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公开(公告)号：US11120351B2
公开(公告)日：2021-09-14
申请号：US14859387
申请日：2015-09-21
发明人： Ella Rabinovich , Haggai Roitman
IPC分类号： G06N7/00 , G06F16/2453 , G06F16/22
摘要： The method includes receiving, by one or more processors, an initial query term. The method further includes generating, by one or more processors, an expanded query based on the received initial query term and one or more related terms to the received initial query. The method further includes determining, by one or more processors, weights corresponding to terms in the received initial query term and the generated expanded query term based on a predicted effect on query performance.
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公开(公告)号：US10303794B2
公开(公告)日：2019-05-28
申请号：US14852758
申请日：2015-09-14
发明人： Shay Hummel , Ella Rabinovich , Haggai Roitman
IPC分类号： G06F17/30
摘要： Machine logic that traces increases (or decreases) in query drift by performing the following steps: retrieving a first response list responding to a first query; retrieving a second response list responding to a second query, wherein the second query is based, at least in part, on a topic related to the first query; determining a set of scores for each of the first response list and the second response list, calculating a normalized query commitment (“NQC”) for each of the first response list and the second response list; and responsive to determining that a ratio representing a relative difference between the NQC for the first response list and the NQC for the second response list is above a predetermined threshold, determining to use the second response list to respond to the first query.
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公开(公告)号：US11823666B2
公开(公告)日：2023-11-21
申请号：US17492716
申请日：2021-10-04
发明人： Ofer Lavi , Inbal Ronen , Ella Rabinovich , David Boaz , David Amid , Segev Shlomov , Ateret Anaby - Tavor
CPC分类号： G10L15/1815 , G06F40/35 , G10L15/10
摘要： Automatic measurement of semantic textual similarity of conversations, by: receiving two conversation texts, each comprising a sequence of utterances; encoding each of the sequences of utterances into a corresponding sequence of semantic representations; computing a minimal edit distance between the sequences of semantic representations; and, based on the computation of the minimal edit distance, performing at least one of: quantifying a semantic similarity between the two conversation texts, and outputting an alignment of the two sequences of utterances with each other.
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公开(公告)号：US20230281396A1
公开(公告)日：2023-09-07
申请号：US17653452
申请日：2022-03-03
发明人： Segev Shlomov , Inbal Ronen , Ella Rabinovich , David Boaz , Ofer Lavi , Ateret Anaby - Tavor
摘要： A method, computer system, and a computer program product for automated agent intent detection enhancement are provided. A first message from a first user is received. The first message is generated during a first conversation between the first user and a first automated agent. A computer produces a second message that includes a same request as the first message but a different language modality than the first message. The second message and the first message are combined to form a combined message. The combined message is input into the first automated agent such that the first automated agent produces an intent classification for the first message.
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公开(公告)号：US20170083568A1
公开(公告)日：2017-03-23
申请号：US14859387
申请日：2015-09-21
发明人： Ella Rabinovich , Haggai Roitman
CPC分类号： G06N7/005 , G06F16/2272 , G06F16/24534
摘要： The method includes receiving, by one or more processors, an initial query term. The method further includes generating, by one or more processors, an expanded query based on the received initial query term and one or more related terms to the received initial query. The method further includes determining, by one or more processors, weights corresponding to terms in the received initial query term and the generated expanded query term based on a predicted effect on query performance.
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公开(公告)号：US20160321363A1
公开(公告)日：2016-11-03
申请号：US14698872
申请日：2015-04-29
发明人： Shai Erera , Shay Hummel , Ella Rabinovich , Haggai Roitman
IPC分类号： G06F17/30
CPC分类号： G06F17/30867 , G06F17/30699
摘要： A method, including submitting, to a search engine, a first query including, and receiving, in response to the first query, a first list including first results, each of the first results having a respective first ranking. Keywords are derived from the first query, and for each keyword, a respective second query is submitted to the search engine, the respective second query including the first query term and the derived keyword. In response to each of the respective second queries, a respective second list including respective second results is received, each of the respective second results having a second ranking and a corresponding first result, and for each given second result, one or more stability scores are computed based on the second ranking of the given second result and the first ranking of the corresponding first result. The second results are ranked based on their respective one or more stability scores.
摘要翻译： 一种方法，包括向搜索引擎提交包括响应于第一查询并且接收响应于第一查询的第一列表的第一列表，其包括第一结果，第一结果中的每一个具有相应的第一排名。 关键字从第一查询导出，并且对于每个关键字，将相应的第二查询提交给搜索引擎，相应的第二查询包括第一查询项和派生关键字。 响应于每个相应的第二查询，接收包括相应的第二结果的相应的第二列表，每个相应的第二结果具有第二排名和相应的第一结果，并且对于每个给定的第二结果，一个或多个稳定性分数是 基于给定第二结果的第二排序和对应的第一结果的第一排序来计算。 第二个结果根据它们各自的一个或多个稳定性得分进行排名。
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公开(公告)号：US20240339112A1
公开(公告)日：2024-10-10
申请号：US18295973
申请日：2023-04-05
发明人： Ella Rabinovich , Matan Vetzler , Samuel Solomon Ackerman , Ateret Anaby - Tavor , Eitan Daniel Farchi , Orna Raz
CPC分类号： G10L15/1815 , G06N5/022 , G10L15/063 , G10L2015/0631 , G10L2015/0638
摘要： Various systems and methods are presented regarding detecting data drift. The data of interest can be batches of utterances received at an interface (e.g., a chatbot). The batches of utterances can be compared with topics present in training data utilized to train a data classifier (e.g., an autoencoder), wherein topics identified in the batches of utterances that are not present in the training data can be considered to be novel topics. The greater the presence of novel topics in a batch of utterances, the greater the divergence of the batch of utterances from the content of the training data. The novel topics can be identified and subsequently applied to the training data such that the data classifier can be re-trained with the novel topics, thereby causing the data classifier to be contemporaneous with the novel topics. In an embodiment, the utterances can be short streams of text, symbols, and suchlike.
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公开(公告)号：US11100287B2
公开(公告)日：2021-08-24
申请号：US16174819
申请日：2018-10-30
发明人： Ella Rabinovich , Benjamin Sznajder , Artem Spector , Ilya Shnayderman , Ranit Aharonov , David Konopnicki , Noam Slonim
IPC分类号： G06F40/30 , G06N20/00 , G06F16/35 , G06F16/335
摘要： Method and apparatus for training and using a classifier for words. Embodiments include receiving a first plurality of sentences comprising a first word that is associated with a class and a second plurality of sentences comprising a second word that is not associated with the class. Embodiments include training a classifier using positive training data for the class that is based on the first plurality of sentences and negative training data for the class that is based on the second plurality of sentences. Embodiments include determining a measure of correlation between a third word and the class by using a sentence comprising the third word as an input to the classifier. Embodiments include using the measure of correlation to perform an action selected from the following list: selecting content to provide to a user; determining an automatic chat response; or filtering a set of content.
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公开(公告)号：US10108722B2
公开(公告)日：2018-10-23
申请号：US14698872
申请日：2015-04-29
发明人： Shai Erera , Shay Hummel , Ella Rabinovich , Haggai Roitman
IPC分类号： G06F17/30
摘要： A method, including submitting, to a search engine, a first query including, and receiving, in response to the first query, a first list including first results, each of the first results having a respective first ranking. Keywords are derived from the first query, and for each keyword, a respective second query is submitted to the search engine, the respective second query including the first query term and the derived keyword. In response to each of the respective second queries, a respective second list including respective second results is received, each of the respective second results having a second ranking and a corresponding first result, and for each given second result, one or more stability scores are computed based on the second ranking of the given second result and the first ranking of the corresponding first result. The second results are ranked based on their respective one or more stability scores.
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公开(公告)号：US20170075893A1
公开(公告)日：2017-03-16
申请号：US14852758
申请日：2015-09-14
发明人： Shay Hummel , Ella Rabinovich , Haggai Roitman
IPC分类号： G06F17/30
CPC分类号： G06F17/3053
摘要： Machine logic that traces increases (or decreases) in query drift by performing the following steps: retrieving a first response list responding to a first query; retrieving a second response list responding to a second query, wherein the second query is based, at least in part, on a topic related to the first query; determining a set of scores for each of the first response list and the second response list, calculating a normalized query commitment (“NQC”) for each of the first response list and the second response list; and responsive to determining that a ratio representing a relative difference between the NQC for the first response list and the NQC for the second response list is above a predetermined threshold, determining to use the second response list to respond to the first query.
摘要翻译： 通过执行以下步骤，跟踪增加（或减少）查询漂移的机器逻辑：检索响应第一个查询的第一响应列表; 检索响应于第二查询的第二响应列表，其中所述第二查询至少部分地基于与所述第一查询相关的主题; 确定所述第一响应列表和所述第二响应列表中的每一个的分数集合，为所述第一响应列表和所述第二响应列表中的每一个计算归一化查询承诺（“NQC”）; 并且响应于确定表示所述第一响应列表的NQC与所述第二响应列表的NQC之间的相对差异的比率高于预定阈值，确定使用所述第二响应列表来响应所述第一查询。
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