| Vol-2997 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|