Abstract:
"In my research, I aimed to improve the accuracy of question-answering models specifically
on compound sentences. Existing question-answering models tend to perform well on simple
questions that require short answers, but struggle with more complex questions that involve
compound sentences. Compound sentences can be difficult to parse and understand, leading
to inaccurate answers.
To solve this problem, I used a pre-trained question-answering model from the Hugging Face
library, specifically the Bert-base-squad2 model. I fine-tuned this model on a dataset of squad
v2 dataset that involved compound sentences. Fine-tuning involved updating the model's
parameters on the new dataset to make it more accurate in answering questions that involved
compound sentences."
