Search Results for author:
Found 8 papers, 2 papers with code
Historical patterns of rice farming explain modern-day language use in China and Japan more than modernization and urbanization
We used natural language processing to analyze a billion words to study cultural differences on Weibo, one of China's largest social media platforms.
Psychological Metrics for Dialog System Evaluation
We present metrics for evaluating dialog systems through a psychologically-grounded "human" lens in which conversational agents express a diversity of both states (e. g., emotion) and traits (e. g., personality), just as people do.
Detecting Emerging Symptoms of COVID-19 using Context-based Twitter Embeddings
In this paper, we present an iterative graph-based approach for the detection of symptoms of COVID-19, the pathology of which seems to be evolving.
Studying Cultural Differences in Emoji Usage across the East and the West
Global acceptance of Emojis suggests a cross-cultural, normative use of Emojis.
Tree-Structured Boosting: Connections Between Gradient Boosted Stumps and Full Decision Trees
Additive models, such as produced by gradient boosting, and full interaction models, such as classification and regression trees (CART), are widely used algorithms that have been investigated largely in isolation.
Multi-View Learning of Word Embeddings via CCA
Recently, there has been substantial interest in using large amounts of unlabeled data to learn word representations which can then be used as features in supervised classifiers for NLP tasks.
A Risk Comparison of Ordinary Least Squares vs Ridge Regression
We compare the risk of ridge regression to a simple variant of ordinary least squares, in which one simply projects the data onto a finite dimensional subspace (as specified by a Principal Component Analysis) and then performs an ordinary (un-regularized) least squares regression in this subspace.
Regularized Learning with Networks of Features
Here we present a framework for regularized learning in settings where one has prior knowledge about which features are expected to have similar and dissimilar weights.
