Abstract: The present invention provides a seeded news event clustering and retrieval system configured to first create a candidate data set of documents, second create a set of initial clusters based on nearness or duplicate similarity status, and third create an aggregate cluster by merging initial clusters with seed documents. The invention generates top-level clusters for news events based on an editorially supplied topical label or “seed” component and generates sub-topic-focused clusters based on algorithm. The system uses an agglomerative clustering algorithm to gather and structure documents into distinct result sets.

Abstract: The present disclosure is directed towards systems and methods for evaluating and classifying data, which comprises receiving a first signal associated with a set of user defined categories and a second signal associated with a first set of one or more data items to be analyzed. The set of categories are presented on an interface and each of the data items are to be analyzed are presented on a tile overlay on the interface. A first swipe identification signal identifying a first category to apply to a first data item and a second swipe identification signal identifying a second category to apply to a second data item are received. Based upon the swipe identification signals, a first record associating the first data item with the first category and a second record associating the second data item with the second category are generated and stored in a memory.

Abstract: The present disclosure relates to methods and systems for providing context aware searching using concept markers. Embodiments provide concept markers configured to facilitate the identification and refinement of relevant content associated with a query with a high degree of precision. In embodiments, in response to a user query, documents and concept markers relevant to the query are determined. The identified documents are associated with the concept markers and are ranked based on the quality of the association. Upon a user selecting at least one of the concept markers, the search results are refined in response. The refining includes re-ranking the documents based on a combination of the original query and the selected concept marker. The suggested concept markers are similarly re-ranked. As such, the techniques disclosed herein provide for a high precision identification of relevant content as well as high precision refining of the search results.

Abstract: The present disclosure relates to methods and systems for providing context aware searching using concept markers. Embodiments provide concept markers configured to facilitate the identification and refinement of relevant content associated with a query with a high degree of precision. In embodiments, in response to a user query, documents and concept markers relevant to the query are determined. The identified documents are associated with the concept markers and are ranked based on the quality of the association. Upon a user selecting at least one of the concept markers, the search results are refined in response. The refining includes re-ranking the documents based on a combination of the original query and the selected concept marker. The suggested concept markers are similarly re-ranked. The disclosed techniques provide for a high precision identification of relevant content as well as high precision refining of the search results.

Abstract: A method for enabling a user to search database profiles includes receiving user input categorizing an information need, and determining whether the user input corresponds to a first or a second type of category. In response to determining that the user input corresponds to the first category type, the method includes requesting user input defining a first query, and in response to receipt of the query, and executing the defined first query against a set of one or more databases based on the user input categorizing the information need. In response to determining that the user input corresponds to the second category type, the method includes requesting additional user input regarding the information need.

Abstract: The present disclosure relates to methods and systems for providing context aware searching using concept markers. Embodiments provide concept markers configured to facilitate the identification and refinement of relevant content associated with a query with a high degree of precision. In embodiments, in response to a user query, documents and concept markers relevant to the query are determined. The identified documents are associated with the concept markers and are ranked based on the quality of the association. Upon a user selecting at least one of the concept markers, the search results are refined in response. The refining includes re-ranking the documents based on a combination of the original query and the selected concept marker. The suggested concept markers are similarly re-ranked. As such, the techniques disclosed herein provide for a high precision identification of relevant content as well as high precision refining of the search results.

Abstract: The present invention provides a seeded news event clustering and retrieval system configured to first create a candidate data set of documents, second create a set of initial clusters based on nearness or duplicate similarity status, and third create an aggregate cluster by merging initial clusters with seed documents. The invention generates top-level clusters for news events based on an editorially supplied topical label or “seed” component and generates sub-topic-focused clusters based on algorithm. The system uses an agglomerative clustering algorithm to gather and structure documents into distinct result sets.

Abstract: A method for enabling a user to search database profiles includes receiving user input categorizing an information need, and determining whether the user input corresponds to a first or a second type of category. In response to determining that the user input corresponds to the first category type, the method includes requesting user input defining a first query, and in response to receipt of the query, and executing the defined first query against a set of one or more databases based on the user input categorizing the information need. In response to determining that the user input corresponds to the second category type, the method includes requesting additional user input regarding the information need.

Abstract: A method for enabling a user to search database profiles includes receiving user input categorizing an information need, and determining whether the user input corresponds to a first or a second type of category. In response to determining that the user input corresponds to the first category type, the method includes requesting user input defining a first query, and in response to receipt of the query, and executing the defined first query against a set of one or more databases based on the user input categorizing the information need. In response to determining that the user input corresponds to the second category type, the method includes requesting additional user input regarding the information need.

Abstract: To facilitate access to public records, the present inventors devised, among other things, an entity resolution system. The exemplary system includes master records database of 300 million entities, which is partitioned into multiple distinct portions. The exemplary system extracts entity information from input public records and constructs one or more blocking queries against specific portions of the master records database to identify one or more sets of candidate records. Feature vectors are defined for the candidate records and machine learning techniques, such as Support Vector Machine, are used to determine which of the candidate records from the master records database match the input public records. Candidate records that match are logically associated with public records, enabling ready access via direct or indirect queries.

Abstract: The present disclosure is directed towards systems and methods for evaluating and classifying data, which comprises receiving a first signal associated with a set of user defined categories and a second signal associated with a first set of one or more data items to be analyzed. The set of categories are presented on an interface and each of the data items are to be analyzed are presented on a tile overlay on the interface. A first swipe identification signal identifying a first category to apply to a first data item and a second swipe identification signal identifying a second category to apply to a second data item are received. Based upon the swipe identification signals, a first record associating the first data item with the first category and a second record associating the second data item with the second category are generated and stored in a memory.

Abstract: A system and method for automatically determining a plurality of pieces of different information about a textual document from the text of the textual document are provided in which one or more particular characteristics of the text of the textual document are identified to generate a file containing the text of the textual document with the particular characteristics marked up within the text.

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 present invention makes legal research more efficient by selecting clusters in response to the behavior of a user (e.g., a legal professional such as a paralegal, lawyer, or judge). The clusters, which are formed prior to the user accessing a legal document (and thus, providing user behavior to a system), are identified to the based upon a set of metadata associated with the legal document. At least two clusters are identified and a signal associated therewith is transmitted to the user. Each cluster is associated with a unique legal topic. Further, each cluster may comprise primary and/or secondary authority.

Abstract: The present invention makes legal research more efficient by selecting clusters in response to the behavior of a user (e.g., a legal professional such as a paralegal, lawyer, or judge). The clusters, which are formed prior to the user accessing a legal document (and thus, providing user behavior to a system), are identified to the based upon a set of metadata associated with the legal document. At least two clusters are identified and a signal associated therewith is transmitted to the user. Each cluster is associated with a unique legal topic. Further, each cluster may comprise primary and/or secondary authority.

Abstract: The present invention makes legal research more efficient by selecting clusters in response to the behavior of a user (e.g., a legal professional such as a paralegal, lawyer, or judge). The clusters, which are formed prior to the user accessing a legal document (and thus, providing user behavior to a system), are identified to the based upon a set of metadata associated with the legal document. At least two clusters are identified and a signal associated therewith is transmitted to the user. Each cluster is associated with a unique legal topic. Further, each cluster may comprise primary and/or secondary authority.

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: A system and method for automatically determining a plurality of pieces of different information about a textual document from the text of the textual document are provided in which one or more particular characteristics of the text of the textual document are identified to generate a file containing the text of the textual document with the particular characteristics marked up within the text.

Abstract: A method for enabling a user to search database profiles includes receiving user input categorizing an information need, and determining whether the user input corresponds to a first or a second type of category. In response to determining that the user input corresponds to the first category type, the method includes requesting user input defining a first query, and in response to receipt of the query, and executing the defined first query against a set of one or more databases based on the user input categorizing the information need. In response to determining that the user input corresponds to the second category type, the method includes requesting additional user input regarding the information need.

Abstract: A system and method for automatically determining a plurality of pieces of different information about a textual document from the text of the textual document are provided in which one or more particular characteristics of the text of the textual document are identified to generate a file containing the text of the textual document with the particular characteristics marked up within the text.