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Titlebook: Computational Processing of the Portuguese Language; 13th International C Aline Villavicencio,Viviane Moreira,Gustavo Henriq Conference pro

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书目名称Computational Processing of the Portuguese Language
副标题13th International C
编辑Aline Villavicencio,Viviane Moreira,Gustavo Henriq
视频video
丛书名称Lecture Notes in Computer Science
图书封面Titlebook: Computational Processing of the Portuguese Language; 13th International C Aline Villavicencio,Viviane Moreira,Gustavo Henriq Conference pro
描述.This book constitutes the refereed proceedings of the 13th International Conference on Computational Processing of the Portuguese Language, PROPOR 2018, held in Canela, RS, Brazil, in September 2018..The 42 full papers, 3 short papers and 4 other papers presented in this volume were carefully reviewed and selected from 92 submissions. The papers are organized in topical sections named: Corpus Linguistics, Information Extraction, Language.Applications, Language Resources, Sentiment Analysis and Opinion Mining, Speech Processing, and Syntax and Parsing..
出版日期Conference proceedings 2018
关键词Artificial Intelligence; Natural Language Processing; Language Resources; Corpus Linguistics; Speech Rec
版次1
doihttps://doi.org/10.1007/978-3-319-99722-3
isbn_softcover978-3-319-99721-6
isbn_ebook978-3-319-99722-3Series ISSN 0302-9743 Series E-ISSN 1611-3349
issn_series 0302-9743
copyrightSpringer Nature Switzerland AG 2018
The information of publication is updating

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Task-Oriented Evaluation of Dependency Parsing with Open Information Extractionction task, namely Open Information Extraction (OIE), and measure the impact of each parser in this task. The experiments show that the scores obtained by the evaluated parsers are quite similar even though they allow to extract different (and then complementary) itens of information.
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Lecture Notes in Computer Sciencehttp://image.papertrans.cn/c/image/232915.jpg
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https://doi.org/10.1007/978-3-319-99722-3Artificial Intelligence; Natural Language Processing; Language Resources; Corpus Linguistics; Speech Rec
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Modelling of Special Production Conditionsr that, we defined a set of rhetorical categories that aim at modeling the structure of opinion articles produced in this specific context and used it to manually annotate a corpus. Results of the annotation experiment showed substantial agreement among the annotators and disagreements were settled
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Sales in a Make-to-Order Environments for studying them. Corpora annotated with VMWEs in several languages, including Brazilian Portuguese, were made freely available in the PARSEME shared task. The goal of this paper is to describe and analyze this corpus in terms of the characteristics of annotated VMWEs in Brazilian Portuguese. Fir
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Supply Chain Management Projects with APOnvolved. Several other Natural Language Processing tasks may benefit from it, such as named entities recognition, relation extraction between named entities, summarization, sentiment analysis, among others. We propose a process for nominal coreference resolution in Portuguese, based on syntactic-sem
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