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- W2166627871 abstract "The paper presents a study on large-scale automatic extraction of acronyms and associated expansions from Web data and from the user interactions with this data through Web search engines. We investigate three information sources for extracting and ranking acronym-expansion pairs, as provided by a large-scale search engine: the crawled web documents, the search engine logs, and the search results. We evaluate and compare the acronym-expansion pairs generated from these sources on three dimensions: (1) the precision and recall of each source; (2) the overlap and inclusion among the acronym-expansion sets; and (3) the rank-order correlation of the ordered expansion sets. Our results show that all three data sources play an important role in building a comprehensive up-to-date collection of acronym-expansion pairs." @default.
- W2166627871 created "2016-06-24" @default.
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- W2166627871 date "2007-08-01" @default.
- W2166627871 modified "2023-09-23" @default.
- W2166627871 title "Acronym-Expansion Recognition and Ranking on the Web" @default.
- W2166627871 cites W1933390880 @default.
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- W2166627871 doi "https://doi.org/10.1109/iri.2007.4296622" @default.
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