Mike O'Leary wrote:
I am working on a project with team that is developing a named entity
recognizer. I need to configure Lucene indexing so that it indexes the
individual words in the text that the named entity recognizer outputs as
well as the phrases that it marks. For example, in a string like
<BODY>"The population of <CITY>New York City</CITY> is not as large as that
of <CITY>Mexico City</CITY>."</BODY>
I would want to index the words "New", "York" and "City" and "Mexico" and
"City" as well as the phrases "New York City" and "Mexico City", along with
the other non-stopwords in the string in a field labeled "BODY". Would it be
better to write an Analyzer that can do this, or to adjust the XML parser
that I am using so that it adds the text within tag pairs like <CITY> and
</CITY> to the field that corresponds to the tag that is one level up. If it
is better to write an Analyzer, could someone point me to information on how
to do this? Thanks.
Please take a look at the analyzer implementation that Nutch uses
(org.apache.nutch.analysis.NutchDocumentAnalyzer), which uses
CommonGrams to detect which tokens need to be output as phrases. In your
case you already know what are the phrases you want to output as tokens,
but the idea is still the same - the original token stream is modified
to output both individual terms and phrases.
--
Best regards,
Andrzej Bialecki <><
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