Erik van der Goot

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6ranked-venue papers

0as first author

0since 2021 · last 2012

—ORCID · none

Domains — the database's venue-derived domains; a paper can count in several

Artificial intelligence and machine learning · 3Security and privacy · 2Databases, data management, data science and information retrieval · 2Applied, interdisciplinary, general and emerging computing · 1

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Artificial intelligence

1 paper

Information extraction and text analysis · 100%

Topics — the 2 heaviest of 2, each with the papers that count most for it

Topic	Weight	Papers	Last	Evidence papers
Natural language and speech › Information extraction and text analysis open source intelligence	0.1	1	2009	Near real time information mining in multilingual news · WWW 2009
Natural language and speech › Information extraction and text analysis event extraction	0.0	1	2009	Near real time information mining in multilingual news · WWW 2009

Methods — techniques the papers use, named apart from their topics

text mining · 0.1statistical analysis · 0.1machine learning · 0.1

Year	Publication	Venue	Position
2012	ONTS: "Optima" News Translation System Marco Turchi, Martin Atkinson, Alastair Wilcox, Brett Crawley, Stefano Bucci, Ralf Steinberger, Erik van der Goot	EACL	7
2010	Sentiment Analysis in the News Alexandra Balahur, Ralf Steinberger, Mijail A. Kabadjov, Vanni Zavarella, Erik van der Goot, Matina Halkia, Bruno Pouliquen, Jenya Belyaeva	LREC	5
2010	NewsGist: A Multilingual Statistical News Summarizer Mijail A. Kabadjov, Martin Atkinson, Josef Steinberger, Ralf Steinberger, Erik van der Goot	ECML/PKDD (3)	5
2009	Near real time information mining in multilingual news abstract This paper presents a near real-time multilingual news monitoring and analysis system that forms the backbone of our research work. The system integrates technologies to address the problems related to information extraction and analysis of open source intelligence on the World Wide Web. By chaining together different techniques in text mining, automated machine learning and statistical analysis, we can automatically determine who, where and, to a certain extent, what is being reported in news articles. Martin Atkinson, Erik van der Goot	WWW	2
2006	Towards Automatic Event Tracking Clive Best, Bruno Pouliquen, Ralf Steinberger, Erik van der Goot, Ken Blackler, Flavio Fuart, Tamara Oellinger, Camelia Ignat	ISI	4
2005	Thematic Indicators Derived from World News Reports Clive Best, Erik van der Goot, Monica de Paola	ISI	2