Abstract: A method and a system for automating a due diligence process are provided. The method includes: receiving identification information that relates to a customer; selecting, from a global set of due diligence questions based on the received identification information, a group of due diligence questions to be applied to the customer; determining a document source via which documents containing relevant information about the customer are accessible; retrieving, from the document source, a set of documents that relate to the potential customer; extracting, from the retrieved documents, information that is relevant to the selected group of due diligence questions with respect to the customer; and outputting the extracted information. Each of the determination of the document source, the retrieval of the set of documents, and the extraction of the relevant information is performed automatically by executing artificial intelligence algorithms that implement machine learning techniques.

Abstract: A method and a system for automatically processing financial documents to generate knowledge graphs that convey information relating to entities of interest and relationships between those entities are provided. The method includes: receiving a document; extracting raw text included in the document; identifying, based on the extracted raw text, a set of entities that are named in the document; determining respective relationship information that corresponds to respective pairs of entities; constructing a knowledge graph that illustrates respective relationships among the respective pairs of entities; and outputting the knowledge graph. The determination of the respective relationship information may be performed by applying an artificial intelligence (AI) algorithm that is trained by using historical data that relates to the set of entities.

Abstract: The present invention is directed toward a system for database querying using natural language generation, which comprises identifying a first set of entities corresponding to an indexed data set in response to a user query, generating a ranked list of query intents using the first set of entities, wherein each item of the list of query intents represents a second set of entities associated with the user query and iterating over the ranked list of query intents to identify a top ranked intent associated to one of a set of predefined query plans. The predefined query plan associated with the top rank intent is executed using the set of entities corresponding to the top ranked intent, the predefined query plan comprising one or more search actions against the indexed data set. A first set of results is then received and a description is generated and transmitted.

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 is directed toward a system for database querying using natural language generation, which comprises identifying a first set of entities corresponding to an indexed data set in response to a user query, generating a ranked list of query intents using the first set of entities, wherein each item of the list of query intents represents a second set of entities associated with the user query and iterating over the ranked list of query intents to identify a top ranked intent associated to one of a set of predefined query plans. The predefined query plan associated with the top rank intent is executed using the set of entities corresponding to the top ranked intent, the predefined query plan comprising one or more search actions against the indexed data set. A first set of results is then received and a description is generated and transmitted.

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.