Unsupervised learning of paraphrase/translation alternations and selective application thereof
First Claim
1. A computer-readable medium having computer-executable instructions for performing steps comprising:
- identifying from a collection of data a plurality of patterns that represent paraphrase alternations; and
ranking the plurality of patterns based on frequency of occurrence within the data set.
2 Assignments
0 Petitions
Accused Products
Abstract
A system is disclosed for selectively applying a paraphrase alternation pattern to a textual input. The system includes a pattern identification component for processing a collection of data and identifying a plurality of potentially applicable paraphrase alternation patterns. A context model provides an objective frame of reference in which to compare one or more of the plurality of potentially applicable paraphrase alternation patterns to the textual input to determine whether the pattern can be applied without changing meaning. A language model provides a principled basis for determining the boundaries of the text segment to be modified.
289 Citations
32 Claims
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1. A computer-readable medium having computer-executable instructions for performing steps comprising:
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identifying from a collection of data a plurality of patterns that represent paraphrase alternations; and
ranking the plurality of patterns based on frequency of occurrence within the data set. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16)
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17. A computer implemented method of selectively applying a paraphrase alternation pattern to a textual input, comprising:
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identifying a plurality of potentially applicable paraphrase alternation patterns;
identifying from said plurality at least one applicable paraphrase alternation pattern; and
applying a context model to determine whether the applicable paraphrase alternation pattern can be applied to the textual input so as to preserve meaning. - View Dependent Claims (18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29)
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30. A system for selectively applying a paraphrase alternation pattern to a textual input, comprising:
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a pattern identification component for processing a collection of data and identifying a plurality of potentially applicable paraphrase transition patterns; and
a context model that provides an objective frame of reference in which to compare at least a first one of the plurality of potentially applicable paraphrase transition patterns to the textual input to determine whether the pattern can be applied so as to preserve meaning. - View Dependent Claims (31, 32)
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Specification