5 selectively read and skip through likely sections

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5 Selectively read and skip through likely sections of the passage, keeping in mind the specific question you formed and your expectations of how the answer might appear. Move your eyes down the page in a systematic way. 6 When you have found the needed information, carefully read the sentences in which it appears in order to confirm that you have located the correct information. What is Information Extraction? Information extraction is the process of extracting specific (pre-specified) information from textual sources. One of the most trivial examples is when your email extracts only the data from the message for you to add in your Calendar. Other free-flowing textual sources from which information extraction can distill structured information are legal acts, medical records, social media interactions and streams, online news, government documents, corporate reports and more. Gathering detailed structured data from texts, information extraction enables: The automation of tasks such as smart content classification, integrated search, management and delivery; Data-driven activities such as mining for patterns and trends, uncovering hidden relationships, etc. Typically, for structured information to be extracted from unstructured texts, the following main subtasks are involved: Pre-processing of the text – this is where the text is prepared for processing with the help of computational linguistics tools such as tokenization, sentence splitting, morphological analysis, etc. Finding and classifying concepts – this is where mentions of people, things, locations, events and other pre- specified types of concepts are detected and classified. Connecting the concepts – this is the task of identifying relationships between the extracted concepts. Unifying – this subtask is about presenting the extracted data into a standard form. Getting rid of the noise – this subtask involves eliminating duplicate data. Information extraction can be entirely automated or performed with the help of human input. Typically, the best information extraction solutions are a combination of automated methods and human processing. SCHEMA THEORY Schemas Refers to a mental framework that allows you to make sense of aspects of your environment. Schemas enable you to interact with your environment in an automatic manner without effortful thought. OR A schema is a cognitive framework or concept that helps organize and interpret information. Schemas can be useful because they allow us to take shortcuts in interpreting the vast amount of information that is available in our environment. Schemas can also contribute to stereotypes and make it difficult to retain new information that does not conform to our established ideas about the world.
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