📰 Brazilian Symposium in Information and Human Language Technology 2021 — accepted papers

Brazilian Symposium in Information and Human Language Technology 2021 is the 2021 edition of the Brazilian Symposium in Information and Human Language Technology, held in Porto Alegre, Brazil, November 2021 (publisher: Association for Computational Linguistics). The ACL Anthology lists 50 papers of it; our library holds 1 with our summaries. Below: the most cited papers, every accepted paper, and ours with their topics, authors and institutions.

All accepted papers (50)

The most cited first; 1 with our summary link to their page here, the others to the original.

1. A Long Texts Summarization Approach to Scientific ArticlesCinthia Souza, Renato Vimieiro
2. A Preliminary Study for Literary Rhyme Generation based on Neuronal Representation, Semantics and Shallow ParsingLuis-Gil Moreno-Jimenez, Juan-Manuel Torres-Moreno, Roseli Wedemann
3. A Weakly Supervised Dataset of Fine-Grained Emotions in PortugueseDiogo Cortiz, Jefferson Silva, Newton Calegari et al.
4. A machine learning approach to literary genre classification on Portuguese texts: circumventing NLP's standard varietiesDioneia Monte-Serrat, Mateus Machado, Evandro Ruiz
5. A proposito do verbo falar no português brasileiro: uma analise em corpus e em bases de dados verbaisIsaac Souza de Miranda Junior, Marcela Monteiro Lemos Couto, Francimeire Leme Coelho et al.
6. An Empirical Study of Information Retrieval and Machine Reading Comprehension Algorithms for an Online Education PlatformEduardo Montesuma, Lucas Carneiro, Adson Damasceno et al.
7. Analise de polaridade e de topicos em tweets no dominio da politica no BrasilLeonardo Capellaro, Helena Caseli
8. Annotation Difficulties in Natural Language InferenceAikaterini-Lida Kalouli, Livy Real, Annebeth Buis et al.our summary
9. Assessing the Impact of Stemming Algorithms Applied to Brazilian Legislative Documents RetrievalEllen Souza, Moriyama-Gyovana, Douglas Vitorio et al.
10. Audio MFCC-gram Transformers for respiratory insufficiency detection in COVID-19Marcelo Gauy, Marcelo Finger
11. Augmenting Customer Support with an NLP-based ReceptionistAndre Barbosa, Alan Godoy
12. Avaliação de parsers na detecão de relaões essenciais do modelo Universal Dependencies para o portuguêsLuana Belisario, Thiago Pardo
13. Banco de dados VerboWeb: um panorama do lexico verbal do PBMarcia Canado, Luana Amaral, Leticia Meirelles et al.
14. Classificação multimodal para detecão de produtos proibidos em uma plataforma marketplaceAlan Romualdo, Livy Real, Helena Caseli
15. Compilação de um corpus etiquetado da Lingua Geral AmazônicaDominick Alexandre, Juliana Gurgel, Leonel Araripe
16. Complexidade textual em noticias satiricas: uma analise para o português do BrasilGabriela Wick-Pedro, Roney Santos
17. Constituintes Frasais com Funão de Sujeito em Sentenas JudiciaisEster Motta, Maria Finatto
18. Construões de Estrutura Argumental com Argumento Preposicionado: uma modelagem linguistico-computacional na FrameNet BrasilVânia Almeida, Tiago Torrent
19. Criação e Anotação do corpus de resumos cientificos de Ciências Sociais AplicadasSabrina Taniwaki, Jackson Wilke da Cruz Souza
20. DP-Symptom-Identifier: uma estrategia para classificar sintomas de depressão utilizando um conjunto de dados textuais na lingua portuguesaVinicius Casani, Alinne Souza, Rafael Mantovani et al.
21. Descrião Preliminar do Corpus DANTEStocks: Diretrizes de Segmentação para Anotação segundo Universal DependenciesAriani Di Felippo, Caroline Postali, Gabriel Ceregatto et al.
22. Descrião de numerais segundo modelo Universal Dependencies e sua anotação no portuguêsMagali Duran, Lucelene Lopes, Thiago Pardo
23. Descrião de uma metodologia desenvolvida para revisão de um lexico de palavras de emoãoBarbara Ramos
24. Detecão de desinformação sobre Covid-19 no TwitterAna Mota, Wellington Franco, Cesar Mattos
25. Efeitos da variação linguistica na decisão lexicalVictor Souza, Raquel Freitag

See all 50 papers in Brazilian Symposium in Information and Human Language Technology 2021 — accepted papers →

📄 Papers with our summary in our library (1)

The most cited first (OpenAlex citations plus our library's).

1. Annotation Difficulties in Natural Language InferenceBrazilian Symposium in Information and Human Language TechnologyAikaterini-Lida Kalouli, Livy Real, Annebeth Buis, et al.2021 · 5 citations

🧭 Top topics

Topics of its works in our library, with the number of works on each.

🧮Reasoning (1)

📚 Fields

🎭Arts and Humanities (1)🖥️Computer Science (1)

🧑‍🔬 Top authors

Authors with a page who published here most often: their works here, and the citations of those works.

🏛️ Top institutions

Institutions on the bylines of its works here, by the number of works.

🎓Ludwig-Maximilians-Universität MünchenMunich · Germany1 work here

Place and dates from the event's site or the ACL Anthology; works and citations from OpenAlex and our library.

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This page in Markdown → https://md.research.elamur.ai/free/en/venues/stil/2021/