P07-3015 advantage of using the proposed lexical chaining algorithm ( LCA ) . It extracts text summaries
N13-1119 major issue in developing a new lexical chaining algorithm is the comparison to previous
D13-1163 cohesion through the text . Several lexical chaining algorithms have been proposed to compute
N13-1119 . We are not aware of previous lexical chaining algorithms that do not rely on a lexicographic
W06-0205 example below illustrates our Lexical Chain algorithm . Let 's consider that a node
P07-3015 the baseline approach BL and the lexical chain algorithm LCA . The agreement between humans
J02-4004 computational complexity of previous lexical chains algorithms . 1 . Introduction The overall
W06-0205 Summarization . How - ever , until now , Lexical Chaining algorithms have only been proposed for English
W00-1438 using word frequencies , and our lexical chains algorithm generally captures the same type
W06-0205 algorithm . 4.2.3 Example of the Lexical Chain algorithm The example below illustrates
D13-1163 disambiguation on the source side in our lexical chaining algorithm ( See Section 4.1 ) . 3 Background
J10-3005 processed using the centering and lexical chain algorithms described earlier . In each sentence
W02-1814 categories separately . The general lexical chaining algorithm is given in detail in Chua and
P07-1124 graph structure . Unlike most lexical chaining algorithms , not all WordNet relations are
W06-0205 Barzilay and Elhadad , 1997 ) lexical chaining algorithm . In particular , ( Sil - ber
W00-1438 important sentences determined by our lexical chains algorithm as a basis for a generation system
J02-4004 corpus was analyzed by running our lexical chain algorithm and collecting the overriding
W06-0205 comes from the efficiency of the lexical chaining algorithm or from the appropriateness of
W00-1438 system . Our intent is to use the lexical chains algorithm to determine what to summarize
C04-1162 related method is perhaps the lexical chains algorithm ( Morris and Hirst , 1991 ) where
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