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EMNLP
2007

Semi-Markov Models for Sequence Segmentation

9 years 2 months ago
Semi-Markov Models for Sequence Segmentation
In this paper, we study the problem of automatically segmenting written text into paragraphs. This is inherently a sequence labeling problem, however, previous approaches ignore this dependency. We propose a novel approach for automatic paragraph segmentation, namely training Semi-Markov models discriminatively using a Max-Margin method. This method allows us to model the sequential nature of the problem and to incorporate features of a whole paragraph, such as paragraph coherence which cannot be used in previous models. Experimental evaluation on four text corpora shows improvement over the previous state-of-the art method on this task.
Qinfeng Shi, Yasemin Altun, Alex J. Smola, S. V. N
Added 29 Oct 2010
Updated 29 Oct 2010
Type Conference
Year 2007
Where EMNLP
Authors Qinfeng Shi, Yasemin Altun, Alex J. Smola, S. V. N. Vishwanathan
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