Extraction means “pulling out” and Retrieval means “getting back.” Information retrieval is about returning the information that is relevant for a specific query or field of interest of the user. While information extraction is more about extracting general knowledge (or relations) from a set of documents or information. Information extraction is the standard process of taking data and extracting structured information from it so that it can be used for various purposes, one of which may be in a search engine. Information Retrieval : The initial set of documents/texts and the query which says “what to retrieval for” this both things are very important parts of the information retrieval system. It is searching and finding relevant documents from a set of documents. There are various methods and techniques used in information retrieval. In an information retrieval system, we reduce information overload using an automated IR system.
Various techniques used in information retrieval are:
Information Extraction : The information extraction system used in online text extraction should come at a low cost. It needs to have flexibility in development and must have an easy conversion to new domains. Let’s take the natural language processing of the machine as an example, i.e. Here IE(information extraction) is able to recognize the IR system of a person’s need. Using information extraction we want to make a machine capable of extracting structured information from documents. The importance of an information extraction system is determined by the growing amount of information available in unstructured form(data without metadata), like on the Internet. This knowledge can be made more accessible utilizing transformation into relational form, or by marking-up with XML tags. We always try to use automated learning systems in information extraction and we always use this. This type of IE system will decrease the faults in information extraction. This will also reduce dependencies on a domain by diminishing the requirement for supervision. IE of structured information relies on the basic content management principle: “Content must be in context to have value“. Information Extraction is difficult than Information Retrieval. Difference between Information Retrieval and Information Extraction : The main goal of IE is to extract meaningful information from corps of documents that might be in different languages. Here meaningful information contains types of information like events, facts, components, or relations. These facts are then usually stored automatically into a database, which may then be used to analyze the data for trends, to give a natural language summary, or simply to serve for online access. More formally, Information Extraction gets facts out of documents while Information Retrieval gets sets of relevant documents.
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MCQs of Natural Language Processing
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