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The first step for extracting relations between entities from web pages is to define which are our entities.
Events that referred to entities that could not be mapped to our entities were not included.
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In addition, we present an empirical evaluation of our entity-based approach used to cluster web pages.
"Our goal," Walker says, "is to break even on an operating basis in Year 3 of our entity -- which is ambitious, given where we're coming from".
Cross-domain ML will further refine (increase precision and recall) our entity extractors, by perfecting its rules and expanding the entity seed for the two involved categories.
Our entity modification process comprises the following steps: Entities are extended until one of the following is reached: whitespace, a mismatched bracket or a non-chemical English word/noise word.
The steps we used were (1) we built a rule-based independent extractor for each of the two entities; (2) we used our entity extractors on a set of 52,000 documents and created a highly reliable entity types seed, which can be used for training other ML-based entity extraction systems; (3) we measured the precision of our extraction systems and were very satisfied with the results.
Our entity-to-text and entity-to-entity services serve data from the same triplestore providing the SPARQL interface.
We evaluated the performance of our entity recognizer using 10-fold cross-validation.
We tested the BioSQL schema, but it did not precisely fit to our needs, mainly because our annotation entities refer to three other entities (qualifying note n, object o and the annotation method m).
"This helps to explain why our financial entities have not gone bankrupt," he said.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com