ML Anthology

Discovering Conversational Dependencies Between Messages in Dialogs

Wenchao Du, Pascal Poupart, Wei Xu
AAAI 2017 pp. 4917-4918
doi:10.1609/AAAI.V31I1.11111 /aaai/2017/du2017aaai-discovering/

Abstract

We investigate the task of inferring conversational dependencies between messages in one-on-one online chat, which has become one of the most popular forms of customer service. We propose a novel probabilistic classifier that leverages conversational, lexical and semantic information. The approach is evaluated empirically on a set of customer service chat logs from a Chinese e-commerce website. It outperforms heuristic baselines.

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Cite

Text

Du et al. "Discovering Conversational Dependencies Between Messages in Dialogs." AAAI Conference on Artificial Intelligence, 2017. doi:10.1609/AAAI.V31I1.11111

Markdown

[Du et al. "Discovering Conversational Dependencies Between Messages in Dialogs." AAAI Conference on Artificial Intelligence, 2017.](https://mlanthology.org/aaai/2017/du2017aaai-discovering/) doi:10.1609/AAAI.V31I1.11111

BibTeX

@inproceedings{du2017aaai-discovering,
  title     = {{Discovering Conversational Dependencies Between Messages in Dialogs}},
  author    = {Du, Wenchao and Poupart, Pascal and Xu, Wei},
  booktitle = {AAAI Conference on Artificial Intelligence},
  year      = {2017},
  pages     = {4917-4918},
  doi       = {10.1609/AAAI.V31I1.11111},
  url       = {https://mlanthology.org/aaai/2017/du2017aaai-discovering/}
}