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 2):
The method as recited in  claim 1 , further comprising:\n wherein calculating the surface similarity comprises: calculating a first string matching distance, wherein prepositions inside the long form candidate are ignored; and calculating a second string matching distance, wherein prepositions inside the long form candidate are included.

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): 0.2213591236188067
- 35 USC 102 Novelty (BERT): 0.5232805126378167
- Combined Prediction Score: 0.2515512625207077
- Mean Citation Score: 203.82707
- Max Citation Score: 310.5058
- Similarity Product: 212.4784913699031

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