Social media is a modern person's digital voice to project and engage with new ideas and
mobilise communities—a power shared with extremists. Given the societal risks of unvetted …

Continual Learning aims to learn a single model on a sequence of tasks without having
access to data from previous tasks. The biggest challenge in the domain still remains …

Recent works have shown that unstructured text (documents) from online sources can serve
as useful auxiliary information for zero-shot image classification. However, these methods …

Question answering over knowledge graphs (KG-QA) is a vital topic in IR. Questions with
temporal intent are a special class of practical importance, but have not received much …

Recent advances in generative models for language have enabled the creation of
convincing synthetic text or deepfake text. Prior work has demonstrated the potential for …

Despite the tremendous progress in zero-shot learning (ZSL), the majority of existing
methods still rely on human-annotated attributes, which are difficult to annotate and scale …

Due to the COVID-19 pandemic, vaccine development and community vaccination studies
are carried out all over the world. At this stage, the opposition to the vaccine seen in the …

Human-annotated attributes serve as powerful semantic embeddings in zero-shot learning.
However, their annotation process is labor-intensive and needs expert supervision. Current …

This survey presents a comprehensive description of recent neural entity linking (EL)
systems developed since 2015 as a result of the “deep learning revolution” in natural …

Background In the context of large‐scale educational assessments, the effort required to
code open‐ended text responses is considerably more expensive and time‐consuming than …