{"type":"ScholarlyArticle","title":"AGRA: An Analysis-Generation-Ranking Framework for Automatic Abbreviation from Paper Titles","authors":[{"name":"Jianbing Zhang","slug":"jianbing-zhang","given":"Jianbing","family":"Zhang","affiliation":"National Key Laboratory for Novel Software Technology , Nanjing University , China"},{"name":"Yixin Sun","slug":"yixin-sun","given":"Yixin","family":"Sun","affiliation":"National Key Laboratory for Novel Software Technology , Nanjing University , China"},{"name":"Shujian Huang","slug":"shujian-huang","given":"Shujian","family":"Huang","affiliation":"National Key Laboratory for Novel Software Technology , Nanjing University , China"},{"name":"Cam-Tu Nguyen","slug":"cam-tu-nguyen","given":"Cam-Tu","family":"Nguyen","affiliation":"National Key Laboratory for Novel Software Technology , Nanjing University , China"},{"name":"Xiaoliang Wang","slug":"xiaoliang-wang","given":"Xiaoliang","family":"Wang","affiliation":"National Key Laboratory for Novel Software Technology , Nanjing University , China"},{"name":"Xinyu Dai","slug":"xinyu-dai","given":"Xinyu","family":"Dai","affiliation":"National Key Laboratory for Novel Software Technology , Nanjing University , China"},{"name":"Jiajun Chen","slug":"jiajun-chen","given":"Jiajun","family":"Chen","affiliation":"National Key Laboratory for Novel Software Technology , Nanjing University , China"},{"name":"Yang Yu","slug":"yang-yu","given":"Yang","family":"Yu","affiliation":"National Key Laboratory for Novel Software Technology , Nanjing University , China"}],"abstract":"People sometimes choose word-like abbreviations to refer to items with a long description. These abbreviations usually come from the descriptive text of the item and are easy to remember and pronounce, while preserving the key idea of the item. Coming up with a nice abbreviation is not an easy job, even for human. Previous assistant naming systems compose names by applying hand-written rules, which may not perform well. In this paper, we propose to view the naming task as an artificial intelligence problem and create a data set in the domain of academic naming. To generate more delicate names, we propose a three-step framework, including description analysis, candidate generation and abbreviation ranking, each of which is parameterized and optimizable. We conduct experiments to compare different settings of our framework with several analysis approaches from different perspectives. Compared to online or baseline systems, our framework could achieve the best results.","doi":"10.24963/ijcai.2017/590","url":"https://ijcai.org/proceedings/2017/590","pdf":"https://ijcai.org/proceedings/2017/0590.pdf","markdown":"https://ijcai.org/proceedings/2017/590.md","bibtex":"https://ijcai.org/proceedings/2017/bibtex/590","volume":{"slug":"2017","title":"Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence","short_title":"IJCAI 2017","url":"https://ijcai.org/proceedings/2017/","year":2017,"location":"Melbourne, Australia","dates":"19-25 August 2017","editors":"Carles Sierra","isbn":"978-0-9992411-0-3","publisher":"International Joint Conferences on Artificial Intelligence Organization","doi_prefix":"10.24963/ijcai.2017"},"section":"Natural Language Processing","track":"Main track","number":590,"pages":{"first":4221,"last":4227},"keywords":["Natural Language Processing: NLP Applications and Tools","Multidisciplinary Topics and Applications: Multidisciplinary Topics and Applications"],"videos":[],"references":[{"position":1,"raw":"[Andersen et al., 2008] David G. 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