Public riots in Twitter: domain-based event filtering during civil unrest (2020)
- Authors:
- Autor USP: CABEZUDO, MARCO ANTONIO SOBREVILLA - ICMC
- Unidade: ICMC
- DOI: 10.1007/978-3-030-55814-7_4
- Subjects: PROCESSAMENTO DE LINGUAGEM NATURAL; RECONHECIMENTO DE TEXTO; MÍDIAS SOCIAIS
- Keywords: Riot; Social media analysis; Event detection; Clustering
- Language: Inglês
- Imprenta:
- Source:
- Título: Communications in Computer and Information Science
- ISSN: 1865-0929
- Volume/Número/Paginação/Ano: v. 1260, p. 49-59, 2020
- Conference titles: East-European Conference on Advances in Databases and Information Systems - ADBIS
- Este periódico é de assinatura
- Este artigo NÃO é de acesso aberto
- Cor do Acesso Aberto: closed
-
ABNT
ONCEVAY, Arturo et al. Public riots in Twitter: domain-based event filtering during civil unrest. Communications in Computer and Information Science. Cham: Springer. Disponível em: https://doi.org/10.1007/978-3-030-55814-7_4. Acesso em: 28 dez. 2025. , 2020 -
APA
Oncevay, A., Cabezudo, M. A. S., Alatrista-Salas, H., & Melgar, A. (2020). Public riots in Twitter: domain-based event filtering during civil unrest. Communications in Computer and Information Science. Cham: Springer. doi:10.1007/978-3-030-55814-7_4 -
NLM
Oncevay A, Cabezudo MAS, Alatrista-Salas H, Melgar A. Public riots in Twitter: domain-based event filtering during civil unrest [Internet]. Communications in Computer and Information Science. 2020 ; 1260 49-59.[citado 2025 dez. 28 ] Available from: https://doi.org/10.1007/978-3-030-55814-7_4 -
Vancouver
Oncevay A, Cabezudo MAS, Alatrista-Salas H, Melgar A. Public riots in Twitter: domain-based event filtering during civil unrest [Internet]. Communications in Computer and Information Science. 2020 ; 1260 49-59.[citado 2025 dez. 28 ] Available from: https://doi.org/10.1007/978-3-030-55814-7_4 - Investigação de métodos de desambiguação lexical de sentidos de verbos do português do Brasil
- Geração de linguagem natural por meio de representações semânticas abstratas para o português do Brasil
- Efficient strategies for hierarchical text classification: external knowledge and auxiliary tasks
- NILC at SR'20: exploring pre-trained models in surface realisation
- Low-resource AMR-to-Text generation: a study on brazilian portuguese
- Towards a general abstract meaning representation corpus for brazilian portuguese
- NILC at WebNLG+: pretrained sequence-to-sequence models on RDF-to-text generation
- Exploring a POS-based two-stage approach for improving low-resource AMR-to-text generation
- Back-translation as strategy to tackle the lack of corpus in natural language generation from semantic representations
- The AMR-PT corpus and the semantic annotation of challenging sentences from journalistic and opinion texts
Informações sobre o DOI: 10.1007/978-3-030-55814-7_4 (Fonte: oaDOI API)
Download do texto completo
| Tipo | Nome | Link | |
|---|---|---|---|
 |
3005129.pdf |
How to cite
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
