piskorski.waw.pl

Jakub Piskorski

I am an aficionado of Natural Language Processing (NLP), with strong focus on Information Extraction, Finite-state Technology, and the development of efficient Text Mining tools that REALLY WORK! Named-entity recognition and normalisation, name matching, event extraction, multilingual domain-adaptive information extraction techniques. Finite-state automata and transducers, finite-state based grammar formalisms, compression techniques, pattern matching.

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Jakub Piskorski | piskorski.waw.pl Reviews

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I am an aficionado of Natural Language Processing (NLP), with strong focus on Information Extraction, Finite-state Technology, and the development of efficient Text Mining tools that REALLY WORK! Named-entity recognition and normalisation, name matching, event extraction, multilingual domain-adaptive information extraction techniques. Finite-state automata and transducers, finite-state based grammar formalisms, compression techniques, pattern matching.

<META> KEYWORDS

1 Jakub Piskorski

2 Jakub Piskorski

3 Jakub Piskorski

4 Information Extraction

5 Natural Language Processing

6 Finite-State Technlogy

7 Open Source Intelligence

8 Text Mining

9 News Surveillance

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Jakub Piskorski | piskorski.waw.pl Reviews

https://piskorski.waw.pl

I am an aficionado of Natural Language Processing (NLP), with strong focus on Information Extraction, Finite-state Technology, and the development of efficient Text Mining tools that REALLY WORK! Named-entity recognition and normalisation, name matching, event extraction, multilingual domain-adaptive information extraction techniques. Finite-state automata and transducers, finite-state based grammar formalisms, compression techniques, pattern matching.

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piskorski.waw.pl

1

Jakub Piskorski

http://www.piskorski.waw.pl/activities.html

Some research projects, software and resources development in which I am or was involved:. EMM Open Source Intelligence Suite ( EMM OSINT Suite. Frontex Real-time Event Extraction Framework ( Overview. Gazetteer for Polish Named Entities ( Resources. Europe Media Monitor ( EMM. News cluster Event eXtraction Using language Structures( NEXUS. Linguistic Features for Web spam detection ( Corpus. EXtraction PatteRn Engine and Specification Suite ( ExPRESS. Core Linguistic Entity Online Extraction ( CORLEONE.

2

Jakub Piskorski

http://www.piskorski.waw.pl/events.html

Balto-Slavonic Natural Language Processing ( BSNLP 2017. Balto-Slavonic Natural Language Processing ( BSNLP 2015. Balto-Slavonic Natural Language Processing ( BSNLP 2013. Workshop on Innovation in Border Control 2013 ( WIBC 2013. Workshop on Innovation in Border Control 2012 ( WIBC 2012. Balto-Slavonic Natural Language Processing ( BSNLP 2011. Mining User-Generated Content for Security ( MINUCS 2009. Finite-State Methods and Natural Language Processing ( FSMNLP 2009.

3

Jakub Piskorski

http://www.piskorski.waw.pl/varia.html

Under construction. More soon .

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Jakub Piskorski

http://www.piskorski.waw.pl/education.html

PhD in Computer Science:. Received from the Polish Academy of Sciences. In Warsaw, Poland in 2002. Dissertation title: Shallow Text Processor based on Finite-State Technology for Information Extraction. Grade: Summa Cum Laude. Supervisor: W. Abramowicz, Reviewers: A. Skowron and M. Kłopotek. MSc in Computer Science (with minor subject Computational Linguistics). Received from the Technical Faculty of Saarland University. Saarbrücken, Germany, 1994. Thesis title: Parallel graph algorithms for the Hypercube.

5

Jakub Piskorski

http://www.piskorski.waw.pl/publications.html

Corleone - Core Linguistic Entity Online Extraction: Revised and enhanced version. Technical Report. Joint Research Centre of the European Commission, 2016. J Piskorski, L. Pivovarova, H. Tanev, J. Šnajder, R. Yangarber. Proceedings of the 5-th Biennial Workshop on Balto-Slavic Natural Language Processing. Held at RANLP 2015. Hissar, Bulgaria, 10-11 September 2015. [ PDF. On Named Entity Recognition in Targeted Twitter Streams in Polish. Held at RANLP 2015. Held at ACL 2013. J Piskorski, M. Ehrmann.

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I am an aficionado of Natural Language Processing (NLP), with strong focus on Information Extraction, Finite-state Technology, and the development of efficient Text Mining tools that REALLY WORK! Named-entity recognition and normalisation, name matching, event extraction, multilingual domain-adaptive information extraction techniques. Finite-state automata and transducers, finite-state based grammar formalisms, compression techniques, pattern matching.

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