NDLI: MapMarker: Extraction of Postal Addresses and Associated Information for General Web Pages

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MapMarker: Extraction of Postal Addresses and Associated Information for General Web Pages

Content Provider	ACM Digital Library
Author	Chang, Chia-Hui Li, Shu-Ying
Abstract	Address information is essential for people’s daily life. People often need to query addresses of unfamiliar location through Web and then use map services to mark down the location for direction purpose. Although both address information and map services are available online, they are not well combined. Users usually need to copy individual address from a Web site and paste it to another Web site with map services to locate its direction. Such copy and paste operations have to be repeated if multiple addresses are listed on a single page such as public school list or apartment list. Furthermore, associated information with individual address has to be copied and included on each marker for better comprehension. Our research is devoted to automate the above process and make the combination an easier task for users. The main techniques applied here include postal address extraction and associated information extraction. We apply sequence labeling algorithm based on Conditional Random Fields (CRFs) to train models for address extraction. Meanwhile, using the extracted addresses as landmarks, we apply pattern mining to identify the boundaries of address blocks and extract associated information with each individual address. The experimental result shows high F-score at 91% for postal address extraction and 87% accuracy for associated information extraction.
Starting Page	105
Ending Page	111
Page Count	7
ISBN	9780769541914
DOI	10.1109/WI-IAT.2010.64
Language	English
Publisher	Association for Computing Machinery (ACM)
Publisher Date	2010-08-31
Access Restriction	Subscribed
Subject Keyword	Address extraction conditional random fields associated information extraction
Content Type	Text
Resource Type	Article

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