Abstract:
Provided is a natural language query answering method. The natural language query answering method includes generating a query axiom from an input query, generating answer candidates from the input query, filtering the answer candidates based on a similarity between the query axiom and the answer candidates, reasoning out the answer candidates by using at least one of an inductive reasoning method, a deductive reasoning method, and an abductive reasoning method, calculating reliability of the answer candidates, determining ranks of the answer candidates based on the calculated reliability, and comparing a threshold value with a reliability ratio of reliability of an answer candidate determined as No. 1 rank to reliability of an answer candidate determined as No. 2 rank, readjusting the determined ranks according to a result of the comparison, and detecting a No. 1 rank answer candidate, determined through the readjustment, as a final answer.
Abstract:
Provided are an interactive question answering apparatus and method, which improve an unnatural question sentence and prevent the impossibility of a question in a state which does not know additional information, thereby providing a multimodal-based question answering method enabling a person to provide a question like conversing. Also, a question answering service is exposed to potential product purchasers of content such as an image, video, audio, etc., thereby providing an environment available to advertisement market.
Abstract:
A method for establishing paraphrasing data for a machine translation system includes selecting a paraphrasing target sentence through application of an object language model to a translated sentence that is obtained by machine-translating a source language sentence, extracting paraphrasing candidates that can be paraphrased with the paraphrasing target sentence from a source language corpus DB, performing machine translation with respect to the paraphrasing candidates, selecting a final paraphrasing candidate by applying the object language model to the result of the machine translation with respect to the paraphrasing candidates, and confirming the paraphrasing target sentence and the final paraphrasing candidate as paraphrasing lexical patterns using a bilingual corpus and storing the paraphrasing lexical patterns in a paraphrasing DB. According to the present invention, the consistent paraphrasing data can be established since the paraphrasing data is automatically established.