DrQA
DrQA is an open-source natural language processing system developed by researchers at Facebook AI Research (FAIR). Designed to facilitate machine reading comprehension, DrQA is capable of answering questions based on a large corpus of unstructured text. The system integrates several modules, including a document retriever and a document reader, to process and extract relevant information efficiently.
The document retriever component employs information retrieval techniques, such as TF-IDF and bigram-based models, to identify
DrQA was introduced in 2017 by FAIREX as part of efforts to advance machine reading comprehension and
The system is notable for its modular design, allowing researchers to adapt or improve individual components
DrQA's development has contributed to the broader field of artificial intelligence by providing a foundational framework