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1
A Framework to Evaluate Webpage Segment Recognizers:
, In:
Proceedings of the ACM Symposium on Document Engineering 2020
,
Di Matteo, Nicola R.
;
Blustein, James
- p. 1-4 , 2020
Link:
https://dl.acm.org/doi/10.1145/3395027.3419587
RT T1 <cTitle>Proceedings of the ACM Symposium on Document Engineering 2020</cTitle>: T1 <Title>A Framework to Evaluate Webpage Segment Recognizers</Title> UL https://suche.suub.uni-bremen.de/peid=acm-3419587&Exemplar=1&LAN=DE A1 Di Matteo, Nicola R. A1 Blustein, James PB ACM YR 2020 K1 Information systems K1 Information retrieval K1 Document representation K1 Content analysis and feature selection K1 Retrieval tasks and goals K1 Information extraction K1 Evaluation of retrieval results K1 Retrieval efficiency K1 Retrieval models and ranking K1 Similarity measures K1 Retrieval effectiveness K1 Document structure SP 1 OP 4 LK http://dx.doi.org/https://dl.acm.org/doi/10.1145/3395027.3419587 DO https://dl.acm.org/doi/10.1145/3395027.3419587 SF ELIB - SuUB Bremen
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