PATENT CLAIM ANALYSIS

Application Number: 16023697
Application Type: Utility
Filing Date: 2018-06
Publication Date: 2018-10
Patent Classification: ["704", "009000"]

Abstract:
Embodiments provide a system and method for short form and long form detection. Using a language-independent process, the detection system can ingest a corpus of documents, pre-process those documents by tokenizing the documents and performing a part-of-speech analysis, and can filter one or more candidate short forms using one or more filters that select for semantic criteria. Semantic criteria can include the part of speech of a token, whether the token contains more than a pre-determined amount of symbols or digits, whether the token appears too frequently in the corpus of documents, and whether the token has at least one uppercase letter. The detection system can detect short forms independent of case and punctuation, and independent of language-specific metaphone variants.

Claim (Index 8):
A non-transitory computer program product for short form/long form detection, the computer program product comprising a non-transitory computer readable storage medium having program instructions embodied therewith, the program instructions executable by a processor to cause the processor to:\n receive content; pre-process the content to generate a deep learning model using a neural network; generate candidate short forms from the content; generate at least one long form candidate for each short form candidate; calculate a surface similarity for each long form candidate; determine if each long form candidate meets a threshold criteria using the surface similarity; and determine a validity status for each long form candidate that meets the threshold criteria.

Metadata:
- Claim Count in Document: 50.0
- Percentile: 94.0
- Lexical Diversity: 1.87143
- Patent Class: 704.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['15195442', '15195437', '14579612', '14727451', '12614387']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.2218313396123697
- 35 USC 102 Novelty (BERT): 0.5175189024486909
- Combined Prediction Score: 0.2514000958960019
- Mean Citation Score: 203.82707
- Max Citation Score: 310.5058
- Similarity Product: 250.0419729887128

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