995 search results - page 5 / 199 » Learning for Sequence Extraction Tasks |
KESAMSTA
2010
Springer
14 years 8 days ago
2010
Springer
Abstract. In Multi-Agent System, observing other agents and modelling their behaviour represents an essential task: agents must be able to quickly adapt to the environment and infe...
IJCAI
2007
13 years 9 months ago
2007
A key challenge in applying kernel-based methods for discriminative learning is to identify a suitable kernel given a problem domain. Many methods instead transform the input data...
COLING
2008
13 years 9 months ago
2008
This paper discusses local alignment kernels in the context of the relation extraction task. We define a local alignment kernel based on the Smith-Waterman measure as a sequence s...
CLOR
2006
13 years 11 months ago
2006
Abstract. A popular framework for the interpretation of image sequences is the layers or sprite model, see e.g. [1], [2]. Jojic and Frey [3] provide a generative probabilistic mode...
ACL
2012
11 years 10 months ago
2012
This paper presents a novel sequence labeling model based on the latent-variable semiMarkov conditional random fields for jointly extracting argument roles of events from texts. ...