Dual-objective fine-tuning of BERT for entity matching
An increasing number of data providers have adopted shared numbering schemes such as
GTIN, ISBN, DUNS, or ORCID numbers for identifying entities in the respective domain. This …
GTIN, ISBN, DUNS, or ORCID numbers for identifying entities in the respective domain. This …
Entity matching using large language models
Entity matching is the task of deciding whether two entity descriptions refer to the same real-
world entity. Entity matching is a central step in most data integration pipelines. Many state …
world entity. Entity matching is a central step in most data integration pipelines. Many state …
AIS-based intelligent vessel trajectory prediction using bi-LSTM
CH Yang, CH Wu, JC Shao, YC Wang… - IEEE Access, 2022 - ieeexplore.ieee.org
Accurate vessel trajectory prediction is essential for maritime traffic control and
management. In addition to collision avoidance, accurate vessel trajectory prediction can …
management. In addition to collision avoidance, accurate vessel trajectory prediction can …
The WDC training dataset and gold standard for large-scale product matching
A current research question in the area of entity resolution (also called link discovery or
duplicate detection) is whether and in which cases embeddings and deep neural network …
duplicate detection) is whether and in which cases embeddings and deep neural network …
WDC products: A multi-dimensional entity matching benchmark
The difficulty of an entity matching task depends on a combination of multiple factors such as
the amount of corner-case pairs, the fraction of entities in the test set that have not been …
the amount of corner-case pairs, the fraction of entities in the test set that have not been …
[PDF][PDF] Intermediate training of BERT for product matching
Product matching is the task of deciding if offers originating from different web-shops refer to
the same real-world product. This is a central task for e-commerce applications such as …
the same real-world product. This is a central task for e-commerce applications such as …
BERT-based similarity learning for product matching
Product matching, ie, being able to infer the product being sold for a merchant-created offer,
is crucial for any e-commerce marketplace, enabling product-based navigation, price …
is crucial for any e-commerce marketplace, enabling product-based navigation, price …
Siamese networks for large-scale author identification
C Saedi, M Dras - Computer Speech & Language, 2021 - Elsevier
Authorship attribution is the process of identifying the author of a text. Approaches to tackling
it have been conventionally divided into classification-based ones, which work well for small …
it have been conventionally divided into classification-based ones, which work well for small …
Automated identification of libraries from vulnerability data
Software Composition Analysis (SCA) has gained traction in recent years with a number of
commercial offerings from various companies. SCA involves vulnerability curation process …
commercial offerings from various companies. SCA involves vulnerability curation process …
Using schema. org annotations for training and maintaining product matchers
Product matching is a central task within e-commerce applications such as price comparison
portals and online market places. State-of-the-art product matching methods achieve F1 …
portals and online market places. State-of-the-art product matching methods achieve F1 …