Query-driven Generative Network for Document Information Extraction in the Wild.
Haoyu CaoXin LiJiefeng MaDeqiang JiangAntai GuoYiqing HuHao LiuYinsong LiuBo RenPublished in: ACM Multimedia (2022)
Keyphrases
- information extraction
- user queries
- retrieval systems
- information retrieval
- keywords
- query specific
- text documents
- data driven
- document ranking
- query terms
- web documents
- database
- information retrieval systems
- machine learning
- communication cost
- response time
- query expansion
- network structure
- unstructured peer to peer
- peer to peer
- query processing
- wireless sensor networks
- relevant documents
- relevance feedback
- document images
- text mining
- natural language processing
- free text
- result set
- conditional random fields
- web retrieval
- search engine
- data structure
- retrieval strategies
- multimedia documents
- inverted index
- data sources
- document set
- document collections
- precision and recall
- vector space
- query biased
- generative model