The Language Application Grid

The Language Application LAPPS Grid project is establishing a framework that enables language service discovery, composition, and reuse and promotes sustainability, manageability, usability, and interoperability of natural language Processing NLP components. It is based on the service-oriented architecture SOA, a more recent, web-oriented version of the "pipeline" architecture that has long been used in NLP for sequencing loosely-coupled linguistic analyses. The LAPPS Grid provides access to basic NLP processing tools and resources and enables pipelining such tools to create custom NLP applications, as well as composite services such as question answering and machine translation together with language resources such as mono- and multi-lingual corpora and lexicons that support NLP. The transformative aspect of the LAPPS Grid is that it orchestrates access to and deployment of language resources and processing functions available from servers around the globe and enables users to add their own language resources, services, and even service grids to satisfy their particular needs.

[1]  Denise DiPersio,et al.  Intellectual Property Rights Management with Web Service Grids , 2014, OIAF4HLT@COLING.

[2]  Stelios Piperidis.  The META-SHARE Language Resources Sharing Infrastructure: Principles, Challenges, Solutions , 2012, LREC.

[3]  James Pustejovsky,et al.  The Language Application Grid Web Service Exchange Vocabulary , 2014, WLSI.

[4]  Menzo Windhouwer,et al.  RELcat: a Relation Registry for ISOcat data categories , 2012, LREC.

[5]  Anton Nekrutenko,et al.  NGS analyses by visualization with Trackster , 2012, Nature Biotechnology.

[6]  Nancy Ide,et al.  What Does Interoperability Mean , Anyway ? Toward an Operational Definition of Interoperability for Language Technology , 2010 .

[7]  Eric Nyberg,et al.  Building optimal information systems automatically: configuration space exploration for biomedical information systems , 2013, CIKM.

[8]  A. Nekrutenko,et al.  Galaxy: a comprehensive approach for supporting accessible, reproducible, and transparent computational research in the life sciences , 2010, Genome Biology.

[9]  Jennifer Chu-Carroll,et al.  Building Watson: An Overview of the DeepQA Project , 2010, AI Mag..

[10]  Sean Bechhofer,et al.  SKOS Simple Knowledge Organization System Reference , 2009 .

[11]  Daniel J. Blankenberg,et al.  Galaxy: a platform for interactive large-scale genome analysis. , 2005, Genome research.

[12]  Toru Ishida,et al.  Open Language Grid - Towards a Global Language Service Infrastructure - , 2014 .

[13]  Toru Ishida.  The Language Grid - Service-Oriented Collective Intelligence for Language Resource Interoperability , 2011, The Language Grid.

[14]  James Pustejovsky,et al.  The LAPPS Interchange Format , 2015, WLSI.

[15]  Ted Pedersen,et al.  Empiricism Is Not a Matter of Faith , 2008, Computational Linguistics.

[16]  Arthur C. Ciccolo,et al.  Towards the Open Advancement of Question Answering Systems December 2008 , 2009 .

[17]  Dominique Estival,et al.  The Alveo Virtual Laboratory: A Web Based Repository API , 2014, LREC.

[18]  Nancy Ide,et al.  The Linguistic Annotation Framework: a standard for annotation interchange and merging , 2014, Lang. Resour. Evaluation.

[19]  Yoshihiko Hayashi,et al.  Language Service Ontology , 2011, The Language Grid.

[20]  Teruko Mitamura,et al.  Building Optimal Question Answering System Automatically using Configuration Space Exploration (CSE) for QA4MRE 2013 Tasks , 2013, CLEF.

[21]  James Pustejovsky,et al.  The SILT and FlaReNet International Collaboration for Interoperability , 2009, Linguistic Annotation Workshop.

[22]  Mark Liberman,et al.  New Directions for Language Resource Development and Distribution , 2014, LREC.

[23]  Eric Nyberg,et al.  CSE Framework: A UIMA-based Distributed System for Configuration Space Exploration , 2013, UIMA@GSCL.

[24]  Antske Fokkens,et al.  Offspring from Reproduction Problems: What Replication Failure Teaches Us , 2013, ACL.