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KDD
2005
ACM
153views Data Mining» more  KDD 2005»
14 years 8 months ago
Improving discriminative sequential learning with rare--but--important associations
Discriminative sequential learning models like Conditional Random Fields (CRFs) have achieved significant success in several areas such as natural language processing, information...
Xuan Hieu Phan, Minh Le Nguyen, Tu Bao Ho, Susumu ...
ICDM
2009
IEEE
233views Data Mining» more  ICDM 2009»
14 years 2 months ago
Semi-Supervised Sequence Labeling with Self-Learned Features
—Typical information extraction (IE) systems can be seen as tasks assigning labels to words in a natural language sequence. The performance is restricted by the availability of l...
Yanjun Qi, Pavel Kuksa, Ronan Collobert, Kunihiko ...
ICEBE
2007
IEEE
174views Business» more  ICEBE 2007»
14 years 1 months ago
Worksheet-Driven UMM Modeling of B2B Services
In the development process of a B2B system it is crucial that the business experts are able to express and evaluate agreements and commitments between the partners and that the so...
Christian Huemer, Marco Zapletal, Philipp Liegl, R...
BIRTHDAY
2009
Springer
13 years 8 months ago
Towards the Automatic Acquisition of a Valence Dictionary for Polish
This article presents the evaluation of a valence dictionary for Polish produced with the help of shallow parsing techniques and compares those results to earlier results involving...
Adam Przepiórkowski
CORR
2007
Springer
160views Education» more  CORR 2007»
13 years 7 months ago
How really effective are Multimodal Hints in enhancing Visual Target Spotting? Some evidence from a usability study
The main aim of the work presented here is to contribute to computer science advances in the multimodal usability area, in-as-much as it addresses one of the major issues relating...
Suzanne Kieffer, Noelle Carbonell