Unsupervised Modeling of Dialog Acts in Asynchronous Conversations
Proceedings of the Twenty-Second International Joint Conference on Artificial Intelligence. Pages 1807-1812.
Abstract
We present unsupervised approaches to the problem of modeling dialog acts in asynchronous conversations; i.e., conversations where participants collaborate with each other at different times. In particular, we investigate a graph-theoretic deterministic framework and two probabilistic conversation models (i.e., HMM and HMM+Mix) for modeling dialog acts in emails and forums. We train and test our conversation models on (a) temporal order and (b) graph-structural order of the datasets. Empirical evaluation suggests (i) the graph-theoretic framework that relies on lexical and structural similarity metrics is not the right model for this task, (ii) conversation models perform better on the graph-structural order than the temporal order of the datasets and (iii) HMM+Mix is a better conversation model than the simple HMM model.
@inproceedings{ijcai2011p303,
title = {Unsupervised Modeling of Dialog Acts in Asynchronous Conversations},
author = {Joty, Shafiq R. and Carenini, Giuseppe and Lin, Chin-Yew},
booktitle = {Proceedings of the Twenty-Second International Joint Conference on
Artificial Intelligence, {IJCAI-11}},
publisher = {AAAI Press/International Joint Conferences on Artificial Intelligence},
editor = {Toby Walsh},
pages = {1807--1812},
year = {2011},
month = {7},
doi = {10.5591/978-1-57735-516-8/IJCAI11-303},
url = {https://doi.org/10.5591/978-1-57735-516-8/IJCAI11-303},
}
TY - CPAPER TI - Unsupervised Modeling of Dialog Acts in Asynchronous Conversations AU - Joty, Shafiq R. AU - Carenini, Giuseppe AU - Lin, Chin-Yew T2 - Proceedings of the Twenty-Second International Joint Conference on Artificial Intelligence, IJCAI-11 PB - AAAI Press/International Joint Conferences on Artificial Intelligence PY - 2011 SP - 1807 EP - 1812 DO - 10.5591/978-1-57735-516-8/IJCAI11-303 UR - https://doi.org/10.5591/978-1-57735-516-8/IJCAI11-303 ER -Copied
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