F
Fernando Pereira
Researcher at Google
Publications - 188
Citations - 62035
Fernando Pereira is an academic researcher from Google. The author has contributed to research in topics: Language model & Natural language. The author has an hindex of 80, co-authored 180 publications receiving 58038 citations. Previous affiliations of Fernando Pereira include University of Pennsylvania & SRI International.
Papers
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Proceedings Article
Conditional Random Fields: Probabilistic Models for Segmenting and Labeling Sequence Data
TL;DR: This work presents iterative parameter estimation algorithms for conditional random fields and compares the performance of the resulting models to HMMs and MEMMs on synthetic and natural-language data.
Journal ArticleDOI
A theory of learning from different domains
Shai Ben-David,John Blitzer,Koby Crammer,Alex Kulesza,Fernando Pereira,Jennifer Wortman Vaughan +5 more
TL;DR: A classifier-induced divergence measure that can be estimated from finite, unlabeled samples from the domains and shows how to choose the optimal combination of source and target error as a function of the divergence, the sample sizes of both domains, and the complexity of the hypothesis class.
The information bottleneck method
TL;DR: The variational principle provides a surprisingly rich framework for discussing a variety of problems in signal processing and learning, as will be described in detail elsewhere.
Proceedings Article
Biographies, Bollywood, Boom-boxes and Blenders: Domain Adaptation for Sentiment Classification
TL;DR: This work extends to sentiment classification the recently-proposed structural correspondence learning (SCL) algorithm, reducing the relative error due to adaptation between domains by an average of 30% over the original SCL algorithm and 46% over a supervised baseline.