How can a field itself be tagged with a part of speech?

-- 
Audrey Lorberfeld
Data Scientist, w3 Search
IBM
audrey.lorberf...@ibm.com
 

On 10/25/19, 12:12 PM, "David Hastings" <hastings.recurs...@gmail.com> wrote:

    nope, i boost the fields already tagged at query time against teh query
    
    On Fri, Oct 25, 2019 at 12:11 PM Audrey Lorberfeld -
    audrey.lorberf...@ibm.com <audrey.lorberf...@ibm.com> wrote:
    
    > So then you do run your POS tagger at query-time, Dave?
    >
    > --
    > Audrey Lorberfeld
    > Data Scientist, w3 Search
    > IBM
    > audrey.lorberf...@ibm.com
    >
    >
    > On 10/25/19, 12:06 PM, "David Hastings" <hastings.recurs...@gmail.com>
    > wrote:
    >
    >     I use them for query boosting, so if someone searches for:
    >
    >     i dont want to rush limbaugh out the door
    >     vs
    >     i talked to rush limbaugh through the door
    >
    >     my documents where 'rush limbaugh' is a known entity (noun) and a
    > person
    >     (look at the sentence, its obviously a person and the nlp finds that)
    > have
    >     'rush limbaugh' stored in a field, which is boosted on queries.  this
    > makes
    >     sure results from the second query with him as a person will be 
boosted
    >     above those from the first query
    >
    >
    >
    >
    >
    >
    >
    >
    >
    >
    >
    >
    >     On Fri, Oct 25, 2019 at 11:57 AM Nicolas Paris <
    > nicolas.pa...@riseup.net>
    >     wrote:
    >
    >     > Also we are using stanford POS tagger for french. The processing
    > time is
    >     > mitigated by the spark-corenlp package which distribute the process
    > over
    >     > multiple node.
    >     >
    >     > Also I am interesting in the way you use POS information within solr
    >     > queries, or solr fields.
    >     >
    >     > Thanks,
    >     > On Fri, Oct 25, 2019 at 10:42:43AM -0400, David Hastings wrote:
    >     > > ah, yeah its not the fastest but it proved to be the best for my
    >     > purposes,
    >     > > I use it to pre-process data before indexing, to apply more
    > metadata to
    >     > the
    >     > > documents in a separate field(s)
    >     > >
    >     > > On Fri, Oct 25, 2019 at 10:40 AM Audrey Lorberfeld -
    >     > > audrey.lorberf...@ibm.com <audrey.lorberf...@ibm.com> wrote:
    >     > >
    >     > > > No, I meant for part-of-speech tagging __ But that's interesting
    > that
    >     > you
    >     > > > use StanfordNLP. I've read that it's very slow, so we are
    > concerned
    >     > that it
    >     > > > might not work for us at query-time. Do you use it at
    > query-time, or
    >     > just
    >     > > > index-time?
    >     > > >
    >     > > > --
    >     > > > Audrey Lorberfeld
    >     > > > Data Scientist, w3 Search
    >     > > > IBM
    >     > > > audrey.lorberf...@ibm.com
    >     > > >
    >     > > >
    >     > > > On 10/25/19, 10:30 AM, "David Hastings" <
    > hastings.recurs...@gmail.com
    >     > >
    >     > > > wrote:
    >     > > >
    >     > > >     Do you mean for entity extraction?
    >     > > >     I make a LOT of use from the stanford nlp project, and get
    > out the
    >     > > > entities
    >     > > >     and use them for different purposes in solr
    >     > > >     -Dave
    >     > > >
    >     > > >     On Fri, Oct 25, 2019 at 10:16 AM Audrey Lorberfeld -
    >     > > >     audrey.lorberf...@ibm.com <audrey.lorberf...@ibm.com> wrote:
    >     > > >
    >     > > >     > Hi All,
    >     > > >     >
    >     > > >     > Does anyone use a POS tagger with their Solr instance
    > other than
    >     > > >     > OpenNLP’s? We are considering OpenNLP, SpaCy, and Watson.
    >     > > >     >
    >     > > >     > Thanks!
    >     > > >     >
    >     > > >     > --
    >     > > >     > Audrey Lorberfeld
    >     > > >     > Data Scientist, w3 Search
    >     > > >     > IBM
    >     > > >     > audrey.lorberf...@ibm.com
    >     > > >     >
    >     > > >     >
    >     > > >
    >     > > >
    >     > > >
    >     >
    >     > --
    >     > nicolas
    >     >
    >
    >
    >
    

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