Search Results for author: Konstantinos Perifanos

Found 6 papers, 1 papers with code

The use of the word "\{gamma}\u{psion}ναι\k{appa}ο\k{appa}τονια" (femicide) in Greek-speaking Twitter

no code implementations21 Oct 2022 Aglaia Aggistrioti, Efstathia Bambili, Nikoleta Gkatzoli, Athina Kontostavlaki, Ioanna Tsounidi, Konstantinos Perifanos

Between 2019 and 2022, Greek media attention has been attracted by a rather unusually high number of femicide cases which have been trending for several weeks up to months in the public debate and one of the contributing factors is the feedback loop between traditional media and social media.

Position Stance Detection

Codec at SemEval-2022 Task 5: Multi-Modal Multi-Transformer Misogynous Meme Classification Framework

1 code implementation SemEval (NAACL) 2022 Ahmed Mahran, Carlo Alessandro Borella, Konstantinos Perifanos

In this paper we describe our work towards building a generic framework for both multi-modal embedding and multi-label binary classification tasks, while participating in task 5 (Multimedia Automatic Misogyny Identification) of SemEval 2022 competition.

Binary Classification Meme Classification +1

Transformer Ensembles for Sexism Detection

no code implementations29 Oct 2021 Lily Davies, Marta Baldracchi, Carlo Alessandro Borella, Konstantinos Perifanos

This document presents in detail the work done for the sexism detection task at EXIST2021 workshop.

Binary Classification

Deep Learning based, end-to-end metaphor detection in Greek language with Recurrent and Convolutional Neural Networks

no code implementations23 Jul 2020 Konstantinos Perifanos, Eirini Florou, Dionysis Goutsos

We combine Convolutional Neural Networks and Recurrent Neural Networks with representation learning to bear on the metaphor detection problem for the Greek language.

Feature Engineering Representation Learning

Word embeddings for idiolect identification

no code implementations10 Feb 2019 Konstantinos Perifanos, Eirini Florou, Dionysis Goutsos

The term idiolect refers to the unique and distinctive use of language of an individual and it is the theoretical foundation of Authorship Attribution.

Authorship Attribution Word Embeddings

Neural embeddings for metaphor detection in a corpus of Greek texts

no code implementations10 Feb 2019 Eirini Florou, Konstantinos Perifanos, Dionysis Goutsos

One of the major challenges that NLP faces is metaphor detection, especially by automatic means, a task that becomes even more difficult for languages lacking in linguistic resources and tools.

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