Abstract: A method for answer questioning based on a table includes the following. A question text to be processed and an information table for question answering are determined, and the information table includes: at least one attribute name. A character vector sequence, a position vector sequence and a type vector sequence are determined based on the question text and the at least one attribute name. An attribute name segment and an attribute value segment in the question text are determined based on the character vector sequence, the position vector sequence and the type vector sequence. An answer corresponding to the question text is determined based on the attribute name segment, the attribute value segment and the information table.

Abstract: A method for generating dialog data is provided. An implementation is: obtaining a target dialog data template, where the target dialog data template includes one or more target single-round dialog data templates, each target single-round dialog data template includes one or more keyword slots and related information about each keyword slot, and the related information about each keyword slot includes location information and attribute information; for each keyword slot, determining, from a keyword data set at least based on the attribute information of the keyword slot, one or more target keywords that match the keyword slot; and for each target single-round dialog data template, filling the target single-round dialog data template with the one or more target keywords based on the location information of the one or more keyword slots, to obtain target dialog data.

Abstract: An intelligent dialogue method and apparatus and medium are provided. The method includes: obtaining a pre-matching result by pre-matching a query to be processed with a table content of a target table; extracting a character segment having a highest matching degree with the attribute value from the query based on the attribute value having the highest matching degree with the query; determining a target attribute value semantically associated with the character segment based on the attribute value of each column attribute; generating a structured query language (SQL) query statement corresponding to the query based on the query, the attribute name of each column attribute, the highest matching level of the attribute name, the highest matching level of the attribute value and the target attribute value; and generating a reply statement based on a result obtained by searching a database based on the SQL query statement.