2 Search Results for "Reis, Sónia"


Document
Automatic Classification of Portuguese Proverbs

Authors: Jorge Baptista and Sónia Reis

Published in: OASIcs, Volume 104, 11th Symposium on Languages, Applications and Technologies (SLATE 2022)


Abstract
In this paper, natural language processing (NLP) and machine learning methods and tools are applied to the task of topic (thematic or semantic) classification of Portuguese proverbs. This is a difficult task since proverbs are usually very short sentences. Such classification should allow an easier selection of the most relevant proverbs for a given situation, considering their context in discourse or within a text. For that, we used, on the one hand, a collection of +32,000 proverbial expressions organized "thematically" into a large set of previously attributed topics (+2,200) and, on the other hand, the Orange data mining toolkit, along with the NLP and machine learning tools it provides. Since the classification provided in the collection of proverbs is, for the most part, based only on a keyword in the body of the proverbs, 2 experiments were set up, to determine the feasibility of the task with a modicum of effort and the most promising configurations applicable. Different sample sizes, 100 and 50 proverbs randomly selected per topic, corresponding to Scenario 1 and 2, respectively, were contrasted; several preprocessing strategies were explored, and different data representation methods tested against several learning algorithms. Results show that Neural Networks is the best performing model, achieving the best classification accuracy of 70% and 61%, in the two different experimental scenarios, Scenario 1 and 2, respectively. Some of the inaccurate classification cases seem to indicate that the machine learning approach can sometimes do a better job than a human classifier, especially considering the manual attribution of the topics by the collection’s author, the sheer number of topics involved, and the very unbalanced distribution of proverbs per topic. Based on the results achieved, the paper presents some proposals for future work to cope with such difficulties.

Cite as

Jorge Baptista and Sónia Reis. Automatic Classification of Portuguese Proverbs. In 11th Symposium on Languages, Applications and Technologies (SLATE 2022). Open Access Series in Informatics (OASIcs), Volume 104, pp. 2:1-2:8, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2022)


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@InProceedings{baptista_et_al:OASIcs.SLATE.2022.2,
  author =	{Baptista, Jorge and Reis, S\'{o}nia},
  title =	{{Automatic Classification of Portuguese Proverbs}},
  booktitle =	{11th Symposium on Languages, Applications and Technologies (SLATE 2022)},
  pages =	{2:1--2:8},
  series =	{Open Access Series in Informatics (OASIcs)},
  ISBN =	{978-3-95977-245-7},
  ISSN =	{2190-6807},
  year =	{2022},
  volume =	{104},
  editor =	{Cordeiro, Jo\~{a}o and Pereira, Maria Jo\~{a}o and Rodrigues, Nuno F. and Pais, Sebasti\~{a}o},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops-dev.dagstuhl.de/entities/document/10.4230/OASIcs.SLATE.2022.2},
  URN =		{urn:nbn:de:0030-drops-167480},
  doi =		{10.4230/OASIcs.SLATE.2022.2},
  annote =	{Keywords: Portuguese Proverbs, Automatic Topic Classification, Machine Learning}
}
Document
Syntactic Transformations in Rule-Based Parsing of Support Verb Constructions: Examples from European Portuguese

Authors: Jorge Baptista and Nuno Mamede

Published in: OASIcs, Volume 83, 9th Symposium on Languages, Applications and Technologies (SLATE 2020)


Abstract
This paper reports on-going work on building a rule-based grammar for (European) Portuguese, incorporating support verb constructions (SVC). The paper focuses on parsing sentences resulting from syntactic transformations of SVC, and presents a methodology to automatically generate testing examples directly from the SVC Lexicon-Grammar matrix where their linguistic properties are represented. These examples allow both to improve the linguistic description of these constructions and to test intrinsically the system parser, spotting unforeseen issues due to previous natural language processing steps.

Cite as

Jorge Baptista and Nuno Mamede. Syntactic Transformations in Rule-Based Parsing of Support Verb Constructions: Examples from European Portuguese. In 9th Symposium on Languages, Applications and Technologies (SLATE 2020). Open Access Series in Informatics (OASIcs), Volume 83, pp. 11:1-11:14, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2020)


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@InProceedings{baptista_et_al:OASIcs.SLATE.2020.11,
  author =	{Baptista, Jorge and Mamede, Nuno},
  title =	{{Syntactic Transformations in Rule-Based Parsing of Support Verb Constructions: Examples from European Portuguese}},
  booktitle =	{9th Symposium on Languages, Applications and Technologies (SLATE 2020)},
  pages =	{11:1--11:14},
  series =	{Open Access Series in Informatics (OASIcs)},
  ISBN =	{978-3-95977-165-8},
  ISSN =	{2190-6807},
  year =	{2020},
  volume =	{83},
  editor =	{Sim\~{o}es, Alberto and Henriques, Pedro Rangel and Queir\'{o}s, Ricardo},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops-dev.dagstuhl.de/entities/document/10.4230/OASIcs.SLATE.2020.11},
  URN =		{urn:nbn:de:0030-drops-130245},
  doi =		{10.4230/OASIcs.SLATE.2020.11},
  annote =	{Keywords: Support verb constructions, Rule-based parsing, syntactic transformations, language resources, European Portuguese}
}
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