39 citations · 81 across the 7 of their papers we have counts for
10 papers
Beyond the English Web: Zero-Shot Cross-Lingual and Lightweight Monolingual Classification of Registers
Liina Repo, Valtteri Skantsi, Samuel Rönnqvist +7
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 lingui…
Morphological Tagging and Lemmatization of Albanian: A Manually Annotated Corpus and Neural Models
Nelda Kote, Marenglen Biba, Jenna Kanerva +2
In this paper, we present the first publicly available part-of-speech and morphologically tagged corpus for the Albanian language, as well as a neural morphological tagger and lemm…
Is Multilingual BERT Fluent in Language Generation?
Samuel Rönnqvist, Jenna Kanerva, Tapio Salakoski +1
The multilingual BERT model is trained on 104 languages and meant to serve as a universal language model and tool for encoding sentences. We explore how well the model performs on…
Template-free Data-to-Text Generation of Finnish Sports News
Jenna Kanerva, Samuel Rönnqvist, Riina Kekki +2
News articles such as sports game reports are often thought to closely follow the underlying game statistics, but in practice they contain a notable amount of background knowledge,…
Deep learning bank distress from news and numerical financial data
Paola Cerchiello, Giancarlo Nicola, Samuel Ronnqvist +1
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 informatio…
A Recurrent Neural Model with Attention for the Recognition of Chinese Implicit Discourse Relations
Samuel Rönnqvist, Niko Schenk, Christian Chiarcos
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…
Bank distress in the news: Describing events through deep learning
Samuel Rönnqvist, Peter Sarlin
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…
Exploratory topic modeling with distributional semantics
Samuel Rönnqvist
As we continue to collect and store textual data in a multitude of domains, we are regularly confronted with material whose largely unknown thematic structure we want to uncover. W…
Interactive Visual Exploration of Topic Models using Graphs
Samuel Rönnqvist, Xiaolu Wang, Peter Sarlin
Probabilistic topic modeling is a popular and powerful family of tools for uncovering thematic structure in large sets of unstructured text documents. While much attention has been…
Bank Networks from Text: Interrelations, Centrality and Determinants
Samuel Rönnqvist, Peter Sarlin
In the wake of the still ongoing global financial crisis, bank interdependencies have come into focus in trying to assess linkages among banks and systemic risk. To date, such anal…