Incorporating the Structure of the Belief State in End-to-End Task-Oriented Dialogue Systems
By Lei Shu, Piero Molino, Mahdi Namazifar, Bing Liu, Hu Xu, Huaixiu Steven Zheng, Gökhan Tür. 2018
Subfields: Natural Language Processing
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In Natural Language Processing
- Bryan McCann
- Richard Socher
- Chien-Sheng Wu
- Zhou Yu
- Ehsan Hosseini-Asl
- Semih Yavuz
- Caiming Xiong
- Andrea Madotto
Citations in the corpus
- A Simple Language Model for Task-Oriented Dialogue (2020, methodology): “[45] incorporated dialogue state tracking and jointly trained with response generation using a sequence-to-sequence approach.”
- Learning Knowledge Bases with Parameters for Task-Oriented Dialogue Systems (2020, unknown): “…Madotto et al., 2020a; Neelakantan et al., 2019; Qin et al., 2019, 2020; Raghu et al., 2019; Haihong et al., 2019; He et al., 2020) and hybrid (Shu et al., 2018; Lei et al., 2018; Zhang et al., 2019a; Mehri et al., 2019; Chen et al., 2019; Peng et al., 2020a; Ham et al., 2020; Hosseini-Asl…”
- MOSS: End-to-End Dialog System Framework with Modular Supervision (2019, background): “Shu et al. (2018) extended TSCP (Lei et al. 2018) by separately decoding information slot and predicting requested slot for dialog state tracking.”