Using a Bayesian Model to Combine LDA Features with Crowdsourced Responses.
Edwin Simpson|Steven Reece|Antonio Penta|Sarvapali D. Ramchurn
| Anthology ID: | DBLP:conf/trec/SimpsonRPR12 |
|---|---|
| Volume: | Proceedings of The Twenty-First Text REtrieval Conference, TREC 2012, Gaithersburg, Maryland, USA, November 6-9, 2012 |
| Year: | 2012 |
| Venue: | Text Retrieval Conference (TREC) |
| Publisher: | National Institute of Standards and Technology (NIST) |
| URL: | http://trec.nist.gov/pubs/trec21/papers/HAC.crowd.final.pdf |
| DBLP: | conf/trec/SimpsonRPR12 |
| BibTeX: |
@inproceedings{simpson-2012-using,
author = {Edwin Simpson and
Steven Reece and
Antonio Penta and
Sarvapali D. Ramchurn},
editor = {Ellen M. Voorhees and
Lori P. Buckland},
title = {{Using a Bayesian Model to Combine LDA Features with Crowdsourced Responses}},
booktitle = {{Proceedings of The Twenty-First Text REtrieval Conference, TREC 2012, Gaithersburg, Maryland, USA, November 6-9, 2012}},
series = {NIST Special Publication},
volume = {500-298},
publisher = {National Institute of Standards and Technology (NIST)},
year = {2012},
url = {http://trec.nist.gov/pubs/trec21/papers/HAC.crowd.final.pdf}
}