29.1660, Calls: Computational Linguistics/Austria

[The LINGUIST List]

LINGUIST List: Vol-29-1660. Tue Apr 17 2018. ISSN: 1069 - 4875.

Subject: 29.1660, Calls: Computational Linguistics/Austria

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Date: Tue, 17 Apr 2018 16:44:35
From: Melanie Siegel [melanie.siegel at h-da.de]
Subject: GermEval Task 2018 - Shared Task on the Identification of Offensive Language

 
Full Title: GermEval Task 2018 - Shared Task on the Identification of Offensive Language 
Short Title: GermEval Task 2018 

Date: 21-Sep-2018 - 21-Sep-2018
Location: Vienna, Austria 
Contact Person: Melanie Siegel
Meeting Email: iggsa2018 at googlegroups.com
Web Site: https://projects.cai.fbi.h-da.de/iggsa/ 

Linguistic Field(s): Computational Linguistics 

Subject Language(s): German (deu)

Call Deadline: 07-Aug-2018 

Meeting Description:

Offensive Language is commonly defined as hurtful, derogatory or obscene
comments made by one person to another person. This type of language can
increasingly be found on the web. As a consequence many operators of social
media websites no longer manage to manually monitor user posts. Therefore,
there is a pressing demand for methods to automatically identify suspicious
posts.

This pilot shared task is to initiate and foster research on the
identification of offensive content in German language microposts. Offensive
comments are to be detected from a set of German tweets. We focus on Twitter
since tweets can be regarded as a prototypical type of micropost.

The workshop discussing this year’s edition of this shared task is planned to
be held in conjunction with the Conference on Natural Language Processing
(KONVENS ) in Vienna in September 2018.


2nd Call for Participation:

This is the second call to participate in the shared task on identification of
offensive language GermEval 2018. We invite everyone from academia and
industry to participate in the shared task on Identification of Offensive
German Language.

Introduction

Offensive Language is commonly defined as hurtful, derogatory or obscene
comments made by one person to another person. This type of language can
increasingly be found on the web. As a consequence many operators of social
media websites no longer manage to manually monitor user posts. Therefore,
there is a pressing demand for methods to automatically identify suspicious
posts.

This pilot shared task is to initiate and foster research on the
identification of offensive content in German language microposts. Offensive
comments are to be detected from a set of German tweets. We focus on Twitter
since tweets can be regarded as a prototypical type of micropost.

The workshop discussing this year’s edition of this shared task is planned to
be held in conjunction with the Conference on Natural Language Processing
(KONVENS ) in Vienna in September 2018.

Data

Some sample data (i.e. 100 manually labeled tweets) and an evaluation script
are now ready and available on our website (URL see above). The training data,
which are going to be released in April, can be downloaded after registering
with the organizing committee. The task evaluations will take place in July
2018. For more details please consult the GermEval-2018 website.

Tasks

We offer the two tasks described below. Participants in this year’s shared
task can choose to participate in one or both of them.

Task I — Binary classification

The task is to decide whether a tweet includes some form of offensive language
or or not.

Task II — Fine-grained classification

In addition to detecting abusive language tweets, we distinguish between three
subcategories:

PROFANITY: usage of profane words, however, the tweet clearly does not want to
insult anyone.

INSULT: unlike PROFANITY the tweet clearly wants to offend someone.

ABUSE: unlike INSULT, the tweet does not just insult a person but represents
the stronger form of abusive language

Important dates:

March 2018: Release of Sample Data
April 2018: Release of Training Data
July 17, 2018: Release of Test Data
August 7, 2018: Submission of System Runs and System Description papers
August 14, 2018: Feedback on System Description papers
August 21, 2018: Final Submission of System Description papers
September 21, 2018: Workshop co-located with KONVENS-2018

GermEval:

GermEval is a series of shared task evaluation campaigns that focus on Natural
Language Processing for the German language. So far, there have been three
iterations of GermEval, each with a different type of task. GermEval shared
tasks have been run informally by self-organized groups of interested
researchers. However, the last shared task as well as the one for 2018 were
endorsed by special interest groups within the German Society for
Computational Linguistics (GSCL). All iterations of GermEval shared tasks held
their concluding workshop in conjunction with either the GSCL or the KONVENS
bi-annual conferences, depending on which of them took place.

Contact email

iggsa2018 at googlegroups.com

Mailing group

Please join our discussion group at iggsa2018partners at googlegroups.com in
order to receive announcements and participate in discussions.

Best regards,

The GermEval 2018 Organizers:

Josef Ruppenhofer (Institute for German Language, Mannheim)

Melanie Siegel (Hochschule Darmstadt)

Michael Wiegand (Saarland University, Saarbrücken)




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