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Textual definitions constitute a fundamental source of knowledge when seeking the meaning of words, and they are the cornerstone of …

In this paper, we introduce a new annotated dataset which is aimed at supporting the development of NLP models to identify and …

Embeddings have been one of the most important topics of interest in NLP for the past decade. Representing knowledge through a …

Pre-trained language models provide the foundations for state-of-the-art performance across a wide range of natural language processing …

Depression and anxiety are psychiatric disorders that are observed in many areas of everyday life. For example, these disorders …

Pre-trained neural language models (LMs) have achieved impressive results in various natural language processing tasks, across …

State-of-the-art methods for Word Sense Disambiguation (WSD) combine two different features: the power of pre-trained language models …

The experimental landscape in natural language processing for social media is too fragmented. Each year, new shared tasks and datasets …

Semantic relations are core to how humans understand and express concepts in the real world using language. Recently, there has been a …

The ability to correctly model distinct meanings of a word is crucial for the effectiveness of semantic representation techniques. …