Samuel Rönnqvist

According to our database1, Samuel Rönnqvist authored at least 23 papers between 2012 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Links

On csauthors.net:

Bibliography

2023
Register identification from the unrestricted open Web using the Corpus of Online Registers of English.
Lang. Resour. Evaluation, September, 2023

2022
Assessing Banks' Distress Using News and Regular Financial Data.
Frontiers Artif. Intell., 2022

Towards better structured and less noisy Web data: Oscar with Register annotations.
Proceedings of the Eighth Workshop on Noisy User-generated Text, 2022

Explaining Classes through Stable Word Attributions.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2022, 2022

2021
Explaining Classes through Word Attribution.
CoRR, 2021

Multilingual and Zero-Shot is Closing in on Monolingual Web Register Classification.
Proceedings of the 23rd Nordic Conference on Computational Linguistics, 2021

Predicting stock price and spread movements from news.
Proceedings of the 54th Hawaii International Conference on System Sciences, 2021

Beyond the English Web: Zero-Shot Cross-Lingual and Lightweight Monolingual Classification of Registers.
Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Student Research Workshop, 2021

2020
From Web Crawl to Clean Register-Annotated Corpora.
Proceedings of the 12th Web as Corpus Workshop, 2020

2019
Morphological Tagging and Lemmatization of Albanian: A Manually Annotated Corpus and Neural Models.
CoRR, 2019

Is Multilingual BERT Fluent in Language Generation?
CoRR, 2019

Template-free Data-to-Text Generation of Finnish Sports News.
Proceedings of the 22nd Nordic Conference on Computational Linguistics, NoDaLiDa 2019, Turku, Finland, September 30, 2019

2017
Bank distress in the news: Describing events through deep learning.
Neurocomputing, 2017

Deep learning bank distress from news and numerical financial data.
CoRR, 2017

A Recurrent Neural Model with Attention for the Recognition of Chinese Implicit Discourse Relations.
Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics, 2017

2016
Do We Really Need All Those Rich Linguistic Features? A Neural Network-Based Approach to Implicit Sense Labeling.
Proceedings of the 20th SIGNLL Conference on Computational Natural Language Learning: Shared Task, 2016

2015
Detect & Describe: Deep Learning of Bank Stress in the News.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2015

Exploratory Topic Modeling with Distributional Semantics.
Proceedings of the Advances in Intelligent Data Analysis XIV, 2015

2014
Interactive Visual Exploration of Topic Models using Graphs.
CoRR, 2014

From text to bank interrelation maps.
Proceedings of the IEEE Conference on Computational Intelligence for Financial Engineering & Economics, 2014

2013
Cluster Coloring of the Self-Organizing Map: An Information Visualization Perspective.
Proceedings of the 17th International Conference on Information Visualisation, 2013

Green vs. Non-Green Customer Behavior: A Self-Organizing Time Map over Greenness.
Proceedings of the 13th IEEE International Conference on Data Mining Workshops, 2013

2012
Exploring Biomolecular Literature with EVEX: Connecting Genes through Events, Homology, and Indirect Associations.
Adv. Bioinformatics, 2012


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