Conditional Random Fields: An Introduction

By Hanna M. Wallach. 2004

406 citations recorded by the source corpus.

View Paper: https://www.semanticscholar.org/paper/7551754581e7e823d0633f3af604e5ed76ecc665

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

1. Christopher R'e
2. Arun Kumar
3. Sanjay Krishnan
4. Robert Leaman
5. Ce Zhang
6. Xixuan Feng
7. B. Recht
8. Joseph M Hellerstein

Citations in the corpus

• Towards a unified architecture for in-RDBMS analytics (2012, background): “In the Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page.”
• BANNER: An Executable Survey of Advances in Biomedical Named Entity Recognition (2007, background): “There are several good introductions to conditional random fields, such as [14] and [18].”
• The MADlib Analytics Library or MAD Skills, the SQL (2012, background): “To achieve high quality, CRF methods often assign hundreds of features to each token in the document.”