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JDM
2006
96views more  JDM 2006»
14 years 9 months ago
Preparing Clinical Text for Use in Biomedical Research
Approximately 57 different types of clinical annotations construct a patient's medical record. The annotations include radiology reports, discharge summaries, and surgical an...
John Pestian, Lukasz Itert, Charlotte Anderson, Wl...
65
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IPM
2007
86views more  IPM 2007»
14 years 9 months ago
Document concept lattice for text understanding and summarization
We argue that the quality of a summary can be evaluated based on how many concepts in the original document(s) that reserved after summarization. Here, a concept refers to an abst...
Shiren Ye, Tat-Seng Chua, Min-Yen Kan, Long Qiu
AI
2008
Springer
15 years 3 months ago
Verbs Speak Loud: Verb Categories in Learning Polarity and Strength of Opinions
In this work we show that verbs reliably represent texts when machine learning algorithms are used to learn opinions. We identify semantic verb categories that capture essential pr...
Marina Sokolova, Guy Lapalme
CORR
2010
Springer
67views Education» more  CORR 2010»
14 years 9 months ago
From Frequency to Meaning: Vector Space Models of Semantics
Computers understand very little of the meaning of human language. This profoundly limits our ability to give instructions to computers, the ability of computers to explain their ...
Peter D. Turney, Patrick Pantel
SEMCO
2009
IEEE
15 years 4 months ago
LAIR: A Language for Automated Semantics-Aware Text Sanitization Based on Frame Semantics
—We present LAIR: A domain-specific language that enables users to specify actions to be taken upon meeting specific semantic frames in a text, in particular to rephrase and re...
Steffen Hedegaard, Søren Houen, Jakob Grue ...