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

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樓主: malcontented
21#
發(fā)表于 2025-3-25 04:58:37 | 只看該作者
22#
發(fā)表于 2025-3-25 10:59:23 | 只看該作者
23#
發(fā)表于 2025-3-25 14:02:50 | 只看該作者
A Targeted Assessment of the Syntactic Abilities of Transformer Models for Galician-Portugueseactors 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.
24#
發(fā)表于 2025-3-25 15:48:06 | 只看該作者
25#
發(fā)表于 2025-3-25 23:39:25 | 只看該作者
26#
發(fā)表于 2025-3-26 00:58:00 | 只看該作者
27#
發(fā)表于 2025-3-26 06:23:29 | 只看該作者
FakeRecogna: A New Brazilian Corpus for Fake News Detectionperform a toy evaluation over the created dataset using traditional classifiers such as Naive Bayes, Optimum-Path Forest, and Support Vector Machines. A Convolutional Neural Network is also evaluated in the context of fake news detection in the proposed dataset.
28#
發(fā)表于 2025-3-26 11:47:39 | 只看該作者
SS-PT: A Stance and Sentiment Data Set from Portuguese Quoted Tweetsneutral, sarcasm or inconclusive. Our annotators yield strong inter-annotator agreement. In addition, we test a baseline model using a pre-trained BERT model for Portuguese. Results suggest that our data set is in line with its counterparts in other languages.
29#
發(fā)表于 2025-3-26 12:38:09 | 只看該作者
30#
發(fā)表于 2025-3-26 18:43:36 | 只看該作者
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