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Line Items Extraction

태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.

하위 태스크
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평가표
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보존된 평가 기록
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Given a document, extract all of the tables in the document and format the results as a list of line items where each line item is a key-value map

데이터셋

출처에 같은 태스크 이름으로 연결된 데이터셋입니다. 동명 태스크가 포함될 수 있으므로, 비교할 때는 평가 결과의 조건도 확인하세요.

DocILE

DocILE is a large dataset of business documents for the tasks of Key Information Localization and Extraction and Line Item Recognition. It contains 6.7k annotated business documents, 100k synthetically generated documents, and nearly 1M unlabeled documents for unsupervised pre-training. The dataset has been built with knowledge of domain- and task-specific aspects, resulting in the following key features: i) annotations in 55 classes, which surpasses the granularity of previously published key information extraction datasets by a large margin ii) Line Item Recognition represents a highly practical information extraction task, where key information has to be assigned to items in a table iii) documents come from numerous layouts and the test set includes zero- and few-shot cases as well as layouts commonly seen in the training set Source: DocILE Benchmark for Document Information Localization and Extraction Image Source : https://arxiv.org/pdf/2302.05658v1.pdf

출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.