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Natural Language Understanding - Relations

  • 1.  Natural Language Understanding - Relations

    Posted Tue May 17, 2022 08:44 AM
    Hello there,

    We are trying to use relations to extract multiple rows from an ingested document.

    We are using a "class" entity and then multiple attributes / entities which relate to the "class" entity.

    Our class entity is "PolicyHolder" and it has multiple attributes / entities related to it e.g. First_Name, Last_Name, Mobile_Number, Address etc.

    Currently we use a single relation for relating all the entities to the PolicyHolder class e.g. "PolicyHolder_HasA" and our WKS model is at 49% F1 score for relations with around 100 documents trained of less than 250 words each.

    Would it improve our relation F1 score if we named each relation uniquely wrt the related entity / attribute e.g. for First_Name the relation could be called "PolicyHolder_First_Name" and for Last_Name perhaps "PolicyHolder_Last_Name" etc. i.e. would this allow the wks nlu model to differentiate the relations better?

    Thank you
    Alessandro


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  • 2.  RE: Natural Language Understanding - Relations

    Posted Fri September 20, 2024 10:32 AM

    Try:  Unique Relation Naming



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    Brandon Smith
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