no code implementations • sdp (COLING) 2022 • Arman Cohan, Guy Feigenblat, Dayne Freitag, Tirthankar Ghosal, Drahomira Herrmannova, Petr Knoth, Kyle Lo, Philipp Mayr, Michal Shmueli-Scheuer, Anita de Waard, Lucy Lu Wang
With the ever-increasing pace of research and high volume of scholarly communication, scholars face a daunting task.
no code implementations • NAACL (sdp) 2021 • Iz Beltagy, Arman Cohan, Guy Feigenblat, Dayne Freitag, Tirthankar Ghosal, Keith Hall, Drahomira Herrmannova, Petr Knoth, Kyle Lo, Philipp Mayr, Robert Patton, Michal Shmueli-Scheuer, Anita de Waard, Kuansan Wang, Lucy Wang
With the ever-increasing pace of research and high volume of scholarly communication, scholars face a daunting task.
no code implementations • EMNLP (sdp) 2020 • Muthu Kumar Chandrasekaran, Guy Feigenblat, Dayne Freitag, Tirthankar Ghosal, Eduard Hovy, Philipp Mayr, Michal Shmueli-Scheuer, Anita de Waard
To reach to the broader NLP and AI/ML community, pool distributed efforts and enable shared access to published research, we held the 1st Workshop on Scholarly Document Processing at EMNLP 2020 as a virtual event.
no code implementations • 20 Dec 2023 • Yavuz Selim Kartal, Muhammad Ahsan Shahid, Sotaro Takeshita, Tornike Tsereteli, Andrea Zielinski, Benjamin Zapilko, Philipp Mayr
The VADIS system addresses the demand of providing enhanced information access in the domain of the social sciences.
no code implementations • 26 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.
1 code implementation • 25 Jul 2023 • Nina Smirnova, Philipp Mayr
The Flair Embeddings model trained on the medium corpus with the latest FLAIR version showed the best accuracy of 0. 79.
no code implementations • 27 Mar 2023 • Dwaipayan Roy, Zeljko Carevic, Philipp Mayr
In this paper, we investigate the retrievability in an integrated search system consisting of items from various categories, particularly focussing on datasets, publications \ijdl{and variables} in a real-life Digital Library (DL).
no code implementations • 18 Oct 2022 • Nina Smirnova, Philipp Mayr
Six types of acknowledged entities, i. e., funding agency, grant number, individuals, university, corporation and miscellaneous, were extracted from the acknowledgement texts using a Named Entity Recognition (NER) tagger and subsequently examined.
1 code implementation • sdp (COLING) 2022 • Tornike Tsereteli, Yavuz Selim Kartal, Simone Paolo Ponzetto, Andrea Zielinski, Kai Eckert, Philipp Mayr
In this paper, we provide an overview of the SV-Ident shared task as part of the 3rd Workshop on Scholarly Document Processing (SDP) at COLING 2022.
Ranked #1 on Variable Disambiguation on SV-Ident
no code implementations • 14 Sep 2022 • Yavuz Selim Kartal, Sotaro Takeshita, Tornike Tsereteli, Kai Eckert, Henning Kroll, Philipp Mayr, Simone Paolo Ponzetto, Benjamin Zapilko, Andrea Zielinski
Nowadays there is a growing trend in many scientific disciplines to support researchers by providing enhanced information access through linking of publications and underlying datasets, so as to support research with infrastructure to enhance reproducibility and reusability of research results.
1 code implementation • 17 Aug 2022 • Fakhri Momeni, Stefan Dietze, Philipp Mayr, Kristin Biesenbender, Isabella Peters
Employing correlation and regression analyses, we describe the relationship between authors affiliated with countries from different income levels, their choice of publishing model, and the citation impact of their papers.
no code implementations • 22 Jun 2022 • Nina Smirnova, Philipp Mayr
We trained and implemented a named entity recognition (NER) task using the Flair NLP-framework.
no code implementations • 2 May 2022 • Dwaipayan Roy, Zeljko Carevic, Philipp Mayr
In this paper, we investigate the retrievability of datasets and publications in a real-life Digital Library (DL).
no code implementations • 23 Jun 2021 • Zeyd Boukhers, Philipp Mayr, Silvio Peroni
Automatic processing of bibliographic data becomes very important in digital libraries, data science and machine learning due to its importance in keeping pace with the significant increase of published papers every year from one side and to the inherent challenges from the other side.
no code implementations • 8 Jun 2021 • Thomas Krämer, Zeljko Carevic, Dwaipayan Roy, Claus-Peter Klas, Philipp Mayr
For the demonstration, ConSTR is built on the arXiv, an academic repository consisting of 1. 8 million documents.
no code implementations • 4 Jun 2020 • Zeljko Carevic, Dwaipayan Roy, Philipp Mayr
Amongst others, we report our findings of dataset retrieval sessions with respect to query characteristics, interaction sequences and topical drift within 65, 000 unique sessions.
1 code implementation • 25 May 2020 • Marilena Daquino, Silvio Peroni, David Shotton, Giovanni Colavizza, Behnam Ghavimi, Anne Lauscher, Philipp Mayr, Matteo Romanello, Philipp Zumstein
A variety of schemas and ontologies are currently used for the machine-readable description of bibliographic entities and citations.
Digital Libraries
no code implementations • 14 May 2020 • Sérgio Nunes, Suzanne Little, Sumit Bhatia, Ludovico Boratto, Guillaume Cabanac, Ricardo Campos, Francisco M. Couto, Stefano Faralli, Ingo Frommholz, Adam Jatowt, Alípio Jorge, Mirko Marras, Philipp Mayr, Giovanni Stilo
In this report, we describe the experience of organizing the ECIR 2020 Workshops in this scenario from two perspectives: the workshop organizers and the workshop participants.
no code implementations • 20 Jan 2020 • Guillaume Cabanac, Ingo Frommholz, Philipp Mayr
The Bibliometric-enhanced Information Retrieval workshop series (BIR) was launched at ECIR in 2014 \cite{MayrEtAl2014} and it was held at ECIR each year since then.
no code implementations • 11 Sep 2019 • Guillaume Cabanac, Ingo Frommholz, Philipp Mayr
The Bibliometric-enhanced Information Retrieval workshop series (BIR) at ECIR tackled issues related to academic search, at the crossroads between Information Retrieval and Bibliometrics.
no code implementations • 11 Jun 2019 • Behnam Ghavimi, Wolfgang Otto, Philipp Mayr
Citation matching is a challenging task due to different problems such as the variety of citation styles, mistakes in reference strings and the quality of identified reference segments.
no code implementations • 27 Mar 2019 • Wolfgang Otto, Behnam Ghavimi, Philipp Mayr, Rajesh Piryani, Vivek Kumar Singh
We have found that these references are distinguishable by the IMRaD sections of their citation.
Digital Libraries
no code implementations • 17 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).
no code implementations • 6 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.