HyperAI

SMP-2017 Chinese Conversation Intent Recognition Dataset

Date

a year ago

Size

32.56 MB

Organization

Publish URL

github.com

This dataset is the SMP2017 Chinese Human-Computer Dialogue Technology Evaluation (ECDT) Task 1 dataset.

In recent years, human-computer dialogue technology has received extensive attention from academia and industry. Academically, human-computer dialogue is one of the most natural ways of human-computer interaction, and its development influences and promotes the progress of research on speech recognition and synthesis, natural language understanding, dialogue management, and natural language generation. In industry, many industry giants have successively launched products related to human-computer dialogue technology, such as personal affairs assistants, virtual emotional companion robots, entertainment chat robots, etc., and have made human-computer dialogue technology a key research and development direction of their companies. The above has greatly promoted the development of human-computer dialogue technology in academia and industry.

This year's Chinese Human-Computer Dialogue Technology Evaluation is hosted by the Social Media Processing Committee of the Chinese Information Processing Society of China, organized by Harbin Institute of Technology and iFlytek Co., Ltd., with iFlytek providing data and Huawei providing prize money. It aims to promote the development of research related to Chinese human-computer dialogue systems and provide a good communication platform for academic researchers and industry practitioners related to human-computer dialogue technology.

SMP2017ECDT.torrent
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  • SMP2017ECDT/
    • README.md
      1.82 KB
    • README.txt
      3.64 KB
      • data/
        • SMP2017ECDT-DATA-master.zip
          32.56 MB