141 citations · 226 across the 29 of their papers we have counts for
6 papers · 2 filters
A Fine-Grained Sentiment Dataset for Norwegian
Lilja Øvrelid, Petter Mæhlum, Jeremy Barnes +1
We introduce NoReC_fine, a dataset for fine-grained sentiment analysis in Norwegian, annotated with respect to polar expressions, targets and holders of opinion. The underlying tex…
NorNE: Annotating Named Entities for Norwegian
Fredrik Jørgensen, Tobias Aasmoe, Anne-Stine Ruud Husevåg +2
This paper presents NorNE, a manually annotated corpus of named entities which extends the annotation of the existing Norwegian Dependency Treebank. Comprising both of the official…
One-to-X analogical reasoning on word embeddings: a case for diachronic armed conflict prediction from news texts
Andrey Kutuzov, Erik Velldal, Lilja Øvrelid
We extend the well-known word analogy task to a one-to-X formulation, including one-to-none cases, when no correct answer exists. The task is cast as a relation discovery problem a…
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…
Improving Sentiment Analysis with Multi-task Learning of Negation
Jeremy Barnes, Erik Velldal, Lilja Øvrelid
Sentiment analysis is directly affected by compositional phenomena in language that act on the prior polarity of the words and phrases found in the text. Negation is the most preva…