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Martha Alice Hearst is a professor in the School of Information at the University of California, Berkeley.She did early work in corpus-based computational linguistics, including some of the first work in automating sentiment analysis, [1] and word sense disambiguation. [2]
The symbol grounding problem is a concept in the fields of artificial intelligence, cognitive science, philosophy of mind, and semantics.It addresses the challenge of connecting symbols, such as words or abstract representations, to the real-world objects or concepts they refer to.
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Statistical semantics focuses on the meanings of common words and the relations between common words, unlike text mining, which tends to focus on whole documents, document collections, or named entities (names of people, places, and organizations).
The following outline is provided as an overview of and topical guide to the principles of interpretation: Principles of interpretation – methods used to understand language and texts, primarily legal documents and sacred texts. Principles of interpretation may be used in the areas presented below...
Work at CEDAR, with Sargur Srihari as principal investigator, led to the first handwritten address interpretation system in the world. [3] CEDAR-FOX, the first system for automatic comparison of handwriting for the purpose of forensic analysis, was developed at CEDAR.
The National Imagery Interpretability Rating Scale (NIIRS) is an American subjective scale used for rating the quality of imagery acquired from various types of imaging systems. The NIIRS defines different levels of image quality/interpretability based on the types of tasks an analyst can perform with images of a given NIIRS rating.
The basic dialectica interpretation of intuitionistic logic has been extended to various stronger systems. Intuitively, the dialectica interpretation can be applied to a stronger system, as long as the dialectica interpretation of the extra principle can be witnessed by terms in the system T (or an extension of system T).