Vol-2996⫷ Vol-2997 ⫸Vol-2998
urn:nbn:de:0074-2997-0

Copyright © 2021 for the individual papers by the papers' authors. Copyright © 2021 for the volume as a collection by its editors. This volume and its papers are published under the Creative Commons License Attribution 4.0 International ( CC BY 4.0 ) .

MLSMKG 2021
Machine Learning with Symbolic Methods and Knowledge Graphs 2021

Machine Learning with Symbolic Methods and Knowledge Graphs
co-located with European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases ( ECML PKDD 2021 )

Virtual, September 17, 2021 .

Edited by

Mehwish Alam *
Mehdi Ali
Paul Groth
Pascal Hitzler *
Jens Lehmann
Heiko Paulheim *
Achim Rettinger *
Harald Sack *
Afshin Sadeghi
Volker Tresp ****

* University of Mannheim, Germany ,
** University of Bonn, Germany ,
*** University of Trier, Germany ,
**** University of Munich, Germany ,
***** Karlsruhe Institute of Technology(KIT) ,
****** University of Amsterdam,the Netherlands ,
******* Kansas State University, Manhattan, U.S.A.

Table of Contents

Preface
Summary: There were 7 papers submitted for peer-review to this workshop. Out of these, 4 papers were accepted for this volume.

Opening

Session 1:

Ontology-based n-ball Concept Embeddings Informing Few-shot Image Classification (1-col) Mirantha Jayathilaka, Tingting Mu , Uli Sattler .

Session 2:

Contextual Graph Representation Learning in Text Disambiguation
Mozhgan Saeidi
Contextual Language Models for Knowledge Graph Completion
Russa Biswas , Radina Sofronova , Mehwish Alam , Harald Sack

Session 3:

On Refining BERT Contextualized Embeddings using Semantic Lexicons
Georgios Zervakis , Emmanuel Vincent , Miguel Couceiro , Marc Schoenauer .

2021-10-04: submitted by Afshin Sadeghi, metadata incl. bibliographic data published under Creative Commons CC0
2021-11-01 : published on CEUR Workshop Proceedings (CEUR-WS.org, ISSN 1613-0073) | valid HTML5 |