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Now showing items 11-20 of 24
(Chapter / Bokkapittel / PublishedVersion; Peer reviewed, 2019)
We measure the intensity of diachronic semantic shifts in adjectives in English, Norwegian and Russian across 5 decades. This is done in order to test the hypothesis that evaluative adjectives are more prone to temporal ...
(Chapter / Bokkapittel / PublishedVersion; Peer reviewed, 2019)
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 and applied to historical armed conflicts ...
(Chapter / Bokkapittel / PublishedVersion; Peer reviewed, 2018)
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 from major Norwegian news sources and ...
(Chapter / Bokkapittel / PublishedVersion; Peer reviewed, 2017)
This paper investigates interactions in parser performance for the two official standards for written Norwegian: Bokmål and Nynorsk. We demonstrate that while applying models across standards yields poor performance, ...
(Chapter / Bokkapittel / PublishedVersion; Peer reviewed, 2017)
This paper describes the process of automatically adding synsets and hypernymy relations to an existing wordnet based on word embeddings computed for POStagged lemmas in a large news corpus, achieving exact match attachment ...
(Chapter / Bokkapittel / PublishedVersion; Peer reviewed, 2017)
This paper reports on a suite of experiments that evaluates how the linguistic granularity of part-of-speech tagsets impacts the performance of tagging and syntactic dependency parsing. Our results show that parsing accuracy ...
(Chapter / Bokkapittel / PublishedVersion; Peer reviewed, 2019)
This paper explores the use of multi-task learning (MTL) for incorporating external knowledge in neural models. Specifically, we show how MTL can enable a BiLSTM sentiment classifier to incorporate information from sentiment ...
(Chapter / Bokkapittel / PublishedVersion; Peer reviewed, 2019)
This paper documents the creation of a large-scale dataset of evaluative sentences – i.e. both subjective and objective sentences that are found to be sentiment-bearing – based on mixed-domain professional reviews from ...
(Chapter / Bokkapittel / PublishedVersion; Peer reviewed, 2023)
Negation constitutes a challenging phenomenon for many natural language processing tasks, such as sentiment analysis (SA). In this paper we investigate the relationship between negation and sentiment in the context of ...
(Chapter / Bokkapittel / PublishedVersion; Peer reviewed, 2023)
This paper provides a systematic analysis and comparison of the performance of state-of-the-art models on the task of fine-grained Arabic dialect identification using the MADAR parallel corpus. We test approaches based on ...