Skip to Main Content Area
  • CPS-VO
    • Contact Support
  • Browse
    • Calendar
    • Announcements
    • Repositories
    • Groups
  • Search
    • Search for Content
    • Search for a Group
    • Search for People
    • Search for a Project
    • Tagcloud
      
 
Not a member?
Click here to register!
Forgot username or password?
 
Home
National Science Foundation

Cyber-Physical Systems Virtual Organization

Read-only archive of site from September 29, 2023.

CPS-VO

large-scale English cQA data sets

biblio

Visible to the public Modeling and Learning Distributed Word Representation with Metadata for Question Retrieval

Submitted by grigby1 on Tue, 12/12/2017 - 1:19pm
  • question answering (information retrieval)
  • learning (artificial intelligence)
  • lexical gap problem
  • MB-NET
  • meta data
  • metadata
  • Metadata Discovery Problem
  • natural language processing
  • performance improvements
  • pubcrawl
  • large-scale English cQA data sets
  • question retrieval
  • Resiliency
  • Scalability
  • Semantics
  • text analysis
  • Text Mining
  • Vectors
  • Web
  • word processing
  • distributed word representation learning
  • basic category powered model
  • category information metadata
  • category powered models
  • community question answering
  • Compositionality
  • Computational modeling
  • Context modeling
  • cQA archives
  • distributed processing
  • Aggregates
  • distributed word representation modeling
  • fisher kernel
  • fixed-length vectors
  • information retrieval
  • internet
  • Kernel
  • Knowledge Discovery
  • large-scale automatic evaluation experiments
  • large-scale Chinese cQA data sets

Terms of Use  |  ©2023. CPS-VO