| Vol-2720 urn:nbn:de:0074-2720-3 Copyright © 2020 for the individual papers by the papers' authors. Copyright © 2020 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).

# MWPD 2020
Semantic Web Challenge on Mining the Web of HTML-embedded Product Data

### Proceedings of the Semantic Web Challenge on Mining the Web of HTML-embedded Product Data
co-located with the 19th International Semantic Web Conference (ISWC 2020)

### Athens, Greece, November 5, 2020.

Edited by

### Ziqi Zhang *
Christian Bizer **

* University of Sheffield, Information School, Broomhall, Sheffield S10 2TG, UK
** University of Mannheim., Institute of Computer Science and Business Informatics, Schloss, 68131 Mannheim, Germany

## Table of Contents

- Preface

### Overview

- MWPD2020: Semantic Web Challenge on Mining the Web of HTML-embedded Product Data
  Ziqi Zhang, Christian Bizer, Ralph Peeters, Anna Primpeli

### Participant Papers

- PMap: Ensemble Pre-training Models for Product Matching (short paper)
  Natthawut Kertkeidkachorn, Ryutaro Ichise
- A Pre-trained Matching Model Based on Self- and Inter-ensemble For Product Matching Task (short paper)
  Shiyao Xu, Shijia E, Li Yang, Yang Xiang
- ISCAS_ICIP at MWPD-2020 Task 1: Product Matching Based on Deep Entity Matching Frameworks (short paper)
  Cheng Fu, Tianshu Wang, Hao Nie, Xianpei Han, Le Sun
- Language Model CNN-driven Similarity Matching and Classification for HTML-embedded Product Data
  Janos Borst, Erik Körner, Kobkaew Opasjumruskit, Andreas Niekler
- Bert with Dynamic Masked Softmax and Pseudo Labeling for Hierarchical Product Classification (short paper)
  Li Yang, Shijia E, Shiyao Xu, Yang Xiang
- ProBERT: Product Data Classification with Fine-tuning BERT Model (short paper)
  Hamada Zahera, Mohamed Sherif

2020-10-16: submitted by Ziqi Zhang, metadata incl. bibliographic data published under Creative Commons CC0
2020-10-31: published on CEUR Workshop Proceedings (CEUR-WS.org, ISSN 1613-0073) |valid HTML5|