Mathematical Entity Linking Methods and Applications



de

Éditeur :

Springer Vieweg


Paru le : 2025-04-07



eBook Téléchargement , DRM LCP 🛈 DRM Adobe 🛈
Lecture en ligne (streaming)
94,94

Téléchargement immédiat
Dès validation de votre commande
Ajouter à ma liste d'envies
Image Louise Reader présentation

Louise Reader

Lisez ce titre sur l'application Louise Reader.

Description

This research book explores the adaptation of traditional Entity Linking techniques to Mathematical Entity Linking (MathEL) for STEM disciplines, addressing the limitations of current Information Retrieval methods in handling mathematical expressions. By developing and evaluating novel MathEL approaches using AI, Machine Learning, and the Wikidata Knowledge Graph, significant progress is achieved in areas such as Formula Concept recognition, semantic formula search, mathematical question answering, physics exam question generation, and STEM document classification. The study also introduces a suite of open-source Wikimedia MathEL tools, including AnnoMathTeX, MathQA, and PhysWikiQuiz, designed to advance Mathematical Information Retrieval and support innovative applications in academic and educational contexts.
Pages
243 pages
Collection
n.c
Parution
2025-04-07
Marque
Springer Vieweg
EAN papier
9783658464738
EAN PDF
9783658464745

Informations sur l'ebook
Nombre pages copiables
2
Nombre pages imprimables
24
Taille du fichier
11233 Ko
Prix
94,94 €
EAN EPUB
9783658464745

Informations sur l'ebook
Nombre pages copiables
2
Nombre pages imprimables
24
Taille du fichier
19180 Ko
Prix
94,94 €

Philipp Scharpf studied physics at ETH Zurich, the University of Zurich and the University of Constance and completed his doctorate in computer science in the field of artificial intelligence at the University of Constance and the University of Göttingen. Since 2022, he has been a freelance consultant for data and AI solutions and a lecturer at the University of Stuttgart for Big Data and Learning Analytics.

Suggestions personnalisées