| customizable <term> IE paradigm </term> that takes | advantage | of <term> predicate-argument structures </term> | #3724 In this paper we present a novel, customizable IE paradigm that takes advantage of predicate-argument structures. | |
| narrow further to 6.5 % if we disregard the | advantage | that <term> manually sense-tagged data </term> | #4904 On a subset of the most difficult SENSEVAL-2 nouns, the accuracy difference between the two approaches is only 14.0%, and the difference could narrow further to 6.5% if we disregard the advantage that manually sense-tagged data have in their sense coverage. | |
| a <term> lemma-based approach </term> . The | advantage | of this novel method is that it clusters | #6025 The advantage of this novel method is that it clusters all inflected forms of an ambiguous word in one classifier, therefore augmenting the training material available to the algorithm. | |
| Text Summarisation </term> . Our method takes | advantage | of the different way in which <term> word | #6961 Our method takes advantage of the different way in which word senses are lexicalised in English and Chinese, and also exploits the large amount of Chinese text available in corpora and on the Web. | |
| <term> boosting approach </term> which takes | advantage | of the <term> sparsity of the feature space | #8874 The article also introduces a new algorithm for the boosting approach which takes advantage of the sparsity of the feature space in the parsing data. | |
| styles in a single system in order to take | advantage | of the strengths of each . Applications | #12178 A method is described of combining the two styles in a single system in order to take advantage of the strengths of each. | |
| isomorphic derivations </term> . The principle | advantage | of this approach is that knowledge concerning | #15065 The principle advantage of this approach is that knowledge concerning translation equivalence of expressions may be directly exploited, obviating the need for answers to semantic questions that we do not yet have. | |
| which we call <term> HBG </term> , that takes | advantage | of detailed <term> linguistic information | #18910 We describe a generative probabilistic model of natural language, which we call HBG, that takes advantage of detailed linguistic information to resolve ambiguity. | |
| <term> syntactic structure </term> by taking | advantage | of the <term> symmetric patterns </term> of | #19806 This paper presents an English coordinate structure analysis model, which provides top-down scope information of the correct syntactic structure by taking advantage of the symmetric patterns of the parallelism. |
