Name
Title | ||
|---|---|---|
A deep learning approach for predicting the quality of online health expert question-answering services. |
Abstract | ||
|---|---|---|
•Preparing the first HQA dataset for research usage.•Defining a set of criteria to label the quality of an answer in a HQA system.•Introducing a set of unique non-textual features.•Proposing a multimodal deep learning framework to learn the semantic embedding. |
Year | DOI | Venue |
|---|---|---|
2017 | 10.1016/j.jbi.2017.06.012 | Journal of Biomedical Informatics |
Keywords | DocType | Volume |
Deep learning,Surface linguistic features,Multimodal learning,Deep belief network,Online health expert question-answering services,Social features | Journal | 71 |
ISSN | Citations | PageRank |
1532-0464 | 3 | 0.36 |
References | Authors | |
53 | 5 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Ze Hu | 1 | 3 | 1.04 |
| Zhan Zhang | 2 | 6 | 4.13 |
| Haiqin Yang | 3 | 1010 | 51.97 |
| Qing Chen | 4 | 54 | 7.63 |
| De-Cheng Zuo | 5 | 86 | 18.87 |