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Found 19 papers, 12 papers with code
CultureBank: An Online Community-Driven Knowledge Base Towards Culturally Aware Language Technologies
To enhance language models' cultural awareness, we design a generalizable pipeline to construct cultural knowledge bases from different online communities on a massive scale.
Social Skill Training with Large Language Models
People rely on social skills like conflict resolution to communicate effectively and to thrive in both work and personal life.
Social Intelligence Data Infrastructure: Structuring the Present and Navigating the Future
As Natural Language Processing (NLP) systems become increasingly integrated into human social life, these technologies will need to increasingly rely on social intelligence.
Impressions: Understanding Visual Semiotics and Aesthetic Impact
We present Impressions, a novel dataset through which to investigate the semiotics of images, and how specific visual features and design choices can elicit specific emotions, thoughts and beliefs.
CoAnnotating: Uncertainty-Guided Work Allocation between Human and Large Language Models for Data Annotation
Annotated data plays a critical role in Natural Language Processing (NLP) in training models and evaluating their performance.
Modeling Cross-Cultural Pragmatic Inference with Codenames Duet
Prior work uses simple reference games to test models of pragmatic reasoning, often with unidentified speakers and listeners.
NormBank: A Knowledge Bank of Situational Social Norms
We present NormBank, a knowledge bank of 155k situational norms.
TADA: Task-Agnostic Dialect Adapters for English
Large Language Models, the dominant starting point for Natural Language Processing (NLP) applications, fail at a higher rate for speakers of English dialects other than Standard American English (SAE).
Can Large Language Models Transform Computational Social Science?
We conclude that the performance of today's LLMs can augment the CSS research pipeline in two ways: (1) serving as zero-shot data annotators on human annotation teams, and (2) bootstrapping challenging creative generation tasks (e. g., explaining the underlying attributes of a text).
Multi-VALUE: A Framework for Cross-Dialectal English NLP
First, we use this system to stress tests question answering, machine translation, and semantic parsing.
VALUE: Understanding Dialect Disparity in NLU
To understand disparities in current models and to facilitate more dialect-competent NLU systems, we introduce the VernAcular Language Understanding Evaluation (VALUE) benchmark, a challenging variant of GLUE that we created with a set of lexical and morphosyntactic transformation rules.
The Moral Integrity Corpus: A Benchmark for Ethical Dialogue Systems
In this work, we introduce a new resource, not to authoritatively resolve moral ambiguities, but instead to facilitate systematic understanding of the intuitions, values and moral judgments reflected in the utterances of dialogue systems.
Inducing Positive Perspectives with Text Reframing
Sentiment transfer is one popular example of a text style transfer task, where the goal is to reverse the sentiment polarity of a text.
Latent Hatred: A Benchmark for Understanding Implicit Hate Speech
Hate speech has grown significantly on social media, causing serious consequences for victims of all demographics.
To Protect and To Serve? Analyzing Entity-Centric Framing of Police Violence
Framing has significant but subtle effects on public opinion and policy.
Quantifying the Impact of Human Capital, Job History, and Language Factors on Job Seniority with a Large-scale Analysis of Resumes
As job markets worldwide have become more competitive and applicant selection criteria have become more opaque, and different (and sometimes contradictory) information and advice is available for job seekers wishing to progress in their careers, it has never been more difficult to determine which factors in a r\'esum\'e most effectively help career progression.
Racism is a Virus: Anti-Asian Hate and Counterspeech in Social Media during the COVID-19 Crisis
The spread of COVID-19 has sparked racism and hate on social media targeted towards Asian communities.
Aggressive, Repetitive, Intentional, Visible, and Imbalanced: Refining Representations for Cyberbullying Classification
Cyberbullying is a pervasive problem in online communities.
Ten-year Survival Prediction for Breast Cancer Patients
This report assesses different machine learning approaches to 10-year survival prediction of breast cancer patients.
