PATENT CLAIM ANALYSIS

Application Number: 15756108
Application Type: Utility
Filing Date: 2018-02
Publication Date: 2018-08
Patent Classification: ["706", "055000"]

Abstract:
A learning means  71  learns, based on learning data containing the meaning of a column in a table and the meaning of the table, a model indicating regularity between the meaning of the column in the table and the meaning of the table. An estimation means  72  estimates the meaning of the table based on the meaning of a column of a table to be input and the model.

Claim (Index 4):
The table-meaning estimation system according to  claim 3 , wherein\n the display control unit accepts, when accepting the input indicating that the displayed meaning of the table is not appropriate from the user, input of the meaning of the table from the user, the learning-data addition unit adds, when the input indicating that the meaning of the table is appropriate is performed, a combination of the table and the meaning of the table displayed by the display control unit to existing learning data as the learning data, and adds, when the input indicating that the meaning of the table is not appropriate is performed, a combination of the table and the meaning of the table accepted by the display control unit from the user to the existing learning data as the learning data, and the learning unit learns, when the learning data is added, a model again using the existing learning data and the added learning data.

Metadata:
- Claim Count in Document: 9.0
- Percentile: 88.0
- Lexical Diversity: 2.43333
- Patent Class: 706.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: True
- Related Applications: ['12829984', '15618383', '15562542', '15902560', '15345876']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.3381318559859221
- 35 USC 102 Novelty (BERT): 0.4960537928894278
- Combined Prediction Score: 0.3539240496762726
- Mean Citation Score: 152.316716
- Max Citation Score: 156.08109
- Similarity Product: 96.15180260535836

Labels:
- Claim Label 101: 0
- Claim Label 102: 1
- Claim Label 103: 0
- Claim Label 112: 1
- Combined Label: 0
- Label 101 Adjusted: 0

Dataset: test