Abstract: A method of producing a polyether alcohol that includes feeding an initiator into a reactor, feeding one or more monomers into the reactor, feeding a polymerization catalyst into the reactor, the polymerization catalyst being a Lewis acid catalyst having a general formula M(R1)1(R2)1(R3)1(R4)0 or 1, separate from feeding the initiator into the reactor, feeding a hydrogen bond acceptor additive into the reactor, the hydrogen bond acceptor additive being a C2 to C20 organic molecule having at least two hydroxyl groups, of which two hydroxyl groups are situated in 1,2-, 1,3-, or 1,4-positions on the organic molecule, and allowing the initiator to react with the one or more monomers in the presence of the polymerization catalyst and the hydrogen bond acceptor additive to form a polyether alcohol having a number average molecular weight greater than a number average molecular weight of the initiator.

Abstract: A wheel fastener alarm assembly is provided having a fastener body with a first portion defining a wrenching surface and a cavity, and a second portion with a threaded portion to attach and detach from a wheel of a vehicle. A sensor array is disposed in the cavity of fastener body to detect an attribute of the fastener body and generate an output signal based on the attribute of the fastener body. An antenna connected to the sensor array to transmit the signal to a remote location. A cap is secured to the first portion of the fastener body and covers the wrenching surface and the cavity opening to define a capped fastener body.

Abstract: A method includes identifying, by a server, a content location assigned to a first content slot of a schedule template defining a display rotation loop based on multiple content slots. Each of the content slots in the schedule is associated with slot criteria, and the schedule template is associated with a digital display. The server generates schedule data that indicates the display rotation loop, the content location, and the slot criteria. Dynamic content retrievable from the content location is displayable at the digital display at a first time. The first time is based on the first slot criteria of the first content slot. The server transmits the schedule data via a network to the digital display.

Abstract: A method includes generating, by a server, an inventory corresponding to a plurality of time slots. The method also includes receiving data corresponding to a plurality of inventory bookings associated with the inventory. A subset of time slots that are assigned to a digital display of a plurality of networked digital displays may be identified by the server based on the data corresponding to the plurality of bookings. Media content that is assigned to each slot of the subset of time slots is identified by the server. The method may further include generating, based on slot criteria corresponding to the subset of time slots, a schedule template that defines a rotation loop. The media content is displayable on the digital display at times defined by the display rotation loop. The schedule template is transmitted to the digital display via a network.

Abstract: An approach is provided in which a knowledge manager generates term tokens from terms included in an original text stream, and generates annotation tokens with corresponding term location information. In turn, the knowledge manager generates a knowledge structure that indexes the term tokens into original text fields and indexes the annotation tokens into parallel fields that align to the original text fields based upon the term location information.

Abstract: An approach is provided in which a knowledge manager generates syntactic annotation tokens that correspond to syntactic relationships between terms included in a source document. The knowledge manager creates a knowledge structure that stores the syntactic annotation tokens in parallel fields and stores the source document terms in original text fields, which align to the parallel fields. In turn, the knowledge manager utilizes the knowledge structure to generate answers to questions based upon the syntactic annotation tokens.

Abstract: Mechanisms are provided for performing context based synonym filtering for natural language processing. Content is parsed into one or more conceptual units, wherein each conceptual unit comprises a portion of text of the content that is associated with a single concept. For each conceptual unit, a term in the conceptual unit is identified that has a synonym to be utilized during natural language processing of the content. A first measure of relatedness of the term to at least one other term in the conceptual unit is determined. A second measure of relatedness of the synonym of the term to the at least one other term in the conceptual unit is determined. A determination whether or not to utilize the synonym when performing natural language processing on the conceptual unit is made based on the first and second measures of relatedness and natural language processing on the content is performed accordingly.

Abstract: According to an aspect, a question answering computer system determines a set of search terms for a given question. A plurality of passages that each includes at least one search term in the set of search terms is identified in response to a search of a document for search terms in the set of search terms. A passage from the plurality of passages is selected. A context based score of the selected passage that indicates the likelihood that the selected passage contains an answer to the question is generated based on criteria that specify a relationship among the set of search terms, content of the passage, and content of at least one other passage in the plurality of passages.

Abstract: A mechanism is provided for retrieving candidate answers from a corpus of documents. The mechanism receives an input question for which an answer is sought. The mechanism extracts features of the input question based on a natural language processing. The mechanism executes a first search of the corpus of documents based on a first subset of the extracted features of the input question and an initial evaluation of a utility of the first subset of extracted features to generate a subset of documents. The mechanism executes a second search of a set of passages extracted from the subset of documents based on a second subset of the extracted features of the input question and a reevaluation of the utility of the second subset of extracted features thereby forming a subset of passages. The mechanism generates query results from the subset of passages matching from which candidate answers are identified.

Abstract: An approach is provided in which a knowledge manager generates syntactic annotation tokens that correspond to syntactic relationships between terms included in a source document. The knowledge manager creates a knowledge structure that stores the syntactic annotation tokens in parallel fields and stores the source document terms in original text fields, which align to the parallel fields. In turn, the knowledge manager utilizes the knowledge structure to generate answers to questions based upon the syntactic annotation tokens.

Abstract: According to an aspect, a question answering computer system determines a set of search terms for a given question. A plurality of passages that each includes at least one search term in the set of search terms is identified in response to a search of a document for search terms in the set of search terms. A passage from the plurality of passages is selected. A context based score of the selected passage that indicates the likelihood that the selected passage contains an answer to the question is generated based on criteria that specify a relationship among the set of search terms, content of the passage, and content of at least one other passage in the plurality of passages.

Abstract: According to an aspect, a question answering computer system determines a set of search terms for a given question. A plurality of passages that each includes at least one search term in the set of search terms is identified in response to a search of a document for search terms in the set of search terms. A passage from the plurality of passages is selected. A context based score of the selected passage that indicates the likelihood that the selected passage contains an answer to the question is generated based on criteria that specify a relationship among the set of search terms, content of the passage, and content of at least one other passage in the plurality of passages.

Abstract: Mechanisms are provided for identifying commonalities between candidate answers generated by a Question and Answer (QA) system in response to an input question. The mechanisms receive a plurality of candidate answers for an input question from the QA system and identify terms present in the candidate answers. The mechanisms determine relationships between terms in each of the candidate answers and determine a common relationship between a first term and a second term, the common relationship being common amongst at least a subset of the plurality of candidate answers, based on the determined relationships between terms in each of the candidate answers. The mechanisms present the plurality of candidate answers and the common relationship to a user.

Abstract: Mechanisms are provided for identifying commonalities between candidate answers generated by a Question and Answer (QA) system in response to an input question. The mechanisms receive a plurality of candidate answers for an input question from the QA system and identify terms present in the candidate answers. The mechanisms determine relationships between terms in each of the candidate answers and determine a common relationship between a first term and a second term, the common relationship being common amongst at least a subset of the plurality of candidate answers, based on the determined relationships between terms in each of the candidate answers. The mechanisms present the plurality of candidate answers and the common relationship to a user.

Abstract: According to an aspect, a question answering computer system determines a set of search terms for a given question. A plurality of passages that each includes at least one search term in the set of search terms is identified in response to a search of a document for search terms in the set of search terms. A passage from the plurality of passages is selected. A context based score of the selected passage that indicates the likelihood that the selected passage contains an answer to the question is generated based on criteria that specify a relationship among the set of search terms, content of the passage, and content of at least one other passage in the plurality of passages.

Abstract: An approach is provided in which a knowledge manager generates syntactic annotation tokens that correspond to syntactic relationships between terms included in a source document. The knowledge manager creates a knowledge structure that stores the syntactic annotation tokens in parallel fields and stores the source document terms in original text fields, which align to the parallel fields. In turn, the knowledge manager utilizes the knowledge structure to generate answers to questions based upon the syntactic annotation tokens.

Abstract: An approach is provided in which a knowledge manager generates syntactic annotation tokens that correspond to syntactic relationships between terms included in a source document. The knowledge manager creates a knowledge structure that stores the syntactic annotation tokens in parallel fields and stores the source document terms in original text fields, which align to the parallel fields. In turn, the knowledge manager utilizes the knowledge structure to generate answers to questions based upon the syntactic annotation tokens.

Abstract: Mechanisms are provided for performing context based synonym filtering for natural language processing. Content is parsed into one or more conceptual units, wherein each conceptual unit comprises a portion of text of the content that is associated with a single concept. For each conceptual unit, a term in the conceptual unit is identified that has a synonym to be utilized during natural language processing of the content. A first measure of relatedness of the term to at least one other term in the conceptual unit is determined. A second measure of relatedness of the synonym of the term to the at least one other term in the conceptual unit is determined. A determination whether or not to utilize the synonym when performing natural language processing on the conceptual unit is made based on the first and second measures of relatedness and natural language processing on the content is performed accordingly.

Abstract: According to an aspect, a question answering computer system determines a set of search terms for a given question. A plurality of passages that each includes at least one search term in the set of search terms is identified in response to a search of a document for search terms in the set of search terms. A passage from the plurality of passages is selected. A context based score of the selected passage that indicates the likelihood that the selected passage contains an answer to the question is generated based on criteria that specify a relationship among the set of search terms, content of the passage, and content of at least one other passage in the plurality of passages.