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Found 24 papers, 13 papers with code
LTG-ST at NADI Shared Task 1: Arabic Dialect Identification using a Stacking Classifier
This paper presents our results for the Nuanced Arabic Dialect Identification (NADI) shared task of the Fifth Workshop for Arabic Natural Language Processing (WANLP 2020).
Using Gender- and Polarity-Informed Models to Investigate Bias
More specifically, we add information about the gender of critics and book authors when classifying the polarity of book reviews, and the polarity of the reviews when classifying the genders of authors and critics.
Gender and sentiment, critics and authors: a dataset of Norwegian book reviews
We also explore the differences in how this is done by male and female critics.
Occupational Biases in Norwegian and Multilingual Language Models
In this paper we explore how a demographic distribution of occupations, along gender dimensions, is reflected in pre-trained language models.
Lexicon information in neural sentiment analysis: a multi-task learning approach
This paper explores the use of multi-task learning (MTL) for incorporating external knowledge in neural models.
JSEEGraph: Joint Structured Event Extraction as Graph Parsing
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 Parsing.
Learning Horn Envelopes via Queries from Large Language Models
We propose a new algorithm that aims at extracting the "tightest Horn approximation" of the target theory and that is guaranteed to terminate in exponential time (in the worst case) and in polynomial time if the target has polynomially many non-Horn examples.
NorBench -- A Benchmark for Norwegian Language Models
We present NorBench: a streamlined suite of NLP tasks and probes for evaluating Norwegian language models (LMs) on standardized data splits and evaluation metrics.
Measuring Normative and Descriptive Biases in Language Models Using Census Data
We investigate in this paper how distributions of occupations with respect to gender is reflected in pre-trained language models.
Measuring Harmful Representations in Scandinavian Language Models
Scandinavian countries are perceived as role-models when it comes to gender equality.
EventGraph at CASE 2021 Task 1: A General Graph-based Approach to Protest Event Extraction
This paper presents our submission to the 2022 edition of the CASE 2021 shared task 1, subtask 4.
EventGraph: Event Extraction as Semantic Graph Parsing
Event extraction therefore becomes a graph parsing problem, which provides the following advantages: 1) performing event detection and argument extraction jointly; 2) detecting and extracting multiple events from a piece of text; and 3) capturing the complicated interaction between event arguments and triggers.
Annotating Norwegian Language Varieties on Twitter for Part-of-Speech
We show that models trained on Universal Dependency (UD) data perform worse when evaluated against this dataset, and that models trained on Bokm{\aa}l generally perform better than those trained on Nynorsk.
NorDiaChange: Diachronic Semantic Change Dataset for Norwegian
We describe NorDiaChange: the first diachronic semantic change dataset for Norwegian.
The interplay between language similarity and script on a novel multi-layer Algerian dialect corpus
However, the interplay between language similarity and difference in script on cross-lingual transfer is a less studied problem.
NorDial: A Preliminary Corpus of Written Norwegian Dialect Use
Norway has a large amount of dialectal variation, as well as a general tolerance to its use in the public sphere.
Identifying Sentiments in Algerian Code-switched User-generated Comments
We present in this paper our work on Algerian language, an under-resourced North African colloquial Arabic variety, for which we built a comparably large corpus of more than 36, 000 code-switched user-generated comments annotated for sentiments.
Named Entity Recognition without Labelled Data: A Weak Supervision Approach
When in-domain labelled data is available, transfer learning techniques can be used to adapt existing NER models to the target domain.
Measuring Diachronic Evolution of Evaluative Adjectives with Word Embeddings: the Case for English, Norwegian, and Russian
We measure the intensity of diachronic semantic shifts in adjectives in English, Norwegian and Russian across 5 decades.
Automatic identification of unknown names with specific roles
Automatically identifying persons in a particular role within a large corpus can be a difficult task, especially if you don{'}t know who you are actually looking for.
NoReC: The Norwegian Review Corpus
As resources for sentiment analysis have so far been unavailable for Norwegian, NoReC represents a highly valuable and sought-after addition to Norwegian language technology.
