PATENT CLAIM ANALYSIS

Application Number: 16018189
Application Type: Utility
Filing Date: 2018-06
Publication Date: 2019-12
Patent Classification: ["704", "009000"]

Abstract:
Improved techniques for proactive identification of errors are provided. Documents are analyzed, using natural language processing (NLP) models, to identify entities in the documents. The documents are processed with the NLP models to identify relationships among the entities, and each of the entities is stored in a data store, where the data store further includes an indication of the identified relationships among the entities. A draft correspondence is received, and it is determined that the draft correspondence includes a first entity and a second entity, where the first entity and the second entity have a first relationship. Upon determining that the first relationship conflicts with at least one of the relationships stored in the data store, a suggested revision for the draft correspondence is generated.

Claim (Index 6):
The method of  claim 5 , the method further comprising, for each respective entity of the second plurality of entities that is contained in the data store:\n storing the corresponding one or more details in the second plurality of details associated with the respective entity in the data store.

Metadata:
- Claim Count in Document: 32.0
- Percentile: 94.0
- Lexical Diversity: 2.10606
- Patent Class: 704.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['15331654', '15331650', '15331675', '14243503', '14638264']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.2529772864468759
- 35 USC 102 Novelty (BERT): 0.5050367574130069
- Combined Prediction Score: 0.278183233543489
- Mean Citation Score: 167.466896
- Max Citation Score: 170.83151
- Similarity Product: 89.57190576421024

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

Dataset: test