PATENT CLAIM ANALYSIS

Application Number: 15984224
Application Type: Utility
Filing Date: 2018-05
Publication Date: 2019-09
Patent Classification: ["358", "001900"]

Abstract:
The present application relates to a method performed at an electronic device for parsing tables in a PDF document. The method includes the following steps: receiving the PDF document containing a table area; extracting horizontal lines, vertical lines and text blocks in the table area; determining the types of tables in the table area according to the extracted horizontal lines and vertical lines; if the table is a quasi full-line table, determining the structure of the quasi full-line table in the table area according to the horizontal lines and the vertical lines in the table area with the assistance of the text blocks in the table area; and if the table is a quasi non-line table, determining the structure of the quasi non-line table in the table area according to the text blocks in the table area with the assistance of the horizontal lines and/or the vertical lines in the table area.

Claim (Index 2):
The method according to  claim 1 , wherein, before the step of determining the types of the tables in the table areas, the method further comprises: performing, by the electronic device, deduplication and fusion processing on the extracted horizontal lines and vertical lines.

Metadata:
- Claim Count in Document: 26.0
- Percentile: 93.0
- Lexical Diversity: 3.17647
- Patent Class: 358.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: True
- Related Applications: ['13871862', '12414365', '14778155', '15175712', '15136674']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.5191369829230796
- 35 USC 102 Novelty (BERT): 0.5013247654551306
- Combined Prediction Score: 0.5173557611762847
- Mean Citation Score: 179.56158
- Max Citation Score: 200.38649
- Similarity Product: 126.80021986689688

Labels:
- Claim Label 101: 0
- Claim Label 102: 1
- Claim Label 103: 0
- Claim Label 112: 1
- Combined Label: 0
- Label 101 Adjusted: 0

Dataset: test