Search Results for author: Egil Rønningstad

Found 5 papers, 5 papers with code

NARC – Norwegian Anaphora Resolution Corpus

1 code implementation COLING (CRAC) 2022 Petter Mæhlum, Dag Haug, Tollef Jørgensen, Andre Kåsen, Anders Nøklestad, Egil Rønningstad, Per Erik Solberg, Erik Velldal, Lilja Øvrelid

We present the Norwegian Anaphora Resolution Corpus (NARC), the first publicly available corpus annotated with anaphoric relations between noun phrases for Norwegian.

Relation

NorBench -- A Benchmark for Norwegian Language Models

1 code implementation6 May 2023 David Samuel, Andrey Kutuzov, Samia Touileb, Erik Velldal, Lilja Øvrelid, Egil Rønningstad, Elina Sigdel, Anna Palatkina

We present NorBench: a streamlined suite of NLP tasks and probes for evaluating Norwegian language models (LMs) on standardized data splits and evaluation metrics.

Entity-Level Sentiment Analysis (ELSA): An exploratory task survey

1 code implementation COLING 2022 Egil Rønningstad, Erik Velldal, Lilja Øvrelid

We show that sentiment in our dataset is expressed not only with an entity mention as target, but also towards targets with a sentiment-relevant relation to a volitional entity.

coreference-resolution Sentence +1

UIO at SemEval-2023 Task 12: Multilingual fine-tuning for sentiment classification in low-resource languages

1 code implementation27 Apr 2023 Egil Rønningstad

Our contribution to the 2023 AfriSenti-SemEval shared task 12: Sentiment Analysis for African Languages, provides insight into how a multilingual large language model can be a resource for sentiment analysis in languages not seen during pretraining.

Language Modelling Large Language Model +2

BRENT: Bidirectional Retrieval Enhanced Norwegian Transformer

1 code implementation19 Apr 2023 Lucas Georges Gabriel Charpentier, Sondre Wold, David Samuel, Egil Rønningstad

After training, we also separate the language model, which we call the reader, from the retriever components, and show that this can be fine-tuned on a range of downstream tasks.

Dependency Parsing Extractive Question-Answering +7

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