Kong Joo Lee
2017
Automatic Text Summarization Using Reinforcement Learning with Embedding Features
Gyoung Ho Lee
|
Kong Joo Lee
Proceedings of the Eighth International Joint Conference on Natural Language Processing (Volume 2: Short Papers)
An automatic text summarization system can automatically generate a short and brief summary that contains a main concept of an original document. In this work, we explore the advantages of simple embedding features in Reinforcement leaning approach to automatic text summarization tasks. In addition, we propose a novel deep learning network for estimating Q-values used in Reinforcement learning. We evaluate our model by using ROUGE scores with DUC 2001, 2002, Wikipedia, ACL-ARC data. Evaluation results show that our model is competitive with the previous models.
2010
A Human-Computer Collaboration Approach to Improve Accuracy of an Automated English Scoring System
Jee Eun Kim
|
Kong Joo Lee
Proceedings of the NAACL HLT 2010 Fifth Workshop on Innovative Use of NLP for Building Educational Applications
1995
A Robust Parser Based on Syntactic Information
Kong Joo Lee
|
Cheol Jung Kweon
|
Jungyun Seo
|
Gil Chang Kim
Seventh Conference of the European Chapter of the Association for Computational Linguistics
Search