Search Results for author:
Found 9 papers, 2 papers with code
Inferring gender from name: a large scale performance evaluation study
While inferring gender from name may raise some ethical questions, the lack of viable alternatives means that researchers have to resort to such approaches when the goal justifies the means - in the majority of such studies the goal is to examine patterns and determinants of gender disparities.
Evons: A Dataset for Fake and Real News Virality Analysis and Prediction
Unlike existing fake news datasets which either contain claims or news article headline and body, in this collection each article is supported with a Facebook engagement count which we consider as an indicator of the article virality.
Choosing News Topics to Explain Stock Market Returns
We analyze methods for selecting topics in news articles to explain stock returns.
DeSePtion: Dual Sequence Prediction and Adversarial Examples for Improved Fact-Checking
The increased focus on misinformation has spurred development of data and systems for detecting the veracity of a claim as well as retrieving authoritative evidence.
Equation Embeddings
Qualitatively, we found that equation embeddings provide coherent semantic representations of equations and can capture semantic similarity to other equations and to words.
Multilingual Topic Models
Scientific publications have evolved several features for mitigating vocabulary mismatch when indexing, retrieving, and computing similarity between articles.
