25.1059, Calls: German, Computational Linguistics/Germany

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LINGUIST List: Vol-25-1059. Mon Mar 03 2014. ISSN: 1069 - 4875.

Subject: 25.1059, Calls: German, Computational Linguistics/Germany

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Date: Mon, 03 Mar 2014 14:33:51
From: Sebastian Pado [pado at ims.uni-stuttgart.de]
Subject: GermEval 2014 Named Entity Recognition Shared Task

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Full Title: GermEval 2014 Named Entity Recognition Shared Task 

Date: 08-Oct-2014 - 10-Oct-2014
Location: Hildesheim, Germany 
Contact Person: Sebastian Pado
Meeting Email: pado at ims.uni-stuttgart.de
Web Site: https://sites.google.com/site/germeval2014ner/ 

Linguistic Field(s): Computational Linguistics 

Subject Language(s): German (deu)

Call Deadline: 15-Aug-2014 

Meeting Description:

Named Entity Recognition (NER) has been shown useful for a wide range of NLP tasks from Information Extraction to Speech Processing. For Semantic Web applications like entity linking, NER is a crucial preprocessing step. Even though German is a relatively well-resourced language, NER for German has been challenging, both because capitalization is a less useful feature than in other languages, and because existing training data sets are encumbered by license problems. Therefore, no publicly available NER taggers for German exist that are free of usage restrictions and perform at high levels of accuracy.

GermanEval 2014 NER is associated with the KONVENS 2014 conference and will take place as a KONVENS workshop at Hildesheim in October 2014.

Organizers:

Chris Biemann
Language Technology, Technische Universität Darmstadt 
biem(AT)cs.tu-darmstadt.de

Sebastian Padó
IMS, Stuttgart University
pado(AT)ims.uni-stuttgart.de

[1] D. Benikova, C. Biemann, M. Reznicek. NoSta-D Named Entity Annotation for German: Guidelines and Dataset. To be presented at LREC 2014, Reykjavik

Call for Participation:

The GermEval 2014 NER Shared Task is an event that makes available CC-licensed German data with NER annotation with the goal of significantly advancing the state of the art in German NER and to push the field of NER towards nested representations of named entities. 

We invite all researchers and industry professionals to participate in the challenge and to demonstrate their capabilities of creating a Named Entity Recognition system for German. The systems will be evaluated on a manually created testset. Training data and development data will be provided. There are no restrictions regarding the type of NER system submissions, and no restrictions on the use of external data, background corpora, lexical resources etc.

Important Dates:

March 1, 2014: Call for Participation; incl. training and development data and evaluation framework
August 1-15, 2014: Availability of test data and submission of model results
August 15, 2014: Deadline for Shared Task description submissions
September 1, 2014: Notification of Acceptance and Shared Task Results
September 15, 2014: Deadline camera-ready papers
October 8 - 10, 2014: Konvens







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LINGUIST List: Vol-25-1059	
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