Summarizing Chinese Medical Answer with Graph Convolution Networks and Question-focused Dual Attention.
Ningyu ZhangShumin DengJuan LiXi ChenWei ZhangHuajun ChenPublished in: EMNLP (Findings) (2020)
Keyphrases
- question classification
- correct answers
- question answering systems
- answering questions
- average degree
- medical data
- edge weights
- graph theory
- overlapping communities
- network structure
- natural language questions
- answer questions
- small world
- frequently asked
- social networks
- social graphs
- directed edges
- graph representation
- text summarization
- structured data
- connected components
- image processing
- community question answering
- network analysis
- weighted graph
- graph structure
- bipartite graph
- random walk
- directed graph
- network size
- natural language
- information extraction
- natural language processing
- medical images
- question answer
- answer extraction
- graph model
- fully connected
- graph structures
- visual attention
- random graphs
- directed acyclic graph
- spanning tree
- graph databases