English
 
Help Privacy Policy Disclaimer
  Advanced SearchBrowse

Item

ITEM ACTIONSEXPORT
Add to Basket
  Local TagsRelease HistoryDetailsSummary

Released
Conference Paper

STANCY: Stance Classification Based on Consistency Cues

MPS-Authors
/persons/resource/persons185337

Popat,  Kashyap
Databases and Information Systems, MPI for Informatics, Max Planck Society;

/persons/resource/persons123384

Mukherjee,  Subhabrata
Databases and Information Systems, MPI for Informatics, Max Planck Society;

/persons/resource/persons206666

Yates,  Andrew
Databases and Information Systems, MPI for Informatics, Max Planck Society;

/persons/resource/persons45720

Weikum,  Gerhard
Databases and Information Systems, MPI for Informatics, Max Planck Society;

External Resource
No external resources are shared
Fulltext (restricted access)
There are currently no full texts shared for your IP range.
Fulltext (public)

D19-1675.pdf
(Publisher version), 442KB

Supplementary Material (public)
There is no public supplementary material available
Citation

Popat, K., Mukherjee, S., Yates, A., & Weikum, G. (2019). STANCY: Stance Classification Based on Consistency Cues. In K. Inui, J. JIng, V. Ng, & X. Wan (Eds.), 2019 Conference on Empirical Methods in Natural Language Processing and 9th International Joint Conference on Natural Language Processing (pp. 6412-6417). Stroudsburg, PA: ACL. doi:10.18653/v1/D19-1675.


Cite as: https://hdl.handle.net/21.11116/0000-0005-827A-F
Abstract
There is no abstract available