EMBEDDIA Tools, Datasets and Challenges: Resources and Hackathon Contributions

no code implementations • EACL (Hackashop) 2021 • Senja Pollak, Marko Robnik-Šikonja, Matthew Purver, Michele Boggia, Ravi Shekhar, Marko Pranjić, Salla Salmela, Ivar Krustok, Tarmo Paju, Carl-Gustav Linden, Leo Leppänen, Elaine Zosa, Matej Ulčar, Linda Freienthal, Silver Traat, Luis Adrián Cabrera-Diego, Matej Martinc, Nada Lavrač, Blaž Škrlj, Martin Žnidaršič, Andraž Pelicon, Boshko Koloski, Vid Podpečan, Janez Kranjc, Shane Sheehan, Emanuela Boros, Jose G. Moreno, Antoine Doucet, Hannu Toivonen

This paper presents tools and data sources collected and released by the EMBEDDIA project, supported by the European Union’s Horizon 2020 research and innovation program.

Transformer verbatim in-context retrieval across time and scale

1 code implementation • 11 Nov 2024 • Kristijan Armeni, Marko Pranjić, Senja Pollak

We further found that the development of verbatim in-context retrieval is positively correlated with the learning of zero-shot benchmarks.

Retrieval

Semantic change detection for Slovene language: a novel dataset and an approach based on optimal transport

1 code implementation • 26 Feb 2024 • Marko Pranjić, Kaja Dobrovoljc, Senja Pollak, Matej Martinc

In this paper, we focus on the detection of semantic changes in Slovene, a less resourced Slavic language with two million speakers.

Change Detection Sentence