Toba, Hapnes and Adriani, Mirna and Manurung, Ruli (2011) Expected Answer Type Construction using Analogical Reasoning in a Question Answering Task. In: International Conference on Advanced Computer Science and Information System (ICACSIS), 17-18 December 2011.
|
Text
13.pdf - Published Version Download (1643Kb) | Preview |
Abstract
In a question answering system (QAS), question analysis component has an important task to determine the expected answer type (EAT) of a given question. Recently, there are a number of studies which investigates the influence of statistical relational framework to learn questionanswer pairs in particular component of a QAS. In this study, we propose an approach that utilizes the strength of statistical learning of question-answer pairs as a means to develop EAT patterns. In a question analysis experiment setting by using factoid testing questions from QA@CLEF 2008, our result outperforms the accuracy of manually constructed patterns of Open Ephyra (OE)1, with 84.17% against 81.67%.
| Item Type: | Conference or Workshop Item (Paper) |
|---|---|
| Subjects: | T Technology > T Technology (General) |
| Depositing User: | Perpustakaan Maranatha |
| Date Deposited: | 05 Oct 2018 09:55 |
| Last Modified: | 10 Oct 2018 10:12 |
| URI: | http://repository.maranatha.edu/id/eprint/24873 |
Actions (login required)
 |
View Item |
