Kaggle Competition

Identify product mentions within a largely user-generated web-based corpus and disambiguate the mentions against a large product catalog.

Challenge

• to automatically identify all mentions of consumer products in a largely user-generated collection of web content, and to correctly identify the product(s) that each product mention refers to from a large catalog of products.

Dataset

• hundreds of thousands of text items, a product catalog with over fifteen million products, and hundreds of manually annotated product mentions supporting data-driven approaches.

Evaluation

• submission of disambiguated product mentions will be scored based on the mean F1 correctness metric.
• rules

 Winners:

1st Zhanpeng Fang

• Solution documentation and interview: C, Python and Perl
• Paper: Accurate Product Name Recognition from User Generated Content
• Slide

2nd: Olexandr Topchylo

• documentation: C++