{"url":"/method/cubere","slug":"cubere","name":"CubeRE","full_name":"CubeRE","full_name_withheld":false,"description_markdown":"Our model known as CubeRE first encodes each input sentence using a language model encoder to obtain the contextualized sequence representation. We then capture the interaction between each possible head and tail entity as a pair representation for predicting the entity-relation label scores. To reduce the computational cost, each sentence is pruned to retain only words that have higher entity scores. Finally, we capture the interaction between each possible relation triplet and qualifier to predict the qualifier label scores and decode the outputs.","description_state":"present","introduced_year":null,"introduced_by":{"title":"A Dataset for Hyper-Relational Extraction and a Cube-Filling Approach","paper":"/paper/a-dataset-for-hyper-relational-extraction-and","first_author":"Yew Ken Chia","n_authors":5,"url_abs":null,"archive_paper_url":"https://paperswithcode.com/paper/a-dataset-for-hyper-relational-extraction-and"},"source":{"url":"https://arxiv.org/abs/2211.10018v1","title":"A Dataset for Hyper-Relational Extraction and a Cube-Filling Approach","url_on_a_paper_host":true},"code_snippet_url":null,"code_snippet_url_on_a_code_host":false,"categories":[{"area":"Natural Language Processing","area_id":"natural-language-processing","collection":"Relation Extraction Models","url":"/methods/category/relation-extraction-models","pwc_aliases":[]}],"n_papers_tagged":1,"archive_num_papers":1,"papers_newest_first":[{"paper":"/paper/a-dataset-for-hyper-relational-extraction-and","title":"A Dataset for Hyper-Relational Extraction and a Cube-Filling Approach","date":"2022-11-18","arxiv_id":"2211.10018","n_code_links":1,"syntology":null}],"papers_shown":1,"tasks":[{"task":"/task/hyper-relational-extraction","name":"Hyper-Relational Extraction","papers":1},{"task":null,"name":"Relation","papers":1},{"task":"/task/relation-extraction","name":"Relation Extraction","papers":1},{"task":null,"name":"Triplet","papers":1},{"task":"/task/graph-construction","name":"graph construction","papers":1}],"tasks_shown":5,"n_tasks":5,"usage_by_year":[{"year":"2022","papers":1}],"row_source":"methods_table","archive":{"source":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28","archive_url":"https://paperswithcode.com/method/cubere"},"syntology_read_at":"2026-09-24T18:15:14+00:00"}