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ECIR
2007
Springer
15 years 8 months ago
Probabilistic Models for Expert Finding
A common task in many applications is to find persons who are knowledgeable about a given topic (i.e., expert finding). In this paper, we propose and develop a general probabilis...
Hui Fang, ChengXiang Zhai
EACL
2006
ACL Anthology
15 years 8 months ago
Exploiting Shallow Linguistic Information for Relation Extraction from Biomedical Literature
We propose an approach for extracting relations between entities from biomedical literature based solely on shallow linguistic information. We use a combination of kernel function...
Claudio Giuliano, Alberto Lavelli, Lorenza Romano
EACL
2006
ACL Anthology
15 years 8 months ago
Online Learning of Approximate Dependency Parsing Algorithms
In this paper we extend the maximum spanning tree (MST) dependency parsing framework of McDonald et al. (2005c) to incorporate higher-order feature representations and allow depen...
Ryan T. McDonald, Fernando C. N. Pereira
EACL
2003
ACL Anthology
15 years 8 months ago
A Comparison of Event Models for Naive Bayes Anti-Spam E-Mail Filtering
We describe experiments with a Naive Bayes text classifier in the context of anti-spam E-mail filtering, using two different statistical event models: a multi-variate Bernoulli ...
Karl-Michael Schneider
IAAI
2003
15 years 8 months ago
Building Agents for the Customer Service Front
AI has the potential to play an important role in the customer service field. By leveraging the high bandwidth of natural language customers will be able to state their intentions...
Mihai Barbuceanu, Mark S. Fox, Lei Hong, Yannick L...