3 citations · 5 across the 8 of their papers we have counts for
8 papers
OpenLID-v3: Improving the Precision of Closely Related Language Identification -- An Experience Report
Mariia Fedorova, Nikolay Arefyev, Maja Buljan +4
Language identification (LID) is an essential step in building high-quality multilingual datasets from web data. Existing LID tools (such as OpenLID or GlotLID) often struggle to i…
LTG at SemEval-2025 Task 10: Optimizing Context for Classification of Narrative Roles
Egil Rønningstad, Gaurav Negi
Our contribution to the SemEval 2025 shared task 10, subtask 1 on entity framing, tackles the challenge of providing the necessary segments from longer documents as context for cla…
Mixed Feelings: Cross-Domain Sentiment Classification of Patient Feedback
Egil Rønningstad, Lilja Charlotte Storset, Petter Mæhlum +2
Sentiment analysis of patient feedback from the public health domain can aid decision makers in evaluating the provided services. The current paper focuses on free-text comments in…
Entity-Level Sentiment: More than the Sum of Its Parts
Egil Rønningstad, Roman Klinger, Lilja Øvrelid +1
In sentiment analysis of longer texts, there may be a variety of topics discussed, of entities mentioned, and of sentiments expressed regarding each entity. We find a lack of studi…
NorBench -- A Benchmark for Norwegian Language Models
David Samuel, Andrey Kutuzov, Samia Touileb +5
We present NorBench: a streamlined suite of NLP tasks and probes for evaluating Norwegian language models (LMs) on standardized data splits and evaluation metrics. We also introduc…
Entity-Level Sentiment Analysis (ELSA): An exploratory task survey
Egil Rønningstad, Erik Velldal, Lilja Øvrelid
This paper explores the task of identifying the overall sentiment expressed towards volitional entities (persons and organizations) in a document -- what we refer to as Entity-Leve…
UIO at SemEval-2023 Task 12: Multilingual fine-tuning for sentiment classification in low-resource languages
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 reso…
BRENT: Bidirectional Retrieval Enhanced Norwegian Transformer
Lucas Georges Gabriel Charpentier, Sondre Wold, David Samuel +1
Retrieval-based language models are increasingly employed in question-answering tasks. These models search in a corpus of documents for relevant information instead of having all f…