5 papers
AEDA: An Easier Data Augmentation Technique for Text Classification
Akbar Karimi, Leonardo Rossi, Andrea Prati
This paper proposes AEDA (An Easier Data Augmentation) technique to help improve the performance on text classification tasks. AEDA includes only random insertion of punctuation ma…
UniParma at SemEval-2021 Task 5: Toxic Spans Detection Using CharacterBERT and Bag-of-Words Model
Akbar Karimi, Leonardo Rossi, Andrea Prati
With the ever-increasing availability of digital information, toxic content is also on the rise. Therefore, the detection of this type of language is of paramount importance. We ta…
Improving BERT Performance for Aspect-Based Sentiment Analysis
Akbar Karimi, Leonardo Rossi, Andrea Prati
Aspect-Based Sentiment Analysis (ABSA) studies the consumer opinion on the market products. It involves examining the type of sentiments as well as sentiment targets expressed in p…
Deep Multimodal Image-Text Embeddings for Automatic Cross-Media Retrieval
Hadi Abdi Khojasteh, Ebrahim Ansari, Parvin Razzaghi +1
This paper considers the task of matching images and sentences by learning a visual-textual embedding space for cross-modal retrieval. Finding such a space is a challenging task si…
Adversarial Training for Aspect-Based Sentiment Analysis with BERT
Akbar Karimi, Leonardo Rossi, Andrea Prati
Aspect-Based Sentiment Analysis (ABSA) deals with the extraction of sentiments and their targets. Collecting labeled data for this task in order to help neural networks generalize…