Aug 11, 2018 · Inspired by the success of CNN in text classification, in this research we proposed a hybrid RNN-CNN encoder (RCNN) to represent the query. In ...

This work presents new training and decoding methods that improve the quality, coherence, and diversity of long responses generated using ...

Aug 17, 2018 · Nowadays, the widely employed method for dialogue generation is neural conversation model whose main structure is composed by a recurrent neural ...

A Hybrid RNN-CNN Encoder for Neural Conversation Model. https://doi.org/10.1007/978-3-319-99247-1_14 ·. Journal: Knowledge Science, Engineering and Management ...

2023. A Hybrid RNN-CNN Encoder for Neural Conversation Model. Z Ma, W Rong, Y Wang, L Shi, Z Xiong. International Conference on Knowledge Science, Engineering ...

Jun 7, 2019 · We propose a hybrid architecture, as a combination of a Recurrent Neural. Network and a Convolutional Neural Network models, for Slot. Filling ...

2019. A hybrid of deep sentence representation and local feature representation model for ... A Hybrid RNN-CNN Encoder for Neural Conversation Model. Z Ma, W Rong ...

A hybrid of deep sentence representation and local feature representation model for ... A Hybrid RNN-CNN Encoder for Neural Conversation Model. Z Ma, W Rong, Y ...

This research tries to improve the performance of the neural conversation model by introducing a hybrid RNN-CNN encoder ... A Diversity-Promoting Objective ...

A Hybrid RNN-CNN Encoder for Neural Conversation Model: 11th International ... neural conversation model by introducing a hybrid RNN-CNN encoder. The ...