31.341, Calls: Comp Ling, Text/Corpus Ling / France
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LINGUIST List: Vol-31-341. Thu Jan 23 2020. ISSN: 1069 - 4875.
Subject: 31.341, Calls: Comp Ling, Text/Corpus Ling / France
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Date: Thu, 23 Jan 2020 14:18:16
From: Vanni Zavarella [vanni.zavarella at ec.europa.eu]
Subject: Automated Extraction of Socio-political Events from News @ LREC 2020
Full Title: Automated Extraction of Socio-political Events from News @ LREC 2020
Short Title: AESPEN
Date: 12-May-2020 - 12-May-2020
Location: Marseille, France
Contact Person: Vanni Zavarella
Meeting Email: vanni.zavarella at ec.europa.eu
Web Site: https://emw.ku.edu.tr/aespen-2020/
Linguistic Field(s): Computational Linguistics; Text/Corpus Linguistics
Call Deadline: 22-Feb-2020
Meeting Description:
Automatic construction of event databases has long been a challenge for the
natural language processing (NLP) community in terms of algorithmic approaches
and language resources. At the same time, social and political scientists have
been working on creating socio-political event databases for decades using
manual, semi-automatic, and automatic approaches. However, the results yielded
by these approaches to date are either not of sufficient quality or require
tremendous effort to be replicated on new data. On the one hand, manual or
semi-automatic methods require high-quality human effort; on the other hand,
state-of-the-art event automated detection systems are not accurate enough for
their output being directly usable without human moderation. Finally, the NLP
community has not achieved a consensus on the treatment of events both in
terms of task definition and appropriate techniques for their detection.
Given the aforementioned limitations, there is an increasing tendency to rely
on machine learning (ML) and NLP methods to deal better with the vast amount
and variety of data to be collected. This workshop aims to inspire the
emergence of innovative technological and scientific solutions in the field of
event detection and event metadata extraction from news, as well as the
development of evaluation metrics for event recognition. Moreover, the
workshop will aim at triggering a deeper understanding of the usability of
socio-political event datasets.
Automating political event collection requires the availability of
gold-standard corpora that can be used for system development and evaluation.
Moreover, automated tool performances need to be reproducible and comparable.
Although a tremendous effort is being spent on creating socio-political event
databases such as ACLED, GDELT, MMAD, and ICEWS, there has not been much
progress in harmonising event schemas and tasks. This limitation causes the
definition of the events and automated event information collection tool
performances to be restricted to single projects. Consequently, the lack of
comparable and reproducible settings hinders progress on this task.
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, in terms of event
data extraction, representation and aggregation.
Call for Papers:
We invite contributions from researchers in NLP, ML and AI involved in
automated event data collection, as well as researchers in Social and
Political Sciences, Conflict Analysis and Peace studies, who make use of this
kind of data for their analytical work. Our goal is to enable the emergence of
innovative NLP/IE solutions that can deal with the current stream of
information, manage the risks of information overload, identify different
sources and perspectives, and provide unitary and intelligible representations
of the larger and long-term storylines behind news articles.
We invite work on all aspects of automated coding of socio-political events
from mono- or multi-lingual news sources. This includes (but is not limited
to):
- Event metadata extraction
- Source ias mitigation
- Event data schema and representation
- Event information duplication detection
- Extracting events beyond a sentence in a document
- Training data collection/annotation processes
- Event coreference (in- and cross-document)
- Sub-event and event subset relations
- Event dataset evaluation and validity metrics
- Event datasets quality assessments
- Defining, populating and facilitating event ontologies
- Automated tools for relevant tasks
- Understanding the limits that are introduced by copyright rules
- Ethical concerns and ethical design
Submissions:
This call solicits full papers reporting original and unpublished research on
the topics listed above. The papers should emphasize obtained results rather
than intended work and should indicate clearly the state of completion of the
reported results. Submissions should be between 4 and 8 pages in total.
Authors are also invited to submit short papers not exceeding 4 pages (plus
two additional pages for references). Short papers should describe:
- a small, focused contribution
- work in progress
- a negative result
- a position paper
Proceedings should be submitted on the START system, in compliance with the
style sheet adopted for the LREC Proceedings (to be found here:
https://lrec2020.lrec-conf.org/en/submission2020/authors-kit/)
Papers should be submitted in PDF form through the AESPEN submission site:
https://www.softconf.com/lrec2020/AESPEN2020/ .
The reviewing process will be double blind and papers should not include the
authors’ names and affiliations. Each submission will be reviewed by at least
three members of the program committee. If you do include any author names on
the title page, your submission will be automatically rejected. In the body of
your submission, you should eliminate all direct references to your own
previous work.
Workshop Proceedings will be published on the LREC 2020 website.
Important dates
All dates are in 2020 and (23:59 GMT+1)
January 14: Announcing the shared task
February 14: Cut-off date for the shared task results
February 22: Workshop paper submission deadline
March 1: Submission deadline for the working notes of the shared task
March 13: Notification of acceptance
April 2: Camera-ready deadline
May 12, 2020: The workshop date
Contact:
Do not hesitate to contact ahurriyetoglu at ku.edu.tr or
vanni.zavarella at ec.europa.eu for any questions or comments.
To see the full version of this Call for Papers, visit our website:
https://emw.ku.edu.tr/aespen-2020/
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