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Compared to the general news domain, information extraction (IE) from biomedical text requires much broader domain knowledge.
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T. Tran and Ramakanth Kavuluru. 2019 · 1905
Earlier work this paper cites.
Prior knowledge activation and the comprehension of compatible and incompatible text
D. Alvermann, L. Smith, and J. Readence. 1985 · 1985
Earlier work this paper cites.
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Dmitry Zelenko, Chinatsu Aone, and Anthony Richardella. 2002 · 2002
Earlier work this paper cites.
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Earlier work this paper cites.
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Earlier work this paper cites.
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Earlier work this paper cites.
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Earlier work this paper cites.
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Earlier work this paper cites.
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Earlier work this paper cites.
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Earlier work this paper cites.
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Earlier work this paper cites.
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Earlier work this paper cites.
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Earlier work this paper cites.
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Earlier work this paper cites.
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Earlier work this paper cites.
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Earlier work this paper cites.
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Earlier work this paper cites.
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Earlier work this paper cites.
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Earlier work this paper cites.
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Earlier work this paper cites.
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Earlier work this paper cites.
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Later among the works it cites.
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