Teemu Ruokolainen

发表

Using Dependency Grammar Features in Whole Sentence Maximum Entropy Language Model for Speech Recognition

Tanel Alumäe, Teemu Ruokolainen, Marcus Dobrinkat, 2010, Baltic HLT.

A Comparative Study of Minimally Supervised Morphological Segmentation

Mikko Kurimo, Oskar Kohonen, Sami Virpioja, 2016, CL.

Topic adaptation for speech recognition in multimodal environment

Teemu Ruokolainen, 2009 .

Part-of-Speech Tagging using Conditional Random Fields: Exploiting Sub-Label Dependencies for Improved Accuracy

Mikko Kurimo, Krister Lindén, Miikka Silfverberg, 2014, ACL.

Old Content and Modern Tools - Searching Named Entities in a Finnish OCRed Historical Newspaper Collection 1771-1910 pdf

Kimmo Kettunen, Eetu Mäkelä, Teemu Ruokolainen, 2017, Digit. Humanit. Q..

Supervised Morphological Segmentation in a Low-Resource Learning Setting using Conditional Random Fields

Mikko Kurimo, Oskar Kohonen, Sami Virpioja, 2013, CoNLL.

Name the Name - Named Entity Recognition in OCRed 19th and Early 20th Century Finnish Newspaper and Journal Collection Data

Kimmo Kettunen, Teemu Ruokolainen, 2020, DHN.

An augmented reality interface to contextual information

Jorma Laaksonen, Mikko Kurimo, Markus Koskela, 2011, Virtual Reality.

A Finnish news corpus for named entity recognition

Miikka Silfverberg, Teemu Ruokolainen, Pekka Kauppinen, 2019, Language Resources and Evaluation.

Names, Right or Wrong: Named Entities in an OCRed Historical Finnish Newspaper Collection

Kimmo Kettunen, Teemu Ruokolainen, 2017, DATeCH.

Gaze- and Speech-Enhanced Content-Based Image Retrieval in Image Tagging

Jorma Laaksonen, He Zhang, Christina Hochleitner, 2011, ICANN.

FinnPos: an open-source morphological tagging and lemmatization toolkit for Finnish

Mikko Kurimo, Krister Lindén, Miikka Silfverberg, 2015, Language Resources and Evaluation.

Creating Custom Taggers by Integrating Web Page Annotation and Machine Learning

Oskar Kohonen, Teemu Ruokolainen, Srikrishna Raamadhurai, 2014, COLING.

Painless Semi-Supervised Morphological Segmentation using Conditional Random Fields

Mikko Kurimo, Oskar Kohonen, Sami Virpioja, 2014, EACL.

Modern Tools for Old Content - in Search of Named Entities in a Finnish OCRed Historical Newspaper Collection 1771-1910

Kimmo Kettunen, Eetu Mäkelä, Jyrki Niemi, 2016, LWDA.

Accelerated Estimation of Conditional Random Fields using a Pseudo-Likelihood-inspired Perceptron Variant

Mikko Kurimo, Krister Lindén, Miikka Silfverberg, 2014, EACL.

Detecting Articles in a Digitized Finnish Historical Newspaper Collection 1771-1929: Early Results Using the PIVAJ Software

Kimmo Kettunen, Thierry Paquet, Pierrick Tranouez, 2019, DATeCH.

Research and Development Efforts on the Digitized Historical Newspaper and Journal Collection of The National Library of Finland

Kimmo Kettunen, Teemu Ruokolainen, Mika Koistinen, 2018, DHN.

Applying Piecewise Approximation in Perceptron Training of Conditional Random Fields

Teemu Ruokolainen, 2012, IDA.

Modeling OOV Words With Letter N-Grams in Statistical Taggers: Preliminary Work in Biomedical Entity Recognition

Miikka Silfverberg, Teemu Ruokolainen, Miikka Silfverberg, 2013, NODALIDA.

Information Protection in Dark Web Drug Markets Research

Juho Hamari, Teemu Ruokolainen, Lobna Hassan, 2021, HICSS.

À la recherche du nom perdu – Searching for Named Entities with Stanford NER in a Finnish Historical Newspaper and Journal Collection

Kimmo Kettunen, Teemu Ruokolainen, 2018 .