W08-1802 limitations . Third , we evaluate passage extraction from a set of documents . We
W03-0109 presented in this paper concerns passage extraction from geographical documents .
H94-1018 as in statistically-based text passage extraction . 4 . Evaluation gauges Apart
N06-2045 and obscene pages filtered out 7 Passage Extraction Each URL for the topic was then
W09-1322 Our continuous sentence-based passage extraction method works well for our study
W00-0404 instantiation and those that rely on passage extraction . Work in the former approach
W08-1802 and phrases from a question for passage extraction and experiment with using exactly
W00-0404 their results demonstrate that passage extraction techniques are a useful first
W09-1322 work places emphasis on proper passage extraction from the document or paragraph
W14-0903 efficient algorithm for repeated passage extraction . The algorithm is suitable for
W02-1906 accordance with the kind of query . The passage extraction model that we propose ( IR-n
W02-0403 safety reports . Our rules for passage extraction rely on concept co-occurrence
W03-0109 Presentation of the GeoSem project . Passage extraction from geographical document The
E99-1011 summarization , when limited to passage extraction , can be characterized as a passage
W97-0702 approximations offered by traditional passage extraction algorithms , with certain sentence
W97-0702 instantiation and those that rely on passage extraction Work in the former framework
W97-0702 , in some sense , as a type of passage extraction , it is considerably less exposed
W97-0702 narrative this is in contrast to passage extraction methods , which typically highlight
W97-0702 into coherent prose , or as a passage extraction problem , where certain fragments
W97-0702 compared to a sentence Even in passage extraction work , no - tons of multi-word
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