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Found 10 papers, 4 papers with code
A Transformer-based approach to Irony and Sarcasm detection
Figurative Language (FL) seems ubiquitous in all social-media discussion forums and chats, posing extra challenges to sentiment analysis endeavors.
Graph-based Neural Architecture Search with Operation Embeddings
Neural Architecture Search (NAS) has recently gained increased attention, as a class of approaches that automatically searches in an input space of network architectures.
ParVecMF: A Paragraph Vector-based Matrix Factorization Recommender System
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.
Synergy of Machine and Deep Learning Models for Multi-Painter Recognition
The growing availability of digitized art collections has created the need to manage, analyze and categorize large amounts of data related to abstract concepts, highlighting a demanding problem of computer science and leading to new research perspectives.
NTUA-ISLab at SemEval-2019 Task 3: Determining emotions in contextual conversations with deep learning
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.
NTUA-ISLab at SemEval-2019 Task 9: Mining Suggestions in the wild
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.
Recognition of Static Features in Sign Language Using Key-Points
In this paper we report on a research effort focusing on recognition of static features of sign formation in single sign videos.
Class-Wise Principal Component Analysis for hyperspectral image feature extraction
This paper introduces the Class-wise Principal Component Analysis, a supervised feature extraction method for hyperspectral data.
NTUAAILS at SemEval-2020 Task 11: Propaganda Detection and Classification with biLSTMs and ELMo
This paper describes the NTUAAILS submission for SemEval 2020 Task 11 Detection of Propaganda Techniques in News Articles.
A Robust Deep Ensemble Classifier for Figurative Language Detection
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.
