Member
Petr Knoth
Snr Research Fellow in Text and Data Mining
+44 (0)1908 654548
I lead the Big Scientific Data and Text Analytics Group (BSDTAG) doing R&D in the domains of text-mining, digital libraries and open access/science. I am the founder and head of CORE (core.ac.uk), a large full text aggregator of open access papers with millions of monthly active users. CORE makes research papers available for people to freely discover and access and for machines to text-mine.
Previously, I worked as a Senior Data Scientist at Mendeley on information extraction and content recommendation for research. I have a deep interest in the use of AI to improve research workflows. I have co-founded Semantometrics.org which aim to go beyond bibliometrics and altmetrics to produce new research evaluation methods that make use of the publication full-texts in research assessment.
I have been involved as a researcher and as a PI in over 20 European Commission, national and international funded research projects in the areas of text-mining, open science and eLearning.
Keys: Natural Language Processing, Text and data mining Open Access, Open Science, Scholarly communication Information Retrieval, Information Extraction, Recommendation systems, Scientometrics
Team: Valeriy Budko, Matteo Cancellieri, Catherine Kuliavets, Samuel Pearce, Nancy Pontika, Maria Tarasiuk
Projects
Technologies
Frictionless Data Exchange Across Research Data, Software and Scientific Paper Repositories
News
28 Apr 2022
24 Mar 2022
17 Mar 2022
02 Mar 2022
22 Feb 2022
Publications
N. Kunnath, S., Stauber, V., Wu, R., Pride, D., Botev, V. and Knoth, P. (2022) ACT2: A multi-disciplinary semi-structured dataset for importance and purpose classification of citations, Proceedings of the 13th Language Resources and Evaluation Conference, Marseille
Boch, M., Gindl, S., Barnett, A., Margetis, G., Mireles, V., Adamakis, E. and Knoth, P. (2022) A Systematic Review of Data Management Platforms, WorldCIST'22, Budva, Montenegro
Kusa, W., Hanbury, A. and Knoth, P. (2022) Automation of Citation Screening for Systematic Literature Reviews using Neural Networks: A Replicability Study, 44th European Conference on Information Retrieval, Stavanger, Norway
N. Kunnath, S., Pride, D., Herrmannova, D. and Knoth, P. (2021) Overview of the 2021 SDP 3C Citation Context Classification Shared Task, Second Workshop on Scholarly Document Processing (SDP), Mexico City, Mexico
Taha, A., Papariello, L., Alexandros, B., Knoth, P. and Lupu, M. (2021) Formal Analysis and Estimation of Chance in Datasets Based on Their Properties, pp. (Early Access)
