The abundance of opinions on the web has kindled the study of opinion summarization over
the last few years. People have introduced various techniques and paradigms to solving this …

The CoNLL-2012 shared task involved predicting coreference in English, Chinese, and
Arabic, using the final version, v5. 0, of the OntoNotes corpus. It was a follow-on to the …

Since state-of-the-art approaches to offensive language detection rely on supervised
learning, it is crucial to quickly adapt them to the continuously evolving scenario of social …

This article is a survey of methods for measuring agreement among corpus annotators. It
exposes the mathematics and underlying assumptions of agreement coefficients, covering …

We present an empirically grounded method for evaluating content selection in
summarization. It incorporates the idea that no single best model summary for a collection of …

Finding emotions in text is an area of research with wide-ranging applications. We describe
an emotion annotation task of identifying emotion category, emotion intensity and the …

The CoNLL-2011 shared task involved predicting coreference using OntoNotes data.
Resources in this field have tended to be limited to noun phrase coreference, often on a …

We introduce a novel coreference resolution system that models entities and events jointly.
Our iterative method cautiously constructs clusters of entity and event mentions using linear …

Most research on emotion analysis from text focuses on the task of emotion classification or
emotion intensity regression. Fewer works address emotions as a phenomenon to be …

The idea for this textbook emerged when Sandra was teaching corpus linguistics to
linguistics and computational linguistics students at Indiana University. One of the goals of …