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From News to Medical: Cross-domain Discourse Segmentation
April 14, 2019 ยท Declared Dead ยท ๐ North American Chapter of the Association for Computational Linguistics
"No code URL or promise found in abstract"
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Authors
Elisa Ferracane, Titan Page, Junyi Jessy Li, Katrin Erk
arXiv ID
1904.06682
Category
cs.CL: Computation & Language
Citations
4
Venue
North American Chapter of the Association for Computational Linguistics
Last Checked
4 months ago
Abstract
The first step in discourse analysis involves dividing a text into segments. We annotate the first high-quality small-scale medical corpus in English with discourse segments and analyze how well news-trained segmenters perform on this domain. While we expectedly find a drop in performance, the nature of the segmentation errors suggests some problems can be addressed earlier in the pipeline, while others would require expanding the corpus to a trainable size to learn the nuances of the medical domain.
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