Investigating public attitudes on social media is important in opinion mining systems. Stance
detection aims to analyze the attitude of an opinionated text (eg, favor, neutral, or against) …

Cross-target stance detection (CTSD) is an important task, which infers the attitude of the
destination target by utilizing annotated data derived from the source target. One important …

Few-shot continual learning (FSCL) is a challenging setting as it requires models to learn
new knowledge with a few examples over time, and fast adapt to new tasks without …

Zero-shot text classification does not require large amounts of labeled data and is designed
to handle text classification tasks that lack annotated training data. Existing zero-shot text …

Pedestrian attribute recognition (PAR) aims to predict the attributes of a target pedestrian.
Recent methods often address the PAR problem by training a multi-label classifier with …

Zero-shot text classification aims to handle the text classification task without any annotated
training data, which can greatly alleviate the data scarcity problem. Current dominant …

Investigating public attitudes on social media is crucial for opinion mining systems. Stance
detection aims to predict the attitude towards a specific target expressed in a text. However …

The goal of relationship classification (RC) is to predict the semantic relationship between
two entities in a given sentence. With the advent of deep learning and pretrained language …

In this work, we curate and investigate a dataset named Turkish Software Report-Module
Classification (TSRMC), consisting of commercial software bug reports of a company …

Enhanced with machine learning, language understanding enables computers to not only
comprehend but also learn from human language, thereby augmenting the capabilities of …