Abstract: A method for processing a sematic description of a text entity is proposed. The method includes: acquiring a plurality of target texts containing a main entity, and extracting related entities describing the main entity from each target text; acquiring a sub-relation vector of a pair of the main entity and each related entity in each target text; calculating a similarity distance of the main entity between different target texts based on the sub-relation vector; and determining a semantic similarity of the main entity descripted in different target texts based on the similarity distance.

Abstract: Embodiments of the present disclosure provide a method, apparatus, computer device, and storage medium for verifying community question answer data. The method may include: acquiring a community question answer data set, and generating a plurality of question answer pairs based on the community question answer data set, a question answer pair including: a question, and a to-be-verified answer corresponding to the question; generating an authoritative data set based on data stored in at least one confidence source site; and performing an authority verification on the to-be-verified answer, based on a score of a similarity between the to-be-verified answer and authoritative data in the authoritative data set in at least one dimension.

Abstract: A method for obtaining an answer to a question is provided. The method may include: acquiring a question; determining at least a part of articles in a preset article database as candidate articles, and determining first scores of the candidate articles respectively, the first score of any of the candidate articles representing a matching degree between the candidate article and the question; determining at least a part of texts in each of the candidate articles as candidate texts, and determining second scores of the candidate texts respectively, the second score of any of the candidate texts representing a matching degree between the candidate text and the question; and determining at least a part of the candidate texts as the answer based on a score set of each of the candidate texts, the score set of any of the candidate texts including the second score and the first score.

Abstract: A method for processing a sematic description of a text entity is proposed. The method includes: acquiring a plurality of target texts containing a main entity, and extracting related entities describing the main entity from each target text; acquiring a sub-relation vector of a pair of the main entity and each related entity in each target text; calculating a similarity distance of the main entity between different target texts based on the sub-relation vector; and determining a semantic similarity of the main entity descripted in different target texts based on the similarity distance.

Abstract: The present application discloses a method, an apparatus, a device, and a computer readable storage medium for determining a target content, the method includes: splitting an article paragraph determined according to search information into multiple sentences, and determining a relationship between the sentences according to attributes of the sentences; determining a sentence representation corresponding to each of the sentences according to the relationship between the sentences; and determining a target sentence according to the sentence representation of the sentence and the search information, and determining a target content according to the target sentence, so that the method, the apparatus, the device, and the computer readable storage medium provided by the present disclosure can analyze each of the sentences in combination with the relationship between the sentences, thereby determining a target content that more closely matches the search information.

Abstract: A method for obtaining an answer to a question is provided. The method may include: acquiring a question; determining at least a part of articles in a preset article database as candidate articles, and determining first scores of the candidate articles respectively, the first score of any of the candidate articles representing a matching degree between the candidate article and the question; determining at least a part of texts in each of the candidate articles as candidate texts, and determining second scores of the candidate texts respectively, the second score of any of the candidate texts representing a matching degree between the candidate text and the question; and determining at least a part of the candidate texts as the answer based on a score set of each of the candidate texts, the score set of any of the candidate texts including the second score and the first score.

Abstract: Embodiments of the present disclosure provide a method, apparatus, computer device, and storage medium for verifying community question answer data. The method may include: acquiring a community question answer data set, and generating a plurality of question answer pairs based on the community question answer data set, a question answer pair including: a question, and a to-be-verified answer corresponding to the question; generating an authoritative data set based on data stored in at least one confidence source site; and performing an authority verification on the to-be-verified answer, based on a score of a similarity between the to-be-verified answer and authoritative data in the authoritative data set in at least one dimension.