Word embeddings are a powerful machine-learning framework that represents each English
word by a vector. The geometric relationship between these vectors captures meaningful …

We provide an NLP framework to uncover four linguistic dimensions of political polarization
in social media: topic choice, framing, affect and illocutionary force. We quantify these …

Alzheimer’s disease (AD) is an incurable, neuropsychiatric, pathological condition that
deteriorates the worth of geriatric lives. AD is characterized by aggregated senile amyloid plaques…

Ranking, recommendation, and retrieval systems are widely used in online platforms and
other societal systems, including e-commerce, media-streaming, admissions, gig platforms, …

Apoptosis is an intrinsic biochemical, cellular process that regulates cell death and is crucial
for cell survival, cellular homeostasis, and maintaining the optimum functional status. …

We study the problem of personalized, interactive tag recommendation for Flickr: While a
user enters/selects new tags for a particular picture, the system suggests related tags to her, …

This paper presents an unsupervised, graph based approach for extractive summarization of
meetings. Graph based methods such as TextRank have been used for sentence extraction …

Ride-hailing marketplaces like Uber and Lyft use dynamic pricing, often called surge, to
balance the supply of available drivers with the demand for rides. We study driver-side payment …

Algorithmic recommender systems such as Spotify and Netflix affect not only consumer behavior
but also producer incentives. Producers seek to create content that will be shown by the …

Healthcare data in the United States often records only a patient’s coarse race group: for
example, both Indian and Chinese patients are typically coded as “Asian.” It is unknown, …