Effective Unsupervised Author Disambiguation with Relative Frequencies

Autor: Backes, Tobias

This work addresses the problem of author name homonymy in the Web of Science. Aiming for an efficient, simple and straightforward solution, we introduce a novel probabilistic similarity measure for author name disambiguation based on feature overlap

Externí odkaz: http://arxiv.org/abs/1808.04216

Comparing free reference extraction pipelines.

Autor: Backes, Tobias¹ (AUTHOR) t.backes@qimia.de, Iurshina, Anastasiia² (AUTHOR), Shahid, Muhammad Ahsan³ (AUTHOR), Mayr, Philipp³ (AUTHOR) philipp.mayr@gesis.org

Publikováno v: International Journal on Digital Libraries. Dec2024, Vol. 25 Issue 4, p841-853. 13p.

The Impact of Name-Matching and Blocking on Author Disambiguation

Autor: Backes, Tobias

Publikováno v: Proceedings of the 27th ACM Conference on Information and Knowledge Management, 803-812, ACM International Conference on Information and Knowledge Management (CIKM) "From Big Data and Big Information to Big Knowledge", 27

In this work, we address the problem of blocking in the context of author name disambiguation. We describe a framework that formalizes different ways of name-matching to determine which names could potentially refer to the same author. We focus on na

Externí odkaz: https://www.ssoar.info/ssoar/handle/document/60474

An integrated platform for comparing reference extraction toolkits and provisioning their output

Autor: Mayr, Philipp, Backes, Tobias, Shahid, Muhammad Ahsan, Iurshina, Anastasiia

OUTCITE - An integrated platform for comparing reference extraction toolkits and provisioning their output Tobias Backes, Muhammad Ahsan Shahid, Anastasiia Iurshina, Philipp Mayr In this presentation, we show how the OUTCITE Demonstrator can be used

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::132dd71122af2a0da19815feab92f8bd

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