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10/12/2022
Annotating Norwegian Language Varieties on Twitter for Part-of-Speech
Norwegian Twitter data poses an interesting challenge for Natural Langua...
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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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05/16/2021
The interplay between language similarity and script on a novel multi-layer Algerian dialect corpus
Recent years have seen a rise in interest for cross-lingual transfer bet...
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04/19/2021
skweak: Weak Supervision Made Easy for NLP
We present skweak, a versatile, Python-based software toolkit enabling N...
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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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04/11/2021
NorDial: A Preliminary Corpus of Written Norwegian Dialect Use
Norway has a large amount of dialectal variation, as well as a general t...
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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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10/16/2020
Multi-task Learning of Negation and Speculation for Targeted Sentiment Classification
The majority of work in targeted sentiment analysis has concentrated on ...
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04/30/2020
Named Entity Recognition without Labelled Data: A Weak Supervision Approach
Named Entity Recognition (NER) performance often degrades rapidly when a...
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04/08/2020
Cross-lingual Emotion Intensity Prediction
Emotion intensity prediction determines the degree or intensity of an em...
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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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06/24/2019
Embedding Projection for Targeted Cross-Lingual Sentiment: Model Comparisons and a Real-World Study
Sentiment analysis benefits from large, hand-annotated resources in orde...
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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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06/18/2019
LTG-Oslo Hierarchical Multi-task Network: The importance of negation for document-level sentiment in Spanish
This paper details LTG-Oslo team's participation in the sentiment track ...
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06/13/2019
On the Effect of Word Order on Cross-lingual Sentiment Analysis
Current state-of-the-art models for sentiment analysis make use of word ...
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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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06/12/2018
Projecting Embeddings for Domain Adaptation: Joint Modeling of Sentiment Analysis in Diverse Domains
Domain adaptation for sentiment analysis is challenging due to the fact ...
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06/12/2018
Projecting Embeddings for Domain Adaption: Joint Modeling of Sentiment Analysis in Diverse Domains
Domain adaptation for sentiment analysis is challenging due to the fact ...
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05/23/2018
Bilingual Sentiment Embeddings: Joint Projection of Sentiment Across Languages
Sentiment analysis in low-resource languages suffers from a lack of anno...
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03/22/2018
MultiBooked: A Corpus of Basque and Catalan Hotel Reviews Annotated for Aspect-level Sentiment Classification
While sentiment analysis has become an established field in the NLP comm...
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09/13/2017