A flexible learning system for wrapping tables and lists in HTML documents

295 citations recorded by the source corpus.

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

Mining data records in Web pages (2003, methodology): “Other approaches [2][4] [6][7][8][9][10][12][14][16][17][18][19][21][22][23] all have some degree of automation.”
Web data extraction based on partial tree alignment (2005, methodology): “Example wrapper induction systems include WIEN [19], Softmealy [18], Stalker [23], WL(2) [11], [25], etc.”
TEGRA: Table Extraction by Global Record Alignment (2015, methodology): “Our problem is also related to information extraction, and more speciﬁcally wrapper induction for structured Web data extraction [4, 12, 17].”
Navigating the Data Lake with DATAMARAN: Automatically Extracting Structure from Log Datasets (2017, background): “, extraction from lists on the web is another area that has seen some work [11, 13, 22, 33, 50].”
Zero-shot Entity Extraction from Web Pages (2014, background): “We expect that this problem can be solved by normalizing the web page, using an alternative web page representation (Cohen et al., 2002; Wang and Co-hen, 2009; Fumarola et al., 2011), or leveraging more expressive extraction predicates (Dalvi et al., 2011).”