Loading...
Please wait, while we are loading the content...
Similar Documents
Learning thread reply structure on patient forums
| Content Provider | ACM Digital Library |
|---|---|
| Author | Chen, Yi Chen, Feng Liu, Yunzhong |
| Abstract | The thread reply structure on patient forums is important for users and automated techniques to understand the discussion content and search information effectively. However, most online patient forums only have partially labeled structures. In patient forums, the discussions by patients and caregivers contain abundance of person references, which provide strong indication of the thread reply structure. In this paper, we propose using person reference resolution, combined with a statistical machine learning model, to learn the unknown thread structure on patient forums. Our preliminary performance evaluation has verified the effectiveness of the proposed approaches. |
| Starting Page | 1 |
| Ending Page | 4 |
| Page Count | 4 |
| File Format | |
| ISBN | 9781450324250 |
| DOI | 10.1145/2512410.2512426 |
| Language | English |
| Publisher | Association for Computing Machinery (ACM) |
| Publisher Date | 2013-11-01 |
| Publisher Place | New York |
| Access Restriction | Subscribed |
| Subject Keyword | Machine learning. Person resolution Healthcare informatics Patient forums Thread reply structure |
| Content Type | Text |
| Resource Type | Article |
