Search Results for author:
Found 20 papers, 8 papers with code
pathfinder: A Semantic Framework for Literature Review and Knowledge Discovery in Astronomy
The exponential growth of astronomical literature poses significant challenges for researchers navigating and synthesizing general insights or even domain-specific knowledge.
Riveter: Measuring Power and Social Dynamics Between Entities
Riveter provides a complete easy-to-use pipeline for analyzing verb connotations associated with entities in text corpora.
Developing Speech Processing Pipelines for Police Accountability
We investigate the potential of large pre-trained speech models for facilitating reviews, focusing on ASR and officer speech detection in footage from traffic stops.
Examining risks of racial biases in NLP tools for child protective services
Given well-established racial bias in this setting, we investigate possible ways deployed NLP is liable to increase racial disparities.
Gendered Mental Health Stigma in Masked Language Models
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
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.
Challenges and Opportunities in Information Manipulation Detection: An Examination of Wartime Russian Media
NLP research on public opinion manipulation campaigns has primarily focused on detecting overt strategies such as fake news and disinformation.
Improving Span Representation for Domain-adapted Coreference Resolution
Recent work has shown fine-tuning neural coreference models can produce strong performance when adapting to different domains.
A Survey of Race, Racism, and Anti-Racism in NLP
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
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
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
In current hate speech datasets, there exists a high correlation between annotators' perceptions of toxicity and signals of African American English (AAE).
A Generative Approach to Titling and Clustering Wikipedia Sections
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
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
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
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.
Contextual Affective Analysis: A Case Study of People Portrayals in Online #MeToo Stories
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
Framing and Agenda-setting in Russian News: a Computational Analysis of Intricate Political Strategies
Amidst growing concern over media manipulation, NLP attention has focused on overt strategies like censorship and "fake news'".
Authorship Analysis of Xenophon's Cyropaedia
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.
