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NLQ should not search numeric fields that specify e.g. offset of entity within text

The json document https://ibm.box.com/s/32mis3zwbzk3t913wdrbmcl30i3at129 ingested into WDS ends up with this out of the box NLU detected "Jobtitle" entity, with location offset ending at 2016:

    {
                        "count": 2,
                        "text": "program manager",
                        "mentions": [
                            {
                                "text": "program manager",
                                "location": [
                                    139,
                                    154
                                ]
                            },
                            {
                                "text": "program manager",
                                "location": [
                                    2001,
                                    2016
                                ]
                            }
                        ],
                        "relevance": 0.495976,
                        "type": "JobTitle"
                    },

 

When I issue the NLQ query  "2016" thinking that NLQ will only search ALL TEXT FIELDS, this document is returned. No other mentions of 2016 is in the document.

Enhancement request is that WDS NLQ not search fields that do not represent CONTENT of the document. An numerical offset does not reflect the contents of the document and is causing false positives in search results.

  • Guest
  • May 13 2019
  • Future Consideration
Why is it useful?
Who would benefit from this IDEA? All customers, but this is an issue that was discovered with Project Daisey
How should it work?
Idea Priority
Priority Justification
Customer Name
Submitting Organization
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