Abstract: Computer-readable media, systems and methods may improve automatic summarization of transcripts of financial earnings calls. For example, a system may generate segments, such as by disambiguating sentences, from a transcript to be summarized. The system may use an estimator that assesses whether or not the segment should be included in the summary. Different types of estimators may be used. For example, the estimator may be rule-based, trained based on machine-learning techniques, or trained on based on machine-learning with language modeling using natural language processing to fine-tune language models specific to financial earnings calls.

Abstract: Computer-readable media, systems and methods may improve classification of content based on a machine-learning natural language processing (ML-NLP) classifier. The system may train a general language model based on a general corpus, further train the general language model based on a domain-specific corpus to generate a domain-specific language model, and conduct supervised machine-learning based on the domain-specific language using topic-specific corpus labeled as relating to topics of interest to generate the ML-NLP classifier. Accordingly, the ML-NLP classifier may be trained on a general corpus, further trained on a domain-specific corpus, and fine-tuned on a topic-specific corpus. In this manner, domain-specific content may be classified into topics of interest. The ML-NLP classifier may classify content into the topics of interest.

Abstract: A method of remedying erroneous transactions in a distributed ledger system may include: determining, by a court system associated with the distributed ledger system, a judgment that a transferring, by a contract of the distributed ledger system during a conducting of a financial transaction, of a quantity of tokens of the distributed ledger system, from a first account corresponding to a first counterparty to a second account corresponding to a second counterparty, is erroneous; and in response to determining the judgment, executing, by a court contract of the distributed ledger system, a transfer function, configured to be responsive to the court contract, to transfer at least a portion of the quantity of tokens from the second account to the first account.

Abstract: A computer implemented method for mining risks includes providing a set of risk-indicating patterns on a computing device; querying a corpus using the computing device to identify a set of potential risks by using a risk-identification-algorithm based, at least in part, on the set of risk-indicating patterns associated with the corpus; comparing the set of potential risks with the risk-indicating patterns to obtain a set of prerequisite risks; generating a signal representative of the set of prerequisite risks; and storing the signal representative of the set of prerequisite risks in an electronic memory. A computing device or system for mining risks includes an electronic memory; and a risk-identification-algorithm based, at least in part, on the set of risk-indicating patterns associated with a corpus stored in the electronic memory.

Abstract: Intervention in the operation of a smart contract in a distributed ledger system may include: launching execution of the smart contract; upon launching execution of the smart contract, executing a judgment checking function to determine whether a judgment against the smart contract exists in a judgment database; in response to a judgment against the smart contract existing in the judgment database, intervening in the operation of the smart contract to prevent the execution of the smart contract; and in response to no judgment against the smart contract existing in the judgment database, continuing execution of the smart contract.

Abstract: Computer-readable media, systems and methods may improve automatic summarization of transcripts of financial earnings calls. For example, a system may generate segments, such as by disambiguating sentences, from a transcript to be summarized. The system may use an estimator that assesses whether or not the segment should be included in the summary. Different types of estimators may be used. For example, the estimator may be rule-based, trained based on machine-learning techniques, or trained on based on machine-learning with language modeling using natural language processing to fine-tune language models specific to financial earnings calls.

Abstract: A computer implemented method for mining supply chain information to produce supply chain graphs includes receiving by a computer a set of data; identifying a supplier, a commodity, and a customer from the set of data; generating a query comprising the identified data; determining the absence of any of the supplier, the commodity, or the customer from the set of data; if any items are determined to be absent from the set of data, substituting a placeholder for the missing item from the data set; sending the query; receiving a set of supply chain graph information; generating a supply chain graph signal based upon the set of supply chain graph information; and transmitting the supply chain graph signal. A computing device or system includes a processor an electronic memory; and a program for mining supply chain information to produce supply chain graphs stored in the electronic memory.

Abstract: Computer-readable media, systems and methods may improve classification of content based on a machine-learning natural language processing (ML-NLP) classifier. The system may train a general language model based on a general corpus, further train the general language model based on a domain-specific corpus to generate a domain-specific language model, and conduct supervised machine-learning based on the domain-specific language using topic-specific corpus labeled as relating to topics of interest to generate the ML-NLP classifier. Accordingly, the ML-NLP classifier may be trained on a general corpus, further trained on a domain-specific corpus, and fine-tuned on a topic-specific corpus. In this manner, domain-specific content may be classified into topics of interest. The ML-NLP classifier may classify content into the topics of interest.

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: A computer implemented method for mining supply chain information to produce supply chain graphs includes receiving by a computer a set of data; identifying a supplier, a commodity, and a customer from the set of data; generating a query comprising the identified data; determining the absence of any of the supplier, the commodity, or the customer from the set of data; if any items are determined to be absent from the set of data, substituting a placeholder for the missing item from the data set; sending the query; receiving a set of supply chain graph information; generating a supply chain graph signal based upon the set of supply chain graph information; and transmitting the supply chain graph signal. A computing device or system includes a processor an electronic memory; and a program for mining supply chain information to produce supply chain graphs stored in the electronic memory.

Abstract: A computer implemented method for mining supply chain information to produce supply chain graphs includes receiving by a computer a set of data; identifying a supplier, a commodity, and a customer from the set of data; generating a query comprising the identified data; determining the absence of any of the supplier, the commodity, or the customer from the set of data; if any items are determined to be absent from the set of data, substituting a placeholder for the missing item from the data set; sending the query; receiving a set of supply chain graph information; generating a supply chain graph signal based upon the set of supply chain graph information; and transmitting the supply chain graph signal. A computing device or system includes a processor an electronic memory; and a program for mining supply chain information to produce supply chain graphs stored in the electronic memory.

Abstract: A method of remedying erroneous transactions in a distributed ledger system may include: determining, by a court system associated with the distributed ledger system, a judgment that a transferring, by a contract of the distributed ledger system during a conducting of a financial transaction, of a quantity of tokens of the distributed ledger system, from a first account corresponding to a first counterparty to a second account corresponding to a second counterparty, is erroneous; and in response to determining the judgment, executing, by a court contract of the distributed ledger system, a transfer function, configured to be responsive to the court contract, to transfer at least a portion of the quantity of tokens from the second account to the first account.

Abstract: Intervention in the operation of a smart contract in a distributed ledger system may include: launching execution of the smart contract; upon launching execution of the smart contract, executing a judgment checking function to determine whether a judgment against the smart contract exists in a judgment database; in response to a judgment against the smart contract existing in the judgment database, intervening in the operation of the smart contract to prevent the execution of the smart contract; and in response to no judgment against the smart contract existing in the judgment database, continuing execution of the smart contract.

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: A computer implemented method for mining supply chain information to produce supply chain graphs includes receiving by a computer a set of data; identifying a supplier, a commodity, and a customer from the set of data; generating a query comprising the identified data; determining the absence of any of the supplier, the commodity, or the customer from the set of data; if any items are determined to be absent from the set of data, substituting a placeholder for the missing item from the data set; sending the query; receiving a set of supply chain graph information; generating a supply chain graph signal based upon the set of supply chain graph information; and transmitting the supply chain graph signal. A computing device or system includes a processor an electronic memory; and a program for mining supply chain information to produce supply chain graphs stored in the electronic memory.

Abstract: The disclosure relates to entity disambiguation in an interactive fashion based upon attributes. Once disambiguated, a manner in which to review a future article based upon an initial set of attributes and an additional set of attributes and, when needed, generate a warning flag based upon the review is also described. The warning flag may result in a change in the relationship between the entity and an organization such as a bank that is considering engaging in a business relationship with a candidate client, and that may subsequently abandon that plan, or a bank that had previously extended credit to the entity, and that subsequently may be less inclined as a result of the information retrieved by the present invention. A previously accepted entity may also be flagged for credit or anti-money laundering consideration if and when the applicant's situation (e.g., financial situation, involvement in anti-money laundering) changes.

Abstract: A Global Supply Chain Intelligence system (“GSCF”) configured as a supply chain intelligence search engine adapted to predict, discover and verify commodity trade flows. Creating and maintaining a dataset that tracks real and near real-time commodity flows as they happen as an input to the GSCI. The dataset used in a business intelligence process within the GSCI to arrive at an output, such as a predicted price behavior, a price alert, a risk alert, etc. A Commodity Flow Intelligence (CFI) component that collects and analyzes information with the timeliness, detail and accuracy required to track, forecast and predict supply and demand imbalances at the discrete flow level to aid market participants in making operational trading and investment decisions, for example, in connection with a financial services system or offering providing enhanced data and tools to promote market transparency.

Abstract: An image of a printed document portion is provided to a synchronizer. The synchronizer retrieves an electronic version of the printed document and identifies an electronic text portion that is textually similar to a printed text portion. The synchronizer detects an annotation in the printed document portion and inserts a corresponding digital annotation into the electronic document.

Abstract: The disclosure relates to entity disambiguation in an interactive fashion based upon attributes. Once disambiguated, a manner in which to review a future article based upon an initial set of attributes and an additional set of attributes and, when needed, generate a warning flag based upon the review is also described. The warning flag may result in a change in the relationship between the entity and an organization such as a bank that is considering engaging in a business relationship with a candidate client, and that may subsequently abandon that plan, or a bank that had previously extended credit to the entity, and that subsequently may be less inclined as a result of the information retrieved by the present invention. A previously accepted entity may also be flagged for credit or anti-money laundering consideration if and when the applicant's situation (e.g., financial situation, involvement in anti-money laundering) changes.

Abstract: A computer implemented method for mining supply chain information to produce supply chain graphs includes receiving by a computer a set of data; identifying a supplier, a commodity, and a customer from the set of data; generating a query comprising the identified data; determining the absence of any of the supplier, the commodity, or the customer from the set of data; if any items are determined to be absent from the set of data, substituting a placeholder for the missing item from the data set; sending the query; receiving a set of supply chain graph information; generating a supply chain graph signal based upon the set of supply chain graph information; and transmitting the supply chain graph signal. A computing device or system includes a processor an electronic memory; and a program for mining supply chain information to produce supply chain graphs stored in the electronic memory.