Sentiment analysis as a field has come a long way since it was first introduced as a task
nearly 20 years ago. It has widespread commercial applications in various domains like …

Contextualized pre-trained models, such as BERT [1] and BART [2], have shown great
potential in various NLP tasks, pushing the state-of-the-art results to a new level. Although …

The rapid development of science and technology has been accompanied by an
exponential growth in peer-reviewed scientific publications. At the same time, the review of …

Unveiling consumer preferences in online reviews is receiving increasing attention. While
most existing approaches for consumer preferences have achieved significant …

Background Comprehensive session summaries enable effective continuity in mental health
counseling, facilitating informed therapy planning. However, manual summarization …

Aspect-based summarization is the task of generating focused summaries based on specific
points of interest. Such summaries aid efficient analysis of text, such as quickly …

Generic summaries try to cover an entire document and query-based summaries try to
answer document-specific questions. But real users' needs often fall in between these …

Neural-based summarization models suffer from the length limitation of text encoder. Long
documents have to been truncated before they are sent to the model, which results in huge …

Scientific innovation relies on detailed workflows, which include critical steps such as
analyzing literature, generating ideas, validating these ideas, interpreting results, and …