Consider we have this text
In July, a company tied to Evan Spiegel, the co-founder and CEO of Snap, closed on the $119.868 million purchase of a Holmby Hills estate in Los Angeles, according to property records and people familiar with the situation. \n\n\n'
We run this through an NER model and get back the indexes of the string where we can highlight specific portions of the string with ids. So we know, for example that from index 141:152 is "Los Angeles" which is a Location. So instead of having to string concatenate the final output, create an output where you can take in string index as well as ids and annotate them as such.
You can recreate this result using Clarifai's NER model listed here.
Consider we have this text
In July, a company tied to Evan Spiegel, the co-founder and CEO of Snap, closed on the $119.868 million purchase of a Holmby Hills estate in Los Angeles, according to property records and people familiar with the situation. \n\n\n'
We run this through an NER model and get back the indexes of the string where we can highlight specific portions of the string with ids. So we know, for example that from index 141:152 is "Los Angeles" which is a Location. So instead of having to string concatenate the final output, create an output where you can take in string index as well as ids and annotate them as such.
You can recreate this result using Clarifai's NER model listed here.