Abstract: In the question-answering system, users frequently express multiple intents within a single utterance. The majority of intent recognition models tend to either primarily address ...

Model2Vec is a technique to turn any sentence transformer into a really small static model, reducing model size by a factor up to 50 and making the models up to 500 times faster, with a small drop in ...

Abstract: This paper introduces a novel topic modeling framework that integrates graph-based representations with BERT embeddings to enhance semantic understanding and structural analysis of document ...