“Natural language inference (recognizing textual entailment task in the past) belongs to the most prominent tasks in current NLP, it is a keystone of natural language understanding. NLI can be stated as a classification task whether a given hypothesis can be inferred from a given premise. In this talk, we are going introduce a large variety of tasks accompanied by illustrative examples and review corresponding state-of-the-art results. This talk may serve as starting point for anyone who want to apply new approaches and models to investigate these not so much known tasks (as well as apply them in downstream applications).”
“A Survey of Tasks Derived from or Related to Natural Language Inference” será apresentada dia 23 de fevereiro, às 17:00, na sala I 025, com a moderação do Prof. Carlos Soares (DEI).
“Martin Víta graduated at the Faculty of Mathematics and Physics, Charles University in Prague in the field of discrete models and algorithms. Later, he obtained PhD degree at the Faculty of Informatics, Masaryk University in Brno in natural language processing. Currently, he serves as an assistant professor at the Faculty of Informatics and Statistics, Prague University of Economics and Business where he teaches mathematics and text analytics. He is also a researcher at Czech Academy of Sciences where he focuses in ML and text mining topics.”