PATENT CLAIM ANALYSIS

Application Number: 16073611
Application Type: Utility
Filing Date: 2018-07
Publication Date: 2019-01
Patent Classification: ["704", "009000"]

Abstract:
A multilingual named-entity recognition system according to an embodiment includes an acquisition unit configured to acquire an annotated sample of a source language and a sample of a target language, a first generation unit configured to generate an annotated named-entity recognition model of the source language by applying Conditional Random Field sequence labeling to the annotated sample of the source language and obtaining an optimum weight for each annotated named entity of the source language, a calculation unit configured to calculate similarity between the annotated sample of the source language and the sample of the target language, and a second generation unit configured to generate a named-entity recognition model of the target language based on the annotated named-entity recognition model of the source language and the similarity.

Claim (Index 2):
The multilingual named-entity recognition system according to  claim 1 , wherein\n the first generation code is configured to cause the at least one processor to generate the annotated named-entity recognition model of the source language by optimizing a class probability indicating a probability of a next or previous word belonging to another class and a word probability being a probability of a particular word appearing within the annotated sample of the source language based on a class of the particular word for each annotated named entity of the source language.

Metadata:
- Claim Count in Document: 11.0
- Percentile: 95.0
- Lexical Diversity: 2.62
- Patent Class: 704.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['14837687', '14490275', '15512281', '12110231', '15406586']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.2969218082962414
- 35 USC 102 Novelty (BERT): 0.4944730572434257
- Combined Prediction Score: 0.3166769331909598
- Mean Citation Score: 223.069488
- Max Citation Score: 243.21155
- Similarity Product: 181.1323438010781

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