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, 161-173, 2011
A Finnish news corpus for named entity recognition
T Ruokolainen, P Kauppinen, M Silfverberg, K Lindén
Language Resources and Evaluation 54, 247-272, 2020
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 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
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
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
FinnPos: an open-source morphological tagging and lemmatization toolkit for Finnish
M Silfverberg, T Ruokolainen, K Lindén, M Kurimo
Language Resources and Evaluation 50, 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
Information protection in dark web drug markets research
JT Harviainen, A Haasio, T Ruokolainen, L Hassan, P Siuda, J Hamari
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
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, 1-2, 2018
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
Gaze-and speech-enhanced content-based image retrieval in image tagging
H Zhang, T Ruokolainen, J Laaksonen, C Hochleitner, R Traunmüller
Artificial Neural Networks and Machine Learning–ICANN 2011: 21st …, 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
Modern tools for old content-in search of named entities in a finnish ocred historical newspaper collection 1771-1910
KT Kettunen, E Mäkelä, JM Kuokkala, TP Ruokolainen, JA Niemi
LWDA 2016 Lernen, Wissen, Daten, Analysen 2016 Proceedings of the Conference …, 2016
Kukkaa, amfea, subua ja essoja: Huumausaineiden slanginimitykset Tor-verkon suomalaisella kauppapaikalla
L Hämäläinen, T Ruokolainen
Sananjalka 63 (63), 2021
Topic adaptation for speech recognition in multimodal environment
T Ruokolainen
Teknillinen korkeakoulu, 2009
Ratkaisuja digitaalisten aineistojen käytettävyyden parantamiseen
M Kosonen, T Hyyryläinen, T Hänninen, A Jääskeläinen, K Kettunen, ...
Ratkaisuja digitaalisten aineistojen käytettävyyden parantamiseen, 2019
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