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1.发明申请公开(公告)号：US20180189262A1
公开(公告)日：2018-07-05
申请号：US15396712
申请日：2017-01-02
发明人： Bharath Dandala , Ravi S. Sinha
CPC分类号： G06F17/277 , G06F17/2276 , G06F17/2795 , G06F17/2872 , G06F17/30401
摘要： An approach is provided that returns a simplified set of text to a user of a natural language processing (NLP) system with the simplified set of text having a complexity appropriate to the reading level of the user. The approach receives a word that belongs to a first natural language and retrieves a first set of complexity data pertaining to the word in the first natural language. The approach translates the word to one or more translated words, with each of the translated words corresponding to one or more second natural languages. The approach then retrieves sets of complexity data, with the sets of complexity data corresponding to a different translated word. The approach determines a complexity of the word in the first natural language based on an analysis of the first and second sets of complexity data.
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公开(公告)号：US10318633B2
公开(公告)日：2019-06-11
申请号：US15396709
申请日：2017-01-02
发明人： Bharath Dandala , Ravi S. Sinha
IPC分类号： G06F17/00 , G06F17/27 , G06F17/28 , G06F16/332
摘要： An approach is provided that receives a word that belongs to a first natural language and retrieves a first set of complexity data pertaining to the word in the first natural language. The approach translates the word to one or more translated words, with each of the translated words corresponding to one or more second natural languages. The approach then retrieves sets of complexity data, with the sets of complexity data corresponding to a different translated word. The approach determines a complexity of the word in the first natural language based on an analysis of the first and second sets of complexity data.
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公开(公告)号：US10586161B2
公开(公告)日：2020-03-10
申请号：US14930872
申请日：2015-11-03
IPC分类号： G06N5/04
摘要： A mechanism is provided in a data processing system for conducting error analysis for a question answering system. Responsive to the question answering system generating one or more candidate answers for an input question, wherein the one or more candidate answers are determined to be incorrect, the mechanism instantiates a plurality of instances of the question answering system with a modification to each instance. The mechanism provides the input question to each of the plurality of instances of the question answering system. The mechanism analyzes results from the plurality of instances of the question answering system to identify at least one modification that led to improved results. The mechanism presents a graphical output based on the analysis.
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公开(公告)号：US10331684B2
公开(公告)日：2019-06-25
申请号：US15172216
申请日：2016-06-03
IPC分类号： G06F16/248 , G06F16/2457 , G06F16/28 , G06F16/33 , G06F16/34
摘要： Mechanisms are provided for implementing a candidate answer variant engine. The mechanisms receive an indication of a structured portion of content in a corpus, generate a plurality of groupings of elements of the structured portion of content, and generate, for each grouping of elements in the plurality of groupings of elements, and for each element in the grouping of elements, a corresponding grouping vector representation, corresponding to the element. The mechanisms, for each grouping vector representation of each grouping of elements in the plurality of groupings of elements perform a similarity measure calculation between the grouping vector representation and a vector representation of an input question, and select an element corresponding to the grouping vector representation for inclusion as a candidate answer variant based on results of the similarity measure calculation. The mechanisms perform question answering operations based on an analysis of one or more candidate answer variants.
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公开(公告)号：US20180189261A1
公开(公告)日：2018-07-05
申请号：US15396709
申请日：2017-01-02
发明人： Bharath Dandala , Ravi S. Sinha
CPC分类号： G06F17/277 , G06F17/2785 , G06F17/289 , G06F17/30654
摘要： An approach is provided that receives a word that belongs to a first natural language and retrieves a first set of complexity data pertaining to the word in the first natural language. The approach translates the word to one or more translated words, with each of the translated words corresponding to one or more second natural languages. The approach then retrieves sets of complexity data, with the sets of complexity data corresponding to a different translated word. The approach determines a complexity of the word in the first natural language based on an analysis of the first and second sets of complexity data.
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公开(公告)号：US11132370B2
公开(公告)日：2021-09-28
申请号：US16417090
申请日：2019-05-20
IPC分类号： G06F16/20 , G06F16/2457 , G06F16/248 , G06F16/28 , G06F16/33 , G06F16/34
摘要： Mechanisms are provided for implementing a candidate answer variant engine. The mechanisms receive an indication of a structured portion of content in a corpus, generate a plurality of groupings of elements of the structured portion of content, and generate, for each grouping of elements in the plurality of groupings of elements, and for each element in the grouping of elements, a corresponding grouping vector representation, corresponding to the element. The mechanisms, for each grouping vector representation of each grouping of elements in the plurality of groupings of elements perform a similarity measure calculation between the grouping vector representation and a vector representation of an input question, and select an element corresponding to the grouping vector representation for inclusion as a candidate answer variant based on results of the similarity measure calculation. The mechanisms perform question answering operations based on an analysis of one or more candidate answer variants.
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公开(公告)号：US09720910B2
公开(公告)日：2017-08-01
申请号：US14938493
申请日：2015-11-11
CPC分类号： G06F17/289 , G06F17/2735 , G06F17/30654
摘要： An approach is provided to receive a term that is included in a Business Process Model (BPM) data store with the term being from one natural language. The approach identifies that first descriptive text of the term is not available in the same natural language. A translated version of the term is retrieved from a different natural language stored in the BPM data store with descriptive text of the term being present in the different language. The descriptive text is translated to the given natural language, resulting in translated descriptive text that is, in turn, provided as a meaning of the term in the given language.
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公开(公告)号：US20170132213A1
公开(公告)日：2017-05-11
申请号：US14938493
申请日：2015-11-11
CPC分类号： G06F17/289 , G06F17/2735 , G06F17/30654
摘要： An approach is provided to receive a term that is included in a Business Process Model (BPM) data store with the term being from one natural language. The approach identifies that first descriptive text of the term is not available in the same natural language. A translated version of the term is retrieved from a different natural language stored in the BPM data store with descriptive text of the term being present in the different language. The descriptive text is translated to the given natural language, resulting in translated descriptive text that is, in turn, provided as a meaning of the term in the given language.
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9.发明申请公开(公告)号：US20170124475A1
公开(公告)日：2017-05-04
申请号：US14930872
申请日：2015-11-03
CPC分类号： G06N5/045
摘要： A mechanism is provided in a data processing system for conducting error analysis for a question answering system. Responsive to the question answering system generating one or more candidate answers for an input question, wherein the one or more candidate answers are determined to be incorrect, the mechanism instantiates a plurality of instances of the question answering system with a modification to each instance. The mechanism provides the input question to each of the plurality of instances of the question answering system. The mechanism analyzes results from the plurality of instances of the question answering system to identify at least one modification that led to improved results. The mechanism presents a graphical output based on the analysis.
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公开(公告)号：US20190272277A1
公开(公告)日：2019-09-05
申请号：US16417090
申请日：2019-05-20
IPC分类号： G06F16/2457 , G06F16/33 , G06F16/34 , G06F16/248 , G06F16/28
摘要： Mechanisms are provided for implementing a candidate answer variant engine. The mechanisms receive an indication of a structured portion of content in a corpus, generate a plurality of groupings of elements of the structured portion of content, and generate, for each grouping of elements in the plurality of groupings of elements, and for each element in the grouping of elements, a corresponding grouping vector representation, corresponding to the element. The mechanisms, for each grouping vector representation of each grouping of elements in the plurality of groupings of elements perform a similarity measure calculation between the grouping vector representation and a vector representation of an input question, and select an element corresponding to the grouping vector representation for inclusion as a candidate answer variant based on results of the similarity measure calculation. The mechanisms perform question answering operations based on an analysis of one or more candidate answer variants.
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