Allgemein

First Call for Papers: 4th Workshop on Computational Linguistics for Political and Social Sciences  (CPSS 2024)

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Co-located with KONVENS-2024 in Vienna, Austria.

Workshop description

Recent years have seen more and more applications of computational methods to the analysis of political texts. This has led to the emergence of different communities (one with a background in political / social science and the other in the areas of NLP/computer science) which struggle to get awareness of the relevant work taking place in the respective other community.

The main goal of this workshop is to bridge this gap and bring together researchers and ideas from the different communities, to foster collaboration and catalyze further interdisciplinary research efforts.

Important Dates

Workshop papers due

14.

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Quelle: https://dhd-blog.org/?p=20741

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Allgemein, Framing

DGfS2024 workshop ‚Towards Linguistically Motivated Computational Models of Framing‘ (dgfs2024-framing)

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Call for Abstracts

‚Towards Linguistically Motivated Computational Models of Framing‘

Date: Feb 28 – Mar 1, 2024
Location: Ruhr-University Bochum, Germany
Organizers: Annette Hautli-Janisz (University of Passau), Gabriella Lapesa (University of Stuttgart), Ines Rehbein (University of Mannheim)

Homepage: https://sites.google.com/view/dgfs2024-framing

Call for Papers:

Framing is a central notion in the study of language use to rhetorically package information strategically to achieve conversational goals (Entman, 1993) but also, more broadly, in the study of how we organize our experience (Goffman, 1974). In his seminal article, Entman (1993) defines framing as „to select some aspects of a perceived reality and make them more salient in a communicating text, in such a way as to promote problem definition, causal interpretation, moral evaluation, and/or treatment recommendation for the item described.“ This frame definition has recently been operationalized in NLP in terms of coarse-grained topic dimensions (Card et al.

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Quelle: https://dhd-blog.org/?p=19489

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Allgemein, Shared Task

SpkAtt-2023: Shared Task on Speaker Attribution in German News Articles and Parliamentary Debates

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We are happy to announce a new shared task on Speaker Attribution in German, 
as part of the GermEval Campaign, co-located with the Conference for Natural Language Processing (KONVENS 2023) in Ingolstadt, Germany, in Sep 2023.

The goal of this shared task is the identification of speakers in political debates and in news articles, and the attribution of speech events to their respective speakers. Being able to identify this information automatically, i.e., identifying who says what to whom, is a necessary prerequisite for a deep semantic analysis of unstructured text.  
For more information about the shared task, including the task settings, datasets, evaluation metrics and link to the registration form, please visit the shared task website on CodaLab. 



Important dates:
            ▪ April 1, 2023 - Training and development data release 
            ▪ June 15, 2023 - Test data release (blind) 
            ▪ July 1, 2023 - Submissions open 
            ▪ July 31, 2023 - Submissions close 
            ▪ August 14, 2023 - System descriptions due 
            ▪ September 7, 2023 - Camera-ready system paper deadline 
            ▪ September 18-22, 2023 - Workshop at KONVENS 2023 



Organising Team:
Ines Rehbein,	     Simone Ponzetto (U-Mannheim)
Fynn Petersen-Frey,     Chris Biemann (U-Hamburg)
Josef Ruppenhofer, Annelen Brunner (IDS Mannheim)

Contacts: fynn.petersen-frey@uni-hamburg.de, rehbein@uni-mannheim.de

Quelle: https://dhd-blog.org/?p=19010

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Allgemein, Computerlinguistik, Political Science, Politische Textanalyse, Text-as-data

Call for Papers: 2. Workshop on Computational Linguistics for Political and Social Sciences (CPSS 2022)

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co-located with KONVENS 2022 in Potsdam, Germany

Workshop description

Recent years have seen more and more applications of computational methods to the analysis of political texts. This has led to the emergence of different communities (one with a background in political / social science and the other in the areas of NLP/computer science) which struggle to get awareness of the relevant work taking place in the respective other community.

The main goal of this workshop is to bridge this gap and bring together researchers and ideas from the different communities, to foster collaboration and catalyze further interdisciplinary research efforts.

Important Dates

Workshop papers due: 30.06.

[...]

Quelle: https://dhd-blog.org/?p=17835

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Allgemein

PhD position in computational political science at Mannheim University

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The Natural Language Processing and Information Retrieval Group at the University of Mannheim invites applications for

ONE PHD STUDENT IN COMPUTATIONAL POLITICAL SCIENCE / DATA SCIENCE / STATISTICAL NLP

The position is affiliated to the newly established interdisciplinary research project

Fine-grained modelling of populist rhetoric in text

headed by Ines Rehbein [1] and Simone Ponzetto [2].

We are looking for a highly motivated candidate to conduct research in the area of NLP for political science. The candidate should have a strong background in one or several of the following areas

– NLP / data science / text-as-data
– computational political science
– semantic text processing
– deep learning / machine learning,

with a strong drive for interdisciplinary research and high proficiency in German.

Candidates should have a Masters degree in Computer Science, Natural Language Processing, Computational Linguistics, Data Science, Political Science or related areas. The student will be located at the Data and Web Science Group (DWS) of the University of Mannheim, one of leading centers for Data Science in Germany (more information can be found at http://dws.informatik.uni-mannheim.de).

Duration: the position will be available for 30 months (starting as soon as possible) with a possible extension, depending on future funding.
Salary range: according to German public scale TV-L 13 100% (full time).

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Quelle: https://dhd-blog.org/?p=16439

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