Search Results for author: Anjalie Field

Found 16 papers, 5 papers with code

Gendered Mental Health Stigma in Masked Language Models

no code implementations27 Oct 2022 Inna Wanyin Lin, Lucille Njoo, Anjalie Field, ASHISH SHARMA, Katharina Reinecke, Tim Althoff, Yulia Tsvetkov

Mental health stigma prevents many individuals from receiving the appropriate care, and social psychology studies have shown that mental health tends to be overlooked in men.

Mention Annotations Alone Enable Efficient Domain Adaptation for Coreference Resolution

no code implementations14 Oct 2022 Nupoor Gandhi, Anjalie Field, Emma Strubell

Although recent neural models for coreference resolution have led to substantial improvements on benchmark datasets, transferring these models to new target domains containing out-of-vocabulary spans and requiring differing annotation schemes remains challenging.

coreference-resolution Coreference Resolution +1

Challenges and Opportunities in Information Manipulation Detection: An Examination of Wartime Russian Media

no code implementations24 May 2022 Chan Young Park, Julia Mendelsohn, Anjalie Field, Yulia Tsvetkov

NLP research on public opinion manipulation campaigns has primarily focused on detecting overt strategies such as fake news and disinformation.

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

no code implementations ACL 2021 Anjalie Field, Su Lin Blodgett, Zeerak Waseem, Yulia Tsvetkov

Despite inextricable ties between race and language, little work has considered race in NLP research and development.

Controlled Analyses of Social Biases in Wikipedia Bios

1 code implementation31 Dec 2020 Anjalie Field, Chan Young Park, Kevin Z. Lin, Yulia Tsvetkov

In this work, we present a methodology for analyzing Wikipedia pages about people that isolates dimensions of interest (e. g., gender), from other attributes (e. g., occupation).

Multilingual Contextual Affective Analysis of LGBT People Portrayals in Wikipedia

no code implementations21 Oct 2020 Chan Young Park, Xinru Yan, Anjalie Field, Yulia Tsvetkov

Specific lexical choices in narrative text reflect both the writer's attitudes towards people in the narrative and influence the audience's reactions.

Demoting Racial Bias in Hate Speech Detection

no code implementations WS 2020 Mengzhou Xia, Anjalie Field, Yulia Tsvetkov

In current hate speech datasets, there exists a high correlation between annotators' perceptions of toxicity and signals of African American English (AAE).

Hate Speech Detection

A Generative Approach to Titling and Clustering Wikipedia Sections

no code implementations WS 2020 Anjalie Field, Sascha Rothe, Simon Baumgartner, Cong Yu, Abe Ittycheriah

We evaluate the performance of transformer encoders with various decoders for information organization through a new task: generation of section headings for Wikipedia articles.

A Computational Analysis of Polarization on Indian and Pakistani Social Media

1 code implementation20 May 2020 Aman Tyagi, Anjalie Field, Priyank Lathwal, Yulia Tsvetkov, Kathleen M. Carley

Between February 14, 2019 and March 4, 2019, a terrorist attack in Pulwama, Kashmir followed by retaliatory airstrikes led to rising tensions between India and Pakistan, two nuclear-armed countries.

Unsupervised Discovery of Implicit Gender Bias

1 code implementation EMNLP 2020 Anjalie Field, Yulia Tsvetkov

Despite their prevalence in society, social biases are difficult to identify, primarily because human judgements in this domain can be unreliable.

Entity-Centric Contextual Affective Analysis

no code implementations ACL 2019 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 unexplored.

Word Embeddings

Contextual Affective Analysis: A Case Study of People Portrayals in Online #MeToo Stories

2 code implementations8 Apr 2019 Anjalie Field, Gayatri Bhat, Yulia Tsvetkov

We show that while these articles are sympathetic towards women who have experienced sexual harassment, they consistently present men as most powerful, even after sexual assault allegations.

Social and Information Networks

Authorship Analysis of Xenophon's Cyropaedia

no code implementations6 Nov 2017 Anjalie Field

Both NBC and SVM analyses of word frequencies show that the final chapter of the Cyropaedia is closely related to the other chapters of the Cyropaedia.

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