Sehr geehrte Damen und Herren,

Ich bin zwischen dem 13.03. und 19.03. nicht im Büro und daher nur unregelmäßig erreichbar.

Beste Grüße
Matthias Söllner

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Dear sender,

I will be out of office from March 13th until March 19th. During this time, I might take longer to answer your email.

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Matthias Söllner

Am 13.03.2023 um 18:21 schrieb Söllner, Matthias, Uni.-Prof. Dr. via Corpora <corpora@list.elra.info>:

Sehr geehrte Damen und Herren,

Ich bin zwischen dem 13.03. und 19.03. nicht im Büro und daher nur unregelmäßig erreichbar.

Beste Grüße
Matthias Söllner

————————

Dear sender,

I will be out of office from March 13th until March 19th. During this time, I might take longer to answer your email.

Best regards,
Matthias Söllner

Am 13.03.2023 um 18:20 schrieb Söllner, Matthias, Uni.-Prof. Dr. via Corpora <corpora@list.elra.info>:

Sehr geehrte Damen und Herren,

Ich bin zwischen dem 13.03. und 19.03. nicht im Büro und daher nur unregelmäßig erreichbar.

Beste Grüße
Matthias Söllner

————————

Dear sender,

I will be out of office from March 13th until March 19th. During this time, I might take longer to answer your email.

Best regards,
Matthias Söllner

Am 13.03.2023 um 18:03 schrieb Söllner, Matthias, Uni.-Prof. Dr. via Corpora <corpora@list.elra.info>:

Sehr geehrte Damen und Herren,

Ich bin zwischen dem 13.03. und 19.03. nicht im Büro und daher nur unregelmäßig erreichbar.

Beste Grüße
Matthias Söllner

————————

Dear sender,

I will be out of office from March 13th until March 19th. During this time, I might take longer to answer your email.

Best regards,
Matthias Söllner

Am 13.03.2023 um 18:02 schrieb Söllner, Matthias, Uni.-Prof. Dr. via Corpora <corpora@list.elra.info>:

Sehr geehrte Damen und Herren,

Ich bin zwischen dem 13.03. und 19.03. nicht im Büro und daher nur unregelmäßig erreichbar.

Beste Grüße
Matthias Söllner

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Dear sender,

I will be out of office from March 13th until March 19th. During this time, I might take longer to answer your email.

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Matthias Söllner

Am 13.03.2023 um 16:31 schrieb Söllner, Matthias, Uni.-Prof. Dr. via Corpora <corpora@list.elra.info>:

Sehr geehrte Damen und Herren,

Ich bin zwischen dem 13.03. und 19.03. nicht im Büro und daher nur unregelmäßig erreichbar.

Beste Grüße
Matthias Söllner

————————

Dear sender,

I will be out of office from March 13th until March 19th. During this time, I might take longer to answer your email.

Best regards,
Matthias Söllner

Am 13.03.2023 um 16:29 schrieb Söllner, Matthias, Uni.-Prof. Dr. via Corpora <corpora@list.elra.info>:

Sehr geehrte Damen und Herren,

Ich bin zwischen dem 13.03. und 19.03. nicht im Büro und daher nur unregelmäßig erreichbar.

Beste Grüße
Matthias Söllner

————————

Dear sender,

I will be out of office from March 13th until March 19th. During this time, I might take longer to answer your email.

Best regards,
Matthias Söllner

Am 13.03.2023 um 15:00 schrieb Söllner, Matthias, Uni.-Prof. Dr. via Corpora <corpora@list.elra.info>:

Sehr geehrte Damen und Herren,

Ich bin zwischen dem 13.03. und 19.03. nicht im Büro und daher nur unregelmäßig erreichbar.

Beste Grüße
Matthias Söllner

————————

Dear sender,

I will be out of office from March 13th until March 19th. During this time, I might take longer to answer your email.

Best regards,
Matthias Söllner

Am 13.03.2023 um 14:46 schrieb Paolo Rosso via Corpora <corpora@list.elra.info>:

Apologies for cross-posting

HUrtful HUmour: Detection of humour spreading prejudice in Twitter

The expression of prejudice is the most common strategy used to hurt people of minority groups. In HUHU, our focus is on examining the use of humour to express prejudice towards minorities, specifically analyzing Spanish tweets that are prejudicial towards: Women and feminists, LGBTIQ community, Immigrants and racially discriminated people, and Overweight people.

The HUHU task will be organised at IberLEF-2023 and will be composed of three subtasks:

(i) HUrtful HUmour Detection: The first subtask consists in determining whether a prejudicial tweet is intended to cause humour. Participants will have to distinguish between tweets that using humour express prejudice and tweets that express prejudice without using humour.

(ii) Prejudice Target Detection: In the second subtask participants will be asked to identify the targeted groups on each tweet as a multilabel classification task.

(iii) Degree of Prejudice Prediction: The third subtask consists of predicting on a continuous scale from 1 to 5 to evaluate how prejudicial the message is on average among minority groups.

Important dates
Training dataset release: March 21, 2023
Test dataset release: April 18, 2023
Systems results: May 15, 2023
Results notification: May 22, 2023
Working papers submission: June 5, 2023
Working papers (peer-)reviewed: June 19, 2023

More information and registration at:
https://sites.google.com/view/huhuatiberlef23/huhu

Organization committee
Roberto Labadie Tamayo, Berta Chulvi, Paolo Rosso
PRHLT Research Center, Universitat Politècnica de València

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