32.1127, Calls: Comp Ling/Online

Mon Mar 29 20:21:36 UTC 2021

LINGUIST List: Vol-32-1127. Mon Mar 29 2021. ISSN: 1069 - 4875.

Subject: 32.1127, Calls: Comp Ling/Online

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Date: Mon, 29 Mar 2021 16:21:24
From: Ali Hürriyetoğlu [ahurriyetoglu at ku.edu.tr]
Subject: Shared Tasks for Challenges and Applications of Automated Extraction of Socio-political Events from Text

Full Title: Shared Tasks for Challenges and Applications of Automated Extraction of Socio-political Events from Text 
Short Title: CASE @ ACL-IJCNLP 2021 

Date: 05-Aug-2021 - 06-Aug-2021
Location: Bangkok (Online), Thailand 
Contact Person: Ali Hürriyetoğlu
Meeting Email: ahurriyetoglu at ku.edu.tr
Web Site: https://emw.ku.edu.tr/case-2021/ 

Linguistic Field(s): Computational Linguistics 

Call Deadline: 08-May-2021 

Meeting Description:

Event information detection consists of multiple subsequent steps that could
drastically affect the quality of the resulted event database. Thus, we
believe one must consider a complete scenario that consists of document and
sentence classification as relevant or not, event coreference resolution,
event information extraction, and event classification in relation to an event
taxonomy, and test the results on a list of events created manually to
determine performance of the state-of-the-art on this task.

With this objective in mind, we organize a shared task on socio-political and
crisis event detection at the workshop. Although the subtasks form a coherent
flow, task participants can focus on one or more of them. Therefore,
participants can choose the tasks or subtask(s) they would like to participate
in. Participants will have access to all of the data for all tasks and
subtasks. Any combination of these resources to achieve high performance for
any of the tasks is allowed. For instance, Task 1 data could be used to
potentially improve the performance on Task 2 and vice versa.

Second Call for Participation: 

Task 1. Multilingual protest news detection

    Subtask 1: Document classification ⇒ Does a news article contain
information about a past or ongoing event?

    Subtask 2: Sentence classification ⇒ Does a sentence contain information
about a past or ongoing event?

    Subtask 3: Event sentence coreference identification ⇒ Which event
sentences (subtask 2) are about the same event?

    Subtask 4: Event extraction ⇒ What is the event trigger and its arguments?

We particularly focus on events that are in the scope of contentious politics
and characterized by riots and social movements, i.e., the “repertoire of
contention” (Giugni 1998, Tarrow 1994, Tilly 1984), which we name GLOCON Gold
in our operationalization (Hürriyetoğlu et al. 2020a). The aim of the shared
task is to detect and classify socio-political and crisis event information at
document, sentence, cross-sentence, and token levels in a multilingual
setting. The detailed description of the subtasks can be found in Hürriyetoğlu
et al. (2019, 2020b). The data size for English is increased and data for
Portuguese, Spanish, and Hindi are added in this edition.

Task 2: Fine-grained classification of Socio-political events

The objective of this task is to evaluate generalized zero-shot learning event
classification approaches to classify short text snippets reporting
socio-political events with fine-grained event types using the Armed Conflict
Location & Event Data Project (ACLED) event taxonomy, which consists of 25
event subtypes pertaining to political violence, demonstrations (rioting and
protesting) and selected non-violent, politically important events. The task
is to label text snippets using ACLED types and potentially other types of
similar events not covered directly by ACLED (unseen classes). One should keep
in mind that the event definitions for task 1 and task 2 are not fully
compatible.

Task 3: Discovering Black Lives Matter events in United States

This task is only an evaluation task where the participants of task 1 will
have the possibility to evaluate their systems on reproducing a manually
curated Black Lives Matter (BLM) related protest event list. Participants will
use document collections provided by us to extract place and date of the BLM
events. The event definition applied for determining these events is the same
as the one facilitated for task 1. Participants may utilize any other data
source to improve performance of their submissions.

Please find the detailed description of the tasks, application form, sample
data, baseline scripts, and submission formats are on the dedicated repository
(https://github.com/emerging-welfare/case-2021-shared-task).

Important Dates for the Shared Task: 
Release of training data for Task 1: March 14, 2021, Task 2: already available
Registration deadline: April 30, 2021
Release of test data for all tasks to registered participants: May 4 2021
Submission of system responses: May 8, 2021 (12:00 CET)
Results announced to participants: May 10, 2021
Shared Task Papers Due: May 21, 2021
Notification of Acceptance: May 28, 2021
Camera-ready papers due: June 7, 2021
CASE 2021 Workshop (presentation of the ST results): August 5-6, 2021

All deadlines are 23:59 AoE (anywhere on Earth) and in the year 2021, unless
otherwise stated above.

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LINGUIST List: Vol-32-1127	
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