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Maciej Janicki
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2020 – today
- 2023
- [j2]Maciej Janicki
:
Large-scale weighted sequence alignment for the study of intertextuality in Finnic oral folk poetry. J. Data Min. Digit. Humanit. 2023 (2023) - [j1]Maciej Janicki
, Kati Kallio
, Mari Sarv
:
Exploring Finnic written oral folk poetry through string similarity. Digit. Scholarsh. Humanit. 38(1): 180-194 (2023) - [c10]Narges Azizifard, Maciej Janicki, Thea Lindquist, Eetu Mäkelä, Erik Radio:
Let Everything be of Use?: Data Issues in Exploring the Publications and Networks of the Members of the Fruitbearing Society in the VD17. DH 2023 - [c9]Maciej Janicki, Antti Kanner, Eetu Mäkelä:
Detection and attribution of quotes in Finnish news media: BERT vs. rule-based approach. NoDaLiDa 2023: 52-59 - 2022
- [c8]Kati Kallio, Maciej Janicki, Eetu Mäkelä, Mari Sarv:
Recognising Intertextuality in the Digital Corpus of Finnic Oral Poetry: Experiment with the Sampo Cycle. DHNB 2022: 279-287 - 2020
- [c7]Eetu Mäkelä, Anu Koivunen, Antti Kanner, Maciej Janicki, Auli Harju, Julius Hokkanen, Olli Seuri:
An Approach for Agile Interdisciplinary Digital Humanities Research - a Case Study in Journalism. TwinTalks@DH/DHN 2020: 4-14 - [c6]Maciej Janicki, Eetu Mäkelä, Anu Koivunen, Antti Kanner, Auli Harju, Julius Hokkanen, Olli Seuri:
A Workflow for Integrating Close Reading and Automated Text Annotation. DHN Post-Proceedings 2020: 230-235
2010 – 2019
- 2019
- [b1]Maciej Janicki:
Statistical and Computational Models for Whole Word Morphology. Leipzig University, Germany, 2019 - [c5]Maciej Janicki:
Finite State Transducer Calculus for Whole Word Morphology. FSMNLP 2019: 37-45 - [c4]Maciej Janicki:
Semi-Supervised Induction of POS-Tag Lexicons with Tree Models. RANLP 2019: 507-515 - 2015
- [c3]Maciej Janicki:
A Multi-purpose Bayesian Model for Word-Based Morphology. SFCM 2015: 104-123 - 2013
- [c2]Maciej Janicki:
Unsupervised Learning of A-Morphous Inflection with Graph Clustering. RANLP 2013: 93-99 - [p1]Michal Marcinczuk
, Jan Kocon
, Maciej Janicki:
Liner2 - A Customizable Framework for Proper Names Recognition for Polish. Intelligent Tools for Building a Scientific Information Platform 2013: 231-253 - 2012
- [c1]Michal Marcinczuk
, Maciej Janicki:
Optimizing CRF-Based Model for Proper Name Recognition in Polish Texts. CICLing (1) 2012: 258-269
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