1 citations · 1 across the 4 of their papers we have counts for
5 papers
Type Diversity Enables Transformers to Generalise Compositionally
Anssi Moisio, Mathias Creutz, Mikko Kurimo
Compositional generalisation has been divided into lexical and structural generalisation. Previous work has found that structural generalisation is harder than lexical for Transfor…
LLMs' morphological analyses of complex FST-generated Finnish words
Anssi Moisio, Mathias Creutz, Mikko Kurimo
Rule-based language processing systems have been overshadowed by neural systems in terms of utility, but it remains unclear whether neural NLP systems, in practice, learn the gramm…
Out-of-distribution generalisation in spoken language understanding
Dejan Porjazovski, Anssi Moisio, Mikko Kurimo
Test data is said to be out-of-distribution (OOD) when it unexpectedly differs from the training data, a common challenge in real-world use cases of machine learning. Although OOD…
On Using Distribution-Based Compositionality Assessment to Evaluate Compositional Generalisation in Machine Translation
Anssi Moisio, Mathias Creutz, Mikko Kurimo
Compositional generalisation (CG), in NLP and in machine learning more generally, has been assessed mostly using artificial datasets. It is important to develop benchmarks to asses…
Lahjoita puhetta -- a large-scale corpus of spoken Finnish with some benchmarks
Anssi Moisio, Dejan Porjazovski, Aku Rouhe +5
The Donate Speech campaign has so far succeeded in gathering approximately 3600 hours of ordinary, colloquial Finnish speech into the Lahjoita puhetta (Donate Speech) corpus. The c…