SADHAN: Hierarchical Attention Networks to Learn Latent Aspect Embeddings for Fake News Detection.

Rahul Mishra|Vinay Setty


Anthology ID:DBLP:conf/ictir/MishraS19
Volume:Proceedings of the 2019 ACM SIGIR International Conference on Theory of Information Retrieval, ICTIR 2019, Santa Clara, CA, USA, October 2-5, 2019.
Year:2019
Venue:International Conference on the Theory of Information Retrieval (ICTIR)
Publisher:ACM
Pages:197-204
URL:https://doi.org/10.1145/3341981.3344229
DOI:https://doi.org/10.1145/3341981.3344229
DBLP:conf/ictir/MishraS19
BibTeX:
@inproceedings{mishra-2019-sadhan, author = {Rahul Mishra and Vinay Setty}, editor = {Yi Fang and Yi Zhang and James Allan and Krisztian Balog and Ben Carterette and Jiafeng Guo}, title = {{SADHAN: Hierarchical Attention Networks to Learn Latent Aspect Embeddings for Fake News Detection}}, booktitle = {{Proceedings of the 2019 ACM SIGIR International Conference on Theory of Information Retrieval, ICTIR 2019, Santa Clara, CA, USA, October 2-5, 2019}}, pages = {197--204}, publisher = {ACM}, year = {2019}, url = {https://doi.org/10.1145/3341981.3344229}, doi = {https://doi.org/10.1145/3341981.3344229} }