Abstract: Systems and methods for generating issue networks are disclosed. In one embodiment, a computer-implemented method of generating an issue network from a document corpus includes searching, using a computer, the document corpus for a set of documents discussing a starting issue, wherein the starting issue is one of a plurality of normalized issues defined by the document corpus. The method further includes determining a set of normalized issues discussed by the set of documents discussing the starting issue, wherein the set of normalized issues also includes the starting issue, and determining instances of co-occurrences of individual normalized issues of the set of normalized issues within individual cases of the set of documents. The method also includes linking individual normalized issues of the set of normalized issues based on their co-occurrences within the set of documents, wherein the linked individual normalized issues at least in part define the issue network.

Abstract: Systems and methods for generating issue networks are disclosed. In one embodiment, a computer-implemented method of generating an issue network from a document corpus includes searching, using a computer, the document corpus for a set of documents discussing a starting issue, wherein the starting issue is one of a plurality of normalized issues defined by the document corpus. The method further includes determining a set of normalized issues discussed by the set of documents discussing the starting issue, wherein the set of normalized issues also includes the starting issue, and determining instances of co-occurrences of individual normalized issues of the set of normalized issues within individual cases of the set of documents. The method also includes linking individual normalized issues of the set of normalized issues based on their co-occurrences within the set of documents, wherein the linked individual normalized issues at least in part define the issue network.

Abstract: Systems and methods for generating issue networks are disclosed. In one embodiment, a computer-implemented method of generating an issue network from a document corpus includes searching, using a computer, the document corpus for a set of documents discussing a starting issue, wherein the starting issue is one of a plurality of normalized issues defined by the document corpus. The method further includes determining a set of normalized issues discussed by the set of documents discussing the starting issue, wherein the set of normalized issues also includes the starting issue, and determining instances of co-occurrences of individual normalized issues of the set of normalized issues within individual cases of the set of documents. The method also includes linking individual normalized issues of the set of normalized issues based on their co-occurrences within the set of documents, wherein the linked individual normalized issues at least in part define the issue network.

Abstract: Systems and methods for generating issue networks are disclosed. In one embodiment, a computer-implemented method of generating an issue network from a document corpus includes searching, using a computer, the document corpus for a set of documents discussing a starting issue, wherein the starting issue is one of a plurality of normalized issues defined by the document corpus. The method further includes determining a set of normalized issues discussed by the set of documents discussing the starting issue, wherein the set of normalized issues also includes the starting issue, and determining instances of co-occurrences of individual normalized issues of the set of normalized issues within individual cases of the set of documents. The method also includes linking individual normalized issues of the set of normalized issues based on their co-occurrences within the set of documents, wherein the linked individual normalized issues at least in part define the issue network.

Abstract: Systems and methods for generating issue networks are disclosed. In one embodiment, a computer-implemented method of generating an issue network from a document corpus includes searching, using a computer, the document corpus for a set of documents discussing a starting issue, wherein the starting issue is one of a plurality of normalized issues defined by the document corpus. The method further includes determining a set of normalized issues discussed by the set of documents discussing the starting issue, wherein the set of normalized issues also includes the starting issue, and determining instances of co-occurrences of individual normalized issues of the set of normalized issues within individual cases of the set of documents. The method also includes linking individual normalized issues of the set of normalized issues based on their co-occurrences within the set of documents, wherein the linked individual normalized issues at least in part define the issue network.

Abstract: Systems and methods for generating issue networks are disclosed. In one embodiment, a computer-implemented method of generating an issue network from a document corpus includes searching, using a computer, the document corpus for a set of documents discussing a starting issue, wherein the starting issue is one of a plurality of normalized issues defined by the document corpus. The method further includes determining a set of normalized issues discussed by the set of documents discussing the starting issue, wherein the set of normalized issues also includes the starting issue, and determining instances of co-occurrences of individual normalized issues of the set of normalized issues within individual cases of the set of documents. The method also includes linking individual normalized issues of the set of normalized issues based on their co-occurrences within the set of documents, wherein the linked individual normalized issues at least in part define the issue network.

Abstract: Adjustable shooting rests and shooting rest assemblies are disclosed herein. In one embodiment, a shooting rest includes a rest assembly for supporting a forestock of a firearm. The rest assembly includes a base member and first and second upright members extending from the base member. A position of each of the first and second upright members is independently adjustable with reference to the base member. The shooting rest also includes a support assembly coupled to the rest assembly to move the rest assembly in a first direction and in a second direction. The first and second directions are in a plane generally transverse to a longitudinal axis of the firearm. The shooting rest further includes a base coupled to the support assembly.

Abstract: Adjustable shooting rests and shooting rest assemblies are disclosed herein. In one embodiment, a shooting rest includes a rest assembly for supporting a forestock of a firearm. The rest assembly includes a base member and first and second upright members extending from the base member. A position of each of the first and second upright members is independently adjustable with reference to the base member. The shooting rest also includes a support assembly coupled to the rest assembly to move the rest assembly in a first direction and in a second direction. The first and second directions are in a plane generally transverse to a longitudinal axis of the firearm. The shooting rest further includes a base coupled to the support assembly.

Abstract: Methods and systems are provided for normalizing strings and for matching records. In one implementation, a string is tokenized into components. Sequences of tags are generated by assigning tags to the components. A sequence of states is determined based on the sequences of tags. A normalized string is generated by normalizing the sequence of the states. A key record including key fields is extracted from a first data source. A candidate record including candidate fields is extracted from a second data source. A numerical record including numerical fields is computed by comparing the key fields and the candidate fields using comparison functions. Matching functions determined by an additive logistic regression method are applied to the numerical fields. Whether the key record and the candidate record are a match is determined based on a sum of results of the matching functions.

Abstract: Adjustable shooting rests and shooting rest assemblies are disclosed herein. In one embodiment, a shooting rest includes a rest assembly for supporting a forestock of a firearm. The rest assembly includes a base member and first and second upright members extending from the base member. A position of each of the first and second upright members is independently adjustable with reference to the base member. The shooting rest also includes a support assembly coupled to the rest assembly to move the rest assembly in a first direction and in a second direction. The first and second directions are in a plane generally transverse to a longitudinal axis of the firearm. The shooting rest further includes a base coupled to the support assembly.

Abstract: Adjustable shooting rests and shooting rest assemblies are disclosed herein. In one embodiment, a shooting rest includes a rest assembly for supporting a forestock of a firearm. The rest assembly includes a base member and first and second upright members extending from the base member. A position of each of the first and second upright members is independently adjustable with reference to the base member. The shooting rest also includes a support assembly coupled to the rest assembly to move the rest assembly in a first direction and in a second direction. The first and second directions are in a plane generally transverse to a longitudinal axis of the firearm. The shooting rest further includes a base coupled to the support assembly.

Abstract: Adjustable shooting rests and shooting rest assemblies are disclosed herein. In one embodiment, a shooting rest includes a rest assembly for supporting a forestock of a firearm. The rest assembly includes a base member and first and second upright members extending from the base member. A position of each of the first and second upright members is independently adjustable with reference to the base member. The shooting rest also includes a support assembly coupled to the rest assembly to move the rest assembly in a first direction and in a second direction. The first and second directions are in a plane generally transverse to a longitudinal axis of the firearm. The shooting rest further includes a base coupled to the support assembly.

Abstract: Methods and systems are provided for normalizing strings and for matching records. In one implementation, a string is tokenized into components. Sequences of tags are generated by assigning tags to the components. A sequence of states is determined based on the sequences of tags. A normalized string is generated by normalizing the sequence of the states. A key record including key fields is extracted from a first data source. A candidate record including candidate fields is extracted from a second data source. A numerical record including numerical fields is computed by comparing the key fields and the candidate fields using comparison functions. Matching functions determined by an additive logistic regression method are applied to the numerical fields. Whether the key record and the candidate record are a match is determined based on a sum of results of the matching functions.

Abstract: Adjustable shooting rests and shooting rest assemblies are disclosed herein. In one embodiment, a shooting rest includes a rest assembly for supporting a forestock of a firearm. The rest assembly includes a base member and first and second upright members extending from the base member. A position of each of the first and second upright members is independently adjustable with reference to the base member. The shooting rest also includes a support assembly coupled to the rest assembly to move the rest assembly in a first direction and in a second direction. The first and second directions are in a plane generally transverse to a longitudinal axis of the firearm. The shooting rest further includes a base coupled to the support assembly.

Abstract: A fact extraction tool set (“FEX”) finds and extracts targeted pieces of information from text using linguistic and pattern matching technologies, and in particular, text annotation and fact extraction. Text annotation tools break a text, such as a document, into its base tokens and annotate those tokens or patterns of tokens with orthographic, syntactic, semantic, pragmatic and other attributes. A user-defined “Annotation Configuration” controls which annotation tools are used in a given application. XML is used as the basis for representing the annotated text. A tag uncrossing tool resolves conflicting (crossed) annotation boundaries in an annotated text to produce well-formed XML from the results of the individual annotators. The fact extraction tool is a pattern matching language which is used to write scripts that find and match patterns of attributes that correspond to targeted pieces of information in the text, and extract that information.