Natural language processing on semi-structured data
Techniques for performing natural language processing (NLP) on semi-structured data are described. An exemplary method includes receiving a semi-structured document to perform NLP on using a trained NLP model; converting the semi-structured document into a secondary format, wherein the secondary for...
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| creator | Pushkin, Yahor Horwood, Graham Vintcent Chowdhury, Aruni Roy Marcheggiani, Diego Xie, Yusheng Zhu, Xuan Zhou, Liutong Vyas, Yogarshi Paritosh Zarandioon, Saman Ballesteros Martinez, Miguel Pang, Bo Al-Onaizan, Yaser Mallya Kasaragod, Sunil Zhang, Yinxiao |
| description | Techniques for performing natural language processing (NLP) on semi-structured data are described. An exemplary method includes receiving a semi-structured document to perform NLP on using a trained NLP model; converting the semi-structured document into a secondary format, wherein the secondary format includes spatial information for tokens of the semi-structured document; flattening the converted, secondary formatted semi-structured document into a Unicode Transformation Format text file; performing NLP on the Unicode Transformation Format text file using the trained NLP model; and providing a result of the NLP to a requester. |
| format | Patent |
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| subjects | CALCULATING COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS COMPUTING COUNTING ELECTRIC DIGITAL DATA PROCESSING PHYSICS |
| title | Natural language processing on semi-structured data |
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