Ankur P. Parikh | DeepAI

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∙ 05/22/2023

SEAHORSE: A Multilingual, Multifaceted Dataset for Summarization Evaluation

Reliable automatic evaluation of summarization systems is challenging du...

0 Elizabeth Clark, et al. ∙

∙ 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...

0 Ran Tian, et al. ∙

∙ 10/12/2022

SQuId: Measuring Speech Naturalness in Many Languages

Much of text-to-speech research relies on human evaluation, which incurs...

0 Thibault Sellam, et al. ∙

∙ 05/23/2022

Simple Recurrence Improves Masked Language Models

In this work, we explore whether modeling recurrence into the Transforme...

0 Tao Lei, et al. ∙

∙ 10/12/2021

Learning Compact Metrics for MT

Recent developments in machine translation and multilingual text generat...

0 Amy Pu, et al. ∙

∙ 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...

0 Ran Tian, et al. ∙

∙ 03/11/2021

Towards Continual Learning for Multilingual Machine Translation via Vocabulary Substitution

We propose a straightforward vocabulary adaptation scheme to extend the ...

0 Xavier Garcia, et al. ∙

∙ 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...

0 Thibault Sellam, et al. ∙

∙ 09/23/2020

Harnessing Multilinguality in Unsupervised Machine Translation for Rare Languages

Unsupervised translation has reached impressive performance on resource-...

0 Xavier Garcia, et al. ∙

∙ 04/29/2020

ToTTo: A Controlled Table-To-Text Generation Dataset

We present ToTTo, an open-domain English table-to-text dataset with over...

0 Ankur P. Parikh, et al. ∙

∙ 04/09/2020

BLEURT: Learning Robust Metrics for Text Generation

Text generation has made significant advances in the last few years. Yet...

0 Thibault Sellam, et al. ∙

∙ 02/07/2020

A Multilingual View of Unsupervised Machine Translation

We present a probabilistic framework for multilingual neural machine tra...

0 Xavier Garcia, et al. ∙

∙ 10/27/2019

Thieves on Sesame Street! Model Extraction of BERT-based APIs

We study the problem of model extraction in natural language processing,...

0 Kalpesh Krishna, et al. ∙

∙ 10/19/2019

Sticking to the Facts: Confident Decoding for Faithful Data-to-Text Generation

Neural conditional text generation systems have achieved significant pro...

0 Ran Tian, et al. ∙

∙ 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...

0 Minjoon Seo, et al. ∙

∙ 04/09/2019

Text Generation with Exemplar-based Adaptive Decoding

We propose a novel conditioned text generation model. It draws inspirati...

0 Hao Peng, et al. ∙

∙ 04/04/2019

Consistency by Agreement in Zero-shot Neural Machine Translation

Generalization and reliability of multilingual translation often highly ...

16 Maruan Al-Shedivat, et al. ∙

∙ 08/05/2018

Hybrid Subspace Learning for High-Dimensional Data

The high-dimensional data setting, in which p >> n, is a challenging sta...

0 Micol Marchetti-Bowick, et al. ∙

∙ 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...

0 Minjoon Seo, et al. ∙

∙ 11/02/2017

Multi-Mention Learning for Reading Comprehension with Neural Cascades

Reading comprehension is a challenging task, especially when executed ac...

0 Swabha Swayamdipta, et al. ∙

∙ 06/06/2016

A Decomposable Attention Model for Natural Language Inference

We propose a simple neural architecture for natural language inference. ...

0 Ankur P. Parikh, et al. ∙

∙ 12/26/2013

Language Modeling with Power Low Rank Ensembles

We present power low rank ensembles (PLRE), a flexible framework for n-g...

0 Ankur P. Parikh, et al. ∙

∙ 10/16/2012

A Spectral Algorithm for Latent Junction Trees

Latent variable models are an elegant framework for capturing rich proba...

0 Ankur P. Parikh, et al. ∙

∙ 10/09/2010

Infinite Hierarchical MMSB Model for Nested Communities/Groups in Social Networks

Actors in realistic social networks play not one but a number of diverse...

0 Qirong Ho, et al. ∙

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