AIIM Journal 2010 Journal Article
Semantic relations for problem-oriented medical records
- Ozlem Uzuner
- Jonathan Mailoa
- Russell Ryan
- Tawanda Sibanda
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AIIM Journal 2010 Journal Article
AAAI Conference 2005 Conference Paper
Recognizing similarities between literary works for copyright infringement detection requires evaluating similarity in the expression of content. Copyright law protects expression of content; similarities in content alone are not enough to indicate infringement. Expression refers to the way people convey particular information; it captures both the information and the manner of its presentation. In this paper, we present a novel set of linguistically informed features that provide a computational definition of expression and that enable accurate recognition of individual titles and their paraphrases more than 80% of the time. In comparison, baseline features, e. g. , tfidf-weighted keywords, function words, etc. , give an accuracy of at most 53%. Our computational definition of expression uses linguistic features that are extracted from POS-tagged text using context-free grammars, without incurring the computational cost of full parsers. The results indicate that informative linguistic features do not have to be computationally prohibitively expensive to extract.
AAAI Conference 1999 Short Paper
Despite their increasing importance as data retrieval tools, most Information Retrieval (IR) systems are deficient in precision and recall. Lack of disambiguation power is one reason for the poor performance of these systems. Correctly disambiguating and expanding a query with intended synonyms before retrieval may improve the performance. We use the local context of a word to identify its sense. In our case, the local context of a word is the ordered list of words from the closest content word on each side of the target word up to the target word which is expressed as a placeholder.