PATENT CLAIM ANALYSIS

Application Number: 16426084
Application Type: Utility
Filing Date: 2019-05
Publication Date: 2019-09
Patent Classification: ["704", "009000"]

Abstract:
Natural language processing is provided. A computer processor, selects a pipeline based on an artifact that includes unstructured data, the pipeline identifying a first algorithm of a first set of algorithms of a first human language technology (HLT) component and a second algorithm of a second set of algorithms of a second HLT component; applies the first algorithm based on the artifact to generate a first cluster space associated with the artifact; amends an evidence chain associated with the artifact in response to applying the first algorithm, wherein the evidence chain includes one or more probabilistic findings of truth corresponding to the artifact; standardizes a first ontology of the first cluster space; applies the second algorithm based on the artifact to generate a second cluster space that is associated with the artifact; and identifies a set of information of one or more corpora that is relevant to the artifact.

Claim (Index 9):
A computer program product for natural language processing, the computer program product comprising:\n one or more computer-readable storage media and program instructions stored on the one or more computer-readable storage media, the program instructions comprising:\n program instructions to select a dynamic pipeline based, at least in part, on a corpus, wherein the dynamic pipeline links a first human language technology component and a second human language technology component, wherein the first human language technology component comprises a first set of algorithms and the second human language technology component comprises a second set of algorithms \n program instructions to apply a first algorithm of the first set of algorithms based, at least in part, on the corpus to generate a first cluster space that reflects a dynamic determination of relationships within the corpus, wherein the first cluster space includes probabilities that each respective relationship within the corpus is true or untrue; and \n program instructions to amend an evidence chain that includes one or more findings of true relationships associated with the corpus in response to applying the first algorithm, to reflect a most recent finding of a true relationship of the true relationships that supersedes a previous finding in light of a probabilistic determination from new determined relationships in the first cluster space.

Metadata:
- Claim Count in Document: 50.0
- Percentile: 100.0
- Lexical Diversity: 2.51562
- Patent Class: 704.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['14196002', '14498259', '15597677', '14551929', '15194758']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.2315641969671893
- 35 USC 102 Novelty (BERT): 0.5690984323113856
- Combined Prediction Score: 0.265317620501609
- Mean Citation Score: 221.827136
- Max Citation Score: 448.0125
- Similarity Product: 423.74915823340416

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