no code implementations • 17 Feb 2021 • Lasse Borgholt, Jakob Drachmann Havtorn, Željko Agić, Anders Søgaard, Lars Maaløe, Christian Igel
We test this hypothesis by measuring temporal context sensitivity and evaluate how the models perform when we constrain the amount of contextual information in the audio input.
no code implementations • ACL 2020 • Jakob D. Havtorn, Jan Latko, Joakim Edin, Lasse Borgholt, Lars Maaløe, Lorenzo Belgrano, Nicolai F. Jacobsen, Regitze Sdun, Željko Agić
We address a challenging and practical task of labeling questions in speech in real time during telephone calls to emergency medical services in English, which embeds within a broader decision support system for emergency call-takers.
Automatic Speech Recognition Automatic Speech Recognition (ASR) +1
no code implementations • COLING 2020 • Robert Litschko, Ivan Vulić, Željko Agić, Goran Glavaš
Current methods of cross-lingual parser transfer focus on predicting the best parser for a low-resource target language globally, that is, "at treebank level".
1 code implementation • EMNLP 2018 • Barbara Plank, Željko Agić
We introduce DsDs: a cross-lingual neural part-of-speech tagger that learns from disparate sources of distant supervision, and realistically scales to hundreds of low-resource languages.
1 code implementation • LREC 2018 • Željko Agić, Natalie Schluter
In this paper, we propose to advance the research in SNLI-style natural language inference toward multilingual evaluation.
1 code implementation • EACL 2017 • Héctor Martínez Alonso, Željko Agić, Barbara Plank, Anders Søgaard
We propose UDP, the first training-free parser for Universal Dependencies (UD).