33 citations · 37 across the 4 of their papers we have counts for
5 papers
Two-phase training mitigates class imbalance for camera trap image classification with CNNs
Farjad Malik, Simon Wouters, Ruben Cartuyvels +2
By leveraging deep learning to automatically classify camera trap images, ecologists can monitor biodiversity conservation efforts and the effects of climate change on ecosystems m…
LIIR at SemEval-2021 task 6: Detection of Persuasion Techniques In Texts and Images using CLIP features
Erfan Ghadery, Damien Sileo, Marie-Francine Moens
We describe our approach for SemEval-2021 task 6 on detection of persuasion techniques in multimodal content (memes). Our system combines pretrained multimodal models (CLIP) and ch…
LIIR at SemEval-2020 Task 12: A Cross-Lingual Augmentation Approach for Multilingual Offensive Language Identification
Erfan Ghadery, Marie-Francine Moens
This paper presents our system entitled `LIIR' for SemEval-2020 Task 12 on Multilingual Offensive Language Identification in Social Media (OffensEval 2). We have participated in su…
Aspect Category Detection via Topic-Attention Network
Sajad Movahedi, Erfan Ghadery, Heshaam Faili +1
The e-commerce has started a new trend in natural language processing through sentiment analysis of user-generated reviews. Different consumers have different concerns about variou…
An Unsupervised Approach for Aspect Category Detection Using Soft Cosine Similarity Measure
Erfan Ghadery, Sajad Movahedi, Heshaam Faili +1
Aspect category detection is one of the important and challenging subtasks of aspect-based sentiment analysis. Given a set of pre-defined categories, this task aims to detect categ…