摘要:
An unknown annotator and its annotation type system are compared against a reference annotation type system. The comparison is done by providing a plurality of documents, and annotating each document using the reference set of document annotators, producing instances of reference annotation types, to generate a pre-annotated reference document set, and using the subject annotator and its subject annotation type system to generate a pre-annotated evaluation document set. Documents in the pre-annotated evaluation document set are compared to documents in the pre-annotated reference document set, and matches in location, within the compared documents, of instances of the subject annotation types and the reference annotation types are identified. Based on the matching data, reference document annotation types are selected that sufficiently correlate with the subject annotation type system. Based on the type system matching, the subject annotator and its type system are associated with a plurality of reference industrial taxonomy nodes.
摘要:
The present disclosure relates generally to question answering systems and methods and, particularly, to systems and methods for domain adaptation in question answering.
摘要:
A decision-support system for problem solving comprises software modules embodied on a computer readable medium, and the software modules comprise an input/output module and a question-answering module. The method receives problem case information using the input/output module, generates a query based on the problem case information, and generates a plurality of answers for the query using the question-answering module. The method also calculates numerical values for multiple evidence dimensions from evidence sources for each of the answers using the question-answering module and calculates a corresponding confidence value for each of the answers based on the numerical value of each evidence dimension using the question-answering module. Further, the method outputs the answers, the corresponding confidence values, and the numerical values of each evidence dimension for one or more selected answers using the input/output module.
摘要:
A decision-support system for medical diagnosis and treatment comprises software modules embodied on a computer readable medium, and the software modules comprise an input/output module and a question-answering module. The method receives patient case information using the input/output module, and generates a medical diagnosis or treatment query based on the patient case information and also generates a plurality of medical diagnosis or treatment answers for the query using the question-answering module. The method also calculates numerical values for multiple medical evidence dimensions from medical evidence sources for each of the answers using the question-answering module and also calculates a corresponding confidence value for each of the answers based on the numerical value of each evidence dimension using the question-answering module. The method further outputs the medical diagnosis or treatment answers, the corresponding confidence values, and the numerical values of each medical evidence dimension for one or more selected medical diagnosis or treatment answers using the input/output module.
摘要:
The disclosed system and method apply stores of factual information to correct errors in digital text, for example, generated from OCR, speech and/or handwriting recognition devices, and other automatic recognition devices. A text produced by OCR, speech recognition, handwriting recognition, and others may be processed to extract discussed facts. Databases of facts are searched based on information in the text. After comparing facts asserted in the text with the factual data from the databases, suggested corrections of the text are produced.
摘要:
An evidence evaluation method and system based on question answering converts a report of analyzed information and/or a model of information into a collection of questions, determines answers for the collection of questions. A fact in the report is marked as being supported if one or more of the answers for the collection of questions support the fact. A fact in the report of analyzed facts is marked as being refuted if one or more of the answers for the collection of questions refute the fact. The method and system also may collect the answers as evidence and add the evidence to the model of information to create an updated model of information. The steps may be repeated using the updated report and updated model.
摘要:
A system, program product, and methodology automatically scores candidate answers to questions in a question and answer system. In the candidate answer scoring method, a processor device performs one or more of receiving one or more candidate answers associated with a query string, the candidates obtained from a data source having semi-structured content; identifying one or more documents with semi-structured content from the data source having a candidate answer; and for each identified document: extracting one or more entity structures embedded in the identified document; determining a number of the entity structures in the identified document that appear in the received input query; and, computing a score for a candidate answer in the document as a function of the number Overall system efficiency is improved by giving the correct candidate answers higher scores through leveraging context-dependent structural information such as links to other documents and embedded tags.
摘要:
An evidence evaluation method and system based on question answering converts a report of analyzed information and/or a model of information into a collection of questions, determines answers for the collection of questions. A fact in the report is marked as being supported if one or more of the answers for the collection of questions support the fact. A fact in the report of analyzed facts is marked as being refuted if one or more of the answers for the collection of questions refute the fact. The method and system also may collect the answers as evidence and add the evidence to the model of information to create an updated model of information. The steps may be repeated using the updated report and updated model.
摘要:
An unknown annotator and its annotation type system are compared against a reference annotation type system. The comparison is done by providing a plurality of documents, and annotating each document using the reference set of document annotators, producing instances of reference annotation types, to generate a pre-annotated reference document set, and using the subject annotator and its subject annotation type system to generate a pre-annotated evaluation document set. Documents in the pre-annotated evaluation document set are compared to documents in the pre-annotated reference document set, and matches in location, within the compared documents, of instances of the subject annotation types and the reference annotation types are identified. Based on the matching data, reference document annotation types are selected that sufficiently correlate with the subject annotation type system. Based on the type system matching, the subject annotator and its type system are associated with a plurality of reference industrial taxonomy nodes.