Given a set of agents qualifying or disqualifying each other, group identification is the task of identifying a socially qualified subgroup of agents. Social qualification depends on the specific rule used to aggregate individual qualifications. The classical bribery pr...

Explainable AI has emerged to be a key component for black-box machine learning approaches in domains with a high demand for reliability or transparency. Examples are medical assistant systems, and applications concerned with the General Data Protection Regulation of th...

Článek popisuje naší metodu pro určení změny sémantiky slov v čase (Lexical Semantic Change Detection) pro soutěž DIACR-Ita, kde jsme skončili na prvním místě. Naše metoda využívá učení bez učitele a je nezávislá na jazyce. skládá se z několika kroků: Vytvoření vektorov...

This work presents a new approach to unsupervised abstractive summarization based on maximizing a combination of coverage and fluency for a given length constraint. It introduces a novel method that encourages the inclusion of key terms from the original document into t...

Comment: Paper accepted in EASE2021

Taxonomies are an important ingredient of knowledge organization, and serve as a backbone for more sophisticated knowledge representations in intelligent systems, such as formal ontologies. However, building taxonomies manually is a costly endeavor, and hence, automatic...

In this paper, we investigate the use of linguistically motivated and computationally efficient structured language models for reranking N-best hypotheses in a statistical machine translation system. These language models, developed from Constraint Dependency Grammar pa...

Comment: Late upload, presented at Interspeech 2020

Bridging the performance gap between high- and low-resource languages has been the focus of much previous work. Typological features from databases such as the World Atlas of Language Structures (WALS) are a prime candidate for this, as such data exists even for very lo...

Although largely unrecognized, Gerry Brown had played a seminal and prescient role for the development of the currently heralded "first-principles approach" to nuclear dynamics known as "nuclear effective field theory" ($n$EFT for short). I give a brief account in what ...