activity
20182020
most citedA Set of Recommendations for Assessing Human-Machine Parity in Language Translation

68 citations · 95 across the 3 of their papers we have counts for

collaborators

5 papers

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.CL202068 cited

A Set of Recommendations for Assessing Human-Machine Parity in Language Translation

Samuel Läubli, Sheila Castilho, Graham Neubig +3

The quality of machine translation has increased remarkably over the past years, to the degree that it was found to be indistinguishable from professional human translation in a nu…

cs.CL201912 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

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

Attentive Interaction Model: Modeling Changes in View in Argumentation

Yohan Jo, Shivani Poddar, Byungsoo Jeon +3

We present a neural architecture for modeling argumentative dialogue that explicitly models the interplay between an Opinion Holder's (OH's) reasoning and a challenger's argument,…