-
公开(公告)号：US20230169957A1
公开(公告)日：2023-06-01
申请号：US17539248
申请日：2021-12-01
Applicant: Bank of America Corporation
Inventor： Ramakrishna R. Yannam , Isaac Persing , Emad Noorizadeh , Sushil Golani , Hari Gopalkrishnan , Dana Patrice Morrow Branch
CPC classification number: G10L15/16 , G10L15/063 , G10L15/22 , G10L15/30 , G10L2015/0638
Abstract: Apparatus and methods for leveraging machine learning and artificial intelligence to assess a sentiment of an utterance expressed by a user during an interaction between an interactive response system and the user is provided. The methods may include a natural language processor processing the utterance to output an utterance intent. The methods may also include a signal extractor processing the utterance, the utterance intent and previous utterance data to output utterance signals. The methods may additionally include an utterance sentiment classifier using a hierarchy of rules to extract, from a database, a label, the extracting being based on the utterance signals. The methods may further include a sequential neural network classifier using a trained algorithm to process the label and a sequence of historical labels to output a sentiment score.
-
2.发明公开公开(公告)号：US20230169958A1
公开(公告)日：2023-06-01
申请号：US17539314
申请日：2021-12-01
Applicant: Bank of America Corporation
Inventor： Isaac Persing , Emad Noorizadeh , Ramakrishna R. Yannam , Sushil Golani , Hari Gopalkrishnan , Dana Patrice Morrow Branch
CPC classification number: G10L15/16 , G10L15/1815 , G10L15/22 , G10L2015/081
Abstract: Apparatus and methods for leveraging machine learning and artificial intelligence to generate a response to an utterance expressed by a user during an interaction between an interactive response system and the user is provided. The methods may include a natural language processor processing the utterance to output an utterance intent. The methods may also include a signal extractor processing the utterance, the utterance intent and previous utterance data to output utterance signals. The methods may additionally include an utterance sentiment classifier using a hierarchy of rules to extract, from a database, a label, the extracting being based on the utterance signals. The methods may further include a sequential neural network classifier using a trained algorithm to process the label and a sequence of historical labels to output a sentiment score. The methods may further include, based on the utterance intent, the label and the score, to output a response.
-
公开(公告)号：US11935531B2
公开(公告)日：2024-03-19
申请号：US17539262
申请日：2021-12-01
Applicant: Bank of America Corporation
Inventor： Isaac Persing , Emad Noorizadeh , Ramakrishna R. Yannam , Sushil Golani , Hari Gopalkrishnan , Dana Patrice Morrow Branch
CPC classification number: G10L15/22 , G10L15/063 , G10L15/30 , G10L2015/223
Abstract: Apparatus and methods for leveraging machine learning and artificial intelligence to assess a sentiment of an utterance expressed by a user during an interaction between an interactive response system and the user is provided. The methods may include a natural language processor processing the utterance to output an utterance intent. The methods may also include a signal extractor processing the utterance, the utterance intent and previous utterance data to output utterance signals. The methods may additionally include an utterance sentiment classifier using a hierarchy of rules to extract, from a database, a label, the extracting being based on the utterance signals. The methods may further include a sequential neural network classifier using a trained algorithm to process the label and a sequence of historical labels to output a sentiment score.
-
4.发明公开公开(公告)号：US20230169964A1
公开(公告)日：2023-06-01
申请号：US17539282
申请日：2021-12-01
Applicant: Bank of America Corporation
Inventor： Ramakrishna R. Yannam , Isaac Persing , Emad Noorizadeh
CPC classification number: G10L15/1815 , G10L15/16 , G10L15/22 , G06F40/30 , G06F3/04817 , G10L15/30 , G10L15/063
Abstract: Aspects of the disclosure relate to using an apparatus for flagging and removing real time workflows that produce sub-optimal results. Such an apparatus may include an utterance sentiment classifier. The apparatus stores a hierarchy of rules. Each of the rules is associated with one or more rule signals. In response to receiving the one or more utterance signals, the classifier iterates through the hierarchy of rules in sequential order to identify a first rule for which the one or more utterance signals are a superset of the rule's one or more rule signals. In response to receiving the one or more alternate utterance signals from the signal extractor, the classifier may iterate through the hierarchy of rules in sequential order to identify the first rule in the hierarchy for which the one or more alternate utterance signals are a superset of the first rule's one or more rule signals.
-
公开(公告)号：US11967309B2
公开(公告)日：2024-04-23
申请号：US17539314
申请日：2021-12-01
Applicant: Bank of America Corporation
Inventor： Isaac Persing , Emad Noorizadeh , Ramakrishna R. Yannam , Sushil Golani , Hari Gopalkrishnan , Dana Patrice Morrow Branch
CPC classification number: G10L15/16 , G10L15/1815 , G10L15/22 , G10L2015/081
Abstract: Apparatus and methods for leveraging machine learning and artificial intelligence to generate a response to an utterance expressed by a user during an interaction between an interactive response system and the user is provided. The methods may include a natural language processor processing the utterance to output an utterance intent. The methods may also include a signal extractor processing the utterance, the utterance intent and previous utterance data to output utterance signals. The methods may additionally include an utterance sentiment classifier using a hierarchy of rules to extract, from a database, a label, the extracting being based on the utterance signals. The methods may further include a sequential neural network classifier using a trained algorithm to process the label and a sequence of historical labels to output a sentiment score. The methods may further include, based on the utterance intent, the label and the score, to output a response.
-
Patent Agency Ranking
公开(公告)号：US11935532B2
公开(公告)日：2024-03-19
申请号：US17539301
申请日：2021-12-01
Applicant: Bank of America Corporation
Inventor： Ramakrishna R. Yannam , Emad Noorizadeh , Isaac Persing , Sushil Golani , Hari Gopalkrishnan , Dana Patrice Morrow Branch
CPC classification number: G10L15/22 , G10L15/063 , G10L15/16 , G10L15/30 , G10L2015/223
Abstract: Aspects of the disclosure relate to receiving a stateless application programming interface (“API”) request. The API request may store an utterance, previous utterance data and a sequence of labels, each label in the sequence of labels being associated with a previous utterance expressed by a user during an interaction. The previous utterance data may, in certain embodiments, be limited to a pre-determined number of utterances occurring prior to the utterance. Embodiments process the utterance, using a natural language processor in electronic communication with the first processor, to output an utterance intent, a semantic meaning of the utterance and an utterance parameter. The utterance parameter may include words in the utterance and be associated with the intent. The natural language processor may append the utterance intent, the semantic meaning of the utterance and the utterance parameter to the API request. A signal extractor processor may append the plurality of utterance signals to the API request.
-
">
公开(公告)号：US20230169969A1
公开(公告)日：2023-06-01
申请号：US17539301
申请日：2021-12-01
Applicant: Bank of America Corporation
Inventor： Ramakrishna R. Yannam , Emad Noorizadeh , Isaac Persing , Sushil Golani , Hari Gopalkrishnan , Dana Patrice Morrow Branch
CPC classification number: G10L15/22 , G10L15/16 , G10L15/30 , G10L15/063 , G10L2015/223
Abstract: Aspects of the disclosure relate to receiving a stateless application programming interface (“API”) request. The API request may store an utterance, previous utterance data and a sequence of labels, each label in the sequence of labels being associated with a previous utterance expressed by a user during an interaction. The previous utterance data may, in certain embodiments, be limited to a pre-determined number of utterances occurring prior to the utterance. Embodiments process the utterance, using a natural language processor in electronic communication with the first processor, to output an utterance intent, a semantic meaning of the utterance and an utterance parameter. The utterance parameter may include words in the utterance and be associated with the intent. The natural language processor may append the utterance intent, the semantic meaning of the utterance and the utterance parameter to the API request. A signal extractor processor may append the plurality of utterance signals to the API request.
-
8.发明授权公开(公告)号：US11475885B2
公开(公告)日：2022-10-18
申请号：US16883630
申请日：2020-05-26
Applicant: Bank of America Corporation
Inventor： Isaac Persing , Emad Noorizadeh
Abstract: Methods for mapping intents to utterances using a three-tiered system is provided. Methods may include receiving a plurality of predetermined action-topic pairs and a plurality of predetermined intents. Methods may include mapping the plurality of predetermined action-topic pairs to the plurality of predetermined intents via a one-to-many mapping. Methods may include receiving a linguistic utterance at a first tier of the three-tiered system. Methods may include translating the linguistic utterance at the first tier of the three-tiered system. Methods may include mapping the textual representation to one or more action-topic pairs included in the plurality of action-topic pairs. The mapping may be executed at the second tier of the three-tiered system. Methods may include identifying one or more intents that correlate to the textual representation. The identifying may be executed at the third tier. The identifying may be based on the mapping between the action-topics pairs and the predetermined intents.
-
公开(公告)号：US11948557B2
公开(公告)日：2024-04-02
申请号：US17539282
申请日：2021-12-01
Applicant: Bank of America Corporation
Inventor： Ramakrishna R. Yannam , Isaac Persing , Emad Noorizadeh
CPC classification number: G10L15/1815 , G06F3/04817 , G06F40/30 , G10L15/063 , G10L15/16 , G10L15/22 , G10L15/30
Abstract: Aspects of the disclosure relate to using an apparatus for flagging and removing real time workflows that produce sub-optimal results. Such an apparatus may include an utterance sentiment classifier. The apparatus stores a hierarchy of rules. Each of the rules is associated with one or more rule signals. In response to receiving the one or more utterance signals, the classifier iterates through the hierarchy of rules in sequential order to identify a first rule for which the one or more utterance signals are a superset of the rule's one or more rule signals. In response to receiving the one or more alternate utterance signals from the signal extractor, the classifier may iterate through the hierarchy of rules in sequential order to identify the first rule in the hierarchy for which the one or more alternate utterance signals are a superset of the first rule's one or more rule signals.
-
公开(公告)号：US11922928B2
公开(公告)日：2024-03-05
申请号：US17539248
申请日：2021-12-01
Applicant: Bank of America Corporation
Inventor： Ramakrishna R. Yannam , Isaac Persing , Emad Noorizadeh , Sushil Golani , Hari Gopalkrishnan , Dana Patrice Morrow Branch
CPC classification number: G10L15/16 , G10L15/063 , G10L15/22 , G10L15/30 , G10L2015/0638
Abstract: Apparatus and methods for leveraging machine learning and artificial intelligence to assess a sentiment of an utterance expressed by a user during an interaction between an interactive response system and the user is provided. The methods may include a natural language processor processing the utterance to output an utterance intent. The methods may also include a signal extractor processing the utterance, the utterance intent and previous utterance data to output utterance signals. The methods may additionally include an utterance sentiment classifier using a hierarchy of rules to extract, from a database, a label, the extracting being based on the utterance signals. The methods may further include a sequential neural network classifier using a trained algorithm to process the label and a sequence of historical labels to output a sentiment score.
-
-
-
-
-
-
-
-
-
Search Results
12
records
(took 0.016 seconds)
