LOME: Large ontology multilingual extraction

P Xia, G Qin, S Vashishtha, Y Chen, T Chen… - arXiv preprint arXiv …, 2021 - arxiv.org
We present LOME, a system for performing multilingual information extraction. Given a text
document as input, our core system identifies spans of textual entity and event mentions with …

RuCoCo: a new Russian corpus with coreference annotation

V Dobrovolskii, M Michurina, A Ivoylova - arXiv preprint arXiv:2206.04925, 2022 - arxiv.org
We present a new corpus with coreference annotation, Russian Coreference Corpus
(RuCoCo). The goal of RuCoCo is to obtain a large number of annotated texts while …

[PDF][PDF] Pseudo-labelling for autoregressive structured prediction in coreference resolution

V Bolshakov, N Mikhaylovskiy - Proceedings of the International …, 2023 - scholar.archive.org
Coreference resolution is an important task in natural language processing, since it can be
applied to such vital tasks as information retrieval, text summarization, question answering …

Coreference resolution for Lithuanian language

V Žitkus - 2024 - epubl.ktu.edu
Abstract [eng] When automatically extracting information from text, it is important to identify
different mentions of the same entity or object and to aggregate the semantic information …

[PDF][PDF] Efficient Neural Methods for Coreference Resolution

P Xia - 2022 - jscholarship.library.jhu.edu
Coreference resolution is a core task in natural language processing and in creating
language technologies. Neural methods and models for automatically resolving references …

Интерфейс на основе нейросетевых языковых моделей для взаимодействия человека и робота на русском языке

АГ Сбоев, АВ Грязнов, РБ Рыбка… - Информатика …, 2023 - elibrary.ru
Разработка эффективных интерфейсных систем «человек-машина» для управления
робототехническими устройствами при помощи естественного языка является …