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        <title>From News to Medical: Cross-domain Discourse Segmentation</title>
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            <title>Proceedings of the Workshop on Discourse Relation Parsing and Treebanking 2019</title>
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            <namePart type="given">Amir</namePart>
            <namePart type="family">Zeldes</namePart>
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    <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.</abstract>
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    <identifier type="doi">10.18653/v1/W19-2704</identifier>
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%0 Conference Proceedings
%T From News to Medical: Cross-domain Discourse Segmentation
%A Ferracane, Elisa
%A Page, Titan
%A Li, Junyi Jessy
%A Erk, Katrin
%Y Zeldes, Amir
%Y Das, Debopam
%Y Galani, Erick Maziero
%Y Antonio, Juliano Desiderato
%Y Iruskieta, Mikel
%S Proceedings of the Workshop on Discourse Relation Parsing and Treebanking 2019
%D 2019
%8 June
%I Association for Computational Linguistics
%C Minneapolis, MN
%F ferracane-etal-2019-news
%X 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.
%R 10.18653/v1/W19-2704
%U https://aclanthology.org/W19-2704
%U https://doi.org/10.18653/v1/W19-2704
%P 22-29

Markdown (Informal)

[From News to Medical: Cross-domain Discourse Segmentation](https://aclanthology.org/W19-2704) (Ferracane et al., NAACL 2019)

• From News to Medical: Cross-domain Discourse Segmentation (Ferracane et al., NAACL 2019)

ACL

• Elisa Ferracane, Titan Page, Junyi Jessy Li, and Katrin Erk. 2019. From News to Medical: Cross-domain Discourse Segmentation. In Proceedings of the Workshop on Discourse Relation Parsing and Treebanking 2019, pages 22–29, Minneapolis, MN. Association for Computational Linguistics.