4 papers
Sentiment analysis is not solved! Assessing and probing sentiment classification
Jeremy Barnes, Lilja Øvrelid, Erik Velldal
Neural methods for SA have led to quantitative improvements over previous approaches, but these advances are not always accompanied with a thorough analysis of the qualitative diff…
Probing Multilingual Sentence Representations With X-Probe
Vinit Ravishankar, Lilja Øvrelid, Erik Velldal
This paper extends the task of probing sentence representations for linguistic insight in a multilingual domain. In doing so, we make two contributions: first, we provide datasets…
NoReC: The Norwegian Review Corpus
Erik Velldal, Lilja Øvrelid, Eivind Alexander Bergem +3
This paper presents the Norwegian Review Corpus (NoReC), created for training and evaluating models for document-level sentiment analysis. The full-text reviews have been collected…
Temporal dynamics of semantic relations in word embeddings: an application to predicting armed conflict participants
Andrey Kutuzov, Erik Velldal, Lilja Øvrelid
This paper deals with using word embedding models to trace the temporal dynamics of semantic relations between pairs of words. The set-up is similar to the well-known analogies tas…