Search Results for author:
Found 8 papers, 5 papers with code
Mobile Internet Quality Estimation using Self-Tuning Kernel Regression
Modeling and estimation for spatial data are ubiquitous in real life, frequently appearing in weather forecasting, pollution detection, and agriculture.
Towards Understanding Gender Bias in Relation Extraction
We use WikiGenderBias to evaluate systems for bias and find that NRE systems exhibit gender biased predictions and lay groundwork for future evaluation of bias in NRE.
A Benchmark Dataset for Learning to Intervene in Online Hate Speech
In this paper, we also analyze the datasets to understand the common intervention strategies and explore the performance of common automatic response generation methods on these new datasets to provide a benchmark for future research.
Mitigating Gender Bias in Natural Language Processing: Literature Review
In this paper, we review contemporary studies on recognizing and mitigating gender bias in NLP.
Learning to Decipher Hate Symbols
Furthermore, we propose a novel Variational Decipher and show how it can generalize better to unseen hate symbols in a more challenging testing setting.
SafeRoute: Learning to Navigate Streets Safely in an Urban Environment
We propose SafeRoute, a novel solution to the problem of navigating cities and avoiding street harassment and crime.
Hierarchical CVAE for Fine-Grained Hate Speech Classification
Existing work on automated hate speech detection typically focuses on binary classification or on differentiating among a small set of categories.
Hate Lingo: A Target-based Linguistic Analysis of Hate Speech in Social Media
While social media empowers freedom of expression and individual voices, it also enables anti-social behavior, online harassment, cyberbullying, and hate speech.
