no code implementations • WOSP 2020 • Suchetha Nambanoor Kunnath, David Pride, Bikash Gyawali, Petr Knoth
Three teams participated in subtask A and four teams participated in subtask B.
1 code implementation • LREC 2022 • Suchetha Nambanoor Kunnath, Valentin Stauber, Ronin Wu, David Pride, Viktor Botev, Petr Knoth
This modified corpus has annotations for both citation function and importance classes newly enriched with supplementary contextual and non-contextual feature sets the selection of which follows from the lists of features used by the more successful teams in these shared tasks.
no code implementations • NAACL (sdp) 2021 • Suchetha N. Kunnath, David Pride, Drahomira Herrmannova, Petr Knoth
The task is composed of two subtasks: classifying citations based on their (Subtask A) purpose and (Subtask B) influence.
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 • 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.
1 code implementation • sdp (COLING) 2022 • Óscar E. Mendoza, Wojciech Kusa, Alaa El-Ebshihy, Ronin Wu, David Pride, Petr Knoth, Drahomira Herrmannova, Florina Piroi, Gabriella Pasi, Allan Hanbury
We present a new gold-standard dataset and a benchmark for the Research Theme Identification task, a sub-task of the Scholarly Knowledge Graph Generation shared task, at the 3rd Workshop on Scholarly Document Processing.
1 code implementation • NeurIPS 2023 • Wojciech Kusa, Oscar E. Mendoza, Matthias Samwald, Petr Knoth, Allan Hanbury
Systematic literature reviews (SLRs) play an essential role in summarising, synthesising and validating scientific evidence.
1 code implementation • 4 Sep 2023 • Wojciech Kusa, Petr Knoth, Allan Hanbury
To this end, we developed CRUISE-Screening, a web-based application for conducting living literature reviews - a type of literature review that is continuously updated to reflect the latest research in a particular field.
1 code implementation • 6 Jul 2023 • David Pride, Matteo Cancellieri, Petr Knoth
CORE-GPT's performance was evaluated on a dataset of 100 questions covering the top 20 scientific domains in CORE, resulting in 100 answers and links to 500 relevant articles.
no code implementations • 1 Jul 2023 • Wojciech Kusa, Óscar E. Mendoza, Petr Knoth, Gabriella Pasi, Allan Hanbury
Our approach involves two key components in a pipeline-based model: (i) a data enrichment technique for enhancing both queries and documents during the first retrieval stage, and (ii) a novel re-ranking schema that uses a Transformer network in a setup adapted to this task by leveraging the structure of the CT documents.
no code implementations • 30 Jun 2023 • Wojciech Kusa, Guido Zuccon, Petr Knoth, Allan Hanbury
We find that accounting for the difference in review outcomes leads to a different assessment of the quality of a system than if traditional evaluation measures were used.
no code implementations • 11 Dec 2022 • Mike Thelwall, Kayvan Kousha, Mahshid Abdoli, Emma Stuart, Meiko Makita, Paul Wilson, Jonathan Levitt, Petr Knoth, Matteo Cancellieri
National research evaluation initiatives and incentive schemes have previously chosen between simplistic quantitative indicators and time-consuming peer review, sometimes supported by bibliometrics.
no code implementations • 14 Oct 2022 • Abdel Aziz Taha, Leonhard Hennig, Petr Knoth
In this paper, we propose novel methods that, given a neural network classification model, estimate uncertainty of particular predictions generated by this model.
1 code implementation • 19 Jan 2022 • Wojciech Kusa, Allan Hanbury, Petr Knoth
In this work, we conduct a replicability study of the first two deep learning papers for citation screening and evaluate their performance on 23 publicly available datasets.
no code implementations • LREC 2020 • Bikash Gyawali, Lucas Anastasiou, Petr Knoth
Deduplication is the task of identifying near and exact duplicate data items in a collection.
no code implementations • 19 Jul 2018 • Joeran Beel, Andrew Collins, Oliver Kopp, Linus W. Dietz, Petr Knoth
We present the architecture of Mr. DLib's living lab as well as usage statistics on the first sixteen months of operating it.