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- W1520633037 abstract "In previous work we tried to automatically annotate text with semantic assistance on words. We augmented text with short factoids about words such as cheetah can be a kind of cat. Is it here? We used WordNet (Fellbaum 1998) to retrieve synonyms (assistance is like aid), hypernyms (cheetah is a kind of cat), and antonyms (beautiful is the opposite of ugly), and focused on the low-hanging fruit of words with only one or two senses. During design, development and deployment of these automatic annotations, we uncovered a number of challenges to our automated approach. • Appropriate language. Comprehensive language resources aimed at adults may not be appropriate for children because of improper language, too-difficult words, or archaic vocabulary. • Multiple senses. We intended to skirt the problem of multiple senses by looking only at words with few senses, and presenting the remaining word sense disambiguation problem as an exercise to the reader. (In the hope that telling the difference between e.g. elephant the animal and elephant the political symbol would be easy enough to leave to the student.) Such phrases were sometimes confusing, and unfortunately the computer never gave the answer of what the correct sense for the word was in this context. • Textual context. For some words it may be fine to explain them the same way regardless of the textual context in which they appear (e.g. asparagus, aardvark). However, some uses of a word are better explained by one synonym rather than others. Even harder, a word may be best explained by analogy with a word that is not a synonym, but a functionally related word. For example, one teacher in one of the schools we work with explained the word slate in a story about frontier schools in early America as being like a chalkboard -you write on it in school. (In WordNet, slate and chalkboard are most closely related through artifact, fairly high up in the ontology.) Together, these problems led us to seek instead a computer-assisted (but human-controlled) solution." @default.
- W1520633037 created "2016-06-24" @default.
- W1520633037 creator A5062460592 @default.
- W1520633037 date "2000-07-30" @default.
- W1520633037 modified "2023-09-24" @default.
- W1520633037 title "Identifying Words to Explain to a Reader: A Preliminary Study" @default.
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