PATENT CLAIM ANALYSIS

Application Number: 16136959
Application Type: Utility
Filing Date: 2018-09
Publication Date: 2019-01
Patent Classification: ["704", "255000"]

Abstract:
A language model may be used in a variety of natural language processing tasks, such as speech recognition, machine translation, sentence completion, part-of-speech tagging, parsing, handwriting recognition, or information retrieval. A natural language processing task may use a vocabulary of words, and a word hash vector may be created for each word in the vocabulary. A sequence of input words may be received, and a hash vector may be obtained for each word in the sequence. A language model may process the hash vectors for the sequence of input words to generate an output hash vector that describes words that are likely to follow the sequence of input words. One or words may then be selected using the output word hash vector and used for a natural language processing task.

Claim (Index 10):
The system of  claim 9 , wherein the at least one computer is further configured to:\n compute a word embedding for each word of the vocabulary of words; and compute a word hash vector for each word using the word embedding for the word.

Metadata:
- Claim Count in Document: 50.0
- Percentile: 97.0
- Lexical Diversity: 2.36066
- Patent Class: 704.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['15383707', '15074354', '15863225', '15964629', '15698614']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.244489322677305
- 35 USC 102 Novelty (BERT): 0.5096184916261002
- Combined Prediction Score: 0.2710022395721846
- Mean Citation Score: 210.180028
- Max Citation Score: 305.59906
- Similarity Product: 294.8824471505165

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

Dataset: test