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05/22/2023
SEAHORSE: A Multilingual, Multifaceted Dataset for Summarization Evaluation
Reliable automatic evaluation of summarization systems is challenging du...
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10/21/2022
Amos: An Adam-style Optimizer with Adaptive Weight Decay towards Model-Oriented Scale
We present Amos, a stochastic gradient-based optimizer designed for trai...
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10/12/2022
SQuId: Measuring Speech Naturalness in Many Languages
Much of text-to-speech research relies on human evaluation, which incurs...
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05/23/2022
Simple Recurrence Improves Masked Language Models
In this work, we explore whether modeling recurrence into the Transforme...
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10/12/2021
Learning Compact Metrics for MT
Recent developments in machine translation and multilingual text generat...
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08/30/2021
Shatter: An Efficient Transformer Encoder with Single-Headed Self-Attention and Relative Sequence Partitioning
The highly popular Transformer architecture, based on self-attention, is...
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03/11/2021
Towards Continual Learning for Multilingual Machine Translation via Vocabulary Substitution
We propose a straightforward vocabulary adaptation scheme to extend the ...
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10/08/2020
Learning to Evaluate Translation Beyond English: BLEURT Submissions to the WMT Metrics 2020 Shared Task
The quality of machine translation systems has dramatically improved ove...
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09/23/2020
Harnessing Multilinguality in Unsupervised Machine Translation for Rare Languages
Unsupervised translation has reached impressive performance on resource-...
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04/29/2020
ToTTo: A Controlled Table-To-Text Generation Dataset
We present ToTTo, an open-domain English table-to-text dataset with over...
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04/09/2020
BLEURT: Learning Robust Metrics for Text Generation
Text generation has made significant advances in the last few years. Yet...
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02/07/2020
A Multilingual View of Unsupervised Machine Translation
We present a probabilistic framework for multilingual neural machine tra...
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10/27/2019
Thieves on Sesame Street! Model Extraction of BERT-based APIs
We study the problem of model extraction in natural language processing,...
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10/19/2019
Sticking to the Facts: Confident Decoding for Faithful Data-to-Text Generation
Neural conditional text generation systems have achieved significant pro...
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06/13/2019
Real-Time Open-Domain Question Answering with Dense-Sparse Phrase Index
Existing open-domain question answering (QA) models are not suitable for...
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04/09/2019
Text Generation with Exemplar-based Adaptive Decoding
We propose a novel conditioned text generation model. It draws inspirati...
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04/04/2019
Consistency by Agreement in Zero-shot Neural Machine Translation
Generalization and reliability of multilingual translation often highly ...
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08/05/2018
Hybrid Subspace Learning for High-Dimensional Data
The high-dimensional data setting, in which p >> n, is a challenging sta...
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04/20/2018
Phrase-Indexed Question Answering: A New Challenge for Scalable Document Comprehension
The current trend of extractive question answering (QA) heavily relies o...
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11/02/2017
Multi-Mention Learning for Reading Comprehension with Neural Cascades
Reading comprehension is a challenging task, especially when executed ac...
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06/06/2016
A Decomposable Attention Model for Natural Language Inference
We propose a simple neural architecture for natural language inference. ...
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12/26/2013
Language Modeling with Power Low Rank Ensembles
We present power low rank ensembles (PLRE), a flexible framework for n-g...
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10/16/2012
A Spectral Algorithm for Latent Junction Trees
Latent variable models are an elegant framework for capturing rich proba...
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10/09/2010
