PATENT CLAIM ANALYSIS

Application Number: 16050718
Application Type: Utility
Filing Date: 2018-07
Publication Date: 2018-11
Patent Classification: ["715", "256000"]

Abstract:
Methods, systems and computer program products for implementing a mere-parser are disclosed. Text data is processed to generate one or more parse items. A boundary based attribute associated with one of the parse items is identified, and the identified mere attribute is associated with one or more of the remaining parse items that is not blocked from associated with the boundary based attribute.

Claim (Index 8):
A computer-implemented mere-parser system comprising:\n a semantic test application configured to test a semantic goodness of a merged semantic match; a semantic data storage configured to store semantic data received from the semantic test application; and a source data analysis unit comprising a mere-parser application configured to normalize source data, wherein the mere-parser application comprises a parse item bounding system that comprises instructions that when executed cause a processor to:\n normalize formatting of the source data; \n perform morphological processing on the source data; \n normalize special phrases of the source data; \n identify boundaries and form parse items from the source data; and \n identify propagating attributes of the source data.

Metadata:
- Claim Count in Document: 32.0
- Percentile: 95.0
- Lexical Diversity: 1.7
- Patent Class: 715.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['14713672', '13016764', '11735278', '09364930', '12348750']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.2963207943337848
- 35 USC 102 Novelty (BERT): 0.5149455339172558
- Combined Prediction Score: 0.3181832682921319
- Mean Citation Score: 253.87037400000003
- Max Citation Score: 333.81808
- Similarity Product: 330.81164686652187

Labels:
- Claim Label 101: 1
- Claim Label 102: 1
- Claim Label 103: 1
- Claim Label 112: 1
- Combined Label: 1
- Label 101 Adjusted: 1

Dataset: test