Learning idiomatic expressions is seen as one of the most challenging stages in second-
language learning because of their unpredictable meaning. A similar situation holds for their …

Many Natural Language Processing (NLP) systems use annotated corpora for training and
evaluation. However, labeled data is often costly to obtain and scaling annotation projects is …

MWE knowledge is key in the process of learning a foreign language, but its teaching
remains hindered by the lack of list of expressions connected to pedagogical aims. In this …

Communication through natural language dialogue has enabled humans to satisfy social
needs, share knowledge, collaboratively solve problems, and negotiate compromises …

In this paper, we present an experiment performed with the aim of evaluating if linguistic
knowledge of expert quality about Romanian synonyms could be crowdsourced from L1 …

In this article, we present a recent trend of approaches, hereafter referred to as Collect4NLP,
and discuss its applicability. Collect4NLP-based approaches collect inputs from language …

In the second part, we study a different type of feedback (answering questions about the
language, such as grammar or vocabulary questions) and introduce a new challenge …

We introduce a method to generate candidate pairs of related Italian words sharing (or not)
synonymous relations from the ConceptNet knowledgebase. The pairs are intended to …

We also discuss the challenges involved and lessons learned, whether in orchestrating and
leading a new R&I community or the challenges we faced and generally observed in the …

Annotated data is essential in many scientific disciplines, including natural language
processing, linguistics, language acquisition research, bioinformatics, healthcare, or the …