19 citations · 23 across the 4 of their papers we have counts for
4 papers
CMU-01 at the SIGMORPHON 2019 Shared Task on Crosslinguality and Context in Morphology
Aditi Chaudhary, Elizabeth Salesky, Gayatri Bhat +3
This paper presents the submission by the CMU-01 team to the SIGMORPHON 2019 task 2 of Morphological Analysis and Lemmatization in Context. This task requires us to produce the lem…
Measuring Bias in Contextualized Word Representations
Keita Kurita, Nidhi Vyas, Ayush Pareek +2
Contextual word embeddings such as BERT have achieved state of the art performance in numerous NLP tasks. Since they are optimized to capture the statistical properties of training…
Contextual Affective Analysis: A Case Study of People Portrayals in Online #MeToo Stories
Anjalie Field, Gayatri Bhat, Yulia Tsvetkov
In October 2017, numerous women accused producer Harvey Weinstein of sexual harassment. Their stories encouraged other women to voice allegations of sexual harassment against many…
Black is to Criminal as Caucasian is to Police: Detecting and Removing Multiclass Bias in Word Embeddings
Thomas Manzini, Yao Chong Lim, Yulia Tsvetkov +1
Online texts -- across genres, registers, domains, and styles -- are riddled with human stereotypes, expressed in overt or subtle ways. Word embeddings, trained on these texts, per…