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TurkuNLP Group - IT Department - University of Turku's Projects

bhe icon bhe

End-to-end System for Bacteria Habitat Extraction: Named-entity recognition (NER), named-entity normalization, relation extraction. email: [email protected]

bibert icon bibert

Finnish English bilingual BERT models

biocreativevi_chemprot_re icon biocreativevi_chemprot_re

Deep learning-based systems for biomedical relation extraction: recognizing the statements of relations between chemical compounds/drugs and genes/proteins from biomedical literature. The code is developed for our participation in the BioCreative VI Task 5 (CHEMPROT) challenge. Contact: [email protected]

cafa3 icon cafa3

University of Turku CAFA3 project

conll17-system icon conll17-system

Instructions for TurkuNLP system in CoNLL 2017 Shared Task on Multilingual Parsing from Raw Text to Universal Dependencies.

corpus-linguistics icon corpus-linguistics

Code and data for the examples and use cases described in the article "Määrällinen korpuslingvistiikka" to be published in the book "Kielentutkimuksen metodologian käsikirja" in Finnish.

deep_learning_in_langtech_course icon deep_learning_in_langtech_course

Materials for the University of Turku course TKO_8965 Deep Learning in Human Language Technology (previously named TKO_2101 Natural Language Processing)

dep2dep icon dep2dep

Treebank transformation tool. Put here publicly in the hope of being useful. The code origins in 2008 and therefore some apologies and disclaimers apply. Has been used in numerous treebank transformations efforts.

digi_menetelmat icon digi_menetelmat

Johdatus digitaalisiin ihmistieteisiin -kurssin työpaja "Digitaaliset ihmistieteet kielentutkimuksessa: tekstinlouhinta"

digihum16 icon digihum16

Random course notes for the DigiHum16 course

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