NATURAL LANGUAGE RESPONSE IN MACHINE ASSISTED AGENTS
Using a personal entity analyzer, a personal entity difference between a natural language response to a natural language query and an edited version of the natural language response is scored, the natural language response selected from a set of natural language response recommendations. Using a pro...
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| creator | JONES STEVEN JAUHARI ARJUN SALVE VIVEK MALLETTE JENNIFER |
| description | Using a personal entity analyzer, a personal entity difference between a natural language response to a natural language query and an edited version of the natural language response is scored, the natural language response selected from a set of natural language response recommendations. Using a product entity analyzer, a product entity difference between the natural language response and the edited version of the natural language response is scored. Using a sentence similarity analyzer, a sentence similarity between the natural language response and the edited version of the natural language response is scored. Based on the personal entity difference score, the product entity difference, score and the sentence similarity score, the set of natural language responses is updated. In a natural language interaction, a selected natural language response from the set of natural language responses is outputted.
使用个人实体分析器，对自然语言查询的自然语言响应和自然语言响应的编辑版本之间的个人实体差异进行评分，从自然语言响应集合推荐中选择自然语言响应。使用产品实体分析器，对自然语言响应和自然语言响应的编辑版本之间的产品实 |
| format | Patent |
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使用个人实体分析器，对自然语言查询的自然语言响应和自然语言响应的编辑版本之间的个人实体差异进行评分，从自然语言响应集合推荐中选择自然语言响应。使用产品实体分析器，对自然语言响应和自然语言响应的编辑版本之间的产品实</description><language>chi ; eng</language><subject>CALCULATING ; COMPUTING ; COUNTING ; ELECTRIC DIGITAL DATA PROCESSING ; PHYSICS</subject><creationdate>2022</creationdate><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://worldwide.espacenet.com/publicationDetails/biblio?FT=D&date=20220225&DB=EPODOC&CC=CN&NR=114096960A$$EHTML$$P50$$Gepo$$Hfree_for_read</linktohtml><link.rule.ids>230,308,780,885,25564,76547</link.rule.ids><linktorsrc>$$Uhttps://worldwide.espacenet.com/publicationDetails/biblio?FT=D&date=20220225&DB=EPODOC&CC=CN&NR=114096960A$$EView_record_in_European_Patent_Office$$FView_record_in_$$GEuropean_Patent_Office$$Hfree_for_read</linktorsrc></links><search><creatorcontrib>JONES STEVEN</creatorcontrib><creatorcontrib>JAUHARI ARJUN</creatorcontrib><creatorcontrib>SALVE VIVEK</creatorcontrib><creatorcontrib>MALLETTE JENNIFER</creatorcontrib><title>NATURAL LANGUAGE RESPONSE IN MACHINE ASSISTED AGENTS</title><description>Using a personal entity analyzer, a personal entity difference between a natural language response to a natural language query and an edited version of the natural language response is scored, the natural language response selected from a set of natural language response recommendations. Using a product entity analyzer, a product entity difference between the natural language response and the edited version of the natural language response is scored. Using a sentence similarity analyzer, a sentence similarity between the natural language response and the edited version of the natural language response is scored. Based on the personal entity difference score, the product entity difference, score and the sentence similarity score, the set of natural language responses is updated. In a natural language interaction, a selected natural language response from the set of natural language responses is outputted.
使用个人实体分析器，对自然语言查询的自然语言响应和自然语言响应的编辑版本之间的个人实体差异进行评分，从自然语言响应集合推荐中选择自然语言响应。使用产品实体分析器，对自然语言响应和自然语言响应的编辑版本之间的产品实</description><subject>CALCULATING</subject><subject>COMPUTING</subject><subject>COUNTING</subject><subject>ELECTRIC DIGITAL DATA PROCESSING</subject><subject>PHYSICS</subject><fulltext>true</fulltext><rsrctype>patent</rsrctype><creationdate>2022</creationdate><recordtype>patent</recordtype><sourceid>EVB</sourceid><recordid>eNrjZDDxcwwJDXL0UfBx9HMPdXR3VQhyDQ7w9wt2VfD0U_B1dPbw9HNVcAwO9gwOcXVRACrwCwnmYWBNS8wpTuWF0twMim6uIc4euqkF-fGpxQWJyal5qSXxzn6GhiYGlmaWZgaOxsSoAQDDYidb</recordid><startdate>20220225</startdate><enddate>20220225</enddate><creator>JONES STEVEN</creator><creator>JAUHARI ARJUN</creator><creator>SALVE VIVEK</creator><creator>MALLETTE JENNIFER</creator><scope>EVB</scope></search><sort><creationdate>20220225</creationdate><title>NATURAL LANGUAGE RESPONSE IN MACHINE ASSISTED AGENTS</title><author>JONES STEVEN ; JAUHARI ARJUN ; SALVE VIVEK ; MALLETTE JENNIFER</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-epo_espacenet_CN114096960A3</frbrgroupid><rsrctype>patents</rsrctype><prefilter>patents</prefilter><language>chi ; eng</language><creationdate>2022</creationdate><topic>CALCULATING</topic><topic>COMPUTING</topic><topic>COUNTING</topic><topic>ELECTRIC DIGITAL DATA PROCESSING</topic><topic>PHYSICS</topic><toplevel>online_resources</toplevel><creatorcontrib>JONES STEVEN</creatorcontrib><creatorcontrib>JAUHARI ARJUN</creatorcontrib><creatorcontrib>SALVE VIVEK</creatorcontrib><creatorcontrib>MALLETTE JENNIFER</creatorcontrib><collection>esp@cenet</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>JONES STEVEN</au><au>JAUHARI ARJUN</au><au>SALVE VIVEK</au><au>MALLETTE JENNIFER</au><format>patent</format><genre>patent</genre><ristype>GEN</ristype><title>NATURAL LANGUAGE RESPONSE IN MACHINE ASSISTED AGENTS</title><date>2022-02-25</date><risdate>2022</risdate><abstract>Using a personal entity analyzer, a personal entity difference between a natural language response to a natural language query and an edited version of the natural language response is scored, the natural language response selected from a set of natural language response recommendations. Using a product entity analyzer, a product entity difference between the natural language response and the edited version of the natural language response is scored. Using a sentence similarity analyzer, a sentence similarity between the natural language response and the edited version of the natural language response is scored. Based on the personal entity difference score, the product entity difference, score and the sentence similarity score, the set of natural language responses is updated. In a natural language interaction, a selected natural language response from the set of natural language responses is outputted.
使用个人实体分析器，对自然语言查询的自然语言响应和自然语言响应的编辑版本之间的个人实体差异进行评分，从自然语言响应集合推荐中选择自然语言响应。使用产品实体分析器，对自然语言响应和自然语言响应的编辑版本之间的产品实</abstract><oa>free_for_read</oa></addata></record> |
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| subjects | CALCULATING COMPUTING COUNTING ELECTRIC DIGITAL DATA PROCESSING PHYSICS |
| title | NATURAL LANGUAGE RESPONSE IN MACHINE ASSISTED AGENTS |
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