Interactive Gender Inference with Integer Linear Programming
Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence. Main Track. Pages 2341-2346.
Abstract
Interactive gender inference aims to infer the genders of the two involved users in a communication from the interactive text. In this paper, we address this task by proposing a joint inference approach which well incorporates label correlations among the instances. Specifically, an Integer Linear Programming (ILP) approach is proposed to achieve global optimization with various kinds of intra-task and extra-task constraints. Empirical studies demonstrate the effectiveness of the proposed ILP-based approach to interactive gender inference.
@inproceedings{ijcai2015p331,
title = {Interactive Gender Inference with Integer Linear Programming},
author = {Li, Shoushan and Wang, Jingjing and Zhou, Guodong and Shi, Hanxiao},
booktitle = {Proceedings of the Twenty-Fourth International Joint Conference on
Artificial Intelligence, {IJCAI-15}},
publisher = {International Joint Conferences on Artificial Intelligence},
editor = {Qiang Yang and Michael Wooldridge},
pages = {2341--2346},
year = {2015},
month = {7},
note = {Main Track},
url = {https://ijcai.org/proceedings/2015/331},
}
TY - CPAPER TI - Interactive Gender Inference with Integer Linear Programming AU - Li, Shoushan AU - Wang, Jingjing AU - Zhou, Guodong AU - Shi, Hanxiao T2 - Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence, IJCAI-15 PB - International Joint Conferences on Artificial Intelligence PY - 2015 SP - 2341 EP - 2346 UR - https://ijcai.org/proceedings/2015/331 ER -Copied
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