In this article, we introduce and discuss the pervasive issue of bias in the large language
models that are currently at the core of mainstream approaches to Natural Language …

Polysemy is the type of lexical ambiguity where a word has multiple distinct but related
interpretations. In the past decade, it has been the subject of a great many studies across …

Abstract Word Sense Disambiguation (WSD) aims at making explicit the semantics of a word
in context by identifying the most suitable meaning from a predefined sense inventory …

The present work explores computer-assisted simultaneous interpreting (CASI) from a
primarily cognitive perspective. Despite concerns over the potentially negative impact of …

Abstract Named Entity Recognition (NER) is the task of identifying named entities in texts
and classifying them through specific semantic categories, a process which is crucial for a …

Relation Extraction (RE) is a task that identifies relationships between entities in a text,
enabling the acquisition of relational facts and bridging the gap between natural language …

Entity Linking (EL) systems have achieved impressive results on standard benchmarks
mainly thanks to the contextualized representations provided by recent pretrained language …

With state-of-the-art systems having finally attained estimated human performance, Word
Sense Disambiguation (WSD) has now joined the array of Natural Language Processing …

Named entities–typically expressed via proper nouns–play a key role in Natural Language
Processing, as their identification and comprehension are crucial in tasks such as Relation …

Symbolic meaning representations of natural language text have been studied since at least
the 1960s. With the availability of large annotated corpora, and more powerful machine …