{"type":"ScholarlyArticle","title":"Interactive Gender Inference with Integer Linear Programming","authors":[{"name":"Shoushan Li","slug":"shoushan-li","given":"Shoushan","family":"Li","affiliation":""},{"name":"Jingjing Wang","slug":"jingjing-wang","given":"Jingjing","family":"Wang","affiliation":""},{"name":"Guodong Zhou","slug":"guodong-zhou","given":"Guodong","family":"Zhou","affiliation":""},{"name":"Hanxiao Shi","slug":"hanxiao-shi","given":"Hanxiao","family":"Shi","affiliation":""}],"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.","doi":null,"url":"https://ijcai.org/proceedings/2015/331","pdf":"https://ijcai.org/proceedings/2015/0331.pdf","markdown":"https://ijcai.org/proceedings/2015/331.md","bibtex":"https://ijcai.org/proceedings/2015/bibtex/331","volume":{"slug":"2015","title":"Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence","short_title":"IJCAI 2015","url":"https://ijcai.org/proceedings/2015/","year":2015,"location":"Buenos Aires, Argentina","dates":"25–31 July 2015","editors":"Qiang Yang and Michael Wooldridge","isbn":"978-1-57735-738-4","publisher":"International Joint Conferences on Artificial Intelligence","doi_prefix":""},"section":"Web Mining","track":"Main Track","number":331,"pages":{"first":2341,"last":2346},"keywords":[],"videos":[],"references":[],"license_note":"Copyright International Joint Conferences on Artificial Intelligence."}