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20152025
most citedMining Scientific Papers for Bibliometrics: a (very) Brief Survey of Methods and Tools

7 citations · 15 across the 8 of their papers we have counts for

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5 papers · 1 filter

cs.CL2025★ 1 cited

Annotating Scientific Uncertainty: A comprehensive model using linguistic patterns and comparison with existing approaches

Panggih Kusuma Ningrum, Philipp Mayr, Nina Smirnova +1

UnScientify, a system designed to detect scientific uncertainty in scholarly full text. The system utilizes a weakly supervised technique to identify verbally expressed uncertainty…

cs.CL2024

Distantly Supervised Morpho-Syntactic Model for Relation Extraction

Nicolas Gutehrlé, Iana Atanassova

The task of Information Extraction (IE) involves automatically converting unstructured textual content into structured data. Most research in this field concentrates on extracting…

cs.CL2023

UnScientify: Detecting Scientific Uncertainty in Scholarly Full Text

Panggih Kusuma Ningrum, Philipp Mayr, Iana Atanassova

This demo paper presents UnScientify, an interactive system designed to detect scientific uncertainty in scholarly full text. The system utilizes a weakly supervised technique that…

cs.CL2022★ 6 cited

Processing the structure of documents: Logical Layout Analysis of historical newspapers in French

Nicolas Gutehrlé, Iana Atanassova

Background. In recent years, libraries and archives led important digitisation campaigns that opened the access to vast collections of historical documents. While such documents ar…

cs.CL2015

Editorial for the First Workshop on Mining Scientific Papers: Computational Linguistics and Bibliometrics

Iana Atanassova, Marc Bertin, Philipp Mayr

The workshop "Mining Scientific Papers: Computational Linguistics and Bibliometrics" (CLBib 2015), co-located with the 15th International Society of Scientometrics and Informetrics…