Search Results for author: Georgios Siolas

Found 9 papers, 3 papers with code

A Robust Deep Ensemble Classifier for Figurative Language Detection

no code implementations9 Jul 2021 Rolandos Alexandros Potamias, Georgios Siolas, Andreas - Georgios Stafylopatis

Recognition and classification of Figurative Language (FL) is an open problem of Sentiment Analysis in the broader field of Natural Language Processing (NLP) due to the contradictory meaning contained in phrases with metaphorical content.

Sentiment Analysis

Graph-based Neural Architecture Search with Operation Embeddings

1 code implementation11 May 2021 Michail Chatzianastasis, George Dasoulas, Georgios Siolas, Michalis Vazirgiannis

Neural Architecture Search (NAS) has recently gained increased attention, as a class of approaches that automatically searches in an input space of network architectures.

Neural Architecture Search

Recognition of Static Features in Sign Language Using Key-Points

no code implementations LREC 2020 Ioannis Koulierakis, Georgios Siolas, Eleni Efthimiou, Evita Fotinea, Andreas-Georgios Stafylopatis

In this paper we report on a research effort focusing on recognition of static features of sign formation in single sign videos.


A Transformer-based approach to Irony and Sarcasm detection

1 code implementation23 Nov 2019 Rolandos Alexandros Potamias, Georgios Siolas, Andreas - Georgios Stafylopatis

Figurative Language (FL) seems ubiquitous in all social-media discussion forums and chats, posing extra challenges to sentiment analysis endeavors.

Sarcasm Detection Sentiment Analysis

NTUA-ISLab at SemEval-2019 Task 3: Determining emotions in contextual conversations with deep learning

no code implementations SEMEVAL 2019 Rol Potamias, os Alex, ros, Georgios Siolas

Sentiment analysis (SA) in texts is a well-studied Natural Language Processing task, which in nowadays gains popularity due to the explosion of social media, and the subsequent accumulation of huge amounts of related data.

Sentiment Analysis

NTUA-ISLab at SemEval-2019 Task 9: Mining Suggestions in the wild

no code implementations SEMEVAL 2019 Rol Potamias, os Alex, Alex Neofytou, ros, Georgios Siolas

As online customer forums and product comparison sites increase their societal influence, users are actively expressing their opinions and posting their recommendations on their fellow customers online.

Suggestion mining

ParVecMF: A Paragraph Vector-based Matrix Factorization Recommender System

2 code implementations22 Jun 2017 Georgios Alexandridis, Georgios Siolas, Andreas Stafylopatis

Neural language processing models, on the other hand, have already found application in recommender systems, mainly as a means of encoding user preference data, with the actual textual description of items serving only as side information.

Recommendation Systems

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