Textual information is becoming available in abundance on the web, arising the requirement
of techniques and tools to extract the meaningful information. One of such an important …

We present two recently released opensource taggers: NameTag is a free software for
named entity recognition (NER) which achieves state-of-the-art performance on Czech; …

We describe and evaluate a character-level tagger for language-independent Named Entity
Recognition (NER). Instead of words, a sentence is represented as a sequence of …

We present RobeCzech, a monolingual RoBERTa language representation model trained
on Czech data. RoBERTa is a robustly optimized Transformer-based pretraining approach …

Identifying named entities such as a person, location or organization, in documents can
highlight key information to readers. Training Named Entity Recognition (NER) models …

In this paper, we addressed the Named Entity Recognition (NER) problem for
morphologically rich languages by employing a semi-supervised learning approach based …

In this paper, we propose new features for Named Entity Recognition (NER) based on latent
semantics. Furthermore, we explore the effect of unsupervised morphological information on …

In this paper, we present our effort to consolidate and push further the named entity
recognition (NER) research for the Czech language. The research in Czech is based upon a …

This paper describes Slav-NER: the 3rd Multilingual Named Entity Challenge in Slavic
languages. The tasks involve recognizing mentions of named entities in Web documents …

In this paper we study the effects of various segment representations in the named entity
recognition (NER) task. The segment representation is responsible for mapping multi-word …