31.1632, Confs: Comp Ling/Online

[The LINGUIST List]

LINGUIST List: Vol-31-1632. Fri May 15 2020. ISSN: 1069 - 4875.

Subject: 31.1632, Confs: Comp Ling/Online

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Date: Fri, 15 May 2020 11:35:10
From: Vanni Zavarella [vanni.zavarella at ec.europa.eu]
Subject: Workshop on Automated Extraction of Socio-political Events from News

 
Workshop on Automated Extraction of Socio-political Events from News 
Short Title: AESPEN at LREC2020 

Date: 09-Jun-2020 - 11-Jun-2020 
Location: Marseille, France 
Contact: Vanni Zavarella 
Contact Email: vanni.zavarella at ec.europa.eu 
Meeting URL: https://emw.ku.edu.tr/aespen-2020/ 

Linguistic Field(s): Computational Linguistics 

Meeting Description: 

The #LREC2020 workshop Automated Extraction of Socio-political Events from
News (AESPEN) with shared task on Event Sentence Coreference Identification
will be online on June 9-11, 11:00 and 13:00 UTC each day. Register at
https://emw.ku.edu.tr/aespen2020-register. Proceedings:
https://lrec2020.lrec-conf.org/media/proceedings/Workshops/Books/AESPEN2020boo
k.pdf

Automatic Extraction of Socio Political Events from News (AESPEN) is a
workshop, which promotes the advances and synergies in the field of detection
of socio-political events, creation of new event datasets, developments of new
approaches and systems, based on state-of-the art machine learning (ML) and
Natural Language Processing (NLP) technologies in the scope of Language
Resources and Evaluation Conference (LREC 2020).
 

Program Information: 

AESPEN features several main types of contributions that  are about a shared
task on Event Sentence Coreference Identification organized in the scope of
the workshop, papers on evaluating state-of-the-art machine learning models on
event information collection tasks, event information collection projects,
language resources, and forecasting conflict using available event datasets.
The leading researchers in socio-political event information collection Prof.
Clionadh Raleigh and Prof. Philip Schrodt will be addressing the keynotes.

Our workshop will provide a venue for discussing the creation and facilitation
of language resources in the social and political sciences domain. Social and
political scientists will be interested in reporting and discussing their
automated tools in comparison to their traditional coding approaches.
Computational linguistics and machine learning practitioners and researchers
will benefit from being challenged by real-world use cases such  as event data
extraction, representation, and aggregation. Please find the proceedings on
https://lrec2020.lrec-conf.org/media/proceedings/Workshops/Books/AESPEN2020boo
k.pdf.

The registration for the workshop is FREE. Please register using the form on
https://emw.ku.edu.tr/aespen2020-register. The homepage of the workshop
contains any  other detail and will be updated regularly. You can reach us
using the e-mail addresses ahurriyetoglu at ku.edu.tr and
vanni.vanni.zavarella at ec.europa.eu.





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LINGUIST List: Vol-31-1632	
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