activity
19992020
most citedIntroduction to the CoNLL-2002 Shared Task: Language-Independent Named Entity Recognition

1.6k citations · 2k across the 12 of their papers we have counts for

collaborators

12 papers

cs.SI2020★ 8 cited

Dutch General Public Reaction on Governmental COVID-19 Measures and Announcements in Twitter Data

Shihan Wang, Marijn Schraagen, Erik Tjong Kim Sang +1

Public sentiment (the opinions, attitudes or feelings expressed by the public) is a factor of interest for government, as it directly influences the implementation of policies. Giv…

cs.CL2018

Utilizing a Transparency-driven Environment toward Trusted Automatic Genre Classification: A Case Study in Journalism History

Aysenur Bilgin, Laura Hollink, Jacco van Ossenbruggen +4

With the growing abundance of unlabeled data in real-world tasks, researchers have to rely on the predictions given by black-boxed computational models. However, it is an often neg…

cs.CL2003★ 41 cited

Introduction to the CoNLL-2003 Shared Task: Language-Independent Named Entity Recognition

Erik F. Tjong Kim Sang, Fien De Meulder

We describe the CoNLL-2003 shared task: language-independent named entity recognition. We give background information on the data sets (English and German) and the evaluation metho…

cs.CL2002★ 1.6k cited

Introduction to the CoNLL-2002 Shared Task: Language-Independent Named Entity Recognition

Erik F. Tjong Kim Sang

We describe the CoNLL-2002 shared task: language-independent named entity recognition. We give background information on the data sets and the evaluation method, present a general…

cs.CL2001★ 1 cited

Combining a self-organising map with memory-based learning

James Hammerton, Erik F. Tjong Kim Sang

Memory-based learning (MBL) has enjoyed considerable success in corpus-based natural language processing (NLP) tasks and is thus a reliable method of getting a high-level of perfor…

cs.CL2001★ 1 cited

Learning Computational Grammars

John Nerbonne, Anja Belz, Nicola Cancedda +7

This paper reports on the "Learning Computational Grammars" (LCG) project, a postdoc network devoted to studying the application of machine learning techniques to grammars suitable…