Hi Monath,

I'm sorry to bother you! I'm a beginner trying to learn your disambiguation program, and I notice that in the code \pv\disambiguation\assignee\run_clustering.py, there is a missing input 'data/assignee/permid/permid_vectorizer.pkl'. This input was further used in the model.py:

    name_tfidf = SKLearnVectorizerFeatures(**flgs.assignee_name_model**,
                                           'name_tfidf',
                                           lambda x: clean(split(x.normalized_most_frequent)))

Would you mind sharing this file? or would you mind describing this file. I'm sorry if my question is a little bit naive. Thank you so much for your help!

Best,
Mark

Hi Monath,

Sorry to bother you again!!

I was trying to learn from your program. I checked your presentation slides at the USPTO Symposium, where you mentioined that "The assignee model is based on a tf-idf character n-gram string similarity model that uses data from PermID."

Just to confirm, the program uses the location and name spelling similarity to compute the similarity, right? I make that inference because the program encodes three features, where the locations and name_tfidf are used for computing the similarity, and entity_kb_feat is used as constraint.

    triples = [(locations, FeatCalc.DOT, CentroidType.NORMED, False, False),
               (entity_kb_feat, FeatCalc.NO_MATCH, CentroidType.BINARY, False, True),
               (name_tfidf, FeatCalc.DOT, CentroidType.NORMED, False, False)]

Thank you so much!! I'm sorry for bothering you again!

Best,
Mark

I was wondering what should go into the following three arguments mentioned in the config/database_config.ini.

[DATABASE]

host =
username =
password =

Hi Monath,

I want to run the build for the assignee data but I don't understand how the sqlite database should be prepared and where to get the raw data from. I'd really appreciate your help.

I think you have developed a state of the art corporate name disambiguation/harmonization engine and that is pretty exciting. This could be very helpful for many research topics within finance. Have you thought about creating a python package or a notebook/documentation that can give researchers a foothold in using the software including the recent updates you have made. https://github.com/PatentsView/PatentsView-Disambiguation/tree/main/pv/disambiguation/assignee

Cheers,
Derek