1 code implementation • WASSA (ACL) 2022 • Leo Obadić, Martin Tutek, Jan Šnajder
Twitter has slowly but surely established itself as a forum for disseminating, analysing and promoting NLP research.
1 code implementation • 18 Jan 2024 • Haritz Puerto, Martin Tutek, Somak Aditya, Xiaodan Zhu, Iryna Gurevych
Reasoning is a fundamental component of language understanding.
1 code implementation • 4 Oct 2023 • Fran Jelenić, Josip Jukić, Martin Tutek, Mate Puljiz, Jan Šnajder
Effective out-of-distribution (OOD) detection is crucial for reliable machine learning models, yet most current methods are limited in practical use due to requirements like access to training data or intervention in training.
Out-of-Distribution Detection Out of Distribution (OOD) Detection +2
1 code implementation • 14 Sep 2023 • Rachneet Sachdeva, Martin Tutek, Iryna Gurevych
In recent years, large language models (LLMs) have shown remarkable capabilities at scale, particularly at generating text conditioned on a prompt.
no code implementations • 15 Nov 2022 • Josip Jukić, Martin Tutek, Jan Šnajder
By connecting our findings to instance categories based on training dynamics, we show that the agreement of saliency method explanations is very low for easy-to-learn instances.
no code implementations • WS 2020 • Martin Tutek, Jan Šnajder
The attention mechanism has quickly become ubiquitous in NLP.
no code implementations • WS 2018 • Martin Tutek, Jan Šnajder
Natural language processing has greatly benefited from the introduction of the attention mechanism.
no code implementations • WS 2017 • Maria Pia di Buono, Jan {\v{S}}najder, Bojana Dalbelo Ba{\v{s}}i{\'c}, Goran Glava{\v{s}}, Martin Tutek, Natasa Milic-Frayling
We present a preliminary study on predicting news values from headline text and emotions.
no code implementations • SEMEVAL 2017 • Leon Rotim, Martin Tutek, Jan {\v{S}}najder
Our best-performing submission scored 3rd on the task out of 29 teams and 4th out of 45 submissions with a cosine score of 0. 733.
no code implementations • WS 2017 • Maria Pia di Buono, Martin Tutek, Jan {\v{S}}najder, Goran Glava{\v{s}}, Bojana Dalbelo Ba{\v{s}}i{\'c}, Nata{\v{s}}a Mili{\'c}-Frayling
In this paper, we describe our preliminary study on annotating event mention as a part of our research on high-precision news event extraction models.
no code implementations • SEMEVAL 2016 • Martin Tutek, Ivan Sekuli{\'c}, Paula Gombar, Ivan Paljak, Filip {\v{C}}ulinovi{\'c}, Filip Boltu{\v{z}}i{\'c}, Mladen Karan, Domagoj Alagi{\'c}, Jan {\v{S}}najder