How StrikePlagiarism.com’s Explainable AI delivers transparent, interpretable AI detection — helping educators ...

Stage 1: Metaphoric cleansing. The AI identifies unconventional metaphors or visceral imagery as "noise" because they deviate ...

Google published a research paper about helping recommender systems understand what users mean when they interact with them. Their goal with this new approach is to overcome the limitations inherent ...

Researchers from MIT, Northeastern University, and Meta recently released a paper suggesting that large language models (LLMs) similar to those that power ChatGPT may sometimes prioritize sentence ...

Abstract: Mining sentiment from user-generated social media content is crucial for fields such as business decision-making and public opinion analysis. Aspect-based sentiment analysis (ABSA) aims to ...

ABSTRACT: This paper focuses on the role of classifiers in numeral phrases. Based on a generative syntactic framework, the study examines the functional projections involved in nominal structure. It ...

This proposal arose from a discussion with @jacobly0 on the flaws of the current bit-pointer syntax in the context of #22915. However, bit pointers have some problems. One is in the syntax; the syntax ...

I would like to know if anything is planned for semantic highlighting. It is a feature provided in basedpyright, pylance and even typescript language server that highlights based on the semantics, ...