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Found 7 papers, 7 papers with code
Bootstrapping Multilingual Metadata Extraction: A Showcase in Cyrillic
Applications based on scholarly data are of ever increasing importance.
HyperPIE: Hyperparameter Information Extraction from Scientific Publications
We create a labeled data set covering publications from a variety of computer science disciplines.
CoCon: A Data Set on Combined Contextualized Research Artifact Use
To enable more holistic analyses and systems dealing with academic publications and their content, we propose CoCon, a large scholarly data set reflecting the combined use of research artifacts, contextualized in academic publications' full-text.
unarXive 2022: All arXiv Publications Pre-Processed for NLP, Including Structured Full-Text and Citation Network
Large-scale data sets on scholarly publications are the basis for a variety of bibliometric analyses and natural language processing (NLP) applications.
Cross-Lingual Citations in English Papers: A Large-Scale Analysis of Prevalence, Usage, and Impact
Citation information in scholarly data is an important source of insight into the reception of publications and the scholarly discourse.
Citation Intent Classification
Cross-Lingual Entity Linking
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Semantic Modelling of Citation Contexts for Context-aware Citation Recommendation
New research is being published at a rate, at which it is infeasible for many scholars to read and assess everything possibly relevant to their work.
unarXive: A Large Scholarly Data Set with Publications' Full-Text, Annotated In-Text Citations, and Links to Metadata
The data set, which is made freely available for research purposes, not only can enhance the future evaluation of research paper-based and citation context-based approaches, but also serve as a basis for new ways to analyze in-text citations, as we show prototypically in this article.
