Document-Based Question Answering Improves Query-Focused Multi-document Summarization.
Weikang LiXingxing ZhangYunfang WuFuru WeiMing ZhouPublished in: NLPCC (2) (2019)
Keyphrases
- question answering
- multi document summarization
- text summarization
- single document summarization
- natural language questions
- passage retrieval
- document set
- information retrieval
- cross document
- retrieval systems
- natural language processing
- information extraction
- query expansion
- user queries
- cross language
- information retrieval systems
- natural language
- relevance feedback
- query terms
- keywords
- semantic parsing
- query processing
- question answering systems
- named entity recognition
- named entities
- relation extraction
- sentence level
- relevance scores
- machine learning
- vector space
- web documents
- query specific
- related documents
- relevance model
- probabilistic model
- document representation
- relevant documents
- vector space model