Abstract: Systems and techniques for exploring relationships among entities are disclosed. The systems and techniques provide an entity-based information analysis and content aggregation platform that uses heterogeneous data sources to construct and maintain an ecosystem around tangible and logical entities. Entities are represented as vertices in a directed graph, and edges are generated using entity co-occurrences in unstructured documents and supervised information from structured data sources. Significance scores for the edges are computed using a method that combines supervised, unsupervised and temporal factors into a single score. Important entity attributes from the structured content and the entity neighborhood in the graph are automatically summarized as the entity fingerprint. Entities may be compared to one another based on similarity of their entity fingerprints. An interactive user interface is also disclosed that provides exploratory access to the graph and supports decision support processes.

Abstract: The present invention is directed towards systems and methods for conducting prospective legal research, which comprises receiving an initiated user question at a graphical user interface comprising one or more search terms and performing query expansion on the received search query. One or more documents that are responsive to the expanded search query are then identified, and from the set of responsive documents, a subset of documents that reference future development are then identified. The one or more responsive documents that reference future development are grouped into one or more document clusters and a topic is identified for each of the one or more document clusters. The one or more document clusters and the associated topics are then presented at the graphical user interface.

Abstract: A method for providing a search result includes receiving a user query and determining, in response to receiving the user query, a set of segment candidates based on the user query and an indexing structure. The indexing structure is associated with at least one segment constraint. The method further includes ranking the set of segment candidates and providing a result associated with the set of segment candidates. Another method includes ranking each segment within the set of segment candidates based on a set of prioritized features. Another method has the at least one segment constraint including at least one of a critical keyword and an exclusionary keyword. Another method further includes excluding a segment based on the at least one segment constraint comprising the exclusionary keyword.

Abstract: The present inventors devised, among other things, an online legal research system with improved user controls. One exemplary system allows users to enter a query in a query input region that automatically expands to accommodate the length of the query field. The exemplary system also responds to the query by automatically directing it to an appropriate database, saving the user from having to choose among the myriad databases within the system. The exemplary system also provides user-specific folders for not only selected documents or excerpts from documents, but also annotating these documents with notes. The system enables the user to determine whether to make the notes private or publicly available.

Abstract: A neural paraphrase generator receives a sequence of tuples comprising a source sequence of words, each tuple comprising word data element and structured tag element representing a linguistic attribute about the word data element. An RNN encoder receives a sequence of vectors representing a source sequence of words, and RNN decoder predicts a probability of a target sequence of words representing a target output sentence based on a recurrent state in the decoder. An input composition component includes a word embedding matrix and a tag embedding matrix, and receives and transforms the input sequence of tuples into a sequence of vectors by 1) mapping word data elements to word embedding matrix to generate word vectors, 2) mapping structured tag elements to tag embedding matrix to generate tag vectors, and 3) concatenating word vectors and tag vectors.

Abstract: Systems and techniques for detecting and verifying social media events are disclosed. The system and techniques allow for processing of social media data to extract potentially valuable information in a timely manner and determine the veracity of the detected information. One implementation of the disclosure relates to event detection. Event detection involves ingestion and processing of social media data. Another implementation of the disclosure relates to verification of a detected event and generating a verification score.

Abstract: The present invention provides software and a method and system of efficient source document data entry and data association. More particularly, the present invention relates to a software module which receives source documents and recognizes or extracts information from the documents or associated files for use in populating fields of related or derivative documents or screens to facilitate accurate transfer of data. The invention also allows for ease in confirming the accuracy of the extracted or imported data by comparison with the source document either directly by a person or through automated or semi-automated procedures.

Abstract: The present invention relates to a system and method for bootstrapping templates for use in natural language sentence generation. More specifically, the present invention relates to identifying a set of candidate sentences from a large corpus based on a set of original templates by using a similarity measure. The set of candidate sentences are then processed or cleaned to generate a set of templates for use in natural language sentence generation.

Abstract: Exemplary embodiments are generally directed to navigable layering of viewable areas corresponding to a hierarchical structure of computer-readable content. In exemplary embodiments, a stack of viewable areas including a first viewable area and a second viewable area can be rendered on a display within a footprint area. An order of the viewable areas in the stack can correspond to a hierarchical relationship of computer-readable content and the viewable areas can include information associated with the hierarchical relationship. The second viewable area in the stack can be adjusted, for example, by resizing and/or repositioning the second viewable area, based on a compression criteria to accommodate the viewable areas of the stack within the footprint.

Abstract: For automated text processing, the inventors devised, among other things, an exemplary system that automatically extracts financial events from various unstructured text based sources, such as press releases and news articles. Extracted events, such as mergers & acquisitions, earnings guidance reports, and actual earnings announcements, are represented as structured data records which can be linked, searched, and displayed and used as a basis for controlling accessing to the source documents and other related financial documents for named entities.

Abstract: The present invention relates to a computer-based system for identifying supply chain risks and generating supply chain graphs representing an interconnected network of entities. An industrial graph database application is configured to account for direct and indirect (transitive) supplier risk and importance, based on a weighted set of measures: criticality, replaceability, centrality and distance. A graph-based model serves as an interactive and visual supply chain risk and importance explorer. A supply network is induced from textual data by applying text mining techniques to news stories and used to populate the supply chain/graph database.

Abstract: The present invention provides a method and system delivering graph-based metric to measure a similarity between weighted sets of classifications codes (presented as nodes) defined on hierarchical taxonomy trees. The suggested method is applied to find company peers in a particular domain, e.g., the IP domain based on a company patent portfolio. The suggested method may be applied to other domains that include hierarchical classifications such as trademarks, legal documents, scientific papers, lawsuits etc.

Abstract: A computer implemented method of processing data containing information about relationships between contacts and a community of contact owners is provided, which includes the steps of: collecting data having contact information, contact owner information and one or more values related to the strength of a relationship between the contact and the contact owner; evaluating the strength of the relationship based on the one or more values; and storing the collected data and evaluated strength in a computer database.

Abstract: A facility for conveying accrual amounts through an intermediary service is described. The facility permits vendors to each upload unbilled amounts for one or more matters for a client according to vendor-specific matter identifiers. The facility maps the vendor-specific identifiers for the uploaded unbilled amounts to client-specific identifiers. When the facility receives a request from the client to be you unbilled amounts for one or more matters, the facility displays to a client user the unbilled amounts for the requested matters according to the client-specific identifiers associated with the requested matters.

Abstract: A method includes receiving a signal associated with a two dimensional code where the two dimensional code is associated with a set of data. The method further includes generating and transmitting a currentness signal associated with the set of data. Another embodiment includes the currentness signal being associated with at least one of currentness information, supplement information and a print date of supplement information, wherein the currentness information comprises a statement regarding currentness of the set of data and the supplement information comprises a statement regarding an existence of a supplement. Yet another embodiment includes receiving a download signal associated with a purchase transaction, the set of data and an electronic file and then generating and transmitting a delivery signal associated with the electronic file.

Abstract: A method includes receiving a corpus comprising a set of pre-segmented texts. The method further includes creating a plurality of modified pre-segmented texts for the set of pre-segmented texts by extracting a set of semantic terms for each pre-segmented text within the set of pre-segmented texts and applying at least one domain tag for each pre-segmented text within the set of pre-segmented texts. The method further includes clustering the plurality of modified pre-segmented texts into one or more conceptual units, wherein each of the one or more conceptual units is associated with one or more templates, wherein each of the one or more templates corresponds to one of the plurality of modified pre-segmented texts.

Abstract: Systems and techniques for determining relationships and association significance between entities are disclosed. The systems and techniques automatically identify supply chain relationships between companies based on unstructured text corpora. The system combines Machine Learning models to identify sentences mentioning supply chain between two companies (evidence), and an aggregation layer to take into account the evidence found and assign a confidence score to the relationship between companies.