PATENT CLAIM ANALYSIS

Application Number: 15912483
Application Type: Utility
Filing Date: 2018-03
Publication Date: 2018-07
Patent Classification: ["715", "255000"]

Abstract:
A method performed at a server system having one or more processors and memory storing one or more programs executed by the one or more processors is described. The method includes receiving from a respective client system a subset of a document displayed at the respective client system. The method also includes identifying one or more words in the received subset of the document, and sending to the respective client system one or more information items corresponding to the one or more words. The method includes receiving a selection of an information item in the one or more information items. The selection is made by a user associated with the respective client system. The method furthermore includes modifying the document by inserting a citation to the selected information item.

Claim (Index 20):
The non-transitory computer readable storage medium of  claim 19 , wherein the set of predefined client system conditions for receiving the subset of the document by the computer system includes at least one of: a change in cursor position to a new section of the document, entry of a threshold amount of new text or revised text, and a change in text formatting.

Metadata:
- Claim Count in Document: 50.0
- Percentile: 90.0
- Lexical Diversity: 2.47273
- Patent Class: 715.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['13776599', '12413776', '12035541', '12820080', '11698583']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.3411003476464426
- 35 USC 102 Novelty (BERT): 0.5243500158046379
- Combined Prediction Score: 0.3594253144622621
- Mean Citation Score: 221.58937000000003
- Max Citation Score: 355.01633
- Similarity Product: 274.71130306887744

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