RJUA-MedDQA: A Multimodal Benchmark for Medical Document Question Answering and Clinical Reasoning.
Congyun JinMing ZhangWeixiao MaYujiao LiYingbo WangYabo JiaYuliang DuTao SunHaowen WangCong FanJinjie GuChenfei ChiXiangguo LvFangzhou LiWei XueYiran HuangPublished in: KDD (2024)
Keyphrases
- question answering
- passage retrieval
- information retrieval
- text summarization
- candidate answers
- answering questions
- qa clef
- information extraction
- audio visual
- natural language processing
- document collections
- natural language
- cross language
- question classification
- information retrieval systems
- retrieval systems
- question answering systems
- web documents
- named entities
- text documents
- document retrieval
- document clustering
- syntactic information
- multi modal
- keywords
- knowledge base
- quantitative evaluation
- natural language questions
- relevant documents
- language model
- tf idf
- vector space model
- machine translation
- knowledge representation
- search engine
- sentence retrieval
- machine learning
- data mining