Automatic Extraction of Attributes and Entities for Product Differentiation
نویسندگان
چکیده
منابع مشابه
Unsupervised Extraction of Attributes and Their Values from Product Description
This paper describes an unsupervised method for extracting product attributes and their values from an e-commerce product page. Previously, distant supervision has been applied for this task, but it is not applicable in domains where no reliable knowledge base (KB) is available. Instead, the proposed method automatically creates a KB from tables and itemizations embedded in the product’s pages....
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چکیده ندارد.
15 صفحه اولAttributes Extraction from Product Descriptions on e-Shops
Some e-shops present product attributes in structured form, but many others use the textual description only. Attributes of products are essential in automated product deduplication. We suggest methods for automated extraction of attributes and their values from product descriptions to a structural form. The structural data extracted from other e-shops are used as background knowledge.
متن کاملAutomatic extraction of facts, relations, and entities for web-scale knowledge base population
Equipping machines with knowledge, through the construction of machinereadable knowledge bases, presents a key asset for semantic search, machine translation, question answering, and other formidable challenges in artificial intelligence. However, human knowledge predominantly resides in books and other natural language text forms. This means that knowledge bases must be extracted and synthesiz...
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ژورنال
عنوان ژورنال: International Journal of Computational Intelligence Systems
سال: 2018
ISSN: 1875-6883
DOI: 10.2991/ijcis.11.1.23