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Distinct from the author and the narrator, the term refers to the "authorial character" that a reader infers from a text based on the way a literary work is written. In other words, the implied author is a construct, the image of the writer produced by a reader as called forth from the text.
Backward inferences require the reader to bridge the current text idea to one that occurred earlier in the text. These types of inferences are also referred to as "bridging inferences." For example, if a reader came across the following sentences together, they would need to have inferred that the sentences are related to one-another if they ...
Logical consequence is necessary and formal, by way of examples that explain with formal proof and models of interpretation. [1] A sentence is said to be a logical consequence of a set of sentences, for a given language , if and only if , using only logic (i.e., without regard to any personal interpretations of the sentences) the sentence must ...
One such example can be found in education economics, between the screening/signaling and human capital models: it could either be that having innate ability enables one to complete an education, or that completing an education builds one's ability. Example 5. A historical example of this is that Europeans in the Middle Ages believed that lice ...
text: If you help the needy, God will reward you. hypothesis: Giving money to a poor man has good consequences. An example of a negative TE (text contradicts hypothesis) is: text: If you help the needy, God will reward you. hypothesis: Giving money to a poor man has no consequences. An example of a non-TE (text does not entail nor contradict) is:
One of the pro-seniority power centers in the caucus has been the Congressional Black Caucus, or CBC. Decades ago, Black lawmakers often struggled to secure coveted committee leadership posts.
Eggs are one of the cheapest sources of protein. And they offer a delicious and easy avenue for getting veggies, like in this frittata. Using frozen vegetables saves prep time, too.
Additionally, the term 'inference' has also been applied to the process of generating predictions from trained neural networks. In this context, an 'inference engine' refers to the system or hardware performing these operations. This type of inference is widely used in applications ranging from image recognition to natural language processing.