@inproceedings{van-meersbergen-etal-2017-storyteller,
title = "{S}toryteller: Visual Analytics of Perspectives on Rich Text Interpretations",
author = "van Meersbergen, Maarten and
Vossen, Piek and
van der Zwaan, Janneke and
Fokkens, Antske and
van Hage, Willem and
Leemans, Inger and
Maks, Isa",
editor = "Popescu, Octavian and
Strapparava, Carlo",
booktitle = "Proceedings of the 2017 {EMNLP} Workshop: Natural Language Processing meets Journalism",
month = sep,
year = "2017",
address = "Copenhagen, Denmark",
publisher = "Association for Computational Linguistics",
url = "https://aclanthology.org/W17-4207",
doi = "10.18653/v1/W17-4207",
pages = "37--45",
abstract = "Complexity of event data in texts makes it difficult to assess its content, especially when considering larger collections in which different sources report on the same or similar situations. We present a system that makes it possible to visually analyze complex event and emotion data extracted from texts. We show that we can abstract from different data models for events and emotions to a single data model that can show the complex relations in four dimensions. The visualization has been applied to analyze 1) dynamic developments in how people both conceive and express emotions in theater plays and 2) how stories are told from the perspectyive of their sources based on rich event data extracted from news or biographies.",
}
<?xml version="1.0" encoding="UTF-8"?>
<modsCollection xmlns="http://www.loc.gov/mods/v3">
<mods ID="van-meersbergen-etal-2017-storyteller">
<titleInfo>
<title>Storyteller: Visual Analytics of Perspectives on Rich Text Interpretations</title>
</titleInfo>
<name type="personal">
<namePart type="given">Maarten</namePart>
<namePart type="family">van Meersbergen</namePart>
<role>
<roleTerm authority="marcrelator" type="text">author</roleTerm>
</role>
</name>
<name type="personal">
<namePart type="given">Piek</namePart>
<namePart type="family">Vossen</namePart>
<role>
<roleTerm authority="marcrelator" type="text">author</roleTerm>
</role>
</name>
<name type="personal">
<namePart type="given">Janneke</namePart>
<namePart type="family">van der Zwaan</namePart>
<role>
<roleTerm authority="marcrelator" type="text">author</roleTerm>
</role>
</name>
<name type="personal">
<namePart type="given">Antske</namePart>
<namePart type="family">Fokkens</namePart>
<role>
<roleTerm authority="marcrelator" type="text">author</roleTerm>
</role>
</name>
<name type="personal">
<namePart type="given">Willem</namePart>
<namePart type="family">van Hage</namePart>
<role>
<roleTerm authority="marcrelator" type="text">author</roleTerm>
</role>
</name>
<name type="personal">
<namePart type="given">Inger</namePart>
<namePart type="family">Leemans</namePart>
<role>
<roleTerm authority="marcrelator" type="text">author</roleTerm>
</role>
</name>
<name type="personal">
<namePart type="given">Isa</namePart>
<namePart type="family">Maks</namePart>
<role>
<roleTerm authority="marcrelator" type="text">author</roleTerm>
</role>
</name>
<originInfo>
<dateIssued>2017-09</dateIssued>
</originInfo>
<typeOfResource>text</typeOfResource>
<relatedItem type="host">
<titleInfo>
<title>Proceedings of the 2017 EMNLP Workshop: Natural Language Processing meets Journalism</title>
</titleInfo>
<name type="personal">
<namePart type="given">Octavian</namePart>
<namePart type="family">Popescu</namePart>
<role>
<roleTerm authority="marcrelator" type="text">editor</roleTerm>
</role>
</name>
<name type="personal">
<namePart type="given">Carlo</namePart>
<namePart type="family">Strapparava</namePart>
<role>
<roleTerm authority="marcrelator" type="text">editor</roleTerm>
</role>
</name>
<originInfo>
<publisher>Association for Computational Linguistics</publisher>
<place>
<placeTerm type="text">Copenhagen, Denmark</placeTerm>
</place>
</originInfo>
<genre authority="marcgt">conference publication</genre>
</relatedItem>
<abstract>Complexity of event data in texts makes it difficult to assess its content, especially when considering larger collections in which different sources report on the same or similar situations. We present a system that makes it possible to visually analyze complex event and emotion data extracted from texts. We show that we can abstract from different data models for events and emotions to a single data model that can show the complex relations in four dimensions. The visualization has been applied to analyze 1) dynamic developments in how people both conceive and express emotions in theater plays and 2) how stories are told from the perspectyive of their sources based on rich event data extracted from news or biographies.</abstract>
<identifier type="citekey">van-meersbergen-etal-2017-storyteller</identifier>
<identifier type="doi">10.18653/v1/W17-4207</identifier>
<location>
<url>https://aclanthology.org/W17-4207</url>
</location>
<part>
<date>2017-09</date>
<extent unit="page">
<start>37</start>
<end>45</end>
</extent>
</part>
</mods>
</modsCollection>
%0 Conference Proceedings
%T Storyteller: Visual Analytics of Perspectives on Rich Text Interpretations
%A van Meersbergen, Maarten
%A Vossen, Piek
%A van der Zwaan, Janneke
%A Fokkens, Antske
%A van Hage, Willem
%A Leemans, Inger
%A Maks, Isa
%Y Popescu, Octavian
%Y Strapparava, Carlo
%S Proceedings of the 2017 EMNLP Workshop: Natural Language Processing meets Journalism
%D 2017
%8 September
%I Association for Computational Linguistics
%C Copenhagen, Denmark
%F van-meersbergen-etal-2017-storyteller
%X Complexity of event data in texts makes it difficult to assess its content, especially when considering larger collections in which different sources report on the same or similar situations. We present a system that makes it possible to visually analyze complex event and emotion data extracted from texts. We show that we can abstract from different data models for events and emotions to a single data model that can show the complex relations in four dimensions. The visualization has been applied to analyze 1) dynamic developments in how people both conceive and express emotions in theater plays and 2) how stories are told from the perspectyive of their sources based on rich event data extracted from news or biographies.
%R 10.18653/v1/W17-4207
%U https://aclanthology.org/W17-4207
%U https://doi.org/10.18653/v1/W17-4207
%P 37-45
Markdown (Informal)
[Storyteller: Visual Analytics of Perspectives on Rich Text Interpretations](https://aclanthology.org/W17-4207) (van Meersbergen et al., 2017)
ACL
- Maarten van Meersbergen, Piek Vossen, Janneke van der Zwaan, Antske Fokkens, Willem van Hage, Inger Leemans, and Isa Maks. 2017. Storyteller: Visual Analytics of Perspectives on Rich Text Interpretations. In Proceedings of the 2017 EMNLP Workshop: Natural Language Processing meets Journalism, pages 37–45, Copenhagen, Denmark. Association for Computational Linguistics.