Abstract: The present application discloses a method and an apparatus for information query, and an electronic device, which relates to a field of deep learning (DL), natural language processing (NLP) and artificial intelligence (AI) technology. The method includes: receiving a query sentence, segmenting the query sentence to obtain word segments, and obtaining a dependency relationship between two word segments and part of speech of the word segments; obtaining a coding sequence of the query sentence according to the dependency relationship and the part of speech of the word segments; matching the coding sequence with a generalized template to obtain a core corpus of the query sentence, wherein the generalized template comprises part of speech to be extracted and a dependency relationship to be extracted; and obtaining a query result corresponding to the query sentence based on the core corpus.

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.

Abstract: The present application discloses a method and an apparatus for information query, and an electronic device, which relates to a field of deep learning (DL), natural language processing (NLP) and artificial intelligence (AI) technology. The method includes: receiving a query sentence, segmenting the query sentence to obtain word segments, and obtaining a dependency relationship between two word segments and part of speech of the word segments; obtaining a coding sequence of the query sentence according to the dependency relationship and the part of speech of the word segments; matching the coding sequence with a generalized template to obtain a core corpus of the query sentence, wherein the generalized template comprises part of speech to be extracted and a dependency relationship to be extracted; and obtaining a query result corresponding to the query sentence based on the core corpus.