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dice-group/rich-context-competition: Phase-2 Final submission code

Name: dice-group/rich-context-competition: Phase-2 Final submission code
Keywords: word embeddings, named-entity recognition, scientific articles, text mining, information retrieval, preprocessing

integration_instructionsResearch softwarekeyboard_double_arrow_right Software 17 Jun 2019 English Publisher:Zenodo

Authors: Rricha, Jalota; Vollmers Daniel; Speck Rene; Srivastava Nikit;

doi: 10.5281/zenodo.3247674 , 10.5281/zenodo.3247673

dice-group/rich-context-competition: Phase-2 Final submission code

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Abstract

The repo contains our final submission's refactored code for the Rich Context Competition. On a high-level, it contains modules for 3 different components of the pipeline: Preprocessing Dataset identification using a combination of simple dataset-search and CRFs based on Rasa-NLU Identification of methods and fields using vectorization and cosine similarity

Related Organizations

University of Paderborn
Germany
Leipzig University
Germany

Keywords

word embeddings, named-entity recognition, scientific articles, text mining, information retrieval, preprocessing

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