activity
20152022
most citedMassively Multilingual Word Embeddings

278 citations · 576 across the 32 of their papers we have counts for

collaborators
Showing 2019Show all

8 papers · 1 filter

cs.CL2019

A Dynamic Strategy Coach for Effective Negotiation

Yiheng Zhou, He He, Alan W Black +1

Negotiation is a complex activity involving strategic reasoning, persuasion, and psychology. An average person is often far from an expert in negotiation. Our goal is to assist hum…

cs.CL2019★ 13 cited

Augmenting Non-Collaborative Dialog Systems with Explicit Semantic and Strategic Dialog History

Yiheng Zhou, Yulia Tsvetkov, Alan W Black +1

We study non-collaborative dialogs, where two agents have a conflict of interest but must strategically communicate to reach an agreement (e.g., negotiation). This setting poses ne…

cs.LG2019

Topics to Avoid: Demoting Latent Confounds in Text Classification

Sachin Kumar, Shuly Wintner, Noah A. Smith +1

Despite impressive performance on many text classification tasks, deep neural networks tend to learn frequent superficial patterns that are specific to the training data and do not…

cs.CL2019

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…

cs.CL2019★ 19 cited

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…

cs.CL2019

Entity-Centric Contextual Affective Analysis

Anjalie Field, Yulia Tsvetkov

While contextualized word representations have improved state-of-the-art benchmarks in many NLP tasks, their potential usefulness for social-oriented tasks remains largely unexplor…

cs.SI2019

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…

cs.CL2019★ 4 cited

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…