activity
20152021
most citedIs Multilingual BERT Fluent in Language Generation?

39 citations · 57 across the 4 of their papers we have counts for

collaborators

5 papers

cs.CL2021

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…

cs.CL20198 cited

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…

cs.CL201939 cited

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…

cs.CL201910 cited

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,…

cs.IR2015

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…