Yeah. My mistake in explanation. But it really does help with better relevance in the returned documents
> On Oct 25, 2019, at 12:39 PM, Audrey Lorberfeld - audrey.lorberf...@ibm.com > <audrey.lorberf...@ibm.com> wrote: > > Oh I see I see > > -- > Audrey Lorberfeld > Data Scientist, w3 Search > IBM > audrey.lorberf...@ibm.com > > > On 10/25/19, 12:21 PM, "David Hastings" <hastings.recurs...@gmail.com> wrote: > > oh i see what you mean, sorry, i explained it incorrectly. > those sentences are what would be in the index, and a general search for > 'rush limbaugh' would come back with results where he is an entity higher > than if it was two words in a sentence > > On Fri, Oct 25, 2019 at 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 >>>> >>> >>> >>> > >
