PATENT CLAIM ANALYSIS

Application Number: 16051555
Application Type: Utility
Filing Date: 2018-08
Publication Date: 2019-02
Patent Classification: ["704", "231000"]

Abstract:
In information conversion, a subjective similarity with target information is increased. A method for learning a conversion model is disclosed and includes performing a conversion process of converting conversion source information to post conversion information using the conversion model; performing a first comparison process of comparing the post conversion information with target information to calculate a first distance; performing a similarity score estimation process of using an evaluation model to calculate a similarity score with the target information from the post conversion information; performing a second comparison process of calculating a second distance from the similarity score; and performing a conversion model learning process of learning the conversion model using the first distance and the second distance as evaluation indices.

Claim (Index 3):
The method for learning the conversion model according to  claim 2 ,\n wherein the multiple evaluation information items are multiple information items obtained by performing multiple types of conversion processes on the objective information.

Metadata:
- Claim Count in Document: 26.0
- Percentile: 96.0
- Lexical Diversity: 2.88636
- Patent Class: 704.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: True
- Related Applications: ['12240148', '12318494', '16079383', '12017740', '13039467']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.2748419099959236
- 35 USC 102 Novelty (BERT): 0.4974809470726685
- Combined Prediction Score: 0.2971058137035981
- Mean Citation Score: 173.197588
- Max Citation Score: 178.80501999999996
- Similarity Product: 106.94838863364694

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

Dataset: test