On the Complementary Nature of Knowledge Graph Embedding, Fine Grain Entity Types, and Language Modeling
| dc.contributor.author | Patel, Rajat | |
| dc.contributor.author | Ferraro, Francis | |
| dc.date.accessioned | 2020-12-08T19:42:05Z | |
| dc.date.available | 2020-12-08T19:42:05Z | |
| dc.date.issued | 2020-11-19 | |
| dc.description | Deep Learning Inside Out (DeeLIO): The First Workshop on Knowledge Extraction and Integration for Deep Learning Architectures | en_US |
| dc.description.abstract | We demonstrate the complementary natures of neural knowledge graph embedding, fine-grain entity type prediction, and neural language modeling. We show that a language model-inspired knowledge graph embedding approach yields both improved knowledge graph embeddings and fine-grain entity type representations. Our work also shows that jointly modeling both structured knowledge tuples and language improves both. | en_US |
| dc.description.sponsorship | We would like to thank members and affiliates of the UMBC CSEE Department, including Ankur Padia, Tim Finin, and Karuna Joshi. Some experiments were conducted on the UMBC HPCF. We’d also like to thank the reviewers for their comments and suggestions. This material is also based on research that is in part supported by the Air Force Research Laboratory (AFRL), DARPA, for the KAIROS program under agreement number FA8750-19- 2-1003. The U.S.Government is authorized to reproduce and distribute reprints for Governmental purposes notwithstanding any copyright notation thereon. The views and conclusions contained herein are those of the authors and should not be interpreted as necessarily representing the official policies or endorsements, either express or implied, of the Air Force Research Laboratory (AFRL), DARPA, or the U.S. Government. | en_US |
| dc.description.uri | https://www.aclweb.org/anthology/2020.deelio-1.11.pdf | en_US |
| dc.format.extent | 11 pages | en_US |
| dc.genre | conference papers and proceedings | en_US |
| dc.identifier | doi:10.13016/m2gzsk-ggoz | |
| dc.identifier.citation | Rajat Patel and Francis Ferraro, On the Complementary Nature of Knowledge Graph Embedding, Fine Grain Entity Types, and Language Modeling, Proceedings of Deep Learning Inside Out (DeeLIO): The First Workshop on Knowledge Extraction and Integration for Deep Learning Architectures, pp 89-99, DOI: 10.18653/v1/2020.deelio-1.11 | en_US |
| dc.identifier.uri | https://doi.org/10.18653/v1/2020.deelio-1.11 | |
| dc.identifier.uri | http://hdl.handle.net/11603/20205 | |
| dc.language.iso | en_US | en_US |
| dc.publisher | Association for Computational Linguistics | en_US |
| dc.relation.isAvailableAt | The University of Maryland, Baltimore County (UMBC) | |
| dc.relation.ispartof | UMBC Computer Science and Electrical Engineering Department Collection | |
| dc.relation.ispartof | UMBC Faculty Collection | |
| dc.rights | This item is likely protected under Title 17 of the U.S. Copyright Law. Unless on a Creative Commons license, for uses protected by Copyright Law, contact the copyright holder or the author. | |
| dc.title | On the Complementary Nature of Knowledge Graph Embedding, Fine Grain Entity Types, and Language Modeling | en_US |
| dc.type | Text | en_US |