24.957, Calls: Computational Linguistics/Bulgaria

Fri Feb 22 17:45:10 UTC 2013

LINGUIST List: Vol-24-957. Fri Feb 22 2013. ISSN: 1069 - 4875.

Subject: 24.957, Calls: Computational Linguistics/Bulgaria

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Date: Fri, 22 Feb 2013 12:44:44
From: Piroska Lendvai [lendvai.piroska at nytud.mta.hu]
Subject: 7th Workshop on Language Technology for Cultural Heritage, Social Sciences, and Humanities

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Full Title: 7th Workshop on Language Technology for Cultural Heritage, Social Sciences, and Humanities 
Short Title: LaTeCH 2013 

Date: 08-Aug-2013 - 08-Aug-2013
Location: Sofia, Bulgaria 
Contact Person: Piroska Lendvai
Meeting Email: lendvai.piroska at nytud.mta.hu
Web Site: http://sighum.science.ru.nl/latech2013/index.html 

Linguistic Field(s): Computational Linguistics 

Call Deadline: 26-Apr-2013 

Meeting Description:

The LaTeCH workshop series is a forum for researchers who develop technology for improved information access to data from the Humanities, Social Sciences, and Cultural Heritage. Applications in these domains are rapidly emerging, while they typically entail new challenges with respect to NLP resources and workflows.

Noisy, non-standard, or historical textual or multimodal input, coupled with the scarcity of available digital semantic resources in philology-specific domains require the adaptation of existing, or the creation of novel approaches to (semi-)automatic processing tools and structured resources.

It is of mutual benefit that NLP experts, data specialists, and Digital Humanities representatives working in and across these areas get involved in the Computational Linguistics community and present their fundamental or applied R&D results.

Call for Papers:

Authors are invited to submit papers describing original, unpublished work in the form of long, short, or demo papers.

For technical details, please see http://sighum.science.ru.nl/latech2013/cfp.html.

Topics of LaTeCH 2013:

Adaptation of NLP tools to Cultural Heritage, Social Sciences, and Humanities domains
Automatic creation of semantic resources
Automatic error detection and cleaning 
Complex annotation tools and interfaces
Linguistic variation, non-standard or historical use of language
Linking and retrieving information across different sources, media, and domains
Standardization efforts in research infrastructure and research data 
Text mining and text analytics (named entities, events, sentiment, discourse, narration)
User modeling, recommendation, personalization

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