Search Results for author: Iana Atanassova

Found 8 papers, 0 papers with code

Logical Layout Analysis Applied to Historical Newspapers

no code implementations NLP4DH (ICON) 2021 Nicolas Gutehrlé, Iana Atanassova

The evaluation shows that our methodology performs well for the identification of first lines of paragraphs and text lines, with F1 above 0. 9.

Understanding Archives: Towards New Research Interfaces Relying on the Semantic Annotation of Documents

no code implementations28 Mar 2024 Nicolas Gutehrlé, Iana Atanassova

The digitisation campaigns carried out by libraries and archives in recent years have facilitated access to documents in their collections.

Distantly Supervised Morpho-Syntactic Model for Relation Extraction

no code implementations18 Jan 2024 Nicolas Gutehrlé, Iana Atanassova

The task of Information Extraction (IE) involves automatically converting unstructured textual content into structured data.

Relation Relation Extraction

UnScientify: Detecting Scientific Uncertainty in Scholarly Full Text

no code implementations26 Jul 2023 Panggih Kusuma Ningrum, Philipp Mayr, Iana Atanassova

This demo paper presents UnScientify, an interactive system designed to detect scientific uncertainty in scholarly full text.

Information Retrieval Retrieval +1

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

no code implementations16 Feb 2022 Nicolas Gutehrlé, Iana Atanassova

It has especially better Recall results, indicating that our system covers more types of every logical label than the other two models.

BIG-bench Machine Learning

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

no code implementations17 Jun 2015 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 Conference (ISSI 2015), brought together researchers in Bibliometrics and Computational Linguistics in order to study the ways Bibliometrics can benefit from large-scale text analytics and sense mining of scientific papers, thus exploring the interdisciplinarity of Bibliometrics and Natural Language Processing (NLP).

Mining Scientific Papers for Bibliometrics: a (very) Brief Survey of Methods and Tools

no code implementations6 May 2015 Iana Atanassova, Marc Bertin, Philipp Mayr

The Open Access movement in scientific publishing and search engines like Google Scholar have made scientific articles more broadly accessible.

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