Research
Computational Linguistics and Information Processing
Machine Translation
Summarization
Parsing and Tagging
Sentiment Analysis
Bayesian Modeling
| Cross‐language Bayesian models for Web‐scale text analysis using MapReduce | ||
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| PI | Jimmy Lin | |
| Other Faculty | Jordan Boyd-Graber, Philip Resnik | |
| Students | Lisa Simpson | |
| Funding | NSF 1018625 | |
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While I agree with Reviewer 3 that the experiments involve an admirable diversity of datasets (as compared to a typical NIPS paper), I personally don't feel that the contribution has been compellingly described or validated, and suspect on the basis of the presentation that the actual improvements are pretty marginal. I attached a confidence of 4 to my review partly because of the difficulty I had in assessing the precise contribution --- I read and write lots of structured generative models and it took several tries for me to get a sense for how exactly this paper differed from previous efforts --- and partly because I'm not in the trenches of jointly modeling text and relational data, so maybe somebody closer to those datasets would be more informed and therefore more impressed by the results as reported. | ||