activity
20172023
most citedNorBench -- A Benchmark for Norwegian Language Models

3 citations · 10 across the 11 of their papers we have counts for

collaborators

13 papers

cs.CL2023★ 1 cited

JSEEGraph: Joint Structured Event Extraction as Graph Parsing

Huiling You, Samia Touileb, Lilja Øvrelid

We propose a graph-based event extraction framework JSEEGraph that approaches the task of event extraction as general graph parsing in the tradition of Meaning Representation Parsi…

cs.CL2023★ 3 cited

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…

cs.LG2023★ 1 cited

Learning Horn Envelopes via Queries from Large Language Models

Sophie Blum, Raoul Koudijs, Ana Ozaki +1

We investigate an approach for extracting knowledge from trained neural networks based on Angluin's exact learning model with membership and equivalence queries to an oracle. In th…

cs.CL2023

Measuring Normative and Descriptive Biases in Language Models Using Census Data

Samia Touileb, Lilja Øvrelid, Erik Velldal

We investigate in this paper how distributions of occupations with respect to gender is reflected in pre-trained language models. Such distributions are not always aligned to norma…

cs.CL2022★ 1 cited

Measuring Harmful Representations in Scandinavian Language Models

Samia Touileb, Debora Nozza

Scandinavian countries are perceived as role-models when it comes to gender equality. With the advent of pre-trained language models and their widespread usage, we investigate to w…

cs.CL2022

EventGraph at CASE 2021 Task 1: A General Graph-based Approach to Protest Event Extraction

Huiling You, David Samuel, Samia Touileb +1

This paper presents our submission to the 2022 edition of the CASE 2021 shared task 1, subtask 4. The EventGraph system adapts an end-to-end, graph-based semantic parser to the tas…

cs.CL2022★ 1 cited

EventGraph: Event Extraction as Semantic Graph Parsing

Huiling You, David Samuel, Samia Touileb +1

Event extraction involves the detection and extraction of both the event triggers and corresponding event arguments. Existing systems often decompose event extraction into multiple…

cs.CL2022★ 2 cited

Annotating Norwegian Language Varieties on Twitter for Part-of-Speech

Petter Mæhlum, Andre Kåsen, Samia Touileb +1

Norwegian Twitter data poses an interesting challenge for Natural Language Processing (NLP) tasks. These texts are difficult for models trained on standardized text in one of the t…

cs.CL2022

NorDiaChange: Diachronic Semantic Change Dataset for Norwegian

Andrey Kutuzov, Samia Touileb, Petter Mæhlum +2

We describe NorDiaChange: the first diachronic semantic change dataset for Norwegian. NorDiaChange comprises two novel subsets, covering about 80 Norwegian nouns manually annotated…

cs.CL2021

The interplay between language similarity and script on a novel multi-layer Algerian dialect corpus

Samia Touileb, Jeremy Barnes

Recent years have seen a rise in interest for cross-lingual transfer between languages with similar typology, and between languages of various scripts. However, the interplay betwe…

cs.CL2021★ 1 cited

NorDial: A Preliminary Corpus of Written Norwegian Dialect Use

Jeremy Barnes, Petter Mæhlum, Samia Touileb

Norway has a large amount of dialectal variation, as well as a general tolerance to its use in the public sphere. There are, however, few available resources to study this variatio…

cs.CL2020

Named Entity Recognition without Labelled Data: A Weak Supervision Approach

Pierre Lison, Aliaksandr Hubin, Jeremy Barnes +1

Named Entity Recognition (NER) performance often degrades rapidly when applied to target domains that differ from the texts observed during training. When in-domain labelled data i…

cs.CL2017

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…