W98-1122 . In Section 2 , we review the phrase acquisition algorithm presented in ( Riccardi
P86-1017 Conceptual Representation The key for phrase acquisition is appropriate conceptual representation
C86-1059 not be done manually . Thus , phrase acquisition must be employed to construct
C86-1059 not be done manually . Thus , phrase acquisition must be employed to construct
J87-1020 can not be done manually . Thus phrase acquisition must be employed to construct
W98-1122 transformed corpus is input to the phrase acquisition process . Figure 4 shows interesting
W98-1122 phrases that are formed after the phrase acquisition process . Table 2 shows the result
P86-1017 tractible . In the process of phrase acquisition , phrase meaning is elevated
W98-1122 novel approach for combining the phrase acquisition with class construction process
W06-1613 for guideline development or cue phrase acquisition ) . The 116 articles contain
P86-1017 acquired from examples in context . Phrase acquisition from context raises questions
W98-1122 system ( see Section 5 ) . The phrase acquisition method is a greedy algorithm
N12-1036 , we exploit Cst for bilingual phrase acquisition , rather than a manual dictionary
E12-2004 , we exploit Cst for bilingual phrase acquisition , rather than a manual dictionary
W98-1122 two sub-problems , namely the phrase acquisition and feature selection . The phrase
W98-1122 3 , we discuss our approach to phrase acquisition and clustering respectively .
W98-1122 The algorithm integrating the phrase acquisition and clustering processes is presented
W98-1122 acquisition and feature selection . The phrase acquisition is based on entropy minimization
P86-1017 as part of a phrase meaning . Phrase Acquisition Phrase meanings are learned from
W98-1122 present our approach to integrating phrase acquisition and clustering and our technique
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