QASA: Advanced Document Retriever for Open-Domain Question Answering by Learning to Rank Question-Aware Self-Attentive Document Representations.
Trang M. NguyenVan-Lien TranDuy-Cat CanQuang-Thuy HaLy T. VuEngsiong ChngPublished in: ICMLSC (2019)
Keyphrases
- learning to rank
- document representation
- open domain question answering
- document collections
- information retrieval
- question answering
- document retrieval
- vector space model
- document clustering
- language model
- evaluation measures
- bag of words
- ranking functions
- text documents
- test collection
- web documents
- loss function
- vector space
- answer extraction
- collaborative filtering
- retrieval systems
- semantic information
- information retrieval systems
- relevant documents
- retrieval model
- cross lingual
- text mining
- multimedia
- anchor text
- information extraction
- text classification
- image representation
- web search engines