Siva Prasad Patnayakuni

Enhancing Extractive Question Answering with A CNN-BERT Hybrid Model: Benchmark and Domain-Specific Evaluation

Extractive question answering (QA) aims to locate precise answer spans within a text passage for a given question, which is crucial for applications such as virtual assistants, information retrieval, and domain-specific tools. Transformer-based models like BERT have achieved high accuracy on benchmark datasets, yet the...