Port4NooJ v3.0: Integrated Linguistic Resources for Portuguese NLP

Cristina Mota, Paula Carvalho, Anabela Barreiro

Abstract
This paper introduces Port4NooJ v3.0, the latest version of the Portuguese module for NooJ, highlights its main features, and details its three main new components: (i) a lexicon-grammar based dictionary of 5,177 human intransitive adjectives, and a set of local grammars that use the distributional properties of those adjectives for paraphrasing (ii) a polarity dictionary with 9,031 entries for sentiment analysis, and (iii) a set of priority dictionaries and local grammars for named entity recognition. These new components were derived and/or adapted from publicly available resources. The Port4NooJ v3.0 resource is innovative in terms of the specificity of the linguistic knowledge it incorporates. The dictionary is bilingual Portuguese-English, and the semantico-syntactic information assigned to each entry validates the linguistic relation between the terms in both languages. These characteristics, which cannot be found in any other public resource for Portuguese, make it a valuable resource for translation and paraphrasing. The paper presents the current statistics and describes the different complementary and synergic components and integration efforts.
Anthology ID:
L16-1201
Volume:
Proceedings of the Tenth International Conference on Language Resources and Evaluation (LREC'16)
Month:
May
Year:
2016
Address:
Portorož, Slovenia
Venue:
LREC
SIG:
Publisher:
European Language Resources Association (ELRA)
Note:
Pages:
1264–1269
Language:
URL:
https://aclanthology.org/L16-1201
DOI:
Bibkey:
Cite (ACL):
Cristina Mota, Paula Carvalho, and Anabela Barreiro. 2016. Port4NooJ v3.0: Integrated Linguistic Resources for Portuguese NLP. In Proceedings of the Tenth International Conference on Language Resources and Evaluation (LREC'16), pages 1264–1269, Portorož, Slovenia. European Language Resources Association (ELRA).
Cite (Informal):
Port4NooJ v3.0: Integrated Linguistic Resources for Portuguese NLP (Mota et al., LREC 2016)
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https://preview.aclanthology.org/ingestion-script-update/L16-1201.pdf
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