Interoperability of corpus processing workflow engines: the case of. AlvisNLP/ML in OpenMinTeD - Archive ouverte HAL Access content directly
Conference Papers Year : 2016

Interoperability of corpus processing workflow engines: the case of. AlvisNLP/ML in OpenMinTeD

Abstract

AlvisNLP/ML is a corpus processing engine developed by the Bibliome group. It has been used in several experiments and end-user applications. We describe its design principles and data and workflow models, then we discuss interoperability challenges in the context of the OpenMinTeD project. The objective of OpenMinTeD (EC/H2020) is to create an infrastructure for Text and Data Mining (TDM) of scientific and scholarly publications. In order to offer to the infrastructure users a single entry point and the widest range of tools as possible, the major European corpus processing engines will be made interoperable, including Argo, DKPro, and GATE. We show that AlvisNLP/ML can be fully integrated into the OpenMinTeD platform while maintaining its originality.
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Dates and versions

hal-01455853 , version 1 (05-06-2020)

Identifiers

  • HAL Id : hal-01455853 , version 1
  • PRODINRA : 385973

Cite

Mouhamadou Ba, Robert Bossy. Interoperability of corpus processing workflow engines: the case of. AlvisNLP/ML in OpenMinTeD. Meeting of working Group Medicago sativa, May 2016, Portoroz, Slovenia. ⟨hal-01455853⟩
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