Titlebook: Computational Processing of the Portuguese Language; 11th International C Jorge Baptista,Nuno Mamede,Maria das Gra?as Volpe Conference pro

Immunization

Semantic Textual Similarity of Portuguese-Language Texts: An Approach Based on the Semantic Inferentortuguese-language processing application - a Case-Based Reasoning system for Requirements Engineering - provided real scenario to assess how the proposed STS measure contributes to the effectiveness of NLP applications.

Limousine

0302-9743 yntax and parsing; ontologies, semantics and lexicography; corpora and language resources and natural language processing, tools and applications.978-3-319-09760-2978-3-319-09761-9Series ISSN 0302-9743 Series E-ISSN 1611-3349

fidelity

Conference proceedings 2014m 63 submissions. The papers are organized in topical sections named: speech language processing and applications; linguistic description, syntax and parsing; ontologies, semantics and lexicography; corpora and language resources and natural language processing, tools and applications.

溺愛

FIN

Springer Texts in Business and Economicsmessages had profanity, thus we annotated 726 swear words, 510 of which were obfuscated by the authors. We also identified the most frequent profanities, and what methods, and combination of methods, people used to disguise their cursing.

貪婪地吃

medium

https://doi.org/10.1007/978-3-8349-9898-9of each pair. We compared the correlation with similar datasets in other languages and generated LSA models from Wikipedia articles in order to verify the pertinence of each dataset and how semantic similarity conveys across languages.

冥界三河

https://doi.org/10.1007/978-3-8349-9898-9ortuguese-language processing application - a Case-Based Reasoning system for Requirements Engineering - provided real scenario to assess how the proposed STS measure contributes to the effectiveness of NLP applications.

無聊點(diǎn)好

Computational Processing of the Portuguese Language978-3-319-09761-9Series ISSN 0302-9743 Series E-ISSN 1611-3349

蜿蜒而流

https://doi.org/10.1007/978-3-8349-9898-9s, for Portuguese, these resources have been used in varied natural language processing tasks. We enumerate those, and then introduce a larger resource of this kind together with two additional tasks where it was useful.