Samuel Rönnqvist
Samuel Rönnqvist
TurkuNLP, University of Turku
Verified email at abo.fi
TitleCited byYear
Exploring biomolecular literature with EVEX: connecting genes through events, homology, and indirect associations
S Van Landeghem, K Hakala, S Rönnqvist, T Salakoski, Y Van de Peer, ...
Advances in bioinformatics 2012, 2012
362012
Bank distress in the news: Describing events through deep learning
S Rönnqvist, P Sarlin
Neurocomputing 264, 57-70, 2017
242017
Bank networks from text: interrelations, centrality and determinants
S Rönnqvist, P Sarlin
Quantitative Finance 15 (10), 1619-1635, 2015
142015
Do we really need all those rich linguistic features? a neural network-based approach to implicit sense labeling
N Schenk, C Chiarcos, K Donandt, S Rönnqvist, E Stepanov, G Riccardi
Proceedings of the CoNLL-16 shared task, 41-49, 2016
122016
Detect & describe: Deep learning of bank stress in the news
S Rönnqvist, P Sarlin
2015 IEEE Symposium Series on Computational Intelligence, 890-897, 2015
102015
Cluster coloring of the Self-Organizing Map: An information visualization perspective
P Sarlin, S Rönnqvist
2013 17th International Conference on Information Visualisation, 532-538, 2013
102013
From text to bank interrelation maps
S Rönnqvist, P Sarlin
2014 IEEE Conference on Computational Intelligence for Financial Engineering …, 2014
82014
A recurrent neural model with attention for the recognition of Chinese implicit discourse relations
S Rönnqvist, N Schenk, C Chiarcos
arXiv preprint arXiv:1704.08092, 2017
52017
Interactive visual exploration of topic models using graphs
S Rönnqvist, X Wang, P Sarlin
arXiv preprint arXiv:1409.5623, 2014
52014
Deep learning bank distress from news and numerical financial data
P Cerchiello, G Nicola, S Ronnqvist, P Sarlin
arXiv preprint arXiv:1706.09627, 2017
42017
Exploratory topic modeling with distributional semantics
S Rönnqvist
International Symposium on Intelligent Data Analysis, 241-252, 2015
42015
Identifying bank stress by deep learning of news
S Rönnqvist, P Sarlin
Workshop New Challenges in Neural Computation 2015, 112, 2015
32015
From text to bank interrelation maps
S Rönnqvist, P Sarlin
arXiv preprint arXiv:1306.3856, 2013
32013
Alluvial SOTM: Visualizing transitions and changes in cluster structure of the Self-Organizing Time Map
S Rönnqvist, P Sarlin
Proceedings of the Eurographics Conference on Visualization (EuroVis’ 14 …, 2014
22014
Green vs. Non-Green Customer Behavior: A Self-Organizing Time Map over Greenness
AH Holmbom, S Rönnqvist, P Sarlin, T Eklund, B Back
2013 IEEE 13th International Conference on Data Mining Workshops, 529-535, 2013
22013
Is Multilingual BERT Fluent in Language Generation?
S Rönnqvist, J Kanerva, T Salakoski, F Ginter
arXiv preprint arXiv:1910.03806, 2019
2019
Template-free Data-to-Text Generation of Finnish Sports News
J Kanerva, S Rönnqvist, R Kekki, T Salakoski, F Ginter
arXiv preprint arXiv:1910.01863, 2019
2019
Deep Learning for Assessing Banks’ Distress from News and Numerical Financial Data
P Cerchiello, G Nicola, S Rönnqvist, P Sarlin
Michael J. Brennan Irish Finance Working Paper Series Research Paper, 2018
2018
Sentiment in Citizen Feedback: Exploration by Supervised Learning
R Lybeck, S Rönnqvist, S Ruoppila
EGOV-CeDEM-ePart 2018, 133, 2018
2018
Knowledge-lean Text Mining
S Rönnqvist
Turku Centre for Computer Science, 2017
2017
The system can't perform the operation now. Try again later.
Articles 1–20