PATENT CLAIM ANALYSIS

Application Number: 15920243
Application Type: Utility
Filing Date: 2018-03
Publication Date: 2019-04
Patent Classification: ["704", "009000"]

Abstract:
This disclosure relates generally to quality evaluation of collaborative text input, and more particularly to system and method for quality evaluation of collaborative text inputs using Long Short Term Memory (LSTM) networks. In one embodiment, the method includes receiving an input data associated with a task to be accomplished collaboratively and sequentially by a plurality of contributors. The input data includes task-wise data sequence of contributor's post-edit submissions. A plurality of features are extracted from the input data. Based on the plurality of features, a plurality of input sequences are constructed. The input sequences include a plurality of concatenated feature vectors, where each of the concatenated feature vectors includes a post-edit feature vector and a contributor representation feature vector. The input sequences are modelled as a LSTM network, where the LSTM network is utilized to train a binary classifier for quality evaluation of the post-edit submission.

Claim (Index 5):
The method of  claim 4 , further comprising learning the contributor embedding during the training of the LSTM network.

Metadata:
- Claim Count in Document: 22.0
- Percentile: 90.0
- Lexical Diversity: 1.98765
- Patent Class: 704.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: True
- Related Applications: ['15817161', '15455591', '15794802', '15494193', '09685165']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.2104758626293773
- 35 USC 102 Novelty (BERT): 0.5173645694277988
- Combined Prediction Score: 0.2411647333092195
- Mean Citation Score: 166.890334
- Max Citation Score: 182.99626
- Similarity Product: 91.5867419375372

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

Dataset: test