System and method for quality evaluation of collaborative text inputs

A system for quality evaluation of collaborative text input, the system comprising:

• at least one memory storing instructions;
• and
• one or more hardware processors coupled to said at least one memory, wherein said one or more hardware processors are configured by said instructions to:
• receive an input data associated with a task to be accomplished collaboratively and sequentially by a plurality of contributors, the input data comprising task-wise data sequence of contributor's post-edit submissions;
• extract a plurality of features from the input data;
• construct a plurality of input sequences based on the plurality of features, an input sequence of the plurality of input sequences comprising a plurality of concatenated feature vectors, each of the concatenated feature vectors comprising a post-edit feature vector and a contributor representation feature vector;
• and
• model the plurality of input sequences as a Long Short Term Memory (LSTM) network, wherein the LSTM network is utilized to train a first binary classifier for quality evaluation of the post-edit submission.

A non-transitory computer-readable medium having embodied thereon a computer program for executing a method for quality evaluation of collaborative text input, the method comprising:

• receiving, via one or more hardware processors, an input data associated with a task to be accomplished collaboratively and sequentially by a plurality of contributors, the input data comprising task-wise data sequence of contributor's post-edit submissions;
• extracting a plurality of features from the input data, via the one or more hardware processors;
• constructing, via the one or more hardware processors, a plurality of input sequences based on the plurality of features, an input sequence of the plurality of input sequences comprising a plurality of concatenated feature vectors, each of the concatenated feature vectors comprising a post-edit feature vector and a contributor representation feature vector;
• and
• modelling, via the one or more hardware processors, the plurality of input sequences as a Long Short Term Memory (LSTM) network, wherein the LSTM network is utilized to train a first binary classifier for quality evaluation of the post-edit submission.