Papers by Mona Hakami
Learning to Borrow– Relation Representation for Without-Mention Entity-Pairs for Knowledge Graph Completion (2022.naacl-main)
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| Challenge: | Existing methods to integrate text corpora with knowledge graphs (KGs) have been effective in various NLP tasks such as analyzing and predicting relationships between entities. |
| Approach: | They propose a method that borrows LDPs from entities that co-occur in sentences to represent entities that do not co-exist in a single sentence. |
| Outcome: | The proposed method improves the performance of prior methods such as TransE, DistMult, ComplEx and RotatE. |