Search Results for author: Christian Bizer

Found 9 papers, 6 papers with code

Supervised Contrastive Learning for Product Matching

1 code implementation4 Feb 2022 Ralph Peeters, Christian Bizer

We thus conclude that contrastive pre-training has a high potential for product matching use cases in which explicit supervision is available.

Contrastive Learning Data Augmentation +2

Cross-Language Learning for Entity Matching

1 code implementation7 Oct 2021 Ralph Peeters, Christian Bizer

This poster explores along the use case of matching product offers from different e-shops to which extent it is possible to improve the performance of Transformer-based matchers by complementing a small set of training pairs in the target language, German in our case, with a larger set of English-language training pairs.

Cross-Lingual Transfer Entity Resolution

Dual-Objective Fine-Tuning of BERT for Entity Matching

1 code implementation Proceedings of the VLDB Endowment 2021 Ralph Peeters, Christian Bizer

The task can be approached by learning a binary classifier which distinguishes pairs of entity descriptions for the same real-world entity from descriptions of different entities.

Entity Resolution Multi-class Classification

Profiling Entity Matching Benchmark Tasks

1 code implementation International Conference on Information & Knowledge Management 2020 Anna Primpeli, Christian Bizer

In order to enable the exact reproducibility of evaluation results, matching tasks need to contain exactly defined sets of matching and non-matching record pairs, as well as a fixed development and test split.

Entity Resolution Feature Engineering

Intermediate Training of BERT for Product Matching

2 code implementations DI2KG: International Workshop on Challenges and Experiences from Data Integration to Knowledge Graphs @ VLDB 2020 2020 Ralph Peeters, Christian Bizer, Goran Glavas

Adding the masked language modeling objective in the intermediate training step in order to further adapt the language model to the application domain leads to an additional increase of up to 3% F1.

 Ranked #1 on Entity Resolution on WDC Computers-small (using extra training data)

Entity Resolution Language Modelling +1

A Large DataBase of Hypernymy Relations Extracted from the Web.

no code implementations LREC 2016 Julian Seitner, Christian Bizer, Kai Eckert, Stefano Faralli, Robert Meusel, Heiko Paulheim, Simone Paolo Ponzetto

Hypernymy relations (those where an hyponym term shares a {``}isa{''} relationship with his hypernym) play a key role for many Natural Language Processing (NLP) tasks, e. g. ontology learning, automatically building or extending knowledge bases, or word sense disambiguation and induction.

Word Sense Disambiguation

DBpedia: A Multilingual Cross-domain Knowledge Base

no code implementations LREC 2012 Pablo Mendes, Max Jakob, Christian Bizer

The DBpedia project extracts structured information from Wikipedia editions in 97 different languages and combines this information into a large multi-lingual knowledge base covering many specific domains and general world knowledge.

Entity Linking Question Answering +2

Evaluating the Impact of Phrase Recognition on Concept Tagging

no code implementations LREC 2012 Pablo Mendes, Joachim Daiber, Rohana Rajapakse, Felix Sasaki, Christian Bizer

In this paper we evaluate the impact of the phrase recognition step on the ability of the system to correctly reproduce the annotations of a gold standard in an unsupervised setting.

Entity Linking Named Entity Recognition +1

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