Abstract: The present inventors have a devised one or more novel methods, systems, and interfaces for facilitating multi-lingual searches. One exemplary method entails creating multiple language-specific indices for a collection of documents, with each index including stemmed and non-stemmed versions of terms from the documents. Users submit queries that are associated with a set of one or more target languages. Query processing entails translating original and stemmed versions of each term in a query into each of the target languages, using one or more techniques that each yield a set of potentially equivalent query terms. Each set of potentially equivalent query terms is then processed against the corresponding language-specific index, using a conventional monolingual search technique, such as a Boolean or natural language query, to identify documents from the collection. The resultant documents are presented to the user in language groupings or by computed relevance.

Abstract: The present inventors devised systems, methods, interfaces, and software that can facilitate identification of law firms and/or legal professionals. One exemplary system receives queries from users regarding a legal topic and responds with a listing of attorneys or law firms that are associated with information ranking them based on their experience in handling matters related to the legal topic. The ranking information is based on links between attorneys and public legal documents, such as judicial opinions, court dockets, briefs, litigation documents, journal articles, patents, trademarks, and so forth that mention them by name.

Abstract: The present invention relates to a lid assembly for a drinking container, the lid assembly comprising a drinking orifice, a gas vent, and a mechanism to ensure that the drinking orifice can be opened only after the gas vent is opened. Furthermore, the present invention provides a lid assembly for a drinking container, which lid assembly allows for easy disassembling for purposes such as cleaning the inside of the lid assembly.

Abstract: The present invention provides a Distinct Author Identification System (“DAIS”) for disambiguating data to discern author entities and link or associate authorships with such author entities. The invention provides powerful disambiguation processes applied across one or more databases to yield a disambiguated authority database of authors. An entire database of publications may be processed by the DAIS to group/link authorships and to identify author entities. The author entities may then be matched or associated with actual authors to establish an authority database of authors. After initial evaluation, the DAIS may be used to reevaluate some or all of the database(s) and/or the authority database established by the DAIS may be used to add or update information. DAIS may use “hierarchical clustering” to link authorships and identify authors based on authorship similarity. DAIS evaluates the likelihood that authorships are from the same author.

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 provides a method and system directed to predicting implicit rhetorical relations between two spans of text, e.g., in a large annotated corpus, such as the Penn Discourse Treebank (“PDTB”), Rhetorical Structure Theory corpus, and the Discourse Graph Bank, and particularly directed to determining a rhetorical relation in the absence of an explicit discourse marker. Surface level features may be used to capture pragmatic information encoded in the absent marker. In one manner a simplified feature set based only on raw text and semantic dependencies is used to improve performance for all relations. By using surface level features to predict implicit rhetorical relations for the large annotated corpus the invention approaches a theoretical maximum performance, suggesting that more data will not necessarily improve performance based on these and similarly situated features.

Abstract: Some known medical terms may function as non-medical terms depending on their particular context. Accordingly, the present inventors devised systems, methods, and software that facilitate determining whether a term that is found in a medical corpus is likely to be a medical term when found in another corpus. An exemplary embodiment receives a term and computes an ambiguity score based on language models for a medical and a non-medical corpus.

Abstract: To facilitate legal research, companies, such as Thomson West provide subscription-based online information-retrieval systems. Seeking to improve these and related IR systems, the present inventors recognized researchers often overlook some types of documents, such as legal encyclopedias and treatises that may be useful to them. Accordingly, the present inventors devised systems, methods, and software that automatically search for other types of documents not specifically targeted by user queries. One exemplary system automatically submits a user query for legal opinions to first and second databases, with the first storing legal opinions and the second storing non-opinion documents, such as headnotes from the West Key Number System, articles from American Law Reports, and/or articles from American Jurisprudence.

Abstract: A method includes analyzing a cluster of conceptually-related portions of text to develop a model and calculating a novelty measurement between a first identified conceptually-related portion of text and the model. The method further includes transmitting a second identified conceptually-related portion of text and a score associated with the novelty measurement from a server to an access device via a signal. Another method includes determining at least two corpora of conceptually-related portions of text. The method also includes calculating a common neighbors similarity measurement between the at least two corpora of conceptually-related portions of text and if the common neighbors similarity measurement exceeds a threshold, merging the at least two corpora of conceptually-related portions of text into a cluster or if the common neighbors similarity measurement does not exceed a threshold, maintaining a non-merge of the at least two corpora of conceptually-related portions of text.

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: Methods and systems for capturing, collecting, analyzing and auditing of electronic documents. In an embodiment, there is provided the ability to present an audit function or “click thru” capability with respect to image files, non-structured text, non-structured html, and pdf 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: Systems and techniques are disclosed to express sequences of codes, and in particular sequences of ASCII characters, in a lossless compressed format. The techniques may include dividing a universe of expressible codes into smaller subsets, called code sets, such that every code exists within one code set, but no code exists within two code sets. The code sets are then utilized for compression based on the heuristic that it is more likely that a next code in the sequences of codes is in the same code set as a previous code in the sequences of codes, rather than that the next code in sequences of codes being in any other code set (sentence structure).

Abstract: Methods and systems for providing financial and/or board member information in a secured manner to members of boards of directors of companies and others through a publicly-available widely disseminated network.

Abstract: The present invention provides systems, methods, and software for automatically processing data included in a document and identifying and recommending citations matching the processed data. The system allows a user to select and submit text segment(s) for analysis and to select from a set of recommended citations a citation(s) that matches the text segment as well as profile data for inclusion in the document. One or more citation libraries or authority databases are queried to find citations for recommendation which best match the text segment selected and submitted by the author. The system automatically processes data submitted by an author to generate a set of recommended citations for consideration and for inclusion within a document while the document is presented by a document rendering application. A selected citation is then formatted and inserted in the document.

Abstract: A networked commercial interaction management method assembles information into bundles that include a data element reference and meta data describing the data element. The method distributes the meta data and the data element reference from the bundles through the network, and distributes copies of the data elements in the bundles from the network node of their respective data owners to the network nodes of accessors using the meta data and the data element reference distributed through the network. In at least one embodiment, the method periodically issues bundle version identifying signals to different nodes of the network. The bundle version identifying signals indicate changes to the data elements to the network nodes of accessors.

Abstract: Methods and systems for capturing, collecting, analyzing and auditing of electronic documents. In an embodiment, there is provided the ability to present an audit function or “click thru” capability with respect to image files, non-structured text, non-structured html, and pdf documents.

Abstract: The present invention provides a Distinct Author Identification System (“DAIS”) for disambiguating data to discern author entities and link or associate authorships with such author entities. The invention provides powerful disambiguation processes applied across one or more databases to yield a disambiguated authority database of authors. An entire database of publications may be processed by the DAIS to group/link authorships and to identify author entities. The author entities may then be matched or associated with actual authors to establish an authority database of authors. After initial evaluation, the DAIS may be used to reevaluate some or all of the database(s) and/or the authority database established by the DAIS may be used to add or update information. DAIS may use “hierarchical clustering” to link authorships and identify authors based on authorship similarity. DAIS evaluates the likelihood that authorships are from the same author.

Abstract: The present invention comprises a system and method for automatically processing one or more citations contained within a document while the document is presented by a document rendering application. The method of the present invention comprises scanning the document to identify an unformatted citation and parsing the unformatted citation to determine one or more citation terms. One or more citation libraries are queried to find citations comprising the one or more citation terms. A citation falling within the scope of the query is selected and inserted into the document. The present invention may further provide enhanced workflow solutions for authors and publishers in preparing documents in structured format for facilitating efficient and accurate validation of references cited or included in papers and other submissions for publication or for review. An author prepares a document containing a set of cited references using a formatting structure.

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.