Learning information extraction rules for semi-structured and free text
type: Item
instance of: scholarly article
title: Learning information extraction rules for semi-structured and free text
zbMATH Open document ID: 0917.68173
DOI: 10.1023/A:1007562322031
author: Stephen Soderland
published in: Machine Learning
publication date: 1999-08-08T00:00:00Z
Mathematics Subject Classification ID: 68T50
Mathematics Subject Classification ID: 68T05
zbMATH DE Number: 1289922
zbMATH Keywords: natural language processing
zbMATH Keywords: rule learning
zbMATH Keywords: information extraction
zbMATH Keywords: WHISK
MaRDI profile type: Publication
Recommended article: Q3416372
Recommended article: 10.1162/153244304322972685
Recommended article: Q4707966
Recommended article: Q4423986
Recommended article: Machine learning for information extraction in informal domains
Recommended article: Information Extraction from Semi-structured Resources: A Two-Phase Finite State Transducers Approach
description: scientific article; zbMATH DE number 1289922