Building a corpus and developing a question classifier to support messaging-based question answering

Authors:
Adam Kurmally;Barbara Di Eugenio;Charles E. Kahn, Jr.;Susan McRoy
Affiliations:
University of Wisconsin - Milwaukee, Milwaukee, WI, USA;University of Illinois at Chicago, Chicago, WI, USA;Medical College of Wisconsin, Milwaukee, WI, USA;University of Wisconsin - Milwaukee, Milwaukee, WI, USA
Venue:
Proceedings of the 1st ACM International Health Informatics Symposium
Year:
2010

Citing 4
Cited 1

Machine learning in automated text categorization

ACM Computing Surveys (CSUR)
Learning question classifiers

COLING '02 Proceedings of the 19th international conference on Computational linguistics - Volume 1
Learning question classifiers: the role of semantic information

Natural Language Engineering
Multi-perspective question answering using the OpQA corpus

HLT '05 Proceedings of the conference on Human Language Technology and Empirical Methods in Natural Language Processing

An open architecture for messaging-based consumer-health question-answering

Proceedings of the 2nd ACM SIGHIT International Health Informatics Symposium

Quantified Score

Hi-index	0.00

Visualization

Abstract

We are investigating question classification for restricted domains with the broader goal of supporting mixed-initiative interaction on mobile phones. In this paper, we discuss the development of a new domain-specific corpus of cancer-related questions and our efforts toward training a classifier. This work includes the development of a new taxonomy of expected answer types that we have been evaluating. Our goal is to create software to engage newly diagnosed prostate cancer patients in question-answering dialogs related to their treatment options. We are focusing our work on the interaction environment afforded by text and multimedia (SMS and MMS) messaging using mobile telephones, because of the prevalence of this technology and the growing popularity of text messaging, especially among underserved populations. This work is interesting from a user interface and communication standpoint because, despite this growing popularity, there has been little formal study of this type of interactive communication.