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20162026
most citedLifelong Learning of Graph Neural Networks for Open-World Node Classification

25 citations · 179 across the 54 of their papers we have counts for

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5 papers · 1 filter

cs.DL2022

Reducing a Set of Regular Expressions and Analyzing Differences of Domain-specific Statistic Reporting

Tobias Kalmbach, Marcel Hoffmann, Nicolas Lell +1

Due to the large amount of daily scientific publications, it is impossible to manually review each one. Therefore, an automatic extraction of key information is desirable. In this…

cs.DL2021★ 1 cited

STEREO: A Pipeline for Extracting Experiment Statistics, Conditions, and Topics from Scientific Papers

Steffen Epp, Marcel Hoffmann, Nicolas Lell +2

A common writing style for statistical results are the recommendations of the American Psychology Association, known as APA-style. However, in practice, writing styles vary as repo…

cs.DL2018★ 22 cited

Using Deep Learning for Title-Based Semantic Subject Indexing to Reach Competitive Performance to Full-Text

Florian Mai, Lukas Galke, Ansgar Scherp

For (semi-)automated subject indexing systems in digital libraries, it is often more practical to use metadata such as the title of a publication instead of the full-text or the ab…

cs.DL2017

Using Titles vs. Full-text as Source for Automated Semantic Document Annotation

Lukas Galke, Florian Mai, Alan Schelten +2

A significant part of the largest Knowledge Graph today, the Linked Open Data cloud, consists of metadata about documents such as publications, news reports, and other media articl…

cs.DL2016★ 23 cited

Profiling vs. Time vs. Content: What does Matter for Top-k Publication Recommendation based on Twitter Profiles? - An Extended Technical Report

Chifumi Nishioka, Ansgar Scherp

So far it is unclear how different factors of a scientific publication recommender system based on users' tweets have an influence on the recommendation performance. We examine thr…