Brazil

As large amounts of unstructured data are generated on a regular basis, expressing or storing knowledge in a way that is useful remains a challenge. In this context, Relation Extraction (RE) is the task of automatically identifying relationships in unstructured textual data. Thus, we investigated the relation extraction on unstructured e-commerce data from the smartphone domain, using a BERT model fine-tuned for this task. We conducted two experiments to acknowledge how much relational information it is possible to extract from product sheets (structured data) and product titles (unstructured data), and a third experiment to compare both. Analysis shows that extracting relations within a title can retrieve correct relations that are not evident on the related sheet.

BRACIS 2021

Relation extraction in structured and unstructured data:a comparative investigation on smartphone titles in thee-commerce domain

unstructured data

relation extraction

e-commerce

stages 

COLING, the International Conference on Computational Linguistics, is one of the premier conferences for natural language processing and computational linguistics. Often grouped within the field of artificial intelligence, but actually pre-dating the development of artificial intelligence, advances in computational linguistics and natural language processing are now some of the major drivers behind the use of artificial intelligence for commercial and social applications – for example, on-line search, machine translation and with voice-assisted conversational devices.

First established in 1965, the biennial COLING conference is held in diverse parts of the globe and attracts participants from both top-ranked research centers and emerging countries. Today, the most important developments in our field are taking place not only in universities and academic research institutes, but also in industrial research departments and in technological startups. COLING conferences provide opportunities for all these communities to showcase their exciting developments.

COLING 2020

COLING, the International Conference on Computational Linguistics, is one of the premier conferences for natural language processing and computational linguistics. Often grouped within the field of artificial intelligence, but actually pre-dating the development of artificial intelligence, advances in computational linguistics and natural language processing are now some of the major drivers behind the use of artificial intelligence for commercial and social applications – for example, on-line search, machine translation and with voice-assisted conversational devices.

technical paper

**BRACIS** originated from the combination of the two most important scientific events in Brazil in Artificial Intelligence (AI) and Computational Intelligence (CI): the Brazilian Symposium on Artificial Intelligence – **SBIA** (22 editions), and the Brazilian Symposium on Neural Networks – **SBRN** (13 editions). **ENIAC** is a national forum for researchers, practitioners, educators and students to present and discuss innovations, trends, experiences, developments and work in progress in the fields of Artificial and Computational Intelligence. **STIL** is the bi-annual Language Technology event.
All events are supported by the Brazilian Computer Society – Special Interest Groups: **CE-IA**, **CE-IC** and **CE-PLN**.

To access the 10th Brazilian Conference on Intelligent Systems (**BRACIS**), you need to register for the conference.  Please visit the Conference official site to register

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BRACIS originated from the combination of the two most important scientific events in Brazil in Artificial Intelligence (AI) and Computational Intelligence (CI): the Brazilian Symposium on Artificial Intelligence – SBIA (22 editions), and the Brazilian Symposium on Neural Networks – SBRN (13 editions). 
ENIAC is a national forum for researchers, practitioners, educators and students to present and discuss innovations, trends, experiences, developments and work in progress in the fields of Artificial and Computational Intelligence. 
STIL is the bi-annual Language Technology event.
All events are supported by the Brazilian Computer Society – Special Interest Groups: CE-IA, CE-IC and CE-PLN

The annotation of informal texts within the Universal Dependencies framework requires two segmentation processes: definition of the relevant unity for syntactic analysis and identification of syntactic words. In this paper, we present the linguistic idiosyncrasies of DANTEStocks, a corpus of tweets from the financial market, written in Portuguese, and the general guidelines for their automatic segmentation. As such, this work contributes to a better understanding of linguistic aspects of tweets and the development of resources and tools for automatic processing of this subgenre of user-generated content.

Descrição Preliminar do Corpus DANTEStocks: Diretrizes de Segmentação para Anotação segundo Universal Dependencies

Apresentamos a instanciação que realizamos das diretrizes do modelo Universal Dependencies (UD) para a anotação de Numerais em português. Apresentamos as diferenças do conceito da classe de numerais na Nomenclatura Gramatical Brasileira e Portuguesa e nas diretrizes da UD. Apresentamos os principais problemas detectados . Os resultados da combinação das diretrizes da UD com as características dos numerais em português são apresentados em detalhes, com exemplos, juntamente com os argumentos que amparam cada decisão tomada. 


Descrição de numerais segundo modelo Universal Dependencies e sua anotação no português

Este trabalho apresenta uma proposta para representar computacionalmente as construções Transitiva Indireta, Transitiva Oblíqua e Bitransitiva
do Português Brasileiro, no âmbito do Constructicon da FrameNet Brasil.
Dessa forma, demonstra de que maneira as teorias irmãs da Semântica de Frames e da Gramática das Construções podem contribuir na busca por um modelo
de língua que alie forma e sentido em uma única representação.

Construções de Estrutura Argumental com Argumento Preposicionado: uma modelagem linguístico-computacional na FrameNet Brasil

Este trabalho objetiva apresentar a descrição e a modelagem linguístico-computacional das construções interrogativas QU- do Português brasileiro no Constructicon da FrameNet Brasil.

Modelagem de Construções Interrogativas QU- no Constructicon da FrameNet Brasil

Apresentamos a proposta de descrição e análise de dados verbais do português brasileiro presente no banco de dados VerboWeb. Os verbos foram agrupados e classificados de acordo com o arcabouço teórico-metodológico da Semântica Lexical, que assume que certas propriedades semânticas dos verbos determinam seu comportamento sintático. Mostramos como o banco de dados é estruturado e as generalizações que podemos fazer sobre o léxico verbal de nossa língua.

Banco de dados VerboWeb: um panorama do léxico verbal do PB

In this study, linguistic features were listed for classification of triples,based on a parallel corpus in Galician, Brazilian Portuguese (PT-BR) and European Spanish (EE). In the experiments, at the syntactic level, a relevant per-formance of features that offer greater difficulty to extract valid triples was ob-served, such as the corelated null object/subject and the verb-subject inversion,as well as relational triples that form ungrammatical sub-sentences. At the mor-phological level, it was observed that the grammatical class of the initial wordof each sub-sentence, especially when they are prepositions, were relevant forthe classification of the triples


Engenharia de features linguísticas para classificação de triplas relacionais

This article describes a methodology that was developed to review Emocionário, a lexicon of emotion words in Portugese from Linguateca's AC/DC project. This first portion of the review was carried out in seven of the 24 groups of Emocionário, being them “Desespero”, “Esperança”, “Humildade”, “Pena”, “Satisfação”, “Saudade” and “Surpresa”. The methodology is then illustrated, making use of examples taken from the corpus itself for each of the steps. Some of the main changes are documented and discussed at the end.

Descrição de uma metodologia desenvolvida para revisão semiautomática de um léxico de palavras de emoção

Um estudo exploratório de exposição de participantes às variantes de uma variável linguística saliente do ponto de vista social, a palatalização progressiva, foi realizado com o uso de rastreamento ocular, para examinar o processamento da variação linguística. Os resultados mostram que exposição à variante estigmatizada captou a atenção e aumentou a dilatação da pupila dos participantes, o que pode ser interpretado como evidência de uma resposta emocional.

Respostas emocionais da variação linguística: Análise exploratória de rastreio ocular

This article presents an analysis of the textual complexity of satirical and true news for Brazilian Portuguese. The Fake has been a big problem nowadays. Satirical content is an important point in the automatic detection of false news as its use can cause underlying confusion in the analysis. To carry out this research, the NILC-Metrix tool was applied, and 16 measures were evaluated, including descriptive, syntactic and semantic aspects, noting a greater complexity for real texts.

Complexidade textual em notícias satíricas: uma análise para o português do Brasil

This work describes the syntactic organization of a set of Judgments of the Special Civil Courts, whose documents must be accessible to the lay citizen without the assistance of a lawyer. The phrasal constituents with subject function in 110 Judgments are highlighted in the light of Terminology studies, Corpus Linguistics and research on reading comprehension. The study found that most of these constituents assume forms that tend to demand greater burden in reading and to exhibit traits that hardly coincide with patterns of written daily language, which makes their intelligibility difficult for the lay public.

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Relation extraction in structured and unstructured data:a comparative investigation on smartphone titles in thee-commerce domain

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Descrição Preliminar do Corpus DANTEStocks: Diretrizes de Segmentação para Anotação segundo Universal Dependencies

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