Context-aware Argument Mining and Its Applications in Education

Type PhD Dissertation Defense
Start Date April 14, 2017 02:00 PM
End Date April 14, 2017 04:00 PM
Location 5317 Sennott Square
Organizer Name
Speaker Name Huy Nguyen
Speaker Affiliation University of Pittsburgh Ph.D. Candidate
Abstract Context is crucial for identifying arguments and argumentative relations in text, but existing
argument studies have not addressed context dependence adequately. In this thesis, we
propose context-aware argument mining that makes use of contextual features extracted
from writing topics and context sentences to improve state-of-the-art argument component
and argumentative relation classifications. The effectiveness as well as generality of our
proposed contextual features is proven through its application in different argument mining
tasks in student essays. We further evaluate the applicability of our proposed argument
mining models in automated persuasive essay scoring tasks.
Committee Diane Litman - Pitt CS
Rebecca Hwa - Pitt CS
Adriana Kovashka - Pitt CS
Kevin Ashley - Pitt Law