NLP

Predicting News Headline Popularity with Syntactic and Semantic Knowledge Using Multi-Task Learning

Newspapers need to attract readers with headlines, anticipating their readers’ preferences. These preferences rely on topical, structural, and lexical factors. We model each of these factors in a multi-task GRU network to predict headline popularity. …

The Social and the Neural Network: How to Make Natural Language Processing about People again

Over the years, natural language processing has increasingly focused on tasks that can be solved by statistical models, but ignored the social aspects of language. These limitations are in large part due to historically available data and the …