Abstract
Online forum discussions often contain vast
amounts of questions that are the focuses of
discussions. Extracting contexts and answers
together with the questions will yield not only
a coherent forum summary but also a valuable
QA knowledge base. In this paper, we
propose a general framework based on Conditional
Random Fields (CRFs) to detect the
contexts and answers of questions from forum
threads. We improve the basic framework by
Skip-chain CRFs and 2D CRFs to better accommodate
the features of forums for better
performance. Experimental results show that
our techniques are very promising.
amounts of questions that are the focuses of
discussions. Extracting contexts and answers
together with the questions will yield not only
a coherent forum summary but also a valuable
QA knowledge base. In this paper, we
propose a general framework based on Conditional
Random Fields (CRFs) to detect the
contexts and answers of questions from forum
threads. We improve the basic framework by
Skip-chain CRFs and 2D CRFs to better accommodate
the features of forums for better
performance. Experimental results show that
our techniques are very promising.
| Originalsprog | Engelsk |
|---|---|
| Titel | Proceedings of ACL-08: HLT |
| Redaktører | Johanna D. Moore, Simone Teufel, James Allan, Sadaoki Furui |
| Antal sider | 9 |
| Forlag | Association for Computational Linguistics |
| Publikationsdato | 2008 |
| Sider | 710-718 |
| ISBN (Trykt) | 978-1-932432-06-0 |
| Status | Udgivet - 2008 |
| Begivenhed | The 46th Annual Meeting of the Association for Computational Linguistics - Columbus, USA Varighed: 15 jun. 2008 → 20 jun. 2008 |
Konference
| Konference | The 46th Annual Meeting of the Association for Computational Linguistics |
|---|---|
| Land/Område | USA |
| By | Columbus |
| Periode | 15/06/2008 → 20/06/2008 |