Date of Award

Spring 1-1-2017

Document Type

Thesis

Degree Name

Master of Science (MS)

Department

Computer Science

First Advisor

Martha Palmer

Second Advisor

Mans Hulden

Third Advisor

Chenhao Tan

Abstract

Events and relations between them are an important aspect of understanding natural language. This task can be broken into two, extracting events and extracting relations between them. The first task is well studied over various domains. In my thesis, I focus on the second task i.e. the extraction of relations between events. This task has been traditionally modeled as a pairwise classification task with handcrafted features. I suggest a neural network model, with ideas borrowed from models used to solve coreference resolution tasks, to solve this problem. I also suggest a structured prediction model for solving this task.

Share

COinS