PATENT CLAIM ANALYSIS

Application Number: 15959833
Application Type: Utility
Filing Date: 2018-04
Publication Date: 2018-10
Patent Classification: ["704", "002000"]

Abstract:
The disclosure relates to transferred learning from a first language (e.g., a source language for which a semantic parser has been defined) to a second language (e.g., a target language for which a semantic parser has not been defined). A system may use knowledge from a trained model in one language to model another language. For example, the system may transfer knowledge of a semantic parser from a first (e.g., source) language to a second (e.g., target) language. Such transfer of knowledge may occur and be useful when the first language has sufficient training data but the second language has insufficient training data. The foregoing transfer of knowledge may extend the semantic parser for multiple languages (e.g., the first language and the second language).

Claim (Index 2):
The system of  claim 1 , wherein to generate the plurality of cross-lingual word features, the computer system is programmed to:\n determine a context of a first word of the corpus of words based on one or more words adjacent to the first word in the corpus of words.

Metadata:
- Claim Count in Document: 1.0
- Percentile: 91.0
- Lexical Diversity: 2.58929
- Patent Class: 704.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['15408526', '15141577', '15843047', '14863996', '13947878']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.3235759138479151
- 35 USC 102 Novelty (BERT): 0.4969970811259231
- Combined Prediction Score: 0.3409180305757159
- Mean Citation Score: 245.119432
- Max Citation Score: 258.78543
- Similarity Product: 199.07463448646487

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