[Air-L] Final Call for Papers and Shared Task Participation (CASE @ EMNLP 2022): Challenges and Applications of Automated Extraction of Socio-political Events from Text

[ali hürriyetoglu]

Final Call for Papers and Shared Task Participation (CASE @ EMNLP 2022):
Challenges and Applications of Automated Extraction of Socio-political
Events from Text


Apologies for cross-posting!


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URL: https://emw.ku.edu.tr/case-2022/


Sep 7, 2022: Submission deadline on Softconf

Jul 15, 2022: Latest ARR submission deadline for ARR

Oct 2, 2022: Latest ARR commitment deadline

Oct 9, 2022: Notification of Acceptance

Oct 16, 2022: Camera-ready papers due

Workshop dates: Dec 7-8, 2021

Location: Hybrid -> Abu Dhabi & Online

Please see below for the important dates of the shared tasks.


There are two options for submissions that are i) Softconf page of the
workshop: https:// <https://www.softconf.com/m/icspcc2022>
softconf.com/emnlp2022/case2022 and ii) ACL Rolling review (ARR):
https://aclrollingreview.org/dates.


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Nowadays, the unprecedented quantity of easily accessible data on social,
political, and economic processes offers ground-breaking potential in
guiding data-driven analysis in social and human sciences and in driving
informed policy-making processes. Governments, multilateral organizations,
and local and global NGOs present an increasing demand for high-quality
information about a wide variety of events ranging from political violence,
environmental catastrophes, and conflict, to international economic and
health crises (Coleman et al. 2014; Porta and Diani, 2015) to prevent or
resolve conflicts, provide relief for those that are afflicted, or improve
the lives of and protect citizens in a variety of ways. Black Lives Matter
protests (http://protestmap.raceandpolicing.com) and conflicts in Syria (
https://www.cartercenter.org/peace/conflict_resolution/syria-conflict-resolution.html)
are only two examples where we must understand, analyze, and improve
real-life situations using such data. Finally, these efforts respond to
“growing public interest in up-to-date information on crowds” as well (
https://sites.google.com/view/crowdcountingconsortium/faqs).

Event extraction has long been a challenge for the natural language
processing (NLP) community as it requires sophisticated methods in defining
event ontologies, creating language resources, domain specific grammars,
developing Machine Learning models and other algorithmic approaches for
various event-detection- specific tasks, such entity detection, semantic
labeling, event classification and clustering and others (Pustojevsky et
al. 2003; Boroş, 2018; Chen et al. 2021). Social and political scientists
have been working to create socio-political event (SPE) databases such as
ACLED, EMBERS, GDELT, ICEWS, MMAD, PHOENIX, POLDEM, SPEED, TERRIER, and
UCDP following similar steps for decades. These projects and the new ones
increasingly rely on machine learning (ML), deep learning (DL), and NLP
methods to deal better with the vast amount and variety of data in this
domain (Hürriyetoğlu et al. 2020). Unfortunately, automated approaches
suffer from major issues like bias, limited generalizability, class
imbalance, training data limitations, and ethical issues that have the
potential to affect the results and their use drastically (Lau and Baldwin
2020; Bhatia et al. 2020; Chang et al. 2019). Moreover, the results of the
automated systems for SPE information collection have neither been
comparable to each other nor been of sufficient quality (Wang et al. 2016;
Schrodt 2020). SPEs are varied and nuanced. Both the political context and
the local language used may affect whether and how they are reported.

We invite contributions from researchers in computer science, NLP, ML, DL,
AI, socio-political sciences, conflict analysis and forecasting, peace
studies, as well as computational social science scholars involved in the
collection and utilization of SPE data.

Academic workshops specific to tackling event information in general or for
analyzing text in specific domains such as health, law, finance, and
biomedical sciences have significantly accelerated progress in these topics
and fields, respectively. However, there has not been a comparable effort
for handling SPEs. We fill this gap. We invite work on all aspects of
automated coding and analysis of SPEs and events in general from mono- or
multi-lingual text sources. This includes (but is not limited to) the
following topics

1) Extracting events in and beyond a sentence, event coreference
resolution,

2) New datasets, training data collection, and annotation for event
information,

3) Event-event relations, e.g., subevents, main events, causal relations,

4) Event dataset evaluation in light of reliability and validity metrics,

5) Defining, populating, and facilitating event schemas and ontologies,

6) Automated tools and pipelines for event collection related tasks,

7) Lexical, syntactic, discursive, and pragmatic aspects of event
manifestation,

8) Methodologies for development, evaluation, and analysis of event
datasets,

9) Applications of event databases, e.g. early warning, conflict
prediction, policymaking,

10) Estimating what is missing in event datasets using internal and
external information,

11) Detection of new SPE types, e.g. creative protests, cyberactivism,
COVID19 related,

12) Release of new event datasets,

13) Bias and fairness of the sources and event datasets,

14) Ethics, misinformation, privacy, and fairness concerns pertaining to
event datasets, and

15) Copyright issues on event dataset creation, dissemination, and sharing.

16) We encourage submissions of new system description papers on our
available benchmarks (ProtestNews @ CLEF 2019, AESPEN @ LREC 2020, and CASE
@ 2021). Please contact the organizers if you would like to access the
data.

The proceedings of the previous editions should be indicative of what we
cover: ProtestNews @ CLEF 2019 (http://ceur-ws.org/Vol-2380/), AESPEN @ ACL
2020 (https://aclanthology.org/volumes/2020.aespen-1/), CASE @ ACL-IJCNLP
2021 (https://aclanthology.org/volumes/2021.case-1/).


**** Shared tasks ****

Task 1- Multilingual protest news detection: This is the same shared task
organized at CASE 2021 (For more info:
https://aclanthology.org/2021.case-1.11/) But this time there will be
additional data and languages at the evaluation stage. Contact person: Ali
Hürriyetoğlu (ali.hurriyetoglu at gmail.com). Github:
https://github.com/emerging-welfare/case-2022-multilingual-event

Task 2- Automatically replicating manually created event datasets: The
participants of Task 1 will be invited to run the systems they will develop
to tackle Task 1 on a news archive (For more info
https://aclanthology.org/2021.case-1.27/). Contact person: Hristo Tanev (
htanev at gmail.com). Github:
https://github.com/emerging-welfare/case-2022-multilingual-event

Task 3- Event causality identification: Causality is a core cognitive
concept and appears in many natural language processing (NLP) works that
aim to tackle inference and understanding. We are interested to study event
causality in news, and therefore, introduce the Causal News Corpus. The
Causal News Corpus consists of 3,559 event sentences, extracted from
protest event news, that have been annotated with sequence labels on
whether it contains causal relations or not. Subsequently, causal sentences
are also annotated with Cause, Effect, and Signal spans. Our two subtasks
(Sequence Classification and Span Detection) work on the Causal News
Corpus, and we hope that accurate, automated solutions may be proposed for
the detection and extraction of causal events in news. Contact person:
Fiona Anting Tan (tan.f at u.nus.edu). Github:
https://github.com/tanfiona/CausalNewsCorpus



**** Deadlines for the Shared tasks ****

** Task 1 & 2:

Training data available: The training data from CASE 2021 is used.

New test data available: Sept 15, 2022

Test end: Sep 25, 2022

System Description Paper submissions due: Oct 2, 2022

Notification to authors after review: Oct 09, 2022

Camera-ready: Oct 16, 2022

** Task 3:

Training data available: Apr 15, 2022

Validation data available: Apr 15, 2022

Validation labels available: Aug 01, 2022

Test data available: Aug 01, 2022

Test start: Aug 01, 2022

Test end: extended from Aug 15 to Aug 31, 2022

System Description Paper submissions due: Sep 07, 2022

Notification to authors after review: Oct 09, 2022

Camera ready: Oct 16, 2022

*** Keynotes ***

Three prominent scholars have accepted our invitation as keynote speakers:

i) J. Craig Jenkins (https://sociology.osu.edu/people/jenkins.12) is
Academy Professor Emeritus of Sociology at The Ohio State University. He
directed the Mershon Center for International Security Studies from 2011 to
2015 and is now senior research scientist.

ii) Scott Althaus (https://pol.illinois.edu/directory/profile/salthaus) is
Merriam Professor of Political Science, Professor of Communication, and
Director of the Cline Center for Advanced Social Research at the University
of Illinois Urbana-Champaign.

iii) Thien Huu Nguyen (https://ix.cs.uoregon.edu/~thien/) is an assistant
professor in the Department of Computer and Information Science at the
University of Oregon. Thien is the director of the NSF IUCRC Center for Big
Learning (CBL) at the University of Oregon.


**** Submissions *****

This call solicits short and long 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. The page limits and content structure
announced at ACL ARR page (https://aclrollingreview.org/cfp) should be
followed for both short and long papers.

Papers should be submitted on the START page of the workshop (
http://softconf.com/emnlp2022/case2022) or on ARR page (TBA on the workshop
website) in PDF format, in compliance with the ACL publication author
guidelines for ACL publications
https://acl-org.github.io/ACLPUB/formatting.html

The reviewing process will be double-blind and papers should not include
the author's names and affiliations. Each submission will be reviewed by at
least three members of the program committee. The workshop proceedings will
be published on ACL Anthology.


**** Organization Committee ****

Ali Hürriyetoğlu (KNAW Humanities Cluster DHLab, the Netherlands)

Hristo Tanev (Joint Research Centre (JRC), European Commission, Italy)

Vanni Zavarella (Joint Research Centre (JRC) of the European

Commission, Italy)

Reyyan Yeniterzi (Sabancı University, Turkey)

Erdem Yörük (Koc University, Turkey)

Osman Mutlu (Koc University, Turkey)

Fırat Duruşan (Koc University, Turkey)

Ali Safaya (Koc University, Turkey)

Bharathi Raja Asoka Chakravarthi (Insight SFI Centre for Data Analytics,
United Kingdom),

Benjamin J. Radford (UNC Charlotte, United States)

Francielle Vargas (University of São Paulo, Brazil)

Farhana Ferdousi Liza (University of East Anglia, UK)

Milena Slavcheva (Bulgarian Academy of Sciences, Bulgaria),

Ritesh Kumar (Dr. Bhimrao Ambedkar University, India),

Daniela Cialfi (The ‘Gabriele d’Annunzio’ University, Italy)

Tiancheng Hu (ETH Zürich, Switzerland)

Niklas Stoehr (ETH Zürich, Switzerland)

Fiona Anting Tan (National University of Singapore, Singapore)