Understanding discourse structures of news articles is vital to effectively contextualize the
occurrence of a news event. To enable computational modeling of news structures, we apply …

Aspectual meaning refers to how the internal temporal structure of situations is presented.
This includes whether a situation is described as a state or as an event, whether the …

The field of information security suffers from the lack of labelled entities. This study proposes
a zero-shot hybrid approach, combining a clustering algorithm with a method for …

Semantic representation that supports the choice of an appropriate connective between
pairs of clauses inherently addresses discourse coherence, which is important for tasks such …

Detecting aspectual properties of clauses in the form of semantic clause types has been
shown to depend on a combination of syntactic-semantic and contextual features. We …

We re-examine the situation entity (SE) classification task with varying amounts of available
training data. We exploit a Transformer-based variational autoencoder to encode sentences …

Abstract Representation learning is crucial for processing sequential and discrete data, such
as text in natural language processing (NLP). From classical methods like topic modeling to …

Eleven years ago, Dr. Javad Hatami introduced me to cognitive science and forever
changed my life. I owe much to his keen mind and to his patient and kind heart. Later, it has …