shawnwun/RNNLG
RNNLG is an open source benchmark toolkit for Natural Language Generation (NLG) in spoken dialogue system application domains. It is released by Tsung-Hsien (Shawn) Wen from Cambridge Dialogue Systems Group under Apache License 2.0.
This toolkit helps dialogue system developers create natural-sounding responses for conversational AI. You input structured dialogue acts (like "request:restaurant" or "inform:price"), and it generates human-like sentences. It's ideal for developers building or benchmarking the language generation component of spoken dialogue systems for tasks like searching for hotels, restaurants, laptops, or TVs.
491 stars. No commits in the last 6 months.
Use this if you are developing or evaluating natural language generation components for spoken dialogue systems and need to benchmark different RNN-based models and training strategies.
Not ideal if you are an end-user looking for a ready-to-use conversational AI system or if you need a language generation solution for general text summarization or creative writing.
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Jul 02, 2019
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