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公开(公告)号：US11645460B2
公开(公告)日：2023-05-09
申请号：US17135283
申请日：2020-12-28
Inventor： Avraham Faizakof , Arnon Mazza , Lev Haikin , Eyal Orbach
IPC: G06F40/232 , G06N20/00 , G06F40/279 , G06F40/169 , G10L15/04 , G10L15/06 , G10L15/197 , G10L15/22
CPC classification number: G06F40/232 , G06F40/169 , G06F40/279 , G06N20/00 , G10L15/04 , G10L15/063 , G10L15/197 , G10L15/22
Abstract: A first text corpus comprising punctuated and capitalized text is received. The words in the first text corpus are then annotated with a set of labels indicating a punctuation and a capitalization of each word. At an initial training stage, a machine learning model is trained on a first training set using the annotated words from the first text corpus and the labels. A second text corpus is received representing conversational speech. The words in the second text corpus are then annotated with the set of labels. In a re-training stage, the machine learning model is re-trained on a second training set comprising the annotated words from the second text corpus, and the labels. At an inference stage, the trained machine learning model is applied to a target set of words representing conversational speech to predict a punctuation and capitalization of each word in the target set.
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公开(公告)号：US20200059559A1
公开(公告)日：2020-02-20
申请号：US16664907
申请日：2019-10-27
Inventor： Arnon Mazza , Avraham Faizakof , Amir Lev-Tov , Tamir Tapuhi , Yochai Konig
Abstract: A system and method are presented for dialogue tree generation. The dialogue tree may be used for generating a chatbot. Similar phrases from phrases comprising the interactions between a first party and a second party are group together from the first party of a cluster. For each group of similar phrases, percentages are determined and compared against a threshold occurrence rate. Anchors are generated and used in alignment in the determination of dialogue flows. Topic-specific dialogue trees may be determined from the dialogue flows. The topic-specific dialogue trees may be modified to generate a deterministic dialogue tree.
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公开(公告)号：US11562148B2
公开(公告)日：2023-01-24
申请号：US17002282
申请日：2020-08-25
Inventor： Amir Lev-Tov , Avraham Faizakof , Arnon Mazza , Yochai Konig
IPC: G06F40/20 , G06F40/35 , G06K9/62 , G06F40/284
Abstract: Methods, systems, and computer program product for automatically performing sentiment analysis on texts, such as telephone call transcripts and electronic written communications. Disclosed techniques include, inter alia, lexicon training, handling of negations and shifters, pruning of lexicons, confidence calculation for token orientation, supervised customization, lexicon mixing, and adaptive segmentation.
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公开(公告)号：US20210193169A1
公开(公告)日：2021-06-24
申请号：US16723154
申请日：2019-12-20
Inventor： Avraham Faizakof , Lev Haikin , Yochai Konig , Arnon Mazza
Abstract: A method comprising: receiving a plurality of audio segments comprising a speech signal, wherein said audio segments represent a plurality of verbal interactions; receiving labels associated with an emotional state expressed in each of said audio segments; dividing each of said audio segments into a plurality of frames, based on a specified frame duration; extracting a plurality of acoustic features from each of said frames; computing statistics over said acoustic features with respect to sequences of frames representing phoneme boundaries in said audio segments; at a training stage, training a machine learning model on a training set comprising: said statistics associated with said audio segments, and said labels; and at an inference stage, applying said trained model to one or more target audio segments comprising a speech signal, to detect an emotional state expressed in said target audio segments.
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公开(公告)号：US11551011B2
公开(公告)日：2023-01-10
申请号：US17002202
申请日：2020-08-25
Inventor： Amir Lev-Tov , Avraham Faizakof , Arnon Mazza , Yochai Konig
IPC: G06F40/20 , G06F40/35 , G06K9/62 , G06F40/284
Abstract: Methods, systems, and computer program product for automatically performing sentiment analysis on texts, such as telephone call transcripts and electronic written communications. Disclosed techniques include, inter alia, lexicon training, handling of negations and shifters, pruning of lexicons, confidence calculation for token orientation, supervised customization, lexicon mixing, and adaptive segmentation.
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Patent Agency Ranking
公开(公告)号：US11425255B2
公开(公告)日：2022-08-23
申请号：US16664907
申请日：2019-10-27
Inventor： Arnon Mazza , Avraham Faizakof , Amir Lev-Tov , Tamir Tapuhi , Yochai Konig
Abstract: A system and method are presented for dialogue tree generation. The dialogue tree may be used for generating a chatbot. Similar phrases from phrases comprising the interactions between a first party and a second party are group together from the first party of a cluster. For each group of similar phrases, percentages are determined and compared against a threshold occurrence rate. Anchors are generated and used in alignment in the determination of dialogue flows. Topic-specific dialogue trees may be determined from the dialogue flows. The topic-specific dialogue trees may be modified to generate a deterministic dialogue tree.
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公开(公告)号：US11586828B2
公开(公告)日：2023-02-21
申请号：US17002352
申请日：2020-08-25
Inventor： Amir Lev-Tov , Avraham Faizakof , Arnon Mazza , Yochai Konig
IPC: G06F40/30 , G06F40/35 , G06K9/62 , G06F40/284
Abstract: Methods, systems, and computer program product for automatically performing sentiment analysis on texts, such as telephone call transcripts and electronic written communications. Disclosed techniques include, inter alia, lexicon training, handling of negations and shifters, pruning of lexicons, confidence calculation for token orientation, supervised customization, lexicon mixing, and adaptive segmentation.
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公开(公告)号：US11341986B2
公开(公告)日：2022-05-24
申请号：US16723154
申请日：2019-12-20
Inventor： Avraham Faizakof , Lev Haikin , Yochai Konig , Arnon Mazza
Abstract: A method comprising: receiving a plurality of audio segments comprising a speech signal, wherein said audio segments represent a plurality of verbal interactions; receiving labels associated with an emotional state expressed in each of said audio segments; dividing each of said audio segments into a plurality of frames, based on a specified frame duration; extracting a plurality of acoustic features from each of said frames; computing statistics over said acoustic features with respect to sequences of frames representing phoneme boundaries in said audio segments; at a training stage, training a machine learning model on a training set comprising: said statistics associated with said audio segments, and said labels; and at an inference stage, applying said trained model to one or more target audio segments comprising a speech signal, to detect an emotional state expressed in said target audio segments.
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公开(公告)号：US20200327191A1
公开(公告)日：2020-10-15
申请号：US16381452
申请日：2019-04-11
Inventor： Amir Lev-Tov , Avraham Faizakof , Arnon Mazza , Yochai Konig
Abstract: A method, system, and computer program product for unsupervised automated generation of lexicons in a specified target domain, comprising tokens having domain-specific sentiment orientation, by selecting a seed set of tokens from a source lexicon; generating a candidate set of tokens from a text corpus in the target domain based on a similarity parameter with the seed set; calculating a sentiment score for each of the tokens in the candidate set; and automatically updating the source lexicon based on the candidate list.
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公开(公告)号：US20200159826A1
公开(公告)日：2020-05-21
申请号：US16194758
申请日：2018-11-19
Inventor： Amir Lev Tov , Avraham Faizakof , Arnon Mazza , Yochai Konig
Abstract: Methods, systems, and computer program product for automatically performing sentiment analysis on texts, such as telephone call transcripts and electronic written communications. Disclosed techniques include, inter alia, lexicon training, handling of negations and shifters, pruning of lexicons, confidence calculation for token orientation, supervised customization, lexicon mixing, and adaptive segmentation.
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