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ICML
2001
IEEE
14 years 11 months ago
Conditional Random Fields: Probabilistic Models for Segmenting and Labeling Sequence Data
We present conditional random fields, a framework for building probabilistic models to segment and label sequence data. Conditional random fields offer several advantages over hid...
John D. Lafferty, Andrew McCallum, Fernando C. N. ...
WWW
2005
ACM
14 years 10 months ago
Applying NavOptim to minimise navigational effort
A major factor in the effectiveness of the interaction which users have with Web applications is the ease with which they can locate information and functionality which they are s...
David Lowe, Xiaoying Kong
WWW
2003
ACM
14 years 10 months ago
A new paradigm for ranking pages on the world wide web
This paper describes a new paradigm for modeling traffic levels on the world wide web (WWW) using a method of entropy maximization. This traffic is subject to the conservation con...
John A. Tomlin
ICDM
2007
IEEE
199views Data Mining» more  ICDM 2007»
14 years 4 months ago
Discovering Structural Anomalies in Graph-Based Data
The ability to mine data represented as a graph has become important in several domains for detecting various structural patterns. One important area of data mining is anomaly det...
William Eberle, Lawrence B. Holder
DAARC
2007
Springer
86views Algorithms» more  DAARC 2007»
14 years 4 months ago
Evaluating Hybrid Versus Data-Driven Coreference Resolution
Abstract. In this paper, we present a systematic evaluation of a hybrid approach of combined rule-based filtering and machine learning to Dutch coreference resolution. Through the...
Iris Hendrickx, Véronique Hoste, Walter Dae...