A Multilingual Benchmark to Capture Olfactory Situations over Time

no code implementations • LChange (ACL) 2022 • Stefano Menini, Teresa Paccosi, Sara Tonelli, Marieke van Erp, Inger Leemans, Pasquale Lisena, Raphael Troncy, William Tullett, Ali Hürriyetoğlu, Ger Dijkstra, Femke Gordijn, Elias Jürgens, Josephine Koopman, Aron Ouwerkerk, Sanne Steen, Inna Novalija, Janez Brank, Dunja Mladenic, Anja Zidar

We present a benchmark in six European languages containing manually annotated information about olfactory situations and events following a FrameNet-like approach.

Building a Multilingual Taxonomy of Olfactory Terms with Timestamps

no code implementations • LREC 2022 • Stefano Menini, Teresa Paccosi, Serra Sinem Tekiroğlu, Sara Tonelli

Olfactory references play a crucial role in our memory and, more generally, in our experiences, since researchers have shown that smell is the sense that is most directly connected with emotions.

KIND: an Italian Multi-Domain Dataset for Named Entity Recognition

1 code implementation • LREC 2022 • Teresa Paccosi, Alessio Palmero Aprosio

The dataset (around 600K tokens) mostly contains manual gold annotations in three different domains (news, literature, and political discourses) and a semi-automatically annotated part.

named-entity-recognition Named Entity Recognition +1