Link to the University of Pittsburgh Homepage
Link to the University Library System Homepage Link to the Contact Us Form

Context-aware Argument Mining and Its Applications in Education

Nguyen, Huy (2018) Context-aware Argument Mining and Its Applications in Education. Doctoral Dissertation, University of Pittsburgh. (Unpublished)

Download (2MB) | Preview


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.


Social Networking:
Share |


Item Type: University of Pittsburgh ETD
Status: Unpublished
CreatorsEmailPitt UsernameORCID
Nguyen, Huyhvn3@pitt.eduHVN3
ETD Committee:
TitleMemberEmail AddressPitt UsernameORCID
Committee ChairLitman, Dianelitman@cs.pitt.edulitman
Committee MemberHwa, Rebeccahwa@cs.pitt.edureh23
Committee MemberKovashka, Adrianaaik85@pitt.eduaik85
Committee MemberAshley, Kevinashley@pitt.eduashley
Date: 31 January 2018
Date Type: Publication
Defense Date: 14 April 2017
Approval Date: 31 January 2018
Submission Date: 5 November 2017
Access Restriction: No restriction; Release the ETD for access worldwide immediately.
Number of Pages: 196
Institution: University of Pittsburgh
Schools and Programs: Dietrich School of Arts and Sciences > Computer Science
Degree: PhD - Doctor of Philosophy
Thesis Type: Doctoral Dissertation
Refereed: Yes
Uncontrolled Keywords: argument mining, topic context, context segment, automated essay scoring
Date Deposited: 31 Jan 2018 18:26
Last Modified: 31 Jan 2018 18:26


Monthly Views for the past 3 years

Plum Analytics

Actions (login required)

View Item View Item