Search Results for author:
Found 9 papers, 6 papers with code
Supervised Contrastive Learning for Product Matching
We thus conclude that contrastive pre-training has a high potential for product matching use cases in which explicit supervision is available.
Ranked #1 on
Entity Resolution
on Abt-Buy
Cross-Language Learning for Entity Matching
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.
Graph-boosted Active Learning for Multi-Source Entity Resolution
ALMSER exploits the rich correspondence graph that exists in multi-source settings for selecting informative record pairs.
Ranked #1 on
Entity Resolution
on MusicBrainz20K
Dual-Objective Fine-Tuning of BERT for Entity Matching
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.
Ranked #1 on
Entity Resolution
on WDC Watches-xlarge
Profiling Entity Matching Benchmark Tasks
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.
Ranked #2 on
Entity Resolution
on Amazon-Google
Intermediate Training of BERT for Product Matching
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)
A Large DataBase of Hypernymy Relations Extracted from the Web.
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.
DBpedia: A Multilingual Cross-domain Knowledge Base
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.
Evaluating the Impact of Phrase Recognition on Concept Tagging
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.
