Search results for " linguistic analysis"

showing 2 items of 2 documents

A Linguistic Insight into the Legislative Drafting of English-Speaking Jurisdictions

2020

Gender specificity in legislation started being questioned in the late 20th century, and the need to reform the way in which laws have been written for more than onehundred years has been particularly evident in English-language jurisdictions. In the 1990s and 2000s, the adoption of a plain English style forced legislative drafters to avoid sentences of undue length, superfluous definitions, repeated words and gender specificity with the aim of achieving clarity and minimizing ambiguity. Experts in the legal field have suggested reorganizing sentences, avoiding male pronouns, repeating the noun in place of the pronoun, replacing a nominalization with a verb form, resorting to ‘the singular …

Political scienceGender linguistic analysis singular they legislative draftingLegislatureSingular theySettore L-LIN/12 - Lingua E Traduzione - Lingua IngleseLinguisticsEuropean Journal of Law Reform
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Fake News Spreaders Detection: Sometimes Attention Is Not All You Need

2022

Guided by a corpus linguistics approach, in this article we present a comparative evaluation of State-of-the-Art (SotA) models, with a special focus on Transformers, to address the task of Fake News Spreaders (i.e., users that share Fake News) detection. First, we explore the reference multilingual dataset for the considered task, exploiting corpus linguistics techniques, such as chi-square test, keywords and Word Sketch. Second, we perform experiments on several models for Natural Language Processing. Third, we perform a comparative evaluation using the most recent Transformer-based models (RoBERTa, DistilBERT, BERT, XLNet, ELECTRA, Longformer) and other deep and non-deep SotA models (CNN,…

Settore ING-INF/05 - Sistemi Di Elaborazione Delle Informazionitext classificationcorpus linguisticSettore ING-INF/03 - Telecomunicazionifake newTwitterauthor profilingconvolutional neural networkdeep learningNatural Language Processing (NLP)user classificationfake news; misinformation; Natural Language Processing (NLP); transformers; Twitter; convolutional neural networks; text classification; deep learning; machine learning; user classification; author profiling; corpus linguistics; linguistic analysismachine learningtransformermisinformationlinguistic analysisInformation Systems
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