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 1):
A method comprising:\n analyzing a plurality of documents, using one or more natural language processing (NLP) models, to identify a first plurality of entities and a first plurality of details in the plurality of documents; processing the plurality of documents with the one or more NLP models to identify, for each respective entity in the first plurality of entities, one or more details in the first plurality of details that describe the respective entity, wherein a first detail is identified as describing a first entity; storing each respective entity of the first plurality of entities and the corresponding one or more details describing the respective entity in a data store; receiving a draft correspondence; determining that the draft correspondence includes a second entity and a second detail describing the second entity; determining that the second entity corresponds to the first entity, based on comparing the second entity with each of the first plurality of entities stored in the data store; and upon determining that the second detail conflicts with the first detail, generating a suggested revision for the draft correspondence, wherein the suggested revision includes the first detail.

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): 0.2618160390169194
- 35 USC 102 Novelty (BERT): 0.4609315472934673
- Combined Prediction Score: 0.2817275898445742
- Mean Citation Score: 167.466896
- Max Citation Score: 170.83151
- Similarity Product: 137.8900552771473

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