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155 Research products (1 rule applied)

  • Digital Humanities and Cultural Heritage
  • Portuguese

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  • image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
    Authors: Paula Viana; José Pedro Pinto;

    A Portuguese text corpus created from online newspapers with a total of 394,825,480 tokens and 33,089,734 sentences. If you use this repository, please cite this paper: Pinto JP, Viana P, Teixeira I, Andrade M. 2022. Improving word embeddings in Portuguese: increasing accuracy while reducing the size of the corpus. PeerJ Computer Science 8:e964 https://doi.org/10.7717/peerj-cs.964

    image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/ ZENODOarrow_drop_down
    image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
    ZENODO
    Dataset . 2022
    License: CC BY
    Data sources: ZENODO
    image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
    ZENODO
    Dataset . 2022
    License: CC BY
    Data sources: Datacite
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      image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/ ZENODOarrow_drop_down
      image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
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      Dataset . 2022
      License: CC BY
      Data sources: ZENODO
      image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
      ZENODO
      Dataset . 2022
      License: CC BY
      Data sources: Datacite
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  • image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
    Authors: Leandro Oliveira da Silva; Daniel Mesquita Cunha; Raimundo Santos Moura;

    This paper is focused on developing an intelligent chat agent called chatbot to understand real conversations in a pharmacy context. The proposed methodology is characterized by the development of a chatbot to interact with customers as if it were a real attendant, based on three analyzes performed to process the question and return the most appropriate answer. Based on the architecture proposed in this work, experiments were performed to test the system's ability to answer users' questions. Survey results show that chatbot while having some limitations is a good customer service tool that can bring many benefits to businesses.

    image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/ ZENODOarrow_drop_down
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    ZENODO
    Article . 2019
    License: CC BY
    Data sources: Datacite
    image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
    ZENODO
    Conference object . 2019
    License: CC BY
    Data sources: ZENODO
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      image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/ ZENODOarrow_drop_down
      image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
      ZENODO
      Article . 2019
      License: CC BY
      Data sources: Datacite
      image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
      ZENODO
      Conference object . 2019
      License: CC BY
      Data sources: ZENODO
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  • image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
    Authors: Balsa, João;

    In this work I propose an architecture that can serve as a basis to natural language processing systems that, besides pursuing its language processing goals, are robust (in the sense that the nonrecognition of some input can be automatically overcome) and/or can evolve (in the sense that the recovery from detected faults may contribute to the update of system components, allowing for an improved performance in future analogous situations). This architecture is developed in a context where the main goal is to improve the quality of the entries of Portuguese lexicons. For instance, one of the goals is to improve the subcategorization information assigned to verbs. The fact that the techniques that are used fore this purpose need large amounts of real text (therefore, faulty text), and the fact that the tools used (part-of-speech taggers, for instance) also produce mistakes, motivates the need to consider the development of robust techniques for this process. The need to face different potential problems and to integrate tools of different nature motivated the definition of a distributed architecture allowing the integration of heterogeneous components. On one hand, this approach results in an improved system performance (due to parallelism) and, on the other hand, it allows for a greater design simplicity with respect to some system components. I propose, in first place, a hierarchical architecture for diagnosing problems in the analysis of sentences that were not fully parsed, and, in second place, an architecture, in which the previous one is included, that can be used with two different perspectives: one in which the focus is on the evolution of the system, and another in which the focus is on robustness.

    image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/ Universidade de Lisb...arrow_drop_down
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      image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/ Universidade de Lisb...arrow_drop_down
      image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
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  • image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
    Authors: Abalada, Silvana; Cabarrão, Vera; Cardoso, Aida;

    We present a semantic taxonomy to classify nominal multiword lexical units (MLU) for European Portuguese. Despite being built by single words, MLU don’t have a compositional meaning and have morphosyntactic restrictions. These units are so important in any text that their identification and classification is essential for information extraction and retrieval in Natural Language Processing. We adapted and applied a semantic taxonomy, based on the Lancaster semantic lexicon (Piao et alii, 2005), to a list of MLU extracted from CETEMPúblico. The results of the annotation task validated our taxonomy, because we were able to classify 97,1% of the corpus.

    image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/ LAReferencia - Red F...arrow_drop_down
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      image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/ LAReferencia - Red F...arrow_drop_down
      image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
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  • image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
    Authors: Balsa, João;

    Made available in DSpace on 2009-02-10T13:13:30Z (GMT). No. of bitstreams: 1 04-20.pdf: 1399935 bytes, checksum: 010c72341dd2bef58a12270eba45fafa (MD5) Previous issue date: 2004-12 Made available in DSpace on 2014-11-14T16:25:07Z (GMT). No. of bitstreams: 1 04-20.pdf: 1399935 bytes, checksum: 010c72341dd2bef58a12270eba45fafa (MD5) Previous issue date: 2004-12

    image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/ LAReferencia - Red F...arrow_drop_down
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      image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/ LAReferencia - Red F...arrow_drop_down
      image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
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  • image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
    Authors: Rodrigo Caus; Arthur Baia; Victor Ávila; Victor Hochgreb;

    The E-Commerce Question Answering Dataset (ECQuAD) is a reading comprehension dataset for question answering in brazilian e-commerce platforms. It consists of questions annotated by crowdworkers on a set of products' descriptions. It follows the SQuAD-v2 format, so questions might be unanswerable. This is a development set, for public usage, powered by GoBots.

    image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/ ZENODOarrow_drop_down
    image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
    ZENODO
    Dataset . 2022
    License: CC BY
    Data sources: ZENODO
    image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
    ZENODO
    Dataset . 2022
    License: CC BY
    Data sources: Datacite
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      image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/ ZENODOarrow_drop_down
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      ZENODO
      Dataset . 2022
      License: CC BY
      Data sources: ZENODO
      image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
      ZENODO
      Dataset . 2022
      License: CC BY
      Data sources: Datacite
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  • image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
    Authors: Alexandre ribeiro, Filipa; António, Nuno; Correia, Marisol B.;

    Apresenta-se uma proposta metodológica para a análise comparativa de comentários de viagens on-line (CVO), ao nível do destino e da língua. Optou-se por uma abordagem exploratória das cidades universitárias e património mundial da UNESCO (Coimbra, Portugal; Salamanca, Espanha), assumindo como ponto de partida que a classificação da UNESCO e as universidades medievais são fatores (1) comparáveis e (2) fundamentais para a atração de turistas. Com base na recolha de 8.638 CVO publicados no TripAdvisor em português, espanhol e inglês (2017-2018) sobre dez locais de cada cidade, propõe-se uma metodologia mista de técnicas de análise quantitativa e qualitativa. Concluiu-se que a reputação UNESCO não parece ser relevante para os visitantes-comentadores; são, contudo, distintos os aspetos realçados, de acordo com a língua. Este estudo permite destacar as vantagens da aplicação de vários métodos de análise num estudo comparativo e demonstrar a riqueza informacional dos CVO como instrumento para (re)posicionar o destino. info:eu-repo/semantics/publishedVersion

    image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/ Sapientia Repositóri...arrow_drop_down
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      image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/ Sapientia Repositóri...arrow_drop_down
      image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
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  • image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
    Authors: Melo, Dora; Pimenta Rodrigues, Irene; Beires Nogueira, Vitor;

    The Question-Answering (QA) systems fall in the study area of Information Retrieval (IR) and Natural Language Processing (NLP). Given a set of documents, a QA system tries to obtain the correct answer to the questions posed in Natural Language (NL). Normally, the QA systems comprise three main components: question classification, information retrieval and answer extraction. Question classification plays a major role in QA systems since it classifies questions according to the type in their entities. The techniques of information retrieval are used to obtain and to extract relevant answers in the knowledge domain. Finally, the answer extraction component is an emerging topic in the QA systems. This module basically classifies and validates the candidate answers. In this paper we present an overview of the QA systems, focusing on mature work that is related to cooperative systems and that has got as knowledge domain the Semantic Web (SW). Moreover, we also present our proposal of a cooperative QA for the SW.

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    Authors: Moreira, André; Marques, Artur; Modesto, Cristiana; Nobre, Nádia; +3 Authors

    Este artigo tem a finalidade de apresentar o tópico denominado por “Processamento de linguagem natural aplicado à inteligência artificial”. Tem como objetivos divulgar os seguintes itens: Conceitos, nomeadamente o Teorema de Bayes, Jaccard Index, Matplotlib, NLP, e ferramentas como o NLTK; “Chi-Square”, “NumPy” - onde será abordada a definição de cada; “SpaCy” – onde serão explicados os conceitos inerentes a este pacote. Para tal recorreu-se à revisão bibliográfica para a pesquisa de artigos relacionados com o exemplo inerente ao processamento de linguagem natural com “Machine Learning”, e utilizou-se um exemplo de um algoritmo de estilometria realizado no âmbito da unidade curricular de Inteligência Artificial, lecionada pelo docente Artur Marques. This article aims to present the topic called "Natural language processing applied to artificial intelligence". Its objectives are to disseminate the following items: Concepts, namely the Bayes Theorem, Jaccard Index, Matplotlib, NLP, and tools such as NLTK; "Chi-Square", "NumPy" - where will be addressed the definition of each; "SpaCy" – where the concepts inherent to this package will be explained. For this purpose, the bibliographic review was used for the research of articles related to the example inherent to the processing of natural language with "Machine Learning", and an example of a Stylometry algorithm performed within the artificial intelligence curricular unit, taught by Professor Artur Marques, was used.

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    Authors: Acosta, Otavio Costa;

    A vasta utilização de Expressões Multipalavras em textos de linguagem natural requer atenção para um estudo aprofundado neste assunto, para que posteriormente seja possível a manipulação e o tratamento, de forma robusta, deste tipo de expressão. Uma Expressão Multipalavra costuma transmitir precisamente conceitos e ideias que geralmente não podem ser expressos por apenas uma palavra e estima-se que sua frequência, em um léxico de um falante nativo, seja semelhante à quantidade de palavras simples. A maioria das aplicações reais simplesmente ignora ou lista possíveis termos compostos, porém os identifica e trata seus itens lexicais individualmente e não como uma unidade de conceito. Para o sucesso de uma aplicação de Processamento de Linguagem Natural, que envolva processamento semântico, é necessário um tratamento diferenciado para essas expressões. Com o devido tratamento, é investigada a hipótese das Expressões Multipalavras possibilitarem uma melhora nos resultados de uma aplicação, tal como os sistemas de Recuperação de Informação. Os objetivos desse trabalho estão voltados ao estudo de técnicas de descoberta automática de Expressões Multipalavras, permitindo a criação de dicionários, para fins de indexação, em um mecanismo de Recuperação de Informação. Resultados experimentais apontaram melhorias na recuperação de documentos relevantes, ao identificar Expressões Multipalavras e tratá-las como uma unidade de indexação única. The use of Multiword Expressions (MWE) in natural language texts requires a detailed study, to further support in manipulating and processing, robustly, these kinds of expression. A MWE typically gives concepts and ideas that usually cannot be expressed by a single word and it is estimated that the number of MWEs in the lexicon of a native speaker is similar to the number of single words. Most real applications simply ignore them or create a list of compounds, treating and identifying them as isolated lexical items and not as an individual unit. For the success of a Natural Language Processing (NLP) application, involving semantic processing, adequate treatment for these expressions is required. In this work we investigate the hypothesis that an appropriate identification of Multiword Expressions provide better results in an application, such as Information Retrieval (IR). The objectives of this work are to compare techniques of MWE extraction for creating MWE dictionaries, to be used for indexing purposes in IR. Experimental results show qualitative improvements on the retrieval of relevant documents when identifying MWEs and treating them as a single indexing unit.

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  • image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
    Authors: Paula Viana; José Pedro Pinto;

    A Portuguese text corpus created from online newspapers with a total of 394,825,480 tokens and 33,089,734 sentences. If you use this repository, please cite this paper: Pinto JP, Viana P, Teixeira I, Andrade M. 2022. Improving word embeddings in Portuguese: increasing accuracy while reducing the size of the corpus. PeerJ Computer Science 8:e964 https://doi.org/10.7717/peerj-cs.964

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    ZENODO
    Dataset . 2022
    License: CC BY
    Data sources: ZENODO
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    Dataset . 2022
    License: CC BY
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      Dataset . 2022
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      ZENODO
      Dataset . 2022
      License: CC BY
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  • image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
    Authors: Leandro Oliveira da Silva; Daniel Mesquita Cunha; Raimundo Santos Moura;

    This paper is focused on developing an intelligent chat agent called chatbot to understand real conversations in a pharmacy context. The proposed methodology is characterized by the development of a chatbot to interact with customers as if it were a real attendant, based on three analyzes performed to process the question and return the most appropriate answer. Based on the architecture proposed in this work, experiments were performed to test the system's ability to answer users' questions. Survey results show that chatbot while having some limitations is a good customer service tool that can bring many benefits to businesses.

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    ZENODO
    Article . 2019
    License: CC BY
    Data sources: Datacite
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    Conference object . 2019
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      Article . 2019
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      Conference object . 2019
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  • image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
    Authors: Balsa, João;

    In this work I propose an architecture that can serve as a basis to natural language processing systems that, besides pursuing its language processing goals, are robust (in the sense that the nonrecognition of some input can be automatically overcome) and/or can evolve (in the sense that the recovery from detected faults may contribute to the update of system components, allowing for an improved performance in future analogous situations). This architecture is developed in a context where the main goal is to improve the quality of the entries of Portuguese lexicons. For instance, one of the goals is to improve the subcategorization information assigned to verbs. The fact that the techniques that are used fore this purpose need large amounts of real text (therefore, faulty text), and the fact that the tools used (part-of-speech taggers, for instance) also produce mistakes, motivates the need to consider the development of robust techniques for this process. The need to face different potential problems and to integrate tools of different nature motivated the definition of a distributed architecture allowing the integration of heterogeneous components. On one hand, this approach results in an improved system performance (due to parallelism) and, on the other hand, it allows for a greater design simplicity with respect to some system components. I propose, in first place, a hierarchical architecture for diagnosing problems in the analysis of sentences that were not fully parsed, and, in second place, an architecture, in which the previous one is included, that can be used with two different perspectives: one in which the focus is on the evolution of the system, and another in which the focus is on robustness.

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  • image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
    Authors: Abalada, Silvana; Cabarrão, Vera; Cardoso, Aida;

    We present a semantic taxonomy to classify nominal multiword lexical units (MLU) for European Portuguese. Despite being built by single words, MLU don’t have a compositional meaning and have morphosyntactic restrictions. These units are so important in any text that their identification and classification is essential for information extraction and retrieval in Natural Language Processing. We adapted and applied a semantic taxonomy, based on the Lancaster semantic lexicon (Piao et alii, 2005), to a list of MLU extracted from CETEMPúblico. The results of the annotation task validated our taxonomy, because we were able to classify 97,1% of the corpus.

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  • image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
    Authors: Balsa, João;

    Made available in DSpace on 2009-02-10T13:13:30Z (GMT). No. of bitstreams: 1 04-20.pdf: 1399935 bytes, checksum: 010c72341dd2bef58a12270eba45fafa (MD5) Previous issue date: 2004-12 Made available in DSpace on 2014-11-14T16:25:07Z (GMT). No. of bitstreams: 1 04-20.pdf: 1399935 bytes, checksum: 010c72341dd2bef58a12270eba45fafa (MD5) Previous issue date: 2004-12

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