HFST-SweNER --- A New NER Resource for Swedish

no code implementations • LREC 2014 • Dimitrios Kokkinakis, Jyrki Niemi, Sam Hardwick, Krister Lind{\'e}n, Lars Borin

Named entity recognition (NER) is a knowledge-intensive information extraction task that is used for recognizing textual mentions of entities that belong to a predefined set of categories, such as locations, organizations and time expressions.

Machine Translation named-entity-recognition +5

Nordic and Baltic Wordnets Aligned and Compared through ``WordTies''

no code implementations • WS 2013 • S, Bolette ford Pedersen, Lars Borin, Markus Forsberg, Neeme Kahusk, Krister Lind{\'e}n, Jyrki Niemi, Niklas Nisbeth, Lars Nygaard, Heili Orav, Eirikur R{\"o}gnvaldsson, Mitchell Seaton, Kadri Vider, Kaarlo Voionmaa

Representing the Translation Relation in a Bilingual Wordnet

no code implementations • LREC 2012 • Jyrki Niemi, Krister Lind{\'e}n

FiWN was created by translating all the word senses of the Princeton WordNet (PWN) into Finnish and by joining the translations with the semantic and lexical relations of PWN extracted into a relational (database) format.

Relation Translation