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Teemu Ruokolainen
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2020 – today
- 2023
- [c16]Krister Lindén, Teemu Ruokolainen, Lasse Hämäläinen, J. Tuomas Harviainen:
Ethically Archiving a Hard-to-Access Massive Research Data Set in the Language Bank of Finland: The Finnish Dark Web Marketplace Corpus (FINDarC). Tethics 2023: 114-131 - 2021
- [c15]J. Tuomas Harviainen, Ari Haasio, Teemu Ruokolainen, Lobna Hassan, Piotr Siuda, Juho Hamari:
Information Protection in Dark Web Drug Markets Research. HICSS 2021: 1-8 - 2020
- [j5]Teemu Ruokolainen
, Pekka Kauppinen
A Finnish news corpus for named entity recognition. Lang. Resour. Evaluation 54(1): 247-272 (2020) - [c14]Teemu Ruokolainen, Kimmo Kettunen:
Name the Name - Named Entity Recognition in OCRed 19th and Early 20th Century Finnish Newspaper and Journal Collection Data. DHN 2020: 137-156
2010 – 2019
- 2019
- [c13]Kimmo Kettunen
Detecting Articles in a Digitized Finnish Historical Newspaper Collection 1771-1929: Early Results Using the PIVAJ Software. DATeCH 2019: 59-64 - [i2]Teemu Ruokolainen, Pekka Kauppinen, Miikka Silfverberg, Krister Lindén:
A Finnish News Corpus for Named Entity Recognition. CoRR abs/1908.04212 (2019) - 2018
- [c12]Kimmo Kettunen, Mika Koistinen, Teemu Ruokolainen:
Research and Development Efforts on the Digitized Historical Newspaper and Journal Collection of The National Library of Finland. DHN 2018: 474-479 - 2017
- [j4]Kimmo Kettunen, Eetu Mäkelä, Teemu Ruokolainen, Juha Kuokkala, Laura Löfberg:
Old Content and Modern Tools - Searching Named Entities in a Finnish OCRed Historical Newspaper Collection 1771-1910. Digit. Humanit. Q. 11(3) (2017) - [c11]Kimmo Kettunen
Names, Right or Wrong: Named Entities in an OCRed Historical Finnish Newspaper Collection. DATeCH 2017: 181-186 - 2016
- [j3]Teemu Ruokolainen, Oskar Kohonen, Kairit Sirts
A Comparative Study of Minimally Supervised Morphological Segmentation. Comput. Linguistics 42(1): 91-120 (2016) - [j2]Miikka Silfverberg, Teemu Ruokolainen, Krister Lindén
FinnPos: an open-source morphological tagging and lemmatization toolkit for Finnish. Lang. Resour. Evaluation 50(4): 863-878 (2016) - [c10]Kimmo Kettunen, Eetu Mäkelä, Juha Kuokkala, Teemu Ruokolainen, Jyrki Niemi:
Modern Tools for Old Content - in Search of Named Entities in a Finnish OCRed Historical Newspaper Collection 1771-1910. LWDA 2016: 124-135 - [i1]Kimmo Kettunen, Eetu Mäkelä, Teemu Ruokolainen, Juha Kuokkala, Laura Löfberg:
Old Content and Modern Tools - Searching Named Entities in a Finnish OCRed Historical Newspaper Collection 1771-1910. CoRR abs/1611.02839 (2016) - 2014
- [c9]Miikka Silfverberg, Teemu Ruokolainen, Krister Lindén, Mikko Kurimo:
Part-of-Speech Tagging using Conditional Random Fields: Exploiting Sub-Label Dependencies for Improved Accuracy. ACL (2) 2014: 259-264 - [c8]Srikrishna Raamadhurai, Oskar Kohonen, Teemu Ruokolainen:
Creating Custom Taggers by Integrating Web Page Annotation and Machine Learning. COLING (Demos) 2014: 15-19 - [c7]Teemu Ruokolainen, Miikka Silfverberg, Mikko Kurimo, Krister Lindén:
Accelerated Estimation of Conditional Random Fields using a Pseudo-Likelihood-inspired Perceptron Variant. EACL 2014: 74-78 - [c6]Teemu Ruokolainen, Oskar Kohonen, Sami Virpioja, Mikko Kurimo:
Painless Semi-Supervised Morphological Segmentation using Conditional Random Fields. EACL 2014: 84-89 - 2013
- [c5]Teemu Ruokolainen, Oskar Kohonen, Sami Virpioja, Mikko Kurimo:
Supervised Morphological Segmentation in a Low-Resource Learning Setting using Conditional Random Fields. CoNLL 2013: 29-37 - [c4]Teemu Ruokolainen, Miikka Silfverberg:
Modeling OOV Words With Letter N-Grams in Statistical Taggers: Preliminary Work in Biomedical Entity Recognition. NODALIDA 2013: 181-193 - 2012
- [c3]Teemu Ruokolainen:
Applying Piecewise Approximation in Perceptron Training of Conditional Random Fields. IDA 2012: 324-333 - 2011
- [j1]Antti Ajanki, Mark Billinghurst
An augmented reality interface to contextual information. Virtual Real. 15(2-3): 161-173 (2011) - [c2]He Zhang, Teemu Ruokolainen, Jorma Laaksonen
Gaze- and Speech-Enhanced Content-Based Image Retrieval in Image Tagging. ICANN (2) 2011: 373-380 - 2010
- [c1]Teemu Ruokolainen, Tanel Alumäe
Using Dependency Grammar Features in Whole Sentence Maximum Entropy Language Model for Speech Recognition. Baltic HLT 2010: 73-79
Coauthor Index
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