It is widely recognized that the ability to exploit Natural Language Processing (NLP) text mining strategies has the potential to increase
productivity and innovation in the sciences by orders of magnitude, by enabling scientists to pull information from research articles
in scientific disciplines such as genomics and biomedicine. The Language Applications (LAPPS) Grid is an infrastructure for rapid
development of natural language processing applications (NLP) that provides an ideal platform to support mining scientific literature. Its
Galaxy interface and the interoperability among tools together provide an intuitive and easy-to-use platform, and users can experiment
with and exploit NLP tools and resources without the need to determine which are suited to a particular task, and without the need for
significant computer expertise. The LAPPS Grid has collaborated with the developers of PubAnnotation to integrate the services and
resources provided by each in order to greatly enhance the user’s ability to annotate scientific publications and share the results. This
poster/demo shows how the LAPPS Grid can facilitate mining scientific publications, including identification and extraction of relevant
entities, relations, and events; iterative manual correction and evaluation of automatically-produced annotations, and customization of
supporting resources to accommodate specific domains.
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Bridging the LAPPS Grid and CLARIN
The LAPPS-CLARIN project is creating a “trust network” between the Language Applications (LAPPS) Grid and the WebLicht workflow
engine hosted by the CLARIN-D Center in T¨ubingen. The project also includes integration of NLP services available from the
LINDAT/CLARIN Center in Prague. The goal is to allow users on one side of the bridge to gain appropriately authenticated access to
the other and enable seamless communication among tools and resources in both frameworks. The resulting “meta-framework” provides
users across the globe with access to an unprecedented array of language processing facilities that cover multiple languages, tasks, and
applications, all of which are fully interoperable.
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- Award ID(s):
- 1811123
- NSF-PAR ID:
- 10096179
- Date Published:
- Journal Name:
- Proceedings of the Eleventh International Conference on Language Resources and Evaluation
- Format(s):
- Medium: X
- Sponsoring Org:
- National Science Foundation
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- Free Publicly Accessible Full Text
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Accepted Manuscript1.0
- Conference Paper:
- The DOI is not currently available.
