DETECTING OUT-OF-DOMAIN TEXT DATA IN DIALOG SYSTEMS USING ARTIFICIAL INTELLIGENCE
Methods, systems, and computer program products for detecting out-of-domain text data in dialog systems using artificial intelligence techniques are provided herein. A computer-implemented method includes updating artificial intelligence techniques related to out-of-domain text data detection, the u...
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| creator | Kunc, Ladislav Qian, Cheng Qi, Haode Potdar, Saloni |
| description | Methods, systems, and computer program products for detecting out-of-domain text data in dialog systems using artificial intelligence techniques are provided herein. A computer-implemented method includes updating artificial intelligence techniques related to out-of-domain text data detection, the updating based on encoding training data and generating regularized representations of at least a portion of the encoded training data by combining the at least a portion of the encoded training data and at least one intent centroid associated with the updated artificial intelligence techniques; encoding input text data; computing out-of-domain scores, in connection with the at least one dialog system, for at least a portion of the encoded input text data by processing the at least a portion of encoded input data using at least a portion of the one or more updated artificial intelligence techniques; and performing one or more automated actions based on the computed out-of-domain scores. |
| format | Patent |
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| subjects | CALCULATING COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS COMPUTING COUNTING ELECTRIC DIGITAL DATA PROCESSING PHYSICS |
| title | DETECTING OUT-OF-DOMAIN TEXT DATA IN DIALOG SYSTEMS USING ARTIFICIAL INTELLIGENCE |
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