independently project questions and answers into a shared embedding space allow for efficient continuous space retrieval from large corpora. Independently comput…

cs.CL202015 cited

MultiReQA: A Cross-Domain Evaluation for Retrieval Question Answering Models

Mandy Guo, Yinfei Yang, Daniel Cer +2

Retrieval question answering (ReQA) is the task of retrieving a sentence-level answer to a question from an open corpus (Ahmad et al.,2019).This paper presents MultiReQA, anew mult…

cs.CL2019

Bridging the Gap for Tokenizer-Free Language Models

Dokook Choe, Rami Al-Rfou, Mandy Guo +2

Purely character-based language models (LMs) have been lagging in quality on large scale datasets, and current state-of-the-art LMs rely on word tokenization. It has been assumed t…

cs.CL201967 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.CL20192 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…