One of the first steps in the utterance interpretation pipeline of many task-oriented
conversational AI systems is to identify user intents and the corresponding slots. Since data …

During the last decade, hateful and sexist content towards women is being increasingly
spread on social networks. The exposure to sexist speech has serious consequences to …

Text preprocessing is not only an essential step to prepare the corpus for modeling but also
a key area that directly affects the natural language processing (NLP) application results. For …

The debate around fake news has grown recently because of the potential harm they can
have on different fields, being politics one of the most affected. Due to the amount of news …

The state-of-the-art model for structured sentiment analysis casts the task as a dependency
parsing problem, which has some limitations:(1) The label proportions for span prediction …

In this work, we show the process of building a large-scale training set from digital and
digitized collections at a national library. The resulting Bidirectional Encoder …

Structured sentiment analysis attempts to extract full opinion tuples from a text, but over time
this task has been subdivided into smaller and smaller sub-tasks, e, g,, target extraction or …

Sentiment analysis is a common task to understand people's reactions online. Still, we often
need more nuanced information: is the post negative because the user is angry or because …

The Internet has seen substantial growth of regional language data in recent years. It
enables people to express their opinion by incapacitating the language barriers. Urdu is a …

We present the ongoing NorLM initiative to support the creation and use of very large
contextualised language models for Norwegian (and in principle other Nordic languages) …