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        <title>Text Segmentation as a Supervised Learning Task</title>
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    <abstract>Text segmentation, the task of dividing a document into contiguous segments based on its semantic structure, is a longstanding challenge in language understanding. Previous work on text segmentation focused on unsupervised methods such as clustering or graph search, due to the paucity in labeled data. In this work, we formulate text segmentation as a supervised learning problem, and present a large new dataset for text segmentation that is automatically extracted and labeled from Wikipedia. Moreover, we develop a segmentation model based on this dataset and show that it generalizes well to unseen natural text.</abstract>
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%0 Conference Proceedings
%T Text Segmentation as a Supervised Learning Task
%A Koshorek, Omri
%A Cohen, Adir
%A Mor, Noam
%A Rotman, Michael
%A Berant, Jonathan
%Y Walker, Marilyn
%Y Ji, Heng
%Y Stent, Amanda
%S Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 2 (Short Papers)
%D 2018
%8 June
%I Association for Computational Linguistics
%C New Orleans, Louisiana
%F koshorek-etal-2018-text
%X Text segmentation, the task of dividing a document into contiguous segments based on its semantic structure, is a longstanding challenge in language understanding. Previous work on text segmentation focused on unsupervised methods such as clustering or graph search, due to the paucity in labeled data. In this work, we formulate text segmentation as a supervised learning problem, and present a large new dataset for text segmentation that is automatically extracted and labeled from Wikipedia. Moreover, we develop a segmentation model based on this dataset and show that it generalizes well to unseen natural text.
%R 10.18653/v1/N18-2075
%U https://aclanthology.org/N18-2075/
%U https://doi.org/10.18653/v1/N18-2075
%P 469-473

Markdown (Informal)

[Text Segmentation as a Supervised Learning Task](https://aclanthology.org/N18-2075/) (Koshorek et al., NAACL 2018)

• Text Segmentation as a Supervised Learning Task (Koshorek et al., NAACL 2018)

ACL

• Omri Koshorek, Adir Cohen, Noam Mor, Michael Rotman, and Jonathan Berant. 2018. Text Segmentation as a Supervised Learning Task. In Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 2 (Short Papers), pages 469–473, New Orleans, Louisiana. Association for Computational Linguistics.