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An Arranged Marriage: Integrating DKPro Core in the Language Analysis Portal

Kouylekov, Milen and Lapponi, Emanuele and Oepen, Stephan and Eckart de Castilho, Richard (2017):
An Arranged Marriage: Integrating DKPro Core in the Language Analysis Portal.
In: Proceedings of the CLARIN Annual Conference 2017, CLARIN ERIC, Budapest, Hungary, [Online-Edition: https://www.clarin.eu/sites/default/files/Kouylekov-CLARIN20...],
[Conference or Workshop Item]

Abstract

In this paper we describe an ongoing effort to create an inter-operation framework that makes accessible the DKPro Core repository of Natural Language Processing (NLP) tools with the CLARINO Language Analysis Portal (LAP). The effort includes creating a mapping between the LAP Exchange Format and DKPro Core and integration of DKPro components in LAP.

Item Type: Conference or Workshop Item
Erschienen: 2017
Creators: Kouylekov, Milen and Lapponi, Emanuele and Oepen, Stephan and Eckart de Castilho, Richard
Title: An Arranged Marriage: Integrating DKPro Core in the Language Analysis Portal
Language: English
Abstract:

In this paper we describe an ongoing effort to create an inter-operation framework that makes accessible the DKPro Core repository of Natural Language Processing (NLP) tools with the CLARINO Language Analysis Portal (LAP). The effort includes creating a mapping between the LAP Exchange Format and DKPro Core and integration of DKPro components in LAP.

Title of Book: Proceedings of the CLARIN Annual Conference 2017
Publisher: CLARIN ERIC
Uncontrolled Keywords: CEDIFOR;UKP_p_CLARIND;UKP_p_DKPro;UKP_p_OpenMinTeD;UKP_s_DKPro_Core;UKP_reviewed
Divisions: 20 Department of Computer Science
20 Department of Computer Science > Ubiquitous Knowledge Processing
DFG-Graduiertenkollegs
DFG-Graduiertenkollegs > Research Training Group 1994 Adaptive Preparation of Information from Heterogeneous Sources
Event Location: Budapest, Hungary
Date Deposited: 30 Oct 2017 13:15
Official URL: https://www.clarin.eu/sites/default/files/Kouylekov-CLARIN20...
Identification Number: TUD-CS-2017-0267
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