Event detection and classification method, apparatus, and device

A computing system, comprising:

• one or more processors;
• and
• one or more storage devices, the one or more storage devices storing computer-executable instructions, the executable instructions when executed by the one or more processors, causing the one or more processors to, individually or collectively, perform operations including:
• obtaining event description information provided by a plurality of different event initiators, the plurality of different event initiators initiating a target event to a same event target party in a same event service, each event description information provided by an event initiator including a character sequence;
• converting, into a token sequence, a plurality of character sequences of the event description information provided by the plurality of different event initiators, the token sequence including a plurality of sub-token sequences each corresponding to a character sequence of event description information provided by an event initiator;
• setting a set of a first number of token positions for each sub-token sequence of the plurality of sub-token sequences, and sequentially placing characters in each sub-token sequence of the plurality of sub-token sequences at a corresponding set of the first number of token positions based on an order of each sub-token sequence;
• and
• classifying the target event, based on a sub-token sequence placed at a set of the first number of token positions, token information of an event initiator corresponding to the set of the first number of token positions, and a pre-trained text classification model,
• wherein the classifying includes:
• for each event description information, obtaining an embedded feature corresponding to a character in the event description information:
• obtaining, by using two layers of an encoder, an encoding result corresponding to the event description based on the embedded feature;
• and
• classifying the target event based on comparing encoding results of the event description information provided by the plurality of different event initiators to determine whether the event description information provided by two or more of the plurality of event initiators is contradictory to one another.

A non-transitory storage medium, the storage medium having computer-executable instructions stored thereon, the executable instructions, when executed by one or more processors, causing the one or more processors to, individually or collectively, implement acts comprising:

• obtaining event description information provided by a plurality of different event initiators, the plurality of different event initiators initiating a target event to a same event target party in a same event service, each event description information provided by an event initiator including a character sequence;
• converting, into a token sequence, a plurality of character sequences of the event description information provided by the plurality of different event initiators, the token sequence including a plurality of sub-token sequences each corresponding to a character sequence of event description information provided by an event initiator;
• setting a set of a first number of token positions for each sub-token sequence of the plurality of sub-token sequences, and sequentially placing characters in each sub-token sequence of the plurality of sub-token sequences at a corresponding set of the first number of token positions based on an order of each sub-token sequence;
• and
• classifying the target event, based on a sub-token sequence placed at a set of the first number of token positions, token information of an event initiator corresponding to the set of the first number of token positions, and a pre-trained text classification model,
• wherein the classifying includes:
• for each event description information, obtaining an embedded feature corresponding to a character in the event description information;
• obtaining, by using two layers of an encoder, an encoding result corresponding to the event description based on the embedded feature;
• and
• classifying the target event based on comparing encoding results of the event description information provided by the plurality of different event initiators to determine whether the event description information provided by two or more of the plurality of event initiators is contradictory to one another.