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20152022
most citedMeasuring Bias in Contextualized Word Representations

19 citations · 77 across the 17 of their papers we have counts for

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Showing 2021Show all

9 papers · 1 filter

cs.CL2021

Improving the Diversity of Unsupervised Paraphrasing with Embedding Outputs

Monisha Jegadeesan, Sachin Kumar, John Wieting +1

We present a novel technique for zero-shot paraphrase generation. The key contribution is an end-to-end multilingual paraphrasing model that is trained using translated parallel co…

cs.CL2021

Detecting Community Sensitive Norm Violations in Online Conversations

Chan Young Park, Julia Mendelsohn, Karthik Radhakrishnan +4

Online platforms and communities establish their own norms that govern what behavior is acceptable within the community. Substantial effort in NLP has focused on identifying unacce…

cs.CL2021

Efficient Test Time Adapter Ensembling for Low-resource Language Varieties

Xinyi Wang, Yulia Tsvetkov, Sebastian Ruder +1

Adapters are light-weight modules that allow parameter-efficient fine-tuning of pretrained models. Specialized language and task adapters have recently been proposed to facilitate…

cs.CL2021

A Survey of Race, Racism, and Anti-Racism in NLP

Anjalie Field, Su Lin Blodgett, Zeerak Waseem +1

Despite inextricable ties between race and language, little work has considered race in NLP research and development. In this work, we survey 79 papers from the ACL anthology that…

cs.CL2021

Machine Translation into Low-resource Language Varieties

Sachin Kumar, Antonios Anastasopoulos, Shuly Wintner +1

State-of-the-art machine translation (MT) systems are typically trained to generate the "standard" target language; however, many languages have multiple varieties (regional variet…

cs.CL2021★ 5 cited

An Exploration of Data Augmentation Techniques for Improving English to Tigrinya Translation

Lidia Kidane, Sachin Kumar, Yulia Tsvetkov

It has been shown that the performance of neural machine translation (NMT) drops starkly in low-resource conditions, often requiring large amounts of auxiliary data to achieve comp…