@inproceedings{oleksy-etal-2022-diabiz,
title = "{D}ia{B}iz.{K}om - towards a {P}olish Dialogue Act Corpus Based on {ISO} 24617-2 Standard",
author = "Oleksy, Marcin and
Wieczorek, Jan and
Dru{\.z}y{\l}owska, Dorota and
Klyus, Julia and
Domoga{\l}a, Aleksandra and
Hwaszcz, Krzysztof and
K{\k{e}}dzierska, Hanna and
Miko{\'s}, Daria and
Wr{\'o}{\.z}, Anita",
booktitle = "Proceedings of the 29th International Conference on Computational Linguistics",
month = oct,
year = "2022",
address = "Gyeongju, Republic of Korea",
publisher = "International Committee on Computational Linguistics",
url = "https://aclanthology.org/2022.coling-1.320",
pages = "3631--3638",
abstract = "This article presents the specification and evaluation of DiaBiz.Kom {--} the corpus of dialogue texts in Polish. The corpus contains transcriptions of telephone conversations conducted according to a prepared scenario. The transcripts of conversations have been manually annotated with a layer of information concerning communicative functions. DiaBiz.Kom is the first corpus of this type prepared for the Polish language and will be used to develop a system of dialog analysis and modules for creating advanced chatbots.",
}
<?xml version="1.0" encoding="UTF-8"?>
<modsCollection xmlns="http://www.loc.gov/mods/v3">
<mods ID="oleksy-etal-2022-diabiz">
<titleInfo>
<title>DiaBiz.Kom - towards a Polish Dialogue Act Corpus Based on ISO 24617-2 Standard</title>
</titleInfo>
<name type="personal">
<namePart type="given">Marcin</namePart>
<namePart type="family">Oleksy</namePart>
<role>
<roleTerm authority="marcrelator" type="text">author</roleTerm>
</role>
</name>
<name type="personal">
<namePart type="given">Jan</namePart>
<namePart type="family">Wieczorek</namePart>
<role>
<roleTerm authority="marcrelator" type="text">author</roleTerm>
</role>
</name>
<name type="personal">
<namePart type="given">Dorota</namePart>
<namePart type="family">Drużyłowska</namePart>
<role>
<roleTerm authority="marcrelator" type="text">author</roleTerm>
</role>
</name>
<name type="personal">
<namePart type="given">Julia</namePart>
<namePart type="family">Klyus</namePart>
<role>
<roleTerm authority="marcrelator" type="text">author</roleTerm>
</role>
</name>
<name type="personal">
<namePart type="given">Aleksandra</namePart>
<namePart type="family">Domogała</namePart>
<role>
<roleTerm authority="marcrelator" type="text">author</roleTerm>
</role>
</name>
<name type="personal">
<namePart type="given">Krzysztof</namePart>
<namePart type="family">Hwaszcz</namePart>
<role>
<roleTerm authority="marcrelator" type="text">author</roleTerm>
</role>
</name>
<name type="personal">
<namePart type="given">Hanna</namePart>
<namePart type="family">Kędzierska</namePart>
<role>
<roleTerm authority="marcrelator" type="text">author</roleTerm>
</role>
</name>
<name type="personal">
<namePart type="given">Daria</namePart>
<namePart type="family">Mikoś</namePart>
<role>
<roleTerm authority="marcrelator" type="text">author</roleTerm>
</role>
</name>
<name type="personal">
<namePart type="given">Anita</namePart>
<namePart type="family">Wróż</namePart>
<role>
<roleTerm authority="marcrelator" type="text">author</roleTerm>
</role>
</name>
<originInfo>
<dateIssued>2022-10</dateIssued>
</originInfo>
<typeOfResource>text</typeOfResource>
<relatedItem type="host">
<titleInfo>
<title>Proceedings of the 29th International Conference on Computational Linguistics</title>
</titleInfo>
<originInfo>
<publisher>International Committee on Computational Linguistics</publisher>
<place>
<placeTerm type="text">Gyeongju, Republic of Korea</placeTerm>
</place>
</originInfo>
<genre authority="marcgt">conference publication</genre>
</relatedItem>
<abstract>This article presents the specification and evaluation of DiaBiz.Kom – the corpus of dialogue texts in Polish. The corpus contains transcriptions of telephone conversations conducted according to a prepared scenario. The transcripts of conversations have been manually annotated with a layer of information concerning communicative functions. DiaBiz.Kom is the first corpus of this type prepared for the Polish language and will be used to develop a system of dialog analysis and modules for creating advanced chatbots.</abstract>
<identifier type="citekey">oleksy-etal-2022-diabiz</identifier>
<location>
<url>https://aclanthology.org/2022.coling-1.320</url>
</location>
<part>
<date>2022-10</date>
<extent unit="page">
<start>3631</start>
<end>3638</end>
</extent>
</part>
</mods>
</modsCollection>
%0 Conference Proceedings
%T DiaBiz.Kom - towards a Polish Dialogue Act Corpus Based on ISO 24617-2 Standard
%A Oleksy, Marcin
%A Wieczorek, Jan
%A Drużyłowska, Dorota
%A Klyus, Julia
%A Domogała, Aleksandra
%A Hwaszcz, Krzysztof
%A Kędzierska, Hanna
%A Mikoś, Daria
%A Wróż, Anita
%S Proceedings of the 29th International Conference on Computational Linguistics
%D 2022
%8 October
%I International Committee on Computational Linguistics
%C Gyeongju, Republic of Korea
%F oleksy-etal-2022-diabiz
%X This article presents the specification and evaluation of DiaBiz.Kom – the corpus of dialogue texts in Polish. The corpus contains transcriptions of telephone conversations conducted according to a prepared scenario. The transcripts of conversations have been manually annotated with a layer of information concerning communicative functions. DiaBiz.Kom is the first corpus of this type prepared for the Polish language and will be used to develop a system of dialog analysis and modules for creating advanced chatbots.
%U https://aclanthology.org/2022.coling-1.320
%P 3631-3638
Markdown (Informal)
[DiaBiz.Kom - towards a Polish Dialogue Act Corpus Based on ISO 24617-2 Standard](https://aclanthology.org/2022.coling-1.320) (Oleksy et al., COLING 2022)
ACL
- Marcin Oleksy, Jan Wieczorek, Dorota Drużyłowska, Julia Klyus, Aleksandra Domogała, Krzysztof Hwaszcz, Hanna Kędzierska, Daria Mikoś, and Anita Wróż. 2022. DiaBiz.Kom - towards a Polish Dialogue Act Corpus Based on ISO 24617-2 Standard. In Proceedings of the 29th International Conference on Computational Linguistics, pages 3631–3638, Gyeongju, Republic of Korea. International Committee on Computational Linguistics.