Teemu Ruokolainen
Teemu Ruokolainen
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Cited by
Cited by
An augmented reality interface to contextual information
A Ajanki, M Billinghurst, H Gamper, T Järvenpää, M Kandemir, S Kaski, ...
Virtual reality 15 (2), 161-173, 2011
Supervised morphological segmentation in a low-resource learning setting using conditional random fields
T Ruokolainen, O Kohonen, S Virpioja, M Kurimo
Proceedings of the Seventeenth Conference on Computational Natural Language …, 2013
A Finnish news corpus for named entity recognition
T Ruokolainen, P Kauppinen, M Silfverberg, K Lindén
Language Resources and Evaluation 54 (1), 247-272, 2020
A comparative study of minimally supervised morphological segmentation
T Ruokolainen, O Kohonen, K Sirts, SA Grönroos, M Kurimo, S Virpioja
Computational Linguistics 42 (1), 91-120, 2016
Painless semi-supervised morphological segmentation using conditional random fields
T Ruokolainen, O Kohonen, S Virpioja, M Kurimo
Proceedings of the 14th Conference of the European Chapter of the …, 2014
Old content and modern tools-searching named entities in a Finnish OCRed historical newspaper collection 1771-1910
K Kettunen, E Mäkelä, T Ruokolainen, J Kuokkala, L Löfberg
arXiv preprint arXiv:1611.02839, 2016
Part-of-speech tagging using conditional random fields: Exploiting sub-label dependencies for improved accuracy
M Silfverberg, T Ruokolainen, K Linden, M Kurimo
Unknown host publication, 2014
FinnPos: an open-source morphological tagging and lemmatization toolkit for Finnish
M Silfverberg, T Ruokolainen, K Lindén, M Kurimo
Language Resources and Evaluation 50 (4), 863-878, 2016
Names, right or wrong: Named entities in an OCRed historical Finnish newspaper collection
K Kettunen, T Ruokolainen
Proceedings of the 2nd International Conference on Digital Access to Textual …, 2017
Contextual information access with augmented reality
A Ajanki, M Billinghurst, T Järvenpää, M Kandemir, S Kaski, M Koskela, ...
2010 IEEE International Workshop on Machine Learning for Signal Processing …, 2010
À la recherche du nom perdu–searching for named entities with Stanford NER in a Finnish historical newspaper and journal collection
T Ruokolainen, K Kettunen
13th IAPR International Workshop on Document Analysis Systems, 2018
Detecting articles in a digitized finnish historical newspaper collection 1771-1929: Early results using the pivaj software
K Kettunen, T Ruokolainen, E Liukkonen, P Tranouez, D Antelme, ...
Proceedings of the 3rd International Conference on Digital Access to Textual …, 2019
Gaze-and speech-enhanced content-based image retrieval in image tagging
H Zhang, T Ruokolainen, J Laaksonen, C Hochleitner, R Traunmüller
International Conference on Artificial Neural Networks, 373-380, 2011
Using dependency grammar features in whole sentence maximum entropy language model for speech recognition
T Ruokolainen, T Alumäe, M Dobrinkat
Human Language Technologies–The Baltic Perspective, 73-79, 2010
Name the Name-Named Entity Recognition in OCRed 19th and Early 20th Century Finnish Newspaper and Journal Collection Data.
T Ruokolainen, K Kettunen
DHN, 137-156, 2020
Modern Tools for Old Content-in Search of Named Entities in a Finnish OCRed Historical Newspaper Collection 1771-1910.
K Kettunen, E Mäkelä, J Kuokkala, T Ruokolainen, J Niemi
LWDA, 124-135, 2016
Topic adaptation for speech recognition in multimodal environment
T Ruokolainen
Teknillinen korkeakoulu, 2009
Research and development efforts on the digitized historical newspaper and journal collection of The National Library of Finland
KT Kettunen, JMO Koistinen, TP Ruokolainen
Proceedings of the Digital Humanities in the Nordic Countries 3rd Conference, 2018
Creating custom taggers by integrating web page annotation and machine learning
S Raamadhurai, O Kohonen, T Ruokolainen
Proceedings of COLING 2014, the 25th International Conference on …, 2014
Applying piecewise approximation in perceptron training of conditional random fields
T Ruokolainen
International Symposium on Intelligent Data Analysis, 324-333, 2012
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