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        <title>An automatic discourse relation alignment experiment on TED-MDB</title>
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    <name type="personal">
        <namePart type="given">Sibel</namePart>
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            <title>Proceedings of the 2019 Workshop on Widening NLP</title>
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    <abstract>This paper describes an automatic discourse relation alignment experiment as an empirical justification of the planned annotation projection approach to enlarge the 3600-word multilingual corpus of TED Multilingual Discourse Bank (TED-MDB). The experiment is carried out on a single language pair (English-Turkish) included in TED-MDB. The paper first describes the creation of a large corpus of English-Turkish bi-sentences, then it presents a sense-based experiment that automatically aligns the relations in the English sentences of TED-MDB with the Turkish sentences. The results are very close to the results obtained from an earlier semi-automatic post-annotation alignment experiment validated by human annotators and are encouraging for future annotation projection tasks.</abstract>
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%0 Conference Proceedings
%T An automatic discourse relation alignment experiment on TED-MDB
%A Ozer, Sibel
%A Zeyrek, Deniz
%Y Axelrod, Amittai
%Y Yang, Diyi
%Y Cunha, Rossana
%Y Shaikh, Samira
%Y Waseem, Zeerak
%S Proceedings of the 2019 Workshop on Widening NLP
%D 2019
%8 August
%I Association for Computational Linguistics
%C Florence, Italy
%F ozer-zeyrek-2019-automatic
%X This paper describes an automatic discourse relation alignment experiment as an empirical justification of the planned annotation projection approach to enlarge the 3600-word multilingual corpus of TED Multilingual Discourse Bank (TED-MDB). The experiment is carried out on a single language pair (English-Turkish) included in TED-MDB. The paper first describes the creation of a large corpus of English-Turkish bi-sentences, then it presents a sense-based experiment that automatically aligns the relations in the English sentences of TED-MDB with the Turkish sentences. The results are very close to the results obtained from an earlier semi-automatic post-annotation alignment experiment validated by human annotators and are encouraging for future annotation projection tasks.
%U https://aclanthology.org/W19-3612
%P 31-34

Markdown (Informal)

[An automatic discourse relation alignment experiment on TED-MDB](https://aclanthology.org/W19-3612) (Ozer & Zeyrek, WiNLP 2019)

• An automatic discourse relation alignment experiment on TED-MDB (Ozer & Zeyrek, WiNLP 2019)

ACL

• Sibel Ozer and Deniz Zeyrek. 2019. An automatic discourse relation alignment experiment on TED-MDB. In Proceedings of the 2019 Workshop on Widening NLP, pages 31–34, Florence, Italy. Association for Computational Linguistics.