paper-with-me

홈 › Papers

Proper Language Resource Centers

2012-05-01 · LREC 2012 5 · Willem Elbers, Daan Broeder, Dieter van Uytvanck

Language resource centers allow researchers to reliably deposit their structured data together with associated meta data and run services operating on this deposited data. We are looking into possibilities to create long-term persistency of both the deposited data and the services operating on this data. Challenges, both technical and non-technical, that need to be solved are the need to replicate more than just the data, proper identification of the digital objects in a distributed environment by making use of persistent identifiers and the set-up of a proper authentication and authorization domain including the management of the authorization information on the digital objects. We acknowledge the investment that most language resource centers have made in their current infrastructure. Therefore one of the most important requirements is the loose coupling with existing infrastructures without the need to make many changes. This shift from a single language resource center into a federated environment of many language resource centers is discussed in the context of a real world center: The Language Archive supported by the Max Planck Institute for Psycholinguistics.

📄 PDF Abstract BibTeX

Code (0)

등록된 구현이 없습니다.

Tasks

Management

Similar Papers 제목 키워드 기반

The CLARIN Research Infrastructure: Resources and Tools for eHumanities Scholars

2014-05-01 · LREC 2014 5 · Erhard Hinrichs, Steven Krauwer

CLARIN is the short name for the Common Language Resources and Technology Infrastructure, which aims at providing easy and sustainable access for scholars in the humanities and social sciences to digital language data an…

Federated Search: Towards a Common Search Infrastructure

2012-05-01 · LREC 2012 5 · Herman Stehouwer, Matej Durco, Eric Auer, Daan Broeder

Within scientific institutes there exist many language resources. These resources are often quite specialized and relatively unknown. The current infrastructural initiatives try to tackle this issue by collecting metadat…

Language Acquisition

Forecasting Daily COVID-19 Related Calls in VA Health Care System: Predictive Model Development

2021-11-27 · Weipeng Zhou, Ryan J. Laundry, Paul L. Hebert, Gang Luo

Background: COVID-19 has become a challenge worldwide and properly planning of medical resources is the key to combating COVID-19. In the US Veteran Affairs Health Care System (VA), many of the enrollees are susceptible …

feature selection

New Directions for Language Resource Development and Distribution

2014-05-01 · LREC 2014 5 · Christopher Cieri, Denise DiPersio, Mark Liberman, Andrea Mazzucchi 외

Despite the growth in the number of linguistic data centers around the world, their accomplishments and expansions and the advances they have help enable, the language resources that exist are a small fraction of those r…

Transfer Learning

Tera-SpaceCom: GNN-based Deep Reinforcement Learning for Joint Resource Allocation and Task Offloading in TeraHertz Band Space Networks

2024-09-12 · Zhifeng Hu, Chong Han, Wolfgang Gerstacker, Ian F. Akyildiz

Terahertz (THz) space communications (Tera-SpaceCom) is envisioned as a promising technology to enable various space science and communication applications. Mainly, the realm of Tera-SpaceCom consists of THz sensing for …

Deep Reinforcement LearningEdge-computingGraph Neural Network