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Adam Radziszewski

dblp:04/7248 · DBLP profile ↗
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3ranked-venue papers
1as first author
0since 2021 · last 2014
—ORCID · none

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

Artificial intelligence and machine learning · 3 · 1 first-authorSoftware engineering, systems software and programming languages · 1Applied, 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

TopicWeightPapersLastEvidence papers
Natural language and speech › Information extraction and text analysis › morphological analysis
lemmatization		 0.212013
Learning to lemmatise Polish noun phrases · ACL (1) 2013
Natural language and speech › Information extraction and text analysis
morphological analysis		 0.012013
Learning to lemmatise Polish noun phrases · ACL (1) 2013
YearPublicationVenuePosition
2014 Ladder Tagger-Splitting Decision Space to Boost Tagging Quality
abstract
This paper describes a part of speech tagger.The tagger is based on a set of probability mixture models.Each mixture model is responsible for tagging of a specific class of words, sharing similar context properties.Probability mixture models contain 25 various mixture components.The tagger is tested on Polish language and compared to other available taggers.
Mariusz Paradowski, Adam Radziszewski
 FedCSIS2
2013 Learning to lemmatise Polish noun phrases
Adam Radziszewski
 ACL (1)1
2012 KPWr: Towards a Free Corpus of Polish
Bartosz Broda, Michal Marcinczuk, Marek Maziarz, Adam Radziszewski, Adam Wardynski
 LREC4