{"url":"/method/partition-filter-network","slug":"partition-filter-network","name":"Partition Filter Network","full_name":"Partition Filter Network","full_name_withheld":false,"description_markdown":"**Partition Filter Network** is a framework designed specifically for joint entity and relation extraction. The framework consists of three components: partition filter encoder, NER unit and RE unit. In task units, we use table-filling for word pair prediction. Orange, yellow and green represents NER-related, shared and RE-related component or features. (b) Detailed depiction of partition filter encoder in one single time step. We decompose feature encoding into two steps: partition and filter (shown in the gray area). In partition, we first segment neurons into two task partitions and one shared partition. Then in filter, partitions are selected and combined to form task-specific features and shared features, filtering out information irrelevant to each task.","description_state":"present","introduced_year":null,"introduced_by":{"title":null,"paper":null,"first_author":null,"n_authors":0,"url_abs":null,"archive_paper_url":null},"source":{"url":"https://arxiv.org/abs/2108.12202v8","title":"A Partition Filter Network for Joint Entity and Relation Extraction","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":2,"archive_num_papers":null,"papers_newest_first":[{"paper":null,"title":"Automated Supervised Feature Selection for Differentiated Patterns of Care","date":"2021-11-05","arxiv_id":"2111.03495","n_code_links":0,"syntology":null},{"paper":"/paper/a-partition-filter-network-for-joint-entity","title":"A Partition Filter Network for Joint Entity and Relation Extraction","date":"2021-08-27","arxiv_id":"2108.12202","n_code_links":1,"syntology":{"ran":5,"of":7,"unverified":2,"pointer_only":0}}],"papers_shown":2,"tasks":[{"task":"/task/joint-entity-and-relation-extraction","name":"Joint Entity and Relation Extraction","papers":1},{"task":null,"name":"Relation","papers":1},{"task":"/task/relation-extraction","name":"Relation Extraction","papers":1},{"task":"/task/relation-prediction","name":"Relation Prediction","papers":1},{"task":"/task/representation-learning","name":"Representation Learning","papers":1},{"task":"/task/feature-selection","name":"feature selection","papers":1}],"tasks_shown":6,"n_tasks":6,"usage_by_year":[{"year":"2021","papers":2}],"row_source":"embedded","archive":{"source":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28","archive_url":"https://paperswithcode.com/method/partition-filter-network"},"syntology_read_at":"2026-09-24T18:15:14+00:00"}