We consider dyadic zero-shot event extraction (EE) to identify actions
b...
Previous research has shown that established techniques for spoken voice...
Participants in political discourse employ rhetorical strategies – such ...
Large-scale, high-quality corpora are critical for advancing research in...
The study of language variation examines how language varies between and...
Historians and archivists often find and analyze the occurrences of quer...
In this paper we propose modifications to the neural network framework,
...
Sixty participants provided dissimilarity ratings between various singin...
Using observed language to understand interpersonal interactions is impo...
Automated event extraction in social science applications often requires...
Traditional statistical retrieval models often treat each document as a
...
Popular media reflects and reinforces societal biases through the use of...
Methods and applications are inextricably linked in science, and in
part...
Many applications of computational social science aim to infer causal
co...
Sports broadcasters inject drama into play-by-play commentary by buildin...
Search applications often display shortened sentences which must contain...
Recent approaches to English-language sentence compression rely on paral...
Sequence to sequence (seq2seq) models are often employed in settings whe...
Dependency parsing research, which has made significant gains in recent
...
News archives are an invaluable primary source for placing current event...
We propose a new, socially-impactful task for natural language processin...
We highlight an important frontier in algorithmic fairness: disparity in...
Though dialectal language is increasingly abundant on social media, few
...
We explore two techniques which use color to make sense of statistical t...
Many models in natural language processing define probabilistic distribu...