tech,2-1-N03-2025,ak <term> alignment quality </term> . A novel <term> bootstrapping approach </term> to <term> Named Entity ( NE ) tagging
tech,5-1-N03-2025,ak <term> bootstrapping approach </term> to <term> Named Entity ( NE ) tagging </term> using <term> concept-based seeds </term>
model,12-1-N03-2025,ak Entity ( NE ) tagging </term> using <term> concept-based seeds </term> and <term> successive learners </term>
tech,15-1-N03-2025,ak <term> concept-based seeds </term> and <term> successive learners </term> is presented . This approach only
model,7-2-N03-2025,ak approach only requires a few common <term> noun or pronoun seeds </term> that correspond to the <term> concept
other,15-2-N03-2025,ak seeds </term> that correspond to the <term> concept </term> for the targeted <term> NE </term> ,
other,19-2-N03-2025,ak <term> concept </term> for the targeted <term> NE </term> , e.g. he/she/man / woman for <term>
other,26-2-N03-2025,ak </term> , e.g. he/she/man / woman for <term> PERSON NE </term> . The <term> bootstrapping procedure
tech,1-3-N03-2025,ak woman for <term> PERSON NE </term> . The <term> bootstrapping procedure </term> is implemented as training two <term>
tech,8-3-N03-2025,ak </term> is implemented as training two <term> successive learners </term> . First , <term> decision list </term>
tech,2-4-N03-2025,ak successive learners </term> . First , <term> decision list </term> is used to learn the <term> parsing-based
model,9-4-N03-2025,ak decision list </term> is used to learn the <term> parsing-based NE rules </term> . Then , a <term> Hidden Markov Model
tech,3-5-N03-2025,ak parsing-based NE rules </term> . Then , a <term> Hidden Markov Model </term> is trained on a <term> corpus </term>
lr,10-5-N03-2025,ak Markov Model </term> is trained on a <term> corpus </term> automatically tagged by the first
tech,16-5-N03-2025,ak </term> automatically tagged by the first <term> learner </term> . The resulting <term> NE system </term>
tech,2-6-N03-2025,ak <term> learner </term> . The resulting <term> NE system </term> approaches <term> supervised NE performance
measure(ment),5-6-N03-2025,ak resulting <term> NE system </term> approaches <term> supervised NE performance </term> for some <term> NE types </term> . In
other,10-6-N03-2025,ak supervised NE performance </term> for some <term> NE types </term> . In this paper , we describe a <term>
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