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LT4Gov & Public Administration 2020 : Language Technologies for Government and Public Administration- Workshop within LREC2020- LT4Gov and Public Administration


When May 16, 2020 - May 16, 2020
Where Marseille, France
Submission Deadline Feb 17, 2020
Notification Due Mar 13, 2020
Final Version Due Apr 3, 2020
Categories    NLP   human language technologies   speech processing   machine translation

Call For Papers

The sector of governmental bodies and public administration is an important sector representing a considerable percentage of expenditure of the GDP. Expenditure averages lie between 25%-57% in different countries according to reports from OECD, EU and World Bank. Moreover, this sector handles daily huge amounts of data in different formats.

Processing these huge amounts of information by HLT could provide valuable, data-driven and evidence-based insights that would highly impact the workflow for civil servants, the policy-making and the public services offered to citizens in different domains: Health, Tourism, Justice and Law, Culture.

LT4Gov aims at bringing together initiatives where Human Language Technologies (HLT) are used within the context of governmental bodies and public administration in the different domains (Health, Tourism, Justice, Culture, etc.). Governmental bodies and Public Administration Entities could be providers of data or could be users or beneficiaries of solutions in different sub-sectors. In addition, they could provide solutions to enhance services destined to the citizens.

Within LT4Gov and Public Administration, we consider the following three scenarios:

- PublicData4LRs (Public Data for Language Resources) -) Public Administrations as providers of data
- LT4PolicyMaking (Language Technologies for Policy Making) -) Public Administrations as users
- LT4Citizens (Language Technologies for Citizens) -) Public Administrations as providers of services to the citizens.

The workshop welcomes papers and demos showcasing the use of HLT in a governmental context either for Policy Makers, Civil Servants or Citizens.

According to the above main lines, papers or demos could describe:

Language resources developed from open data of Public Administrations à PublicData4LRs
Solutions to process data from Public Administrations and Governmental bodies. à LT4PolicyMaking/ LT4Citizens
Solutions to improve/innovate the workflow within Public Administrations and Governmental bodies. à LT4PolicyMaking
Solutions to improve/innovate the policymaking and decision taking within Public Administrations and Governmental bodies based on knowledge inferred and insights from data. à LT4PolicyMaking
Solutions to improve/innovate the services offered to the citizen by Public Administrations and Governmental bodies. à LT4Citizens
Papers and demos are welcome from Academia, Industry, SMEs or Public Administrations. A special attention will be given to the role of SMEs and innovative start-ups in this respect.

Technical Scope
Concerning the technical topics of interest, LT4Gov and Public Administration will invite contributions in the following HLT-related lines:

Innovation in policymaking through data-driven and evidence-based approaches.
Disruptive technology in governance such as Artificial Intelligence applications.
Data interoperability among public administrations
Effective and innovative approaches for citizens’ engagement
Language Resources from Open Public Data and Governmental bodies (Development & curation of corpora, annotation, interoperability, linked data, Knowledge Bases, Ontologies, Terminologies, Thesaurus, etc.)
Modelling and Algorithms using public data or for developing solutions for Public Administration (Domain Specific-Language Models, Topic Models, Knowledge Graphs, etc.)
Natural Language Processing Applications (Question Answering, Text Summarization, Information Extraction, Named Entities, Entity Linking, Indexing, Information Retrieval, Text Entailment, etc.)
Machine Translation (MT engines, Translation Memories, Computer Aided Translation)
Speech Technologies and Dialogue Systems (Speech-to-Text, Diaritization, Dialogue Systems, etc.)
Multimodal data processing

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