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

Chrome logo Add to Chrome

Firefox logo Add to Firefox

Picture for Seunghak Yu

Cooperative Learning of Zero-Shot Machine Reading Comprehension

Mar 22, 2021
Hongyin Luo, Shang-Wen Li, Seunghak Yu, James Glass

  Access Paper or Ask Questions

Constructing a Knowledge Graph from Unstructured Documents without External Alignment

Aug 20, 2020
Seunghak Yu, Tianxing He, James Glass

  Access Paper or Ask Questions

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 Paper or Ask Questions

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 Paper or Ask Questions

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 Paper or Ask Questions

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 Paper or Ask Questions

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 Paper or Ask Questions

Factor Graph Attention

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

* Accepted to CVPR 2019 

  Access Paper or Ask Questions

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 Paper or Ask Questions

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 Paper or Ask Questions

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 Paper or Ask Questions