The First Evaluation of Chinese Human-Computer Dialogue Technology
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Abstract (arXiv)
In this paper, we introduce the first evaluation of Chinese human-computer dialogue technology. We detail the evaluation scheme, tasks, metrics and how to collect and annotate the data for training, developing and test. The evaluation includes two tasks, namely user intent classification and online testing of task-oriented dialogue. To consider the different sources of the data for training and developing, the first task can also be divided into two sub tasks. Both the two tasks are coming from the real problems when using the applications developed by industry. The evaluation data is provided by the iFLYTEK Corporation. Meanwhile, in this paper, we publish the evaluation results to present the current performance of the participants in the two tasks of Chinese human-computer dialogue technology. Moreover, we analyze the existing problems of human-computer dialogue as well as the evaluation scheme itself.
Key facts. Cited by 7 papers in the map (data through 14 Oct 2026). First posted on arXiv 29 Sep 2017.
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Citing papers per year: 2021: 1; 2022: 4; 2023: 2.
7 papers.
- 2022Cross-Lingual Dialogue Dataset Creation via Outline-Based Generationcited by 23
- 2021Crossing the Conversational Chasm: A Primer on Natural Language Processing for Multilingual Task-Oriented Dialogue Systemscited by 17
- 2022A Survey of Intent Classification and Slot-Filling Datasets for Task-Oriented Dialogcited by 14
- 2022A Simple Meta-learning Paradigm for Zero-shot Intent Classification with Mixture Attention Mechanismcited by 6
- 2022DialogUSR: Complex Dialogue Utterance Splitting and Reformulation for Multiple Intent Detectioncited by 3
- 2023MSMix:An Interpolation-Based Text Data Augmentation Method Manifold Swap Mixupcited by 0
- 2023Exploring the Usage of Chinese Pinyin in Pretrainingcited by 0
- 2023Exploring the Usage of Chinese Pinyin in Pretraining8 Oct 2023
- 2023MSMix:An Interpolation-Based Text Data Augmentation Method Manifold Swap Mixup31 May 2023
- 2022DialogUSR: Complex Dialogue Utterance Splitting and Reformulation for Multiple Intent Detection20 Oct 2022
- 2022A Survey of Intent Classification and Slot-Filling Datasets for Task-Oriented Dialog26 Jul 2022
- 2022A Simple Meta-learning Paradigm for Zero-shot Intent Classification with Mixture Attention Mechanism5 Jun 2022
- 2022Cross-Lingual Dialogue Dataset Creation via Outline-Based Generation31 Jan 2022
- 2021Crossing the Conversational Chasm: A Primer on Natural Language Processing for Multilingual Task-Oriented Dialogue Systems17 Apr 2021