PATENT CLAIM ANALYSIS

Application Number: 16434210
Application Type: Utility
Filing Date: 2019-06
Publication Date: 2019-12
Patent Classification: ["704", "235000"]

Abstract:
A system determines user intent from text. A conversation element is received. An intent is determined by matching a domain independent relationship and a domain dependent term determined from the received conversation element to an intent included in an intent database that stores a plurality of intents and by inputting the matched intent into a trained classifier that computes a likelihood that the matched intent is the intent of the received conversation element. An action is determined based on the determined intent. A response to the received conversation element is generated based on the determined action and output.

Claim (Index 28):
The method of  claim 27 , wherein, identifying the intent from the intent database based on the match with the graph comprises:\n (A) selecting the intent from the intents database; (B) comparing the domain term of each of the one or more slots of the selected intent with each node of the graph; (C) when there is a match based on comparing the domain term of each of the one or more slots, comparing the first direction and the second direction of the graph with the semantic relationship of the selected intent; (D) when there is a match either with the first direction or the second direction, adding the selected intent to a candidate intent list; and (E) repeating (A) to (D) with each remaining intent in the intents database, wherein the candidate intent list includes one or more identified intent.

Metadata:
- Claim Count in Document: 13.0
- Percentile: 100.0
- Lexical Diversity: 2.19149
- Patent Class: 704.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['16404753', '16238331', '15274859', '16022362', '14266253']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.3293008274115759
- 35 USC 102 Novelty (BERT): 0.4684326757722324
- Combined Prediction Score: 0.3432140122476415
- Mean Citation Score: 155.80287199999995
- Max Citation Score: 156.916
- Similarity Product: 108.40310212802883

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