{"type":"ScholarlyArticle","title":"Learning Multi-faceted Knowledge Graph Embeddings for Natural Language Processing","authors":[{"name":"Muhao Chen","slug":"muhao-chen","given":"Muhao","family":"Chen","affiliation":"Department of Computer Science , UCLA"},{"name":"Carlo Zaniolo","slug":"carlo-zaniolo","given":"Carlo","family":"Zaniolo","affiliation":"Department of Computer Science , UCLA"}],"abstract":"Knowledge graphs have challenged the present embedding-based approaches for representing their multifacetedness. To address some of the issues, we have investigated some novel approaches that (i) captures multilingual transitions on different language-specific versions of knowledge, and (ii) encodes the commonly existing monolingual knowledge with important relational properties and hierarchies. In addition, we propose the use of our approaches in a wide spectrum of NLP tasks that have not been well explored by related works.","doi":"10.24963/ijcai.2017/744","url":"https://ijcai.org/proceedings/2017/744","pdf":"https://ijcai.org/proceedings/2017/0744.pdf","markdown":"https://ijcai.org/proceedings/2017/744.md","bibtex":"https://ijcai.org/proceedings/2017/bibtex/744","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":"Doctoral Consortium","track":"Doctoral Consortium","number":744,"pages":{"first":5169,"last":5170},"keywords":["Artificial Intelligence: machine learning","Artificial Intelligence: knowledge representation","Artificial Intelligence: natural language processing"],"videos":[],"references":[{"position":1,"raw":"[Bordes et al., 2013] Antoine Bordes, Nicolas Usunier, et al. 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