Papers Table Extraction
“Table Extraction” 태그가 달린 논문 32편 · 필터 해제
PubTables-1M: Towards comprehensive table extraction from unstructured documents
Recently, significant progress has been made applying machine learning to the problem of table structure inference and extraction from unstructured documents. However, one of the greatest challenges remains the creation …
Articlesobject-detectionObject DetectionTable Detection+3ScanBank: A Benchmark Dataset for Figure Extraction from Scanned Electronic Theses and Dissertations
We focus on electronic theses and dissertations (ETDs), aiming to improve access and expand their utility, since more than 6 million are publicly available, and they constitute an important corpus to aid research and edu…
Data AugmentationTable ExtractionFlexible Table Recognition and Semantic Interpretation System
Table extraction is an important but still unsolved problem. In this paper, we introduce a flexible and modular table extraction system. We develop two rule-based algorithms that perform the complete table recognition pr…
Table DetectionTable ExtractionTable RecognitionTabLeX: A Benchmark Dataset for Structure and Content Information Extraction from Scientific Tables
Information Extraction (IE) from the tables present in scientific articles is challenging due to complicated tabular representations and complex embedded text. This paper presents TabLeX, a large-scale benchmark dataset …
ArticlesTable ExtractionTablext: A Combined Neural Network And Heuristic Based Table Extractor
A significant portion of the data available today is found within tables. Therefore, it is necessary to use automated table extraction to obtain thorough results when data-mining. Today's popular state-of-the-art methods…
object-detectionObject DetectionOptical Character Recognition (OCR)Table ExtractionWeb Table Classification based on Visual Features
Tables on the web constitute a valuable data source for many applications, like factual search and knowledge base augmentation. However, as genuine tables containing relational knowledge only account for a small proporti…
ClassificationGeneral Classificationimage-classificationImage Classification+2TableLab: An Interactive Table Extraction System with Adaptive Deep Learning
Table extraction from PDF and image documents is a ubiquitous task in the real-world. Perfect extraction quality is difficult to achieve with one single out-of-box model due to (1) the wide variety of table styles, (2) t…
Deep LearningTable ExtractionGlobal Table Extractor (GTE): A Framework for Joint Table Identification and Cell Structure Recognition Using Visual Context
Documents are often used for knowledge sharing and preservation in business and science, within which are tables that capture most of the critical data. Unfortunately, most documents are stored and distributed as PDF or …
Cell Detectionobject-detectionObject DetectionTable Detection+2GFTE: Graph-based Financial Table Extraction
Tabular data is a crucial form of information expression, which can organize data in a standard structure for easy information retrieval and comparison. However, in financial industry and many other fields tables are oft…
Information RetrievalPositionRetrievalTable ExtractionWeb Table Extraction, Retrieval and Augmentation: A Survey
Tables are a powerful and popular tool for organizing and manipulating data. A vast number of tables can be found on the Web, which represents a valuable knowledge resource. The objective of this survey is to synthesize …
Question AnsweringRetrievalSurveyTable Extraction+1TableNet: Deep Learning model for end-to-end Table detection and Tabular data extraction from Scanned Document Images
With the widespread use of mobile phones and scanners to photograph and upload documents, the need for extracting the information trapped in unstructured document images such as retail receipts, insurance claim forms and…
Table DetectionTable ExtractionTransfer LearningAn Annotated Corpus and Method for Analysis of Ad-Hoc Structures Embedded in Text
We describe a method for identifying and performing functional analysis of structured regions that are embedded in natural language documents, such as tables or key-value lists. Such regions often encode information acco…
Table ExtractionText Segmentation