ML Anthology

Interactive Gender Inference with Integer Linear Programming

Shoushan Li, Jingjing Wang, Guodong Zhou, Hanxiao Shi
IJCAI 2015 pp. 2341-2347
/ijcai/2015/li2015ijcai-interactive/

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.

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Cite

Text

Li et al. "Interactive Gender Inference with Integer Linear Programming." International Joint Conference on Artificial Intelligence, 2015.

Markdown

[Li et al. "Interactive Gender Inference with Integer Linear Programming." International Joint Conference on Artificial Intelligence, 2015.](https://mlanthology.org/ijcai/2015/li2015ijcai-interactive/)

BibTeX

@inproceedings{li2015ijcai-interactive,
  title     = {{Interactive Gender Inference with Integer Linear Programming}},
  author    = {Li, Shoushan and Wang, Jingjing and Zhou, Guodong and Shi, Hanxiao},
  booktitle = {International Joint Conference on Artificial Intelligence},
  year      = {2015},
  pages     = {2341-2347},
  url       = {https://mlanthology.org/ijcai/2015/li2015ijcai-interactive/}
}