PATENT CLAIM ANALYSIS

Application Number: 16012286
Application Type: Utility
Filing Date: 2018-06
Publication Date: 2018-10
Patent Classification: ["715", "231000"]

Abstract:
Information extraction and annotation systems and methods for use in annotating and determining annotation instances are provided herein. Exemplary methods include receiving training documents having annotated words, identifying a predetermined number of characters preceding and following each annotated word for each of the training documents to determine a context for each of the annotated words, performing an alignment of an annotated word and its context with characters in the target document, identifying common sequences, and assigning annotations to words in the target document when common sequences are found.

Claim (Index 5):
The method according to  claim 1 , further comprising:\n for each annotated word, determining a distance between the annotated word and one or more document features; calculating an averaged location for each annotated word, the averaged location defining an averaged placement of the annotated word within a training document; identifying matches between the distance and averaged location of words of the target document and the distances and averaged location of at least one of the annotated words of the training documents; and assigning an annotation to a word of the target document that matches the at least one of the annotated words of the training documents.

Metadata:
- Claim Count in Document: 8.0
- Percentile: 94.0
- Lexical Diversity: 1.80769
- Patent Class: 715.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['14543821', '13948069', '14452484', '15975511', '13865996']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.3569123756669486
- 35 USC 102 Novelty (BERT): 0.5902542921222022
- Combined Prediction Score: 0.3802465673124739
- Mean Citation Score: 347.82673000000005
- Max Citation Score: 504.42743
- Similarity Product: 497.1132212006319

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

Dataset: test