Titlebook: Computational Processing of the Portuguese Language; 15th International C Vládia Pinheiro,Pablo Gamallo,Hugo Pinto Conference proceedings 2

意外的成功

FICE

同義聯(lián)想法

Vera Schmitt,Elisabeth Fr?hlich information to, for instance, check whether any product was bought or sold by a business without issuing an invoice. The results were evaluated according to precision, recall, and f-score. The proposed approach can correctly detect more than 90% of cases of each type of information, showing its feasibility to process invoice data.

Indelible

https://doi.org/10.1007/978-3-658-38350-3also present an automatic process for the corpus creation, which allows keeping it constantly updated. To validate our results and methodology, we performed a news classification experiment using the LSTM model, and we achieved great results, with a precision of 97% on classifying fake news and 92% on classifying real news.

Harbor

掙扎

織布機(jī)

Fakepedia Corpus: A Flexible Fake News Corpus in Portuguesealso present an automatic process for the corpus creation, which allows keeping it constantly updated. To validate our results and methodology, we performed a news classification experiment using the LSTM model, and we achieved great results, with a precision of 97% on classifying fake news and 92% on classifying real news.

進(jìn)入

CRPC-DB a Discourse Bank for Portugueseannotator agreement was performed and holds results of 0.88 F1-score for discourse relation identification, 0.71 Cohen’s K for the classification of discourse relation types, and 0,75 for top-level sense classification. The CRPC-DB will be distributed free of charge through the PORTULAN CLARIN infrastructure.

nonchalance

cumulative

Standortplanung in der Katastrophenlogistikactors in long-distance dependencies. Moreover, the different behavior of monolingual models trained with the same corpora reinforces the need for a deep exploration of the network architectures and their learning process.