Patent application number | Description | Published |
20110282652 | MAPPING OF RELATIONSHIP ENTITIES BETWEEN ONTOLOGIES - Methods, apparatus and systems, including computer program products, for reducing an error rate when mapping entities between a first ontology and a second ontology. One or more of a general language dictionary and an industry-specific dictionary are provided. Natural language processing of the first ontology is performed to identify one or more candidate relationship entities in the first ontology. Each candidate relationship entity includes a compound name having two or more semantic labels, and each candidate relationship entity has a name that neither exists in the general language dictionary or the industry-specific dictionary. Each of the one or more candidate relationship entities in the first ontology is mapped to one or more entities in the second ontology using one or more configurable computer-implemented mapping algorithms. | 11-17-2011 |
20120078636 | EVIDENCE DIFFUSION AMONG CANDIDATE ANSWERS DURING QUESTION ANSWERING - Diffusing evidence among candidate answers during question answering may identify a relationship between a first candidate answer and a second candidate answer, wherein the candidate answers are generated by a question-answering computer process, the candidate answers have associated supporting evidence, and the candidate answers have associated confidence scores. All or some of the evidence may be transferred from the first candidate answer to the second candidate answer based on the identified relationship. A new confidence score may be computed for the second candidate answer based on the transferred evidence. | 03-29-2012 |
20120078826 | FACT CHECKING USING AND AIDING PROBABILISTIC QUESTION ANSWERING - A system, a method and a computer program product for verifying a statement are provided. The system is configured to receive a statement. The system is configured to decompose the received statement into one or more sets of question and answer pairs. The system is configured to determine a confidence value of each answer in the one or more question and answer pair sets. The system is configured to combine the determined confidence values. The combined confidence values represent a probability that the received statement is evaluated as true. | 03-29-2012 |
20120078873 | USING ONTOLOGICAL INFORMATION IN OPEN DOMAIN TYPE COERCION - A computer-implemented system, method and program product generates answers to questions in an input query text string. The method includes determining, by a programmed processor unit, a lexical answer type (LAT) string associated with an input query; automatically obtaining a candidate answer string to the input query from a data corpus; mapping the query LAT string to a first type string in a structured resource; mapping the candidate answer string to a second type string in the structured resource; and determining if the first type string and the second type string are disjointed; and scoring the candidate answer string based on the determination of the types being disjointed wherein the structured resource includes a semantic database providing ontological content. | 03-29-2012 |
20120078890 | LEXICAL ANSWER TYPE CONFIDENCE ESTIMATION AND APPLICATION - A system, method and computer program product for automatically estimating the confidence of a detected LAT to provide a more accurate overall score for an obtained candidate answer. A confidence “score” or value of each detected LAT is obtained, and the system and method performs combining the confidence score with a degree of match between a LAT and an AnswerType of the candidate answer to provide improved overall score for the candidate answer. | 03-29-2012 |
20120323906 | LEXICAL ANSWER TYPE CONFIDENCE ESTIMATION AND APPLICATION - A system, method and computer program product for automatically estimating the confidence of a detected LAT to provide a more accurate overall score for an obtained candidate answer. A confidence “score” or value of each detected LAT is obtained, and the system and method performs combining the confidence score with a degree of match between a LAT and an AnswerType of the candidate answer to provide improved overall score for the candidate answer. | 12-20-2012 |
20120330882 | FACT CHECKING USING AND AIDING PROBABILISTIC QUESTION ANSWERING - A system and a computer program product for verifying a statement are provided. The system is configured to receive a statement. The system is configured to decompose the received statement into one or more sets of question and answer pairs. The system is configured to determine a confidence value of each answer in the one or more question and answer pair sets. The system is configured to combine the determined confidence values. The combined confidence values represent a probability that the received statement is evaluated as true. | 12-27-2012 |
20120330921 | USING ONTOLOGICAL INFORMATION IN OPEN DOMAIN TYPE COERCION - A computer-implemented system, method and program product generates answers to questions in an input query text string. The method includes determining, by a programmed processor unit, a lexical answer type (LAT) string associated with an input query; automatically obtaining a candidate answer string to the input query from a data corpus; mapping the query LAT string to a first type string in a structured resource; mapping the candidate answer string to a second type string in the structured resource; and determining if the first type string and the second type string are disjointed; and scoring the candidate answer string based on the determination of the types being disjointed wherein the structured resource includes a semantic database providing ontological content. | 12-27-2012 |
20130018652 | EVIDENCE DIFFUSION AMONG CANDIDATE ANSWERS DURING QUESTION ANSWERING - Diffusing evidence among candidate answers during question answering may identify a relationship between a first candidate answer and a second candidate answer, wherein the candidate answers are generated by a question-answering computer process, the candidate answers have associated supporting evidence, and the candidate answers have associated confidence scores. All or some of the evidence may be transferred from the first candidate answer to the second candidate answer based on the identified relationship. A new confidence score may be computed for the second candidate answer based on the transferred evidence. | 01-17-2013 |
20130035930 | PREDICTING LEXICAL ANSWER TYPES IN OPEN DOMAIN QUESTION AND ANSWERING (QA) SYSTEMS - In an automated Question Answer (QA) system architecture for automatic open-domain Question Answering, a system, method and computer program product for predicting the Lexical Answer Type (LAT) of a question. The approach is completely unsupervised and is based on a large-scale lexical knowledge base automatically extracted from a Web corpus. This approach for predicting the LAT can be implemented as a specific subtask of a QA process, and/or used for general purpose knowledge acquisition tasks such as frame induction from text. | 02-07-2013 |
20130035931 | PREDICTING LEXICAL ANSWER TYPES IN OPEN DOMAIN QUESTION AND ANSWERING (QA) SYSTEMS - In an automated Question Answer (QA) system architecture for automatic open-domain Question Answering, a system, method and computer program product for predicting the Lexical Answer Type (LAT) of a question. The approach is completely unsupervised and is based on a large-scale lexical knowledge base automatically extracted from a Web corpus. This approach for predicting the LAT can be implemented as a specific subtask of a QA process, and/or used for general purpose knowledge acquisition tasks such as frame induction from text. | 02-07-2013 |
20130212542 | Automatic Detection of User Preferences for Alternate User Interface Model - A method for automatic detection of user preferences for alternate user interface model includes operating a digital device with an active user interface model and receiving one or more input signals from a user of the digital device. The method includes comparing the one or more input signals with one or more latent user interface models and determining if one of the latent user interface models has a higher likelihood given the one or more input signals than the active user interface models. The method also includes responsively substituting the latent user interface with the highest likelihood given the one or more input signals for the active user interface model. | 08-15-2013 |
20130246046 | RELATION TOPIC CONSTRUCTION AND ITS APPLICATION IN SEMANTIC RELATION EXTRACTION - Systems and method automatically collect training data from manually created semantic relations, automatically extract rules from the training data to produce extracted rules, and automatically characterize existing semantic relations in the training data based on co-occurrence of the extracted rules in the existing semantic relations. Such systems and methods automatically construct semantic relation topics based on the characterization of the existing semantic relations, and group instances of the training data into the semantic relation topics to detect new semantic relations. | 09-19-2013 |
20130282363 | LEXICAL ANSWER TYPE CONFIDENCE ESTIMATION AND APPLICATION - A system, method and computer program product for automatically estimating the confidence of a detected LAT to provide a more accurate overall score for an obtained candidate answer. A confidence “score” or value of each detected LAT is obtained, and the system and method performs combining the confidence score with a degree of match between a LAT and an AnswerType of the candidate answer to provide improved overall score for the candidate answer. | 10-24-2013 |
20140072947 | GENERATING SECONDARY QUESTIONS IN AN INTROSPECTIVE QUESTION ANSWERING SYSTEM - A method of generating secondary questions in a question-answer system. Missing information is identified from a corpus of data using a computerized device. The missing information comprises any information that improves confidence scores for candidate answers to a question. The computerized device automatically generates a plurality of hypotheses concerning the missing information. The computerized device automatically generates at least one secondary question based on each of the plurality of hypotheses. The hypotheses are ranked based on relative utility to determine an order in which the computerized device outputs the at least one secondary question to external sources to obtain responses. | 03-13-2014 |
20140141399 | MULTI-DIMENSIONAL FEATURE MERGING FOR OPEN DOMAIN QUESTION ANSWERING - Methods/systems receive a question and automatically search sources of data containing passages to produce candidate answers to the question. The searching identifies passages that support each of the candidate answers based on scoring features that indicate whether the candidate answers are correct answers to the question. These methods/systems automatically create a scoring feature-specific matrix for each scoring feature. Each scoring feature-specific matrix has a score field for each different combination of text passage and question term (vector), and each score field holds a score value (vector value) indicating how each different combination of text passage and question term supports the candidate answers as being a correct answer to the question. Next, such methods/systems automatically combine multiple such vectors to produce a combined vector score for each of the candidate answers, and then rank the candidate answers based on the combined scores. | 05-22-2014 |
20140141401 | MULTI-DIMENSIONAL FEATURE MERGING FOR OPEN DOMAIN QUESTION ANSWERING - Methods/systems receive a question and automatically search sources of data containing passages to produce candidate answers to the question. The searching identifies passages that support each of the candidate answers based on scoring features that indicate whether the candidate answers are correct answers to the question. These methods/systems automatically create a scoring feature-specific matrix for each scoring feature. Each scoring feature-specific matrix has a score field for each different combination of text passage and question term (vector), and each score field holds a score value (vector value) indicating how each different combination of text passage and question term supports the candidate answers as being a correct answer to the question. Next, such methods/systems automatically combine multiple such vectors to produce a combined vector score for each of the candidate answers, and then rank the candidate answers based on the combined scores. | 05-22-2014 |
20140272904 | COMBINING DIFFERENT TYPE COERCION COMPONENTS FOR DEFERRED TYPE EVALUATION - In a method of answering questions, a question is received, a question LAT is determined, and a candidate answer to the question is identified. Preliminary types for the candidate answer are determined using first components to produce the preliminary types. Each of the first components produces a preliminary type using different methods. A first type-score representing a degree of match between the preliminary type and the question LAT is produced. Each preliminary type and each first type-score is evaluated using second components. Each of the second components produces a second score based on a combination of the first type-score and a measure of degree that the preliminary type matches the question LAT. The second components use different methods to produce the second score. A final score representing a degree of confidence that the candidate answer matches the question LAT is calculated based on the second score. | 09-18-2014 |