PATENT CLAIM ANALYSIS

Application Number: 15938307
Application Type: Utility
Filing Date: 2018-03
Publication Date: 2019-09
Patent Classification: ["704", "257000"]

Abstract:
Systems and methods for extracting facts from natural language texts. An example method of information extraction comprises extracting, from a natural language text, a first plurality of information objects; extracting, from the natural language text, a second plurality of information objects; identifying a set of conflicting information objects, such that a first information object of the set of conflicting information objects belongs to the first plurality of information objects and a second information object of the set of conflicting information objects belongs to the second plurality of information objects; and producing a final list of information objects extracted from the natural language text, by applying, to the set of conflicting information objects, a conflict arbitration function which performs at least one of: modifying the first information object, deleting the first information object, or merging two or more information objects of the set of conflicting information objects.

Claim (Index 13):
The method of  claim 1 , further comprising:\n accepting a user input validating the first plurality of information objects to produce a training data set; appending, to a training data set, the natural language text accompanied by metadata comprising definitions and textual annotations of one or more information objects of the first plurality of information objects; training, utilizing the training data set, the machine learning classifier utilized for information extraction.

Metadata:
- Claim Count in Document: 16.0
- Percentile: 90.0
- Lexical Diversity: 2.89286
- Patent Class: 704.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: True
- Related Applications: ['15168499', '15852765', '15157722', '15237954', '15157760']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.2980771759416045
- 35 USC 102 Novelty (BERT): 0.5099261072998303
- Combined Prediction Score: 0.319262069077427
- Mean Citation Score: 278.065056
- Max Citation Score: 296.97293
- Similarity Product: 209.79142421541687

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