English
 
Help Privacy Policy Disclaimer
  Advanced SearchBrowse

Item

ITEM ACTIONSEXPORT
 
 
DownloadE-Mail
 DetailsSummary
  Look before you Hop: Conversational Question Answering over Knowledge Graphs Using Judicious Context Expansion

Christmann, P., Saha Roy, R., Abujabal, A., Singh, J., & Weikum, G. (2019). Look before you Hop: Conversational Question Answering over Knowledge Graphs Using Judicious Context Expansion. In W. Zhu, & D. Tao (Eds.), CIKM '19 (pp. 729-738). New York, NY: ACM. doi:10.1145/3357384.3358016.

Item is

 

show all hide all

Basic

show hide
Item Permalink: https://hdl.handle.net/21.11116/0000-0005-8231-0 Version Permalink: https://hdl.handle.net/21.11116/0000-0008-3ABA-6
Genre: Conference Paper
Latex : Look before you Hop: {C}onversational Question Answering over Knowledge Graphs Using Judicious Context Expansion

Files

show Files

Locators

show

Creators

show
hide
 Creators:
Christmann, Phlipp1, Author           
Saha Roy, Rishiraj1, Author           
Abujabal, Abdalghani1, Author           
Singh, Jyotsna1, Author           
Weikum, Gerhard1, Author           
Affiliations:
1Databases and Information Systems, MPI for Informatics, Max Planck Society, ou_24018              

Content

show

Details

show
hide
Language(s): eng - English
 Dates: 20192019
 Publication Status: Issued
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Type: -
 Identifiers: DOI: 10.1145/3357384.3358016
BibTex Citekey: Christmann_CIKM2019
 Degree: -

Event

show
hide
Title: 28th ACM International Conference on Information and Knowledge Management
Place of Event: Beijing China
Start-/End Date: 2019-11-03 - 2019-11-07

Legal Case

show

Project information

show

Source 1

show
hide
Title: CIKM '19
  Subtitle : Proceedings of the 28th ACM International Conference on Information & Knowledge Management
  Abbreviation : CIKM 2019
Source Genre: Proceedings
 Creator(s):
Zhu, Wenwu1, Editor
Tao, Dacheng1, Editor
Affiliations:
1 External Organizations, ou_persistent22            
Publ. Info: New York, NY : ACM
Pages: - Volume / Issue: - Sequence Number: - Start / End Page: 729 - 738 Identifier: ISBN: 9781450369763