License: Creative Commons Attribution 4.0 International license (CC BY 4.0)
When quoting this document, please refer to the following
DOI: 10.4230/OASIcs.LDK.2021.40
URN: urn:nbn:de:0030-drops-145769
URL: http://dagstuhl.sunsite.rwth-aachen.de/volltexte/2021/14576/
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Chiarcos, Christian ; Ionov, Maxim

Linking Discourse Marker Inventories

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OASIcs-LDK-2021-40.pdf (1 MB)

Abstract

The paper describes the first comprehensive edition of machine-readable discourse marker lexicons. Discourse markers such as and, because, but, though or thereafter are essential communicative signals in human conversation, as they indicate how an utterance relates to its communicative context. As much of this information is implicit or expressed differently in different languages, discourse parsing, context-adequate natural language generation and machine translation are considered particularly challenging aspects of Natural Language Processing. Providing this data in machine-readable, standard-compliant form will thus facilitate such technical tasks, and moreover, allow to explore techniques for translation inference to be applied to this particular group of lexical resources that was previously largely neglected in the context of Linguistic Linked (Open) Data.

BibTeX - Entry

@InProceedings{chiarcos_et_al:OASIcs.LDK.2021.40,
  author =	{Chiarcos, Christian and Ionov, Maxim},
  title =	{{Linking Discourse Marker Inventories}},
  booktitle =	{3rd Conference on Language, Data and Knowledge (LDK 2021)},
  pages =	{40:1--40:15},
  series =	{Open Access Series in Informatics (OASIcs)},
  ISBN =	{978-3-95977-199-3},
  ISSN =	{2190-6807},
  year =	{2021},
  volume =	{93},
  editor =	{Gromann, Dagmar and S\'{e}rasset, Gilles and Declerck, Thierry and McCrae, John P. and Gracia, Jorge and Bosque-Gil, Julia and Bobillo, Fernando and Heinisch, Barbara},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops.dagstuhl.de/opus/volltexte/2021/14576},
  URN =		{urn:nbn:de:0030-drops-145769},
  doi =		{10.4230/OASIcs.LDK.2021.40},
  annote =	{Keywords: discourse processing, discourse markers, linked data, OntoLex, OLiA}
}

Keywords: discourse processing, discourse markers, linked data, OntoLex, OLiA
Collection: 3rd Conference on Language, Data and Knowledge (LDK 2021)
Issue Date: 2021
Date of publication: 30.08.2021
Supplementary Material: Software (Source Code): https://github.com/acoli-repo/rdf4discourse

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