A novel conversation model that combines the retrieval model with the generation model for the purpose of obtaining context–appropriate response.
A Hybrid Chinese Conversation model based on retrieval and generation · Tinghuai Ma, Huimin Yang, +2 authors. N. Al-Nabhan · Published in Future generations ...
In this paper, we propose a hybrid neural conversation model that combines the merits of both response retrieval and generation methods. Experimental results on ...
A Hybrid Chinese Conversation model based on retrieval and generation. https://doi.org/10.1016/j.future.2020.08.030 ·. Journal: Future Generation Computer ...
[PDF] A Hybrid Retrieval-Generation Neural Conversation Model - NSF-PAR
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In this paper, we propose a hybrid neural conversation model that combines the merits of both re- sponse retrieval and generation methods. Experimental results ...
Apr 19, 2019 · In this paper, we propose a hybrid neural conversation model that combines the merits of both response retrieval and generation methods.
Missing: Chinese | Show results with:Chinese
会话生成是一项重要的自然语言处理任务，近年来引起了很多关注。对话模型的实现对社交计算领域也具有重要意义，有助于在社交网络上构建人工智能机器人。开放域对话模型从 ...
Apr 11, 2022 · The HRG model can generate a response by using both context information and retrieved historical candidates, which contain richer information such as theme and ...
Sep 12, 2024 · In this paper, we propose a retrieval-polished (RP) model for response generation that polishes a draft response based on a retrieved prototype.
It retrieves the most relevant DV query candidate as a prototype from the DV query codebase, and then revises the prototype to generate the desired DV query.