Abstract:
Methods and systems for facilitating evaluation of one or more electronic documents. One or more templates are extracted from the one or more electronic documents. At least one area in the one or more templates is identified. The at least one area includes a response provided by a user associated with the electronic document. One or more groups are generated based on similarity between the responses in the at least one area in the one or more templates. The one or more groups are distributed to one or more remote workers or a crowdsourcing platform for the evaluation.
Abstract:
The disclosed embodiments illustrate a domain adaptation method for learning transferable feature representations from a source domain for a target domain. The method includes receiving input data comprising a plurality of labeled instances of the source domain and a plurality of unlabeled instances of the target domain. The method includes learning common representation shared between the source domain and the target domain, based on the plurality of labeled instances of the source domain. The method includes labeling one or more unlabeled instances in the plurality of unlabeled instances of the target domain, based on the common representation. The method includes determining a target specific representation corresponding to the target domain. The method includes training a target specific classifier based on the target specific representation and the common representation to perform text classification on remaining one or more unlabeled instances of the plurality of unlabeled instances of the target domain.
Abstract:
A method, non-transitory computer readable medium and apparatus for transforming a knowledge base into a machine readable format for an automated system are disclosed. For example, the method includes clustering two or more documents of a plurality of documents in the knowledge base that are similar based upon a domain specific shingling function, identifying a pattern from each document of the plurality of documents that are clustered, wherein the pattern comprises a sequence of steps, aggregating the pattern of the each document of the plurality of documents that are clustered into a trie data-structure that is machine readable, receiving a request and applying the trie data-structure to provide a solution to the request.
Abstract:
The disclosed embodiments illustrate methods and systems for creating one or more tasks of digitizing an electronic document. The electronic document comprises one or more fields. The method comprising receiving inputs to define one or more characteristics associated with each of the one or more fields. The one or more fields are categorized in one or more groups based on the one or more characteristics. Additionally, a task is created for each of the one or more categorized fields based on the one or more characteristics associated with each of the one or more categorized fields, wherein the task comprises at least a user interface for facilitating at least one remote worker to input a response for the task.
Abstract:
A method, non-transitory computer readable medium and apparatus for transforming a knowledge base into a machine readable format for an automated system are disclosed. For example, the method includes clustering two or more documents of a plurality of documents in the knowledge base that are similar based upon a domain specific shingling function, identifying a pattern from each document of the plurality of documents that are clustered, wherein the pattern comprises a sequence of steps, aggregating the pattern of the each document of the plurality of documents that are clustered into a trie data-structure that is machine readable, receiving a request and applying the trie data-structure to provide a solution to the request.
Abstract:
According to embodiments illustrated herein, there is provided a system for predicting a health condition of a first patient. The system includes a document processor configured to extract one or more headings from one or more medical records of the first patient based on one or more predefined rules. The document processor is further configured to extract one or more words from one or more phrases written under each of the extracted one or more headings, wherein the one or more phrases correspond to documentation of the observation of the first patient by a medical attender. The system further includes one or more processors configured to predict the health condition of the first patient based on a count of the one or more words in historical medical records and the one or more medical records.
Abstract:
Methods and systems for facilitating evaluation of one or more electronic documents. One or more templates are extracted from the one or more electronic documents. At least one area in the one or more templates is identified. The at least one area includes a response provided by a user associated with the electronic document. One or more groups are generated based on similarity between the responses in the at least one area in the one or more templates. The one or more groups are distributed to one or more remote workers or a crowdsourcing platform for the evaluation.
Abstract:
Methods and systems for creating a task are provided. A request from a worker is received to perform the task. A task is created in response to the request. The task comprises at least one new sub-task and at least one additional sub-task, wherein the at least one additional sub-task is selected from a set of unfinished sub-tasks associated with one or more previously attempted tasks. The task is communicated to the worker. The worker may receive a bonus remuneration for correctly attempting the at least one additional sub-task.
Abstract:
The disclosed embodiments illustrate methods and systems for creating one or more tasks of digitizing an electronic document. The electronic document comprises one or more fields. The method comprising receiving inputs to define one or more characteristics associated with each of the one or more fields. The one or more fields are categorized in one or more groups based on the one or more characteristics. Additionally, a task is created for each of the one or more categorized fields based on the one or more characteristics associated with each of the one or more categorized fields, wherein the task comprises at least a user interface for facilitating at least one remote worker to input a response for the task.
Abstract:
The disclosed embodiments illustrate methods and systems for crowdsourcing a task. The method comprises presenting the task to one or more crowdworkers based on their reputation scores and a redundancy degree associated with the task. The task comprises one or more sub-tasks. A plurality of responses to the task are received from the one or more crowdworkers. Each response further comprises one or more sub-responses each of which in turn corresponds to a response for a sub-task of the one or more sub-tasks. A first set of sub-tasks is identified from the one or more sub-tasks based on a first set of similar sub-responses received for the first set of sub-tasks from the plurality of responses. A first set of crowdworkers from the one or more crowdworkers who provided the first set of similar sub-responses for the first set of sub-tasks are remunerated.