PinPoint: A Neural Inductive Attribute Extractor for Web Pages

PinPoint: A Neural Inductive Attribute Extractor for Web Pages

摘要

Despite the explosive growth of the internet over the past couple of decades, much of the digitized knowledge has been curated for human understanding and has stayed unfriendly for machine comprehension. Even promising efforts towards creating semantic web like the Resource Description Framework in Attributes (RDFA), Ontology Web Language (OWL), JSON-LD, and Open Graph Protocol are in infancy and fall short for commercial applications due to data sparsity and high variance in data quality across websites. Hence Web Information Extraction (WIE), colloquially known as scraping, is the dominant knowledge acquisition strategy for several organizations in advertising, commerce, search engines, travel, etc. For our purposes, Pinterest uses this approach to bring high-level information (like price and product description) from saved websites to the Pin-level, to help provide Pinners with more information, along with a link back to the original website for more details, and to ultimately take action.