Abstract: A computer-implemented method includes based on a calculated first estimated error rate, second estimated error rate, first uncertain rank count, second uncertain rank count, and target error rate, displaying a stopping point indication. A computing system includes a processor; and a memory storing instructions that, when executed, cause the computing system to: based on a calculated first estimated error rate, second estimated error rate, first uncertain rank count, second uncertain rank count, and target error rate, display a stopping point indication. A non-transitory computer readable medium includes program instructions that when executed, cause a computer system to: based on a calculated first estimated error rate, second estimated error rate, first uncertain rank count, second uncertain rank count, and target error rate, display a stopping point indication.

Abstract: A active learning family-based review method includes selecting a document ranked as relevant by a machine learning model, identifying family documents relationally-linked to the ranked relevant document, generating a batch including the ranked relevant document adjacent to the family documents, and displaying the batch in a computing device. An active learning family-based review computing system includes a processor and a memory storing instructions that, when executed, cause the computing system to select a relevant document using machine learning, identify family documents, generate a batch including the relevant document adjacent to the family documents, and display the batch. A non-transitory computer readable medium stores program instructions that when executed, cause a computer system to select a relevant document using machine learning, identify family documents, generate a batch including the relevant document adjacent to the family documents, and display the batch.

Abstract: A computer-implemented method includes based on a calculated first estimated error rate, second estimated error rate, first uncertain rank count, second uncertain rank count, and target error rate, displaying a stopping point indication. A computing system includes a processor; and a memory storing instructions that, when executed, cause the computing system to: based on a calculated first estimated error rate, second estimated error rate, first uncertain rank count, second uncertain rank count, and target error rate, display a stopping point indication. A non-transitory computer readable medium includes program instructions that when executed, cause a computer system to: based on a calculated first estimated error rate, second estimated error rate, first uncertain rank count, second uncertain rank count, and target error rate, display a stopping point indication.

Abstract: A computer-implemented method for identifying a stopping point of an active learning process includes calculating an error rate for a set of documents, determining whether minimum coding exists, checking an error rate, detecting that an uncertainty rate decreases, and displaying an indication that the stopping point has been reached. A computing system for determining a stopping point of an active learning process includes a processors and a memory storing instructions that, when executed, cause the computing system to calculate an error rate, determine that minimum coding exists, check an error rate, detect decreasing uncertainty rate, and display a stopping point indication. A non-transitory computer readable medium storing program instructions that when executed, cause a computer system to calculate an error rate, determine that minimum coding exists, check an error rate, detect decreasing uncertainty rate, and display a stopping point indication.

Abstract: A method for efficiently grouping electronic documents that are likely textual near-duplicates includes processing first and second electronic documents to determine respective sets of character sequence counts. The processing includes, for each document, (1) identifying non-contiguous character sequences expressed within the document text, with each character sequence corresponding to a different starting position within the text and including at least a first character at the respective starting position and a second character at a pre-defined offset from the respective starting position, and (2) determining character sequence counts for each unique character sequence within the identified character sequences. The method also includes generating one or more similarity metrics, at least by comparing the sets of character sequence counts determined for the first and second electronic documents.

Abstract: A method for efficiently grouping electronic documents that are likely textual near-duplicates includes processing first and second electronic documents to determine respective sets of character sequence counts. The processing may include, for each document, identifying a plurality of non-contiguous character sequences expressed within the document text, with each character sequence including at least one character from each of at least two different words in the text, and determining character sequence counts for each unique character sequence within the identified character sequences. The method also includes generating one or more similarity metrics, at least by comparing the sets of character sequence counts determined for the first and second electronic documents. The method may also include using the similarity metric(s) to calculate a similarity score, and assigning, based on the similarity score, the second electronic document to a same document group as the first electronic document.

Abstract: Disclosed are methods and computer program products for automatically identifying and compensating for stop words in a text processing system. This automatic stop word compensation allows such operations as performing queries on an abstract mathematical space built using all words from all texts, with the ability to compensate for the skew that the inclusion of the stop words may have introduced into the space. Documents are represented by document vectors in the abstract mathematical space. To compensate for stop words, a weight function is applied to a predetermined component of the document vectors associated with frequently occurring word(s) contained in the documents. The weight function may be applied dynamically during query processing. Alternatively, the weight function may be applied statically to all document vectors.

Abstract: A text processing method is provided that includes the following steps. First, an abstract mathematical vector space is generated based on a collection of documents. Respective documents in the collection of documents have a representation in the abstract mathematical vector space and respective terms contained in the collection of documents have a representation in the abstract mathematical vector space. Then, the abstract mathematical vector space is perturbed to produce a perturbed abstract mathematical vector space that is stored in an electronic format accessible to a user. Perturbing the abstract mathematical vector space may include modifying the representation of a document with a newly computed representation for that document, or modifying the representation of a term with a newly computed representation for that term.

Abstract: A device for controlling a valve rotary actuator and communicating information regarding the valve rotary actuator, including a non-contact sensor which monitors, through a continuous range of rotation, the rotational position of a rotating unit connected to the valve rotary actuator, a main housing including a pneumatic valve body integrally formed with the main housing, the pneumatic valve body accommodating a valve spool, a sensor housing which supports the non-contact sensor and is connected to the main housing, and a manifold including a pathway in fluid communication with the pneumatic valve body.