SYSTEMS AND METHODS FOR INTERPRETING NATURAL LANGUAGE SEARCH QUERIES

    公开(公告)号:US20210280174A1

    公开(公告)日:2021-09-09

    申请号:US16807415

    申请日:2020-03-03

    Abstract: Systems and methods are described herein for interpreting natural language search queries that account for contextual relevance of words of the search query that would ordinarily not be processed, including, for example, processing each word of the query. Each term is associated with a respective part of speech, and a frequency of occurrence of each term in content metadata is determined. A relevance of each term is then determined based on its respective part of speech and frequency. The natural language search query is then interpreted based on the importance or relevance of each term.

    SYSTEMS AND METHODS FOR INTERPRETING NATURAL LANGUAGE SEARCH QUERIES

    公开(公告)号:US20230214382A1

    公开(公告)日:2023-07-06

    申请号:US17943874

    申请日:2022-09-13

    CPC classification number: G06F16/24522 G06F16/3334 G06F16/685

    Abstract: Systems and methods are described herein for interpreting natural language search queries that account for contextual relevance of words of the search query that would ordinarily not be processed, including, for example, processing each word of the query. Each term or phrase is associated with a respective part of speech, and a frequency of occurrence of a combination of adjacent terms or phrases public domain is determined. A relevance of each term is then determined based on its respective type of term and frequency of occurrence in the public domain. The natural language search query is then interpreted based on the importance or relevance of each term.

    SYSTEMS AND METHODS FOR PROCESSING NEGATION IN NATURAL LANGUAGE SEARCH QUERIES

    公开(公告)号:US20230070618A1

    公开(公告)日:2023-03-09

    申请号:US17619035

    申请日:2020-05-21

    Abstract: Systems and methods are described herein for processing negation in a natural language search query. The natural language search query is parsed to identify a plurality of portions of the natural language search query, and a first portion is determined to be a negation portion. A second portion to which the negation portion applies and a third portion to which the negation portion does not apply are then identified, and a content query is generated which includes a negation parameter corresponding to the second portion, and at least one other parameter corresponding to at least the third portion. Search results of the content query are then generated for output to the user.

    Systems and methods for interpreting natural language search queries

    公开(公告)号:US11507572B2

    公开(公告)日:2022-11-22

    申请号:US17038643

    申请日:2020-09-30

    Abstract: Systems and methods are described herein for interpreting natural language search queries that account for contextual relevance of words of the search query that would ordinarily not be processed, including, for example, processing each word of the query. Each term or phrase is associated with a respective part of speech, and a frequency of occurrence of a combination of adjacent terms or phrases public domain is determined. A relevance of each term is then determined based on its respective type of term and frequency of occurrence in the public domain. The natural language search query is then interpreted based on the importance or relevance of each term.

    Systems and methods for interpreting natural language search queries

    公开(公告)号:US11474999B2

    公开(公告)日:2022-10-18

    申请号:US17038643

    申请日:2020-09-30

    Abstract: Systems and methods are described herein for interpreting natural language search queries that account for contextual relevance of words of the search query that would ordinarily not be processed, including, for example, processing each word of the query. Each term or phrase is associated with a respective part of speech, and a frequency of occurrence of a combination of adjacent terms or phrases public domain is determined. A relevance of each term is then determined based on its respective type of term and frequency of occurrence in the public domain. The natural language search query is then interpreted based on the importance or relevance of each term.

    QUERY CORRECTION BASED ON REATTEMPTS LEARNING

    公开(公告)号:US20220318283A1

    公开(公告)日:2022-10-06

    申请号:US17218963

    申请日:2021-03-31

    Abstract: Systems and methods are described to access a set of reattempt query pairs, where each respective pair comprises an initial query and a reattempt of the initial query, and is associated with an indication of whether a reply generated for output based on the respective query pair was acceptable. In response to determining that a second query received after a first query constitutes a reattempt of the first query, a query pair in the set of reattempt query pairs may be identified that matches at least one of the first query and the second query, and is associated with an indication that a reply generated for output based on the query pair was acceptable. A search may be performed based on the identified query pair in the set of reattempt query pairs, and a reply may be generated for output based on the performed search.

    SYSTEMS AND METHODS FOR HANDLING MULTILINGUAL QUERIES

    公开(公告)号:US20220067308A1

    公开(公告)日:2022-03-03

    申请号:US17001911

    申请日:2020-08-25

    Abstract: Systems and methods for handling multilingual queries are provided. One example method includes receiving, at a computing device, an input, wherein the input comprises a multi-lingual query comprising at least a first source language and a second source language. The multi-lingual query is translated, word for word, into a destination language to produce a monolingual query, with the word order of the multilingual query and the word order of the monolingual query being the same. The monolingual query is processed using natural language processing to map the mono-lingual query to a natural language query in the destination language.

    SYSTEMS AND METHODS FOR INTERPRETING NATURAL LANGUAGE SEARCH QUERIES USING TRAINING DATA

    公开(公告)号:US20210280175A1

    公开(公告)日:2021-09-09

    申请号:US16807419

    申请日:2020-03-03

    Abstract: A frequency of occurrence for each term in a training data set is determined in relation to the entire training data set. A relational data structure is generated that associates each term in the training data with its respective frequency. Any term that has a frequency below a threshold frequency is then added to a list of relevant words. When a natural language search query is received, a plurality of terms in the natural language search query are identified and compared with the list of relevant words. If any term of the natural language search query is included in the relevant words list, that term is identified as a keyword. The natural language search query is then interpreted based on any identified keywords.

    QUERY CORRECTION BASED ON REATTEMPTS LEARNING

    公开(公告)号:US20240403334A1

    公开(公告)日:2024-12-05

    申请号:US18736118

    申请日:2024-06-06

    Abstract: Systems and methods are described to access a set of reattempt query pairs, where each respective pair comprises an initial query and a reattempt of the initial query, and is associated with an indication of whether a reply generated for output based on the respective query pair was acceptable. In response to determining that a second query received after a first query constitutes a reattempt of the first query, a query pair in the set of reattempt query pairs may be identified that matches at least one of the first query and the second query, and is associated with an indication that a reply generated for output based on the query pair was acceptable. A search may be performed based on the identified query pair in the set of reattempt query pairs, and a reply may be generated for output based on the performed search.

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