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Learning table extraction from examples

https://doi.org/10.3115/1220355.1220497
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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1117/12.373506openalex-snapshot
Medium-independent table detection
inferredcites →https://doi.org/10.1145/263690.263816openalex-snapshot
TINTIN
inferredcites →https://doi.org/10.1145/511446.511477openalex-snapshot
A flexible learning system for wrapping tables and lists in HTML documents
inferredcites →https://doi.org/10.1145/511446.511478openalex-snapshot
A machine learning based approach for table detection on the web
inferredcites →https://doi.org/10.1145/544220.544228openalex-snapshot
QuASM
inferredcites →https://doi.org/10.1145/860435.860479openalex-snapshot
Table extraction using conditional random fields
inferredcites →https://doi.org/10.3115/974557.974589openalex-snapshot
Layout & language
inferredcites →https://doi.org/10.3115/990820.990845openalex-snapshot
Mining tables from large scale HTML texts
inferredcites →https://doi.org/10.3115/990820.990869openalex-snapshot
Layout and language

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

inferred← citeshttps://doi.org/10.2139/ssrn.3199253openalex-extracted
From Tables to Frames
inferred← citeshttps://doi.org/10.2139/ssrn.4044585openalex-extracted
Tablext: A Combined Neural Network and Heuristic Based Table Extractor
inferred← citeshttps://doi.org/10.2139/ssrn.4127694openalex-extracted
Tablext: A Combined Neural Network and Heuristic Based Table Extractor
inferred← citeshttps://doi.org/10.1007/11610113_79openalex-snapshot
Table Detection from Plain Text Using Machine Learning and Document Structure
inferred← citeshttps://doi.org/10.1007/978-3-030-66665-1_13openalex-snapshot
Generic Key Value Extractions from Emails
inferred← citeshttps://doi.org/10.1007/978-3-031-70533-5_25openalex-snapshot
DTSM: Toward Dense Table Structure Recognition with Text Query Encoder and Adjacent Feature Aggregator
inferred← citeshttps://doi.org/10.1007/978-3-319-41754-7_14openalex-snapshot
Disentangling the Structure of Tables in Scientific Literature
inferred← citeshttps://doi.org/10.1007/978-3-540-30475-3_13openalex-snapshot
From Tables to Frames
inferred← citeshttps://doi.org/10.1007/978-3-642-04840-1_26openalex-snapshot
FOCIH: Form-Based Ontology Creation and Information Harvesting
inferred← citeshttps://doi.org/10.1007/978-3-642-35314-7_25openalex-snapshot
Locating Candidate Tables in a Spreadsheet Rendered Web Page
inferred← citeshttps://doi.org/10.1007/s10032-019-00317-0openalex-snapshot
A framework for information extraction from tables in biomedical literature
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Applying semantic web technologies to knowledge sharing in aerospace engineering
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Web table discrimination with composition of rich structural and content information
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Transforming arbitrary tables into logical form with TARTAR
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Automatic hidden-web table interpretation, conceptualization, and semantic annotation
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From tables to frames
inferred← citeshttps://doi.org/10.1038/msb.2010.45openalex-snapshot
Structured digital tables on the Semantic Web: toward a structured digital literature
inferred← citeshttps://doi.org/10.1088/1757-899x/46/1/012035openalex-snapshot
HTML Extraction Algorithm Based on Property and Data Cell
inferred← citeshttps://doi.org/10.1109/access.2024.3522141openalex-snapshot
Computer Vision-Based Framework for Data Extraction From Heterogeneous Financial Tables: A Comprehensive Approach to Unlocking Financial Insights
inferred← citeshttps://doi.org/10.1109/acit65614.2025.11185625openalex-snapshot
Synthetic Data Augmentation for Table Detection: Re-evaluating TableNet’s Performance with Automatically Generated Document Images
inferred← citeshttps://doi.org/10.1109/aiam48774.2019.00050openalex-snapshot
Data Mining Techniques for the Analysis and Prediction in Bioenergy Yield
inferred← citeshttps://doi.org/10.1109/conecct68978.2026.11700625openalex-snapshot
TDSRNet: Lightweight & Robust Table Detection and Structure Recognition for Mobile Screenshots
inferred← citeshttps://doi.org/10.1109/csnt.2011.66openalex-snapshot
A Methodology for Extracting Head Contents from Meaningful Tables in Web Pages
inferred← citeshttps://doi.org/10.1109/cvpr52688.2022.00459openalex-snapshot
PubTables-1M: Towards comprehensive table extraction from unstructured documents
inferred← citeshttps://doi.org/10.1109/gcis.2009.310openalex-snapshot
Information Extraction Based on Table Area Locating for E-Commerce Websites
inferred← citeshttps://doi.org/10.1109/icbk50248.2020.00093openalex-snapshot
An OpenCV-based Framework for Table Information Extraction
inferred← citeshttps://doi.org/10.1109/iccv48922.2021.00098openalex-snapshot
Parsing Table Structures in the Wild
inferred← citeshttps://doi.org/10.1109/icdar.2019.00029openalex-snapshot
TableNet: Deep Learning Model for End-to-end Table Detection and Tabular Data Extraction from Scanned Document Images
inferred← citeshttps://doi.org/10.1109/icdarw.2019.00010openalex-snapshot
Table Localization and Field Value Extraction in Piping and Instrumentation Diagram Images
inferred← citeshttps://doi.org/10.1109/icdarw.2019.40098openalex-snapshot
Table Understanding in Structured Documents
inferred← citeshttps://doi.org/10.1109/icmla.2017.00-77openalex-snapshot
Putting Self-Supervised Token Embedding on the Tables
inferred← citeshttps://doi.org/10.1109/icsmc.2008.4811612openalex-snapshot
A basic study on attribute name extraction from the web
inferred← citeshttps://doi.org/10.1109/icspcc52875.2021.9564807openalex-snapshot
A Table Segmentation and Text Information Extraction Method for Power Work Ticket
inferred← citeshttps://doi.org/10.1109/iucs.2010.5666648openalex-snapshot
Structured Poi data extraction from Internet news
inferred← citeshttps://doi.org/10.1109/tcad.2022.3158073openalex-snapshot
FASCINET: A Fully Automated Single-Board Computer Generator Using Neural Networks
inferred← citeshttps://doi.org/10.1109/wi-iat.2015.60openalex-snapshot
Bootstrapping Approach for Extracting Object Attribute Names from the Web
inferred← citeshttps://doi.org/10.1142/s0218194016500303openalex-snapshot
A Method for Materials Knowledge Extraction from HTML Tables Based on Sibling Comparison
inferred← citeshttps://doi.org/10.1145/1242572.1242583openalex-snapshot
Towards domain-independent information extraction from web tables
inferred← citeshttps://doi.org/10.1145/1936254.1936264openalex-snapshot
Mining for attributes and values in tables
inferred← citeshttps://doi.org/10.1145/1963405.1963477openalex-snapshot
FACTO
inferred← citeshttps://doi.org/10.1145/2623330.2623761openalex-snapshot
LaSEWeb
inferred← citeshttps://doi.org/10.1145/2851613.2851992openalex-snapshot
A bootstrapping method for extracting attribute names with keys from the web
inferred← citeshttps://doi.org/10.1145/3177874openalex-snapshot
Machine Reading of Biomedical Data Dictionaries
inferred← citeshttps://doi.org/10.1145/3183713.3183729openalex-snapshot
Fonduer
inferred← citeshttps://doi.org/10.1145/3209542.3209551openalex-snapshot
Joint Distributed Representation of Text and Structure of Semi-Structured Documents
inferred← citeshttps://doi.org/10.1145/3459637.3482027openalex-snapshot
Large-Scale Information Extraction under Privacy-Aware Constraints
inferred← citeshttps://doi.org/10.1145/3486622.3493938openalex-snapshot
Multi-Task Neural Sequence Labeling for Zero-Shot Cross-Language Boilerplate Removal
inferred← citeshttps://doi.org/10.1504/ijcat.2015.073589openalex-snapshot
HTML table wrapper based on table components
inferred← citeshttps://doi.org/10.1609/aaai.v31i1.10668openalex-snapshot
Automated Data Extraction Using Predictive Program Synthesis
inferred← citeshttps://doi.org/10.1609/aaai.v35i5.16558openalex-snapshot
DocParser: Hierarchical Document Structure Parsing from Renderings
inferred← citeshttps://doi.org/10.3389/fvets.2021.674730openalex-snapshot
Large-Scale Data Mining of Rapid Residue Detection Assay Data From HTML and PDF Documents: Improving Data Access and Visualization for Veterinarians
inferred← citeshttps://doi.org/10.3390/s25010203openalex-snapshot
Table Extraction with Table Data Using VGG-19 Deep Learning Model
inferred← citeshttps://doi.org/10.4236/jcc.2015.312009openalex-snapshot
Automatic Table Recognition and Extraction from Heterogeneous Documents
inferred← citeshttps://doi.org/10.48550/arxiv.1911.01702openalex-snapshot
DocParser: Hierarchical Structure Parsing of Document Renderings
inferred← citeshttps://doi.org/10.5220/0005660102230228openalex-snapshot
Extracting Patient Data from Tables in Clinical Literature - Case Study on Extraction of BMI, Weight and Number of Patients
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