{"url":"/method/tabbie","slug":"tabbie","name":"TABBIE","full_name":"TABBIE","full_name_withheld":false,"description_markdown":"**TABBIE** is a pretraining objective (*corrupt cell detection*) that learns exclusively from tabular data. Unlike other approaches, TABBIE provides embeddings of all table substructures (cells, rows, and columns). TABBIE can be seen as a table embedding model trained to detect corrupted cells, inspired by the [ELECTRA](https://www.paperswithcode.com/method/electra) objective function.","description_state":"present","introduced_year":null,"introduced_by":{"title":"TABBIE: Pretrained Representations of Tabular Data","paper":"/paper/tabbie-pretrained-representations-of-tabular","first_author":"Hiroshi Iida","n_authors":4,"url_abs":null,"archive_paper_url":"https://paperswithcode.com/paper/tabbie-pretrained-representations-of-tabular"},"source":{"url":"https://arxiv.org/abs/2105.02584v1","title":"TABBIE: Pretrained Representations of Tabular Data","url_on_a_paper_host":true},"code_snippet_url":null,"code_snippet_url_on_a_code_host":false,"categories":[{"area":"General","area_id":"general","collection":"Deep Tabular Learning","url":"/methods/category/deep-tabular-learning","pwc_aliases":[]}],"n_papers_tagged":1,"archive_num_papers":1,"papers_newest_first":[{"paper":"/paper/tabbie-pretrained-representations-of-tabular","title":"TABBIE: Pretrained Representations of Tabular Data","date":"2021-05-06","arxiv_id":"2105.02584","n_code_links":2,"syntology":null}],"papers_shown":1,"tasks":[{"task":"/task/cell-detection","name":"Cell Detection","papers":1},{"task":"/task/column-type-annotation","name":"Column Type Annotation","papers":1},{"task":"/task/representation-learning","name":"Representation Learning","papers":1},{"task":"/task/table-annotation","name":"Table annotation","papers":1}],"tasks_shown":4,"n_tasks":4,"usage_by_year":[{"year":"2021","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/tabbie"},"syntology_read_at":"2026-09-24T18:15:14+00:00"}