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06/05/2023
Text-To-KG Alignment: Comparing Current Methods on Classification Tasks
In contrast to large text corpora, knowledge graphs (KG) provide dense a...
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05/06/2023
NorBench – A Benchmark for Norwegian Language Models
We present NorBench: a streamlined suite of NLP tasks and probes for eva...
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04/27/2023
Entity-Level Sentiment Analysis (ELSA): An exploratory task survey
This paper explores the task of identifying the overall sentiment expres...
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04/12/2023
Measuring Normative and Descriptive Biases in Language Models Using Census Data
We investigate in this paper how distributions of occupations with respe...
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03/17/2023
Trained on 100 million words and still in shape: BERT meets British National Corpus
While modern masked language models (LMs) are trained on ever larger cor...
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08/31/2022
Contextualized language models for semantic change detection: lessons learned
We present a qualitative analysis of the (potentially erroneous) outputs...
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03/24/2022
Direct parsing to sentiment graphs
This paper demonstrates how a graph-based semantic parser can be applied...
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05/30/2021
Structured Sentiment Analysis as Dependency Graph Parsing
Structured sentiment analysis attempts to extract full opinion tuples fr...
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04/13/2021
Large-Scale Contextualised Language Modelling for Norwegian
We present the ongoing NorLM initiative to support the creation and use ...
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01/30/2021
If you've got it, flaunt it: Making the most of fine-grained sentiment annotations
Fine-grained sentiment analysis attempts to extract sentiment holders, t...
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02/19/2020
Hierarchical models vs. transfer learning for document-level sentiment classification
Documents are composed of smaller pieces - paragraphs, sentences, and to...
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11/28/2019
A Fine-grained Sentiment Dataset for Norwegian
We here introduce NoReCfine, a dataset for fine-grained sentiment analys...
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11/27/2019
NorNE: Annotating Named Entities for Norwegian
This paper presents NorNE, a manually annotated corpus of named entities...
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07/29/2019
One-to-X analogical reasoning on word embeddings: a case for diachronic armed conflict prediction from news texts
We extend the well-known word analogy task to a one-to-X formulation, in...
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06/18/2019
Improving Sentiment Analysis with Multi-task Learning of Negation
Sentiment analysis is directly affected by compositional phenomena in la...
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06/13/2019
Sentiment analysis is not solved! Assessing and probing sentiment classification
Neural methods for SA have led to quantitative improvements over previou...
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06/12/2019
Probing Multilingual Sentence Representations With X-Probe
This paper extends the task of probing sentence representations for ling...
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09/18/2018
Transfer and Multi-Task Learning for Noun-Noun Compound Interpretation
In this paper, we empirically evaluate the utility of transfer and multi...
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06/09/2018
Diachronic word embeddings and semantic shifts: a survey
Recent years have witnessed a surge of publications aimed at tracing tem...
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10/15/2017
NoReC: The Norwegian Review Corpus
This paper presents the Norwegian Review Corpus (NoReC), created for tra...
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07/26/2017
Temporal dynamics of semantic relations in word embeddings: an application to predicting armed conflict participants
This paper deals with using word embedding models to trace the temporal ...
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08/12/2016
