Zobrazeno 1 - 10
of 17
pro vyhledávání: '"Samuel Rönnqvist"'
Publikováno v:
Frontiers in Artificial Intelligence, Vol 5 (2022)
In this paper, we focus our attention on leveraging the information contained in financial news to enhance the performance of a bank distress classifier. The news information should be analyzed and inserted into the predictive model in the most effic
Externí odkaz:
https://doaj.org/article/54ad7eecc1b94eae925b1924c73b7a0f
Autor:
Veronika Laippala, Samuel Rönnqvist, Miika Oinonen, Aki-Juhani Kyröläinen, Anna Salmela, Douglas Biber, Jesse Egbert, Sampo Pyysalo
Publikováno v:
Language Resources and Evaluation.
This article examines the automatic identification of Web registers, that is, text varieties such as news articles and reviews. Most studies have focused on corpora restricted to include only preselected classes with well-defined characteristics. The
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a936fd1eb0b5ddfe53b0be6a7a440934
https://doi.org/10.1007/s10579-022-09624-1
https://doi.org/10.1007/s10579-022-09624-1
Publikováno v:
Findings of the Association for Computational Linguistics: ACL 2022.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3047a954fb2255379af14172fb2a02cd
https://doi.org/10.18653/v1/2022.findings-acl.85
https://doi.org/10.18653/v1/2022.findings-acl.85
Publikováno v:
HICSS
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2b4617e64674ac81360ad52731b4d30b
https://doi.org/10.24251/hicss.2021.192
https://doi.org/10.24251/hicss.2021.192
Autor:
Anna Salmela, Douglas Biber, Sampo Pyysalo, Veronika Laippala, Jesse Egbert, Liina Repo, Samuel Rönnqvist, Miika Oinonen, Valtteri Skantsi, Saara Hellström
Publikováno v:
EACL (Student Research Workshop)
We explore cross-lingual transfer of register classification for web documents. Registers, that is, text varieties such as blogs or news are one of the primary predictors of linguistic variation and thus affect the automatic processing of language. W
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d4dfd83e5268a1ad0862cae354fe830a
https://doi.org/10.18653/v1/2021.eacl-srw.24
https://doi.org/10.18653/v1/2021.eacl-srw.24
Publikováno v:
SSRN Electronic Journal.
We explore several ways of using news articles and financial data to train neural network machine learning models to predict shock events in high-frequency market data, and aggregated shock episodes. We investigate the use of price movements in this
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f18ef474a53b0b4d73b6bafa325a1a65
https://doi.org/10.2139/ssrn.3619970
https://doi.org/10.2139/ssrn.3619970
Autor:
Peter Sarlin, Samuel Rönnqvist
Publikováno v:
Neurocomputing. 264:57-70
While many models are purposed for detecting the occurrence of significant events in financial systems, the task of providing qualitative detail on the developments is not usually as well automated. We present a deep learning approach for detecting r
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2fe0ce45c2f92fbfd2ca26d4cf27faf5
https://doi.org/10.1016/j.neucom.2016.12.110
https://doi.org/10.1016/j.neucom.2016.12.110
Publikováno v:
SSRN Electronic Journal.
In this paper we focus our attention on the exploitation of the information contained in financial news to enhance the performance of a classifier of bank distress. Such information should be analyzed and inserted into the predictive model in the mos
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::cf4789e21ccf5201fa1acd9629cd95f6
https://doi.org/10.2139/ssrn.3292485
https://doi.org/10.2139/ssrn.3292485
Publikováno v:
ACL (2)
We introduce an attention-based Bi-LSTM for Chinese implicit discourse relations and demonstrate that modeling argument pairs as a joint sequence can outperform word order-agnostic approaches. Our model benefits from a partial sampling scheme and is
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a39b08c328b14c753de5db7b7745fbf2
Autor:
Evgeny A. Stepanov, Samuel Rönnqvist, Niko Schenk, Giuseppe Riccardi, Christian Chiarcos, Kathrin Donandt
Publikováno v:
CoNLL Shared Task
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::247f70e74f0a136ededa8d78d30e9492
https://doi.org/10.18653/v1/k16-2005
https://doi.org/10.18653/v1/k16-2005