29.4907, Software: AmbiverseNLU: Open Source Natural Language Understanding Suite now available

[The LINGUIST List]

LINGUIST List: Vol-29-4907. Mon Dec 10 2018. ISSN: 1069 - 4875.

Subject: 29.4907, Software: AmbiverseNLU: Open Source Natural Language Understanding Suite now available

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Date: Mon, 10 Dec 2018 14:27:08
From: Johannes Hoffart [jhoffart at mpi-inf.mpg.de]
Subject: AmbiverseNLU: Open Source Natural Language Understanding Suite now available

 
We are happy to announce the open source release of the Ambiverse Natural
Language Understanding suite (AmbiverseNLU)

https://github.com/ambiverse-nlu/ambiverse-nlu

developed at the Max Planck Institute for Informatics and Ambiverse GmbH.

AmbiverseNLU comprises knowledge-driven Named Entity Recognition, Entity &
Concept Linking, Open Information Extraction, Entity Salience, and Knowledge
Graph access components in many languages (English, Chinese, Czech, German,
Spanish, Russian, within an extensible framework), providing a basis for
text-to-knowledge applications. The components are based on robust and
well-tested methods (AIDA [1], ClausIE [2], KnowNER [3]). The code is
available under the Apache 2.0 licence on GitHub:
https://github.com/ambiverse-nlu/ .

Try the demo (https://ambiversenlu.mpi-inf.mpg.de/) or sign up to the
AmbiverseNLU mailing list
(https://lists.mpi-inf.mpg.de/listinfo/ambiversenlu).

We are looking forward to your feedback and questions!

The Ambinauts

References:
[1] J. Hoffart, M. A. Yosef, I. Bordino, H. Fürstenau, M. Pinkal, M. Spaniol,
B. Taneva, S. Thater, and G. Weikum, “Robust Disambiguation of Named Entities
in Text,” Proceedings of the 2011 Conference on Empirical Methods in Natural
Language Processing, EMNLP 2011, Edinburgh, Scotland, 2011.
[2] L. Del Corro and R. Gemulla, “ClausIE - clause-based open information
extraction.,” Proceedings of the 22nd International Conference on World Wide
Web, WWW 2013, Rio de Janerio, Brazil, 2013.
[3] D. Seyler, T. Dembelova, L. Del Corro, J. Hoffart, and G. Weikum, “A Study
of the Importance of External Knowledge in the Named Entity Recognition Task,”
56th Annual Meeting of the Association for Computational Linguistics, ACL
2018, Melbourne, Australia, 2018.


Linguistic Field(s): Computational Linguistics
                     Semantics



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