# Academic Abstract Processing

A text classification model fine-tuned based on distilbert-base-uncased for topic abstract classification tasks

MaterialsBERT is a natural language processing model fine-tuned on data from the materials science domain, and it performs excellently in tasks related to materials science.

A fine-tuned T5-small model for keyphrase generation, specifically designed for scientific paper abstracts, capable of extracting both present and absent keyphrases.

A text classification model based on BatterySciBERT-uncased, specifically designed for classifying battery-related paper abstracts.