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Text inferencing describes the tacit or active process of logical induction or deduction during reading. Inferences are used to bridge current text ideas with antecedent text ideas or ideas in the reader's store of prior world knowledge. Text inferencing is an area of study within the fields of cognitive psychology and linguistics. Much of the ...
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.
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 ...
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:
All of those examples deal with a lurking variable, which is simply a hidden third variable that affects both of the variables observed to be correlated. That third variable is also known as a confounding variable, with the slight difference that confounding variables need not be hidden and may thus be corrected for in an analysis. Note that ...
The inference process is based on the decoded meaning, the addressee's knowledge and beliefs, and the context, and is guided by the communicative principle of relevance. [10] For example, take an utterance (5) Susan told me that her kiwis were too sour. Information the addressee has to infer includes assignment of referents to indexical expressions
A suggestive question is one that implies that a certain answer should be given in response, [1] [2] or falsely presents a presupposition in the question as accepted fact. [3] [4] Such a question distorts the memory thereby tricking the person into answering in a specific way that might or might not be true or consistent with their actual feelings, and can be deliberate or unintentional.
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.