Abstract: This paper proposes an automated question answering system based on improved Term Frequency- Inverse Document Frequency (TF-IDF) and cosine similarity. The main purpose of this research ...

Abstract: In recent years, optimizing classification pipelines has become increasingly critical due to the growing volume of textual data and the computational challenges associated with exhaustive ...

Tired of sifting through pages of irrelevant search results? What if you could find exactly what you’re looking for with just a few keystrokes? Enter AI embeddings—a fantastic option in the world of ...

The accuracy and efficiency of retrieval systems are critical in the significantly advancing field of data science. Sifting through data effectively becomes more dependent on advanced algorithms as it ...

If you've ever fallen into a rabbit hole of ASMR videos, you might wonder how the peculiar sensation comes about. Here's what we know. When you purchase through links on our site, we may earn an ...

The concept of Answer Semantic Similarity pertains to the assessment of the semantic resemblance between the generated answer and the ground truth. This evaluation is based on the ground truth and the ...

In a recent study out of Central South University in Changsha, China, scientists tested different cosine similarity algorithms to test for illegal adulterants in drugs. In a recent study out of ...