BYU

Abstract by Tiana Gale

Personal Infomation


Presenter's Name

Tiana Gale

Co-Presenters

None

Degree Level

Undergraduate

Co-Authors

None

Abstract Infomation


Department

Computer Science

Faculty Advisor

Sean Warnick

Title

Data Annotation and Automatic Event Extraction

Abstract

3M

Event extraction is the process of finding events and their components in narrative texts such as news articles and ordering these events in a timeline to reconstruct narratives. The goal of the event extraction project in IDeA Labs is to automate this process. In order to do this, it is necessary to have a collection of events extracted by human annotators that can be used as training data for machine learning. This presentation will discuss our event extraction model, demonstrate our method of manually annotating events in news articles, and explain why our collection of annotated events is important for training computers to do event extraction accurately.