Abstract Named Entity Recognition (NER) is one of the most common tasks of the natural
language processing. The purpose of NER is to find and classify tokens in text documents …

Named Entity Recognition (NER) task is an important part for conversational AI. A typical
user of a conversation system has no time to check the spelling or grammar in his or her …

Working with the literary heritage of writers requires the studying of a large amount of
materials. Finding them can take a considerable amount of time even when using search …

Abstract Named Entity Recognition is one of the most popular tasks of the natural language
processing. Pre-trained word embeddings learned from unlabeled text have become a …

Актуальность темы. В последнее время в мире наблюдается быстрый рост накопления
знаний, так называемый “информационный взрыв”. Поток генерируемой информации …

Named entity recognition (NER) is aimed at obtaining the important information from the
unstructured data presented in the form of natural language texts. In this work, we …

This paper describes an experiment in testing 3 NER models (spaCy, Stanza and
DeepPavlov) for Russian. The models were tested on WikiAnn Russian subset. Standard …

Named entity recognition (NER) is aimed at obtaining the important information from the
unstructured data presented in the form of natural language texts. In this paper, we …

Deep neural network models have recently received tremendous attentions from both
academy and industry, and of course, garnered amazing results in a variety of domains …

Анотація Метою роботи є дослідження методів машинного навчання для задачі
розпізнавання іменованих сутностей. У результаті роботи було розглянуто …