Citation recommendation describes the task of recommending citations for a given text. Due
to the overload of published scientific works in recent years on the one hand, and the need …

We consider the task of reference mining: the detection, extraction and classification of
references within the full text of scholarly publications. Reference mining brings forward …

In this paper, we compare the performance of several popular pre-trained reference
extraction and segmentation toolkits combined in different pipeline configurations on three …

The automatic collection of materials information from research papers using Natural
Language Processing (NLP) is highly required for rapid materials development using big …

Citations are very important parameters and are used to take many important decisions like
ranking of researchers, institutions, countries, and to measure the relationship between …

With the help of literature management software, references can be collected, managed, and
exported in bibliographies. Online resources offer functionalities to import references into …

In the rapidly evolving field of data science, efficiently navigating the expansive body of
academic literature is crucial for informed decision-making and innovation. This paper …

Many solutions have been provided to extract bibliographic references from PDF papers.
Machine learning, rule-based and regular expressions approaches were among the most …

Zitationsnetzwerke akademischer Publikationen werden zur Themenerkennung und-
verfolgung mittels bibliometrischer Verfahren erstellt und zerteilt. Ergebnisse können jedoch …

The scientific literature, which contains vast human knowledge, is rapidly expanding, posing
challenges in organising and retrieving information. The use of big data techniques aids in …