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Unsupervised Resolution of Acronyms and Abbreviations in Nursing Notes Using Document Level Context Models

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Figure

Table 2: Number of term mappings (total, unique, and ambigu-ous) extracted from medical terminology websites.
Table 3: Precision (P), recall (R), F1-score (F1), overall accu-racy (A) and disambiguation accuracy (DA) for random base-line, oracle topline, and 1-best output from initial SMT system.

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