Blar i NTNU Open på forfatter "Barlaug, Nils"
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Active Learning with Transformer Pre-trained Language Models for Entity Matching
Nygard, Mikkel; Samuelsen, Øyvind (Master thesis, 2021)Entitetsmatching refererer til problemet med å finne ut hvilke data som refererer til den samme virkelige entiteten. Nylig, takket være fremveksten av ferdigtrente Transformer språkmodeller (TPLMs), har entitetsmatching ... -
Active Learning with Transformer Pre-trained Language Models for Entity Matching
Samuelsen, Øyvind; Nygard, Mikkel Benjamin Lerberg (Master thesis, 2021)Entity matching refers to the problem of finding which records refer to the same real-world entity. Recently, thanks to the rise of Transformer pre-trained language models (TPLMs), the field of entity matching has seen new ... -
Leveraging Natural Language Processing in Data Synthesis for use in Entity Matching
Nilsen, Daniel; Simmersholm, Aleksander (Master thesis, 2022)Entity Matching (EM) er en vanskelig oppgave som tidligere måtte bli utført manuelt. Metoder som benytter Kunstig Intelligens har siden blitt utviklet for å automatisere denne prosessen, men for å prestere bra er de avhengig ... -
Leveraging Natural Language Processing in Data Synthesis for use in Entity Matching
Nilsen, Daniel; Simmersholm, Aleksander (Master thesis, 2022)Entity Matching (EM) er en vanskelig oppgave som tidligere måtte bli utført manuelt. Metoder som benytter Kunstig Intelligens har siden blitt utviklet for å automatisere denne prosessen, men for å prestere bra er de avhengig ... -
Neural Networks for Entity Matching: A Survey
Barlaug, Nils; Gulla, Jon Atle (Peer reviewed; Journal article, 2021)Entity matching is the problem of identifying which records refer to the same real-world entity. It has been actively researched for decades, and a variety of different approaches have been developed. Even today, it remains ... -
Pre-trained transformers with transfer learning and handcrafted-features for entity matching
Tokstad, Thea (Master thesis, 2021)Entitetsmatching (EM) er det å identifisere dataoppføringer fra forskjellige databaser som referer til samme entitet. Nylig så har transformer-baserte språkmodeller blitt introdusert til EM. Disse har vist seg å være svært ... -
Tailoring Entity Matching for Industrial Settings
Barlaug, Nils (Chapter, 2020)Entity matching has received significant attention from the research community over many years. Despite some limited success, most state-of-the-art methods see no widespread usage in industry. In this paper, we present ... -
Towards Faster Development of Deep Learning Models Using Meta-Learning
Baklid, Martin; Barlaug, Nils (Master thesis, 2018)Deep learning has, in relatively few years, improved significantly the performance of many machine learning applications. Even though its popularity has surged, it's not always easy to apply deep learning to a real-world ... -
Transformer Pre-Trained Language Models and Active Learning for Improved Blocking Performance in Entity Matching
Folstad, Jon Steinar (Master thesis, 2021)Entitetsgjenkjenning har som mål å redusere entropien mellom to ulike datakilder ved å identifisere hvilke record som refererer til de samme entitetene i virkeligheten. Vanligvis krever mange foreslåtte blokkeringsmetoder ...