Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: Automatically determining and assigning shared and meaningful text labels to data extracted from an e-Commerce b page is a challenging problem. An e-Commerce b page can display a list of data records, each of which can contain a combination of data items (e.g. product name and price) and explicit labels, which describe some of these data items. Recent advances in extraction techniques have made it much easier to precisely extract individual data items and labels from a b page, hover, there are two open problems: 1. assigning an explicit label to a data item, and 2. determining labels for the remaining data items. Furthermore, improvements in the availability and coverage of vocabularies, especially in the context of e-Commerce b sites, means that  now have access to a bank of relevant, meaningful and shared labels which can be assigned to extracted data items.   Hover, there is a need for a technique which will take as input a set of extracted data items and assign automatically to them the most relevant and meaningful labels from a shared vocabulary.  observe that the Information Extraction (IE) community has developed a great number of techniques which solve problems similar to our own. In this work-in-progress paper  propose our intention to theoretically and experimentally evaluate different IE techniques to ascertain which is most suitable to solve this problem.
['Neil Anderson', 'Jun Hong']
I am writing a research paper on a idea Evaluation of information extraction techniques to label extracted data from e-commerce web pages
[{"from": "human", "value": "I am writing a research paper on a idea Evaluation of information extraction techniques to label extracted data from e-commerce web pages"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: Automatically determining and assigning shared and meaningful text labels to data extracted from an e-Commerce b page is a challenging problem. An e-Commerce b page can display a list of data records, each of which can contain a combination of data items (e.g. product name and price) and explicit labels, which describe some of these data items. Recent advances in extraction techniques have made it much easier to precisely extract individual data items and labels from a b page, hover, there are two open problems: 1. assigning an explicit label to a data item, and 2. determining labels for the remaining data items. Furthermore, improvements in the availability and coverage of vocabularies, especially in the context of e-Commerce b sites, means that  now have access to a bank of relevant, meaningful and shared labels which can be assigned to extracted data items.   Hover, there is a need for a technique which will take as input a set of extracted data items and assign automatically to them the most relevant and meaningful labels from a shared vocabulary.  observe that the Information Extraction (IE) community has developed a great number of techniques which solve problems similar to our own. In this work-in-progress paper  propose our intention to theoretically and experimentally evaluate different IE techniques to ascertain which is most suitable to solve this problem."}]