Abstract: A method and system for automatically analyzing legal documents are provided herein. The method may include the following steps: receiving a labelled legal document and at least one unlabeled legal document, wherein the legal documents exhibit similarity in terms of table of content thereof, and wherein the labelled legal document is labelled with a plurality of labels each indicating a start point and an end point of predefined entities associated with the legal documents; converting the legal documents to respective sequences of characters; applying a global alignment sequencing process to the sequence of characters of the labelled legal document and the sequence of characters of the at least one unlabeled legal document, based on the labels; deriving pointers to the start points and end points of the predefined entities in the unlabeled legal document based on the global alignment sequencing process; and labeling the unlabeled legal document using the pointers.

Abstract: Systems, methods, and media for extracting and processing entity data included in an electronic document are provided herein. Methods may include executing one or more extractors to extract entity data within an electronic document based upon an extraction model for the document, selecting extracted entity data via one or more experts, each of the experts applying at least one business rule to organize at least a portion of the selected entity data into a desired format, and providing the organized entity data for use by an end user.

Abstract: A method for identifying sections of contracts. This method works well with documents that originated from scanned images, i.e., documents that could possibly include noise and misleading cues.

Abstract: A method for identifying sections of contracts. This method works well with documents that originated from scanned images, i.e., documents that could possibly include noise and misleading cues.

Abstract: Systems, methods, and media for extracting and processing entity data included in an electronic document are provided herein. Methods may include executing one or more extractors to extract entity data within an electronic document based upon an extraction model for the document, selecting extracted entity data via one or more experts, each of the experts applying at least one business rule to organize at least a portion of the selected entity data into a desired format, and providing the organized entity data for use by an end user.

Abstract: A method for identifying sections of contracts. This method works well with documents that originated from scanned images, i.e., documents that could possibly include noise and misleading cues.

Abstract: Systems, methods, and media for extracting and processing entity data included in an electronic document are provided herein. Methods may include executing one or more extractors to extract entity data within an electronic document based upon an extraction model for the document, selecting extracted entity data via one or more experts, each of the experts applying at least one business rule to organize at least a portion of the selected entity data into a desired format, and providing the organized entity data for use by an end user.

Abstract: A method for identifying sections of contracts. This method works well with documents that originated from scanned images, i.e., documents that could possibly include noise and misleading cues.

Abstract: A method for identifying sections of contracts. This method works well with documents that originated from scanned images, i.e., documents that could possibly include noise and misleading cues.

Abstract: A method for identifying sections of contracts. This method works well with documents that originated from scanned images, i.e., documents that could possibly include noise and misleading cues.

Abstract: A method for identifying sections of contracts. This method works well with documents that originated from scanned images, i.e., documents that could possibly include noise and misleading cues.

Abstract: Systems, methods, and media for extracting and processing entity data included in an electronic document are provided herein. Methods may include executing one or more extractors to extract entity data within an electronic document based upon an extraction model for the document, selecting extracted entity data via one or more experts, each of the experts applying at least one business rule to organize at least a portion of the selected entity data into a desired format, and providing the organized entity data for use by an end user.

Abstract: A device, system and method of outputting information is disclosed to compare at least two documents, namely, at least a first document and a second document, to facilitate visual mapping and comparison of these documents. These documents comprise document subsections and the subsections comprise document subsection headers associated therewith. At least one of the first document subsection headers is juxtaposed relative to an output of second document subsection headers mapping thereto, to visually emphasize a header mapping. This header mapping is established by: mapping the first document subsections relative to the second document subsections based on identifying substantial similarities therebetween, to establish a subsection mapping therebetween; and, in relation to the subsection mapping and the association between the document subsections and the subsection headers, further mapping the first document subsection headers relative to the second document subsection headers.

Abstract: Two documents are processed to facilitate visual mapping and comparison. These documents comprise document subsections and the subsections comprise document subsection headers associated therewith. At least one of the first document subsection headers is juxtaposed relative to an output of second document subsection headers mapping thereto, to visually emphasize a header mapping. This header mapping is established by: mapping the first document subsections relative to the second document subsections based on identifying substantial similarities therebetween, to establish a subsection mapping therebetween; and, in relation to the subsection mapping and the association between the document subsections and the subsection headers, further mapping the first document subsection headers relative to the second document subsection headers.

Abstract: A device, system and method of outputting information is disclosed to compare at least two documents, namely, at least a first document and a second document, to facilitate visual mapping and comparison of these documents. These documents comprise document subsections and the subsections comprise document subsection headers associated therewith. At least one of the first document subsection headers is juxtaposed relative to an output of second document subsection headers mapping thereto, to visually emphasize a header mapping. This header mapping is established by: mapping the first document subsections relative to the second document subsections based on identifying substantial similarities therebetween, to establish a subsection mapping therebetween; and, in relation to the subsection mapping and the association between the document subsections and the subsection headers, further mapping the first document subsection headers relative to the second document subsection headers.

Abstract: Disclosed herein is device, system, method, and related user interfaces, for converting specific-case information to general-case information, comprising: identifying specific-case terms by scanning through a source document; proposing substitutions of general-case terms for the identified specific-case terms; and displaying the proposed substitutions.

Abstract: A system and method are disclosed for presenting information. Categories are determined for found information by analyzing the content of the information. The categories are correlated with images that represent the categories. Images are displayed that correspond to the categories.

Abstract: A technique for injecting corpus-based preference into syntactic text parsing is provided. Specifically, the problem of tagging content-word pairs by part-of-speech is solved by using thematic analysis. A new measure of the fixed or variable nature of such word pairs is created and used to classify word pairs as either noun-verb, adjective-noun, or verb-noun.

Abstract: An enhancement and retrieval method for natural language data using a computer is disclosed. The method includes executing linguistic analysis upon a text corpus file to derive morphological, part-of-speech information as well as lexical variants corresponding to respective corpus words. The derived linguistic information is then used to construct an enhanced text corpus file. A query text file is linguistically analyzed to construct a plurality of trigger token morphemes which are then used to construct a search mask stream which is correlated with the enhanced text corpus file. A match between the search mask stream and the enhanced corpus file allows a user to retrieve selected portions of the enhanced text corpus.