Get our free extension to see links to code for papers anywhere online!

 Add to Chrome

 Add to Firefox

CatalyzeX Code Finder - Browser extension linking code for ML papers across the web! | Product Hunt Embed
A Survey on Computational Propaganda Detection

Jul 15, 2020
Giovanni Da San Martino, Stefano Cresci, Alberto Barron-Cedeno, Seunghak Yu, Roberto Di Pietro, Preslav Nakov

* IJCAI-2020 
* propaganda detection, disinformation, misinformation, fake news, media bias 

  Access Model/Code and Paper
Prta: A System to Support the Analysis of Propaganda Techniques in the News

May 12, 2020
Giovanni Da San Martino, Shaden Shaar, Yifan Zhang, Seunghak Yu, Alberto Barr贸n-Cede帽o, Preslav Nakov

* ACL-2020 
* propaganda, disinformation, fake news, media bias, COVID-19 

  Access Model/Code and Paper
Experiments in Detecting Persuasion Techniques in the News

Nov 15, 2019
Seunghak Yu, Giovanni Da San Martino, Preslav Nakov

* NeurIPS-2019 workshop on AI for Social Good 
* arXiv admin note: substantial text overlap with arXiv:1910.02517 

  Access Model/Code and Paper
Fine-Grained Analysis of Propaganda in News Articles

Oct 06, 2019
Giovanni Da San Martino, Seunghak Yu, Alberto Barr贸n-Cede帽o, Rostislav Petrov, Preslav Nakov

* EMNLP-2019 

  Access Model/Code and Paper
Ensemble-Based Deep Reinforcement Learning for Chatbots

Aug 27, 2019
Heriberto Cuay谩huitl, Donghyeon Lee, Seonghan Ryu, Yongjin Cho, Sungja Choi, Satish Indurthi, Seunghak Yu, Hyungtak Choi, Inchul Hwang, Jihie Kim

* arXiv admin note: text overlap with arXiv:1908.10331 

  Access Model/Code and Paper
Factor Graph Attention

Apr 11, 2019
Idan Schwartz, Seunghak Yu, Tamir Hazan, Alexander Schwing

* Accepted to CVPR 2019 

  Access Model/Code and Paper
Syllable-level Neural Language Model for Agglutinative Language

Aug 18, 2017
Seunghak Yu, Nilesh Kulkarni, Haejun Lee, Jihie Kim

* Accepted at EMNLP 2017 workshop on Subword and Character level models in NLP (SCLeM) 

  Access Model/Code and Paper
An Embedded Deep Learning based Word Prediction

Jul 06, 2017
Seunghak Yu, Nilesh Kulkarni, Haejun Lee, Jihie Kim

* 5 pages, 3 figures, EMNLP 2017 submitted 

  Access Model/Code and Paper
Deep Reinforcement Learning for Multi-Domain Dialogue Systems

Nov 26, 2016
Heriberto Cuay谩huitl, Seunghak Yu, Ashley Williamson, Jacob Carse

* NIPS Workshop on Deep Reinforcement Learning, 2016 

  Access Model/Code and Paper