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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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2.发明授权公开(公告)号：US10311859B2
公开(公告)日：2019-06-04
申请号：US15247656
申请日：2016-08-25
Inventor： Amir Lev-Tov , Avraham Faizakof , Tamir Tapuhi , Yochai Konig
Abstract: A method for extracting, from non-speech text, training data for a language model for speech recognition includes: receiving, by a processor, non-speech text; selecting, by the processor, text from the non-speech text; converting, by the processor, the selected text to generate converted text comprising a plurality of phrases consistent with speech transcription text; training, by the processor, a language model using the converted text; and outputting, by the processor, the language model.
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公开(公告)号：US20170300499A1
公开(公告)日：2017-10-19
申请号：US15133188
申请日：2016-04-19
Inventor： Amir Lev-Tov , Tamir Tapuhi , Avraham Faizakof , David Konig , Yochai Konig
IPC: G06F17/30 , G06F17/24 , G06F17/21 , G06F3/0481
CPC classification number: G06F16/3347 , G06F3/0482 , G06F16/3329 , G06F16/34 , G06F17/243
Abstract: A method includes: receiving, by a processor, a question including text; identifying, by the processor, one or more identified topics from a plurality of tracked topics tracked by an analytics system in accordance with the text of the question, the analytics system being configured to perform analytics on a plurality of interactions with a plurality of agents of a contact center; outputting, by the processor, the one or more identified topics; associating, by the processor, one or more selected topics with the question, the selected topics one or more of the identified topics; adding, by the processor, the question and the selected topics to the evaluation form; and outputting the evaluation form.
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公开(公告)号：US10455088B2
公开(公告)日：2019-10-22
申请号：US14919675
申请日：2015-10-21
Inventor： Tamir Tapuhi , Yochai Konig , Amir Lev-Tov , Avraham Faizakof , Yoni Lev
Abstract: A method for generating a dialog tree for an automated self-help system of a contact center from a plurality of recorded interactions between customers and agents of the contact center includes: computing, by a processor, a plurality of feature vectors, each feature vector corresponding to one of the recorded interactions; computing, by the processor, similarities between pairs of the feature vectors; grouping, by the processor, similar feature vectors based on the computed similarities into groups of interactions; rating, by the processor, feature vectors within each group of interactions based on one or more criteria, wherein the criteria include at least one of interaction time, success rate, and customer satisfaction; and outputting, by the processor, a dialog tree in accordance with the rated feature vectors for configuring the automated self-help system.
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公开(公告)号：US10186255B2
公开(公告)日：2019-01-22
申请号：US15247645
申请日：2016-08-25
Inventor： Tamir Tapuhi , Amir Lev-Tov , Avraham Faizakof , Yochai Konig
Abstract: A method for generating a language model for an organization includes: receiving, by a processor, organization-specific training data; receiving, by the processor, generic training data; computing, by the processor, a plurality of similarities between the generic training data and the organization-specific training data; assigning, by the processor, a plurality of weights to the generic training data in accordance with the computed similarities; combining, by the processor, the generic training data with the organization-specific training data in accordance with the weights to generate customized training data; training, by the processor, a customized language model using the customized training data; and outputting, by the processor, the customized language model, the customized language model being configured to compute the likelihood of phrases in a medium.
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Patent Agency Ranking
公开(公告)号：US20170206890A1
公开(公告)日：2017-07-20
申请号：US15247645
申请日：2016-08-25
Inventor： Tamir Tapuhi , Amir Lev-Tov , Avraham Faizakof , Yochai Konig
CPC classification number: G10L15/063 , G06F17/273 , G06N99/005 , G10L15/183 , G10L15/26 , G10L2015/0635 , G10L2015/0636 , G10L2015/088
Abstract: A method for generating a language model for an organization includes: receiving, by a processor, organization-specific training data; receiving, by the processor, generic training data; computing, by the processor, a plurality of similarities between the generic training data and the organization-specific training data; assigning, by the processor, a plurality of weights to the generic training data in accordance with the computed similarities; combining, by the processor, the generic training data with the organization-specific training data in accordance with the weights to generate customized training data; training, by the processor, a customized language model using the customized training data; and outputting, by the processor, the customized language model, the customized language model being configured to compute the likelihood of phrases in a medium.
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7.发明申请SYSTEM AND METHOD FOR INTERACTIVE MULTI-RESOLUTION TOPIC DETECTION AND TRACKING 审中-公开用于交互式多分辨率主题检测和跟踪的系统和方法公开(公告)号：US20160188672A1
公开(公告)日：2016-06-30
申请号：US14586730
申请日：2014-12-30
Inventor： Yoni Lev , Avraham Faizakof , Amir Lev-Tov , Tamir Tapuhi , Yochai Konig
CPC classification number: G06F17/30976 , G06F17/30713 , G06Q30/0281 , G06Q50/01
Abstract: A method for tracking known topics in a plurality of interactions includes: extracting, by a processor, a plurality of fragments from the plurality of interactions; initializing, by the processor, a collection of tracked topics to an empty collection; computing, by the processor, a similarity between each fragment of the fragments and each of the known topics; and adding, by the processor, a known topic of the known topics to the tracked topics in response to the similarity between a fragment and the known topic exceeding a threshold value.
Abstract translation: 用于跟踪多个交互中的已知主题的方法包括：由处理器从多个交互中提取多个片段; 由处理器将跟踪主题的集合初始化为空集合; 由处理器计算片段的每个片段和每个已知主题之间的相似度; 以及响应于片段和超过阈值的已知主题之间的相似度，由处理器将已知主题的已知主题添加到所跟踪的主题。
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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：US10902737B2
公开(公告)日：2021-01-26
申请号：US15282963
申请日：2016-09-30
Inventor： Tamir Tapuhi , Amir Lev-Tov , Avraham Faizakof , David Konig , Yochai Konig
Abstract: A method for automatically calculating an overall evaluation score of an interaction includes: receiving, by a processor, an evaluation form, the evaluation form comprising a plurality of automatic questions and a plurality of manual questions; automatically extracting, by a processor, a set of features from the interaction, the set of features comprising answers to the automatic questions without manually generated answers to the manual questions; and computing an overall evaluation score based on the set of features.
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公开(公告)号：US10896395B2
公开(公告)日：2021-01-19
申请号：US15282897
申请日：2016-09-30
Inventor： Amir Lev-Tov , Tamir Tapuhi , Avraham Faizakof , David Konig , Yochai Konig
Abstract: A method includes: receiving, by a processor, an evaluation form including a plurality of evaluation questions; receiving, by the processor, an interaction to be evaluated by the evaluation form; selecting, by the processor, an evaluation question of the evaluation form, the evaluation question including a rule associated with one or more topics, each of the topics including one or more words or phrases; searching, by the processor, the interaction for the one or more topics of the rule in accordance with the presence of one or more words or phrases in the interaction to generate a search result; calculating, by the processor, an answer to the evaluation question in accordance with the rule and the search result; and outputting, by the processor, the calculated answer to the evaluation question of the evaluation form.
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