1 code implementation • 10 Jul 2023 • Zhun Yang, Joohyung Lee, Chiyoun Park
Injecting discrete logical constraints into neural network learning is one of the main challenges in neuro-symbolic AI.
no code implementations • 23 Jul 2020 • Kyungmin Lee, Chiyoun Park, Ilhwan Kim, Namhoon Kim, Jaewon Lee
Recurrent Neural Network Language Models (RNNLMs) have started to be used in various fields of speech recognition due to their outstanding performance.
no code implementations • 24 Apr 2019 • Jaedeok Kim, Chiyoun Park, Hyun-Joo Jung, Yoonsuck Choe
To tackle this problem we introduce a novel concept of a trainable gate function.
no code implementations • 30 Jan 2018 • Kyungmin Lee, Chiyoun Park, Namhoon Kim, Jaewon Lee
This paper presents methods to accelerate recurrent neural network based language models (RNNLMs) for online speech recognition systems.