Abstract: The present disclosure relates to systems and methods for analyzing and extracting data related to a structured proceeding, and for identifying, based on the analysis, at least one outcome associated with the structured proceeding. Embodiments provide for receiving data associated with a structured proceeding involving at least one party, the data including at least one docket entry, and analyzing, by an outcome location detector, the data to identify one or more docket entries in the at least one docket entry that are likely to include evidence of an outcome. Embodiments further include analyzing, by an outcome detector, the one or more docket entries determined to be likely to include evidence of an outcome to determine outcomes. The outcomes include at least one of a final outcome and at least one party outcome. The final outcome is associated with the structured proceeding overall, and the at least one party outcome is associated with a party of the at least one party that may have been terminated early.

Abstract: The present disclosure relates to systems and methods for analyzing and extracting data related to a structured proceeding, and for identifying, based on the analysis, at least one outcome associated with the structured proceeding. Embodiments provide for receiving data associated with a structured proceeding involving at least one party, the data including at least one docket entry, and analyzing, by an outcome location detector, the data to identify one or more docket entries in the at least one docket entry that are likely to include evidence of an outcome. Embodiments further include analyzing, by an outcome detector, the one or more docket entries determined to be likely to include evidence of an outcome to determine outcomes. The outcomes include at least one of a final outcome and at least one party outcome. The final outcome is associated with the structured proceeding overall, and the at least one party outcome is associated with a party of the at least one party that may have been terminated early.

Abstract: Systems and computer implemented methods for classifying documents are provided that include: pretraining and then fine tuning a machine learning model with a domain specific dataset that includes a plurality of documents each annotated with at one label selected from a plurality of predefined labels for a given domain; and predicting using the trained/fine tuned machine learning model, at least one label from the plurality of labels for at least one other document. The machine learning model is preferably fine tuned using a label attention multi-task learning process that includes: a first task for training the machine learning model with respect to all labels used for the plurality of documents in the dataset, and a second task for training the machine learning model with respect to a subset of all of the labels used for the plurality of documents in the dataset.

Abstract: A computing system can receive a request to apply semantic token tagging on a specified domain, and can retrieve a set of data associated with the specified domain from a data storage facility. Canonical sequences can be formed from strings included in the data set. Each canonical sequence can be permutated to form sequence variations and each sequence variation can be verified against a generalized domain. Semantic token tagging can be applied to the specified domain using a subset of the sequence variations that are successfully verified as training data.

Abstract: The present disclosure relates to systems and methods for analyzing and extracting data related to a structured proceeding, and for identifying, based on the analysis, at least one outcome associated with the structured proceeding. Embodiments provide for receiving data associated with a structured proceeding involving at least one party, the data including at least one docket entry, and analyzing, by an outcome location detector, the data to identify one or more docket entries in the at least one docket entry that are likely to include evidence of an outcome. Embodiments further include analyzing, by an outcome detector, the one or more docket entries determined to be likely to include evidence of an outcome to determine outcomes. The outcomes include at least one of a final outcome and at least one party outcome. The final outcome is associated with the structured proceeding overall, and the at least one party outcome is associated with a party of the at least one party that may have been terminated early.

Abstract: The present invention is directed towards systems and methods for querying a data repository using a flexible natural language interface, which comprises receiving an initiated user question at a graphical user interface and generating automatically one or more suggested completed questions in response to the receipt of the initiated user question. A selected completed question at the graphical user interface is received and subsequently parsed into a logic representation. The logic representation is translated into an executable query, which is executed against the data repository. One or more search results in response to the executed translated query and presented at the graphical user interface. The present invention further comprises generating one or more analytic results corresponding to the one or more search responsive to the translated query.

Abstract: The present invention relates to a system and method for bootstrapping templates for use in natural language sentence generation. More specifically, the present invention relates to identifying a set of candidate sentences from a large corpus based on a set of original templates by using a similarity measure. The set of candidate sentences are then processed or cleaned to generate a set of templates for use in natural language sentence generation.

Abstract: A computing system can receive a request to apply semantic token tagging on a specified domain, and can retrieve a set of data associated with the specified domain from a data storage facility. Canonical sequences can be formed from strings included in the data set. Each canonical sequence can be permutated to form sequence variations and each sequence variation can be verified against a generalized domain. Semantic token tagging can be applied to the specified domain using a subset of the sequence variations that are successfully verified as training data.

Abstract: The present invention is directed towards systems and methods for querying a data repository using a flexible natural language interface, which comprises receiving an initiated user question at a graphical user interface and generating automatically one or more suggested completed questions in response to the receipt of the initiated user question. A selected completed question at the graphical user interface is received and subsequently parsed into a logic representation. The logic representation is translated into an executable query, which is executed against the data repository. One or more search results in response to the executed translated query and presented at the graphical user interface. The present invention further comprises generating one or more analytic results corresponding to the one or more search responsive to the translated query.

Abstract: The present invention relates to a system and method for bootstrapping templates for use in natural language sentence generation. More specifically, the present invention relates to identifying a set of candidate sentences from a large corpus based on a set of original templates by using a similarity measure. The set of candidate sentences are then processed or cleaned to generate a set of templates for use in natural language sentence generation.