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[PDF] Top 20 Question Answering over Knowledge Base using Factual Memory Networks

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Question Answering over Knowledge Base using Factual Memory Networks

Question Answering over Knowledge Base using Factual Memory Networks

... and knowledge base constitutes, and use the sum of these vectors to represent ques- tions and candidate ...the question representations of “who killed A?” and “who A killed?” are same in the vector ... See full document

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The Value of Semantic Parse Labeling for Knowledge Base Question Answering

The Value of Semantic Parse Labeling for Knowledge Base Question Answering

... for knowledge base question- answering (KBQA) has called into question the value of collecting such semantic parse labels, with most recent KBQA semantic parsing systems being trained ... See full document

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Enhancing Key Value Memory Neural Networks for Knowledge Based Question Answering

Enhancing Key Value Memory Neural Networks for Knowledge Based Question Answering

... Key-value Memory Neural Net- works (KV-MemNNs) are proved to be effec- tive to support shallow reasoning over a col- lection of documents in domain specific Ques- tion Answering or Reading ... See full document

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Hybrid Question Answering over Knowledge Base and Free Text

Hybrid Question Answering over Knowledge Base and Free Text

... in question answering (QA) systems focuses on using structured knowledge bases (KBs) to find ...the question scope that the system can ...hybrid question answer- ing (hybrid-QA) ... See full document

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Multi Task Learning for Conversational Question Answering over a Large Scale Knowledge Base

Multi Task Learning for Conversational Question Answering over a Large Scale Knowledge Base

... conversational question answering over a large-scale knowl- edge ...large-scale knowledge base, recent neu- ral semantic parsing based approaches usu- ally decompose the task into ... See full document

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An End to End Model for Question Answering over Knowledge Base with Cross Attention Combining Global Knowledge

An End to End Model for Question Answering over Knowledge Base with Cross Attention Combining Global Knowledge

... of knowledge bases (KBs) on the web, how to take full advan- tage of them becomes increasingly impor- ...tant. Question answering over knowledge base (KB-QA) is one of the ... See full document

11

QUINT: Interpretable Question Answering over Knowledge Bases

QUINT: Interpretable Question Answering over Knowledge Bases

... for question answering over knowledge ...a question, it visualizes the complete derivation sequence from the natural language utterance to the final an- ...the question was used ... See full document

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Interactive Instance based Evaluation of Knowledge Base Question Answering

Interactive Instance based Evaluation of Knowledge Base Question Answering

... to Knowledge Base Ques- tion Answering are based on semantic pars- ...of question answering systems that construct a structured semantic represen- tation for the input ...building ... See full document

6

Question Answering on Knowledge Bases and Text using Universal Schema and Memory Networks

Question Answering on Knowledge Bases and Text using Universal Schema and Memory Networks

... Existing question answering methods infer answers either from a knowledge base or from raw ...While knowledge base (KB) methods are good at answering composi- tional ... See full document

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Bidirectional Attentive Memory Networks for Question Answering over Knowledge Bases

Bidirectional Attentive Memory Networks for Question Answering over Knowledge Bases

... When answering natural language questions over knowledge bases (KBs), different ques- tion components and KB aspects play differ- ent ...for knowledge base question ... See full document

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Proceedings of the Open Knowledge Base and Question Answering Workshop (OKBQA 2016)

Proceedings of the Open Knowledge Base and Question Answering Workshop (OKBQA 2016)

... Open Knowledge Base and Question Answering Workshop (OKBQA 2016) took place in Osaka on 11 December 2016, as part of COLING ...smart knowledge services that are able to find ... See full document

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Learning Representation Mapping for Relation Detection in Knowledge Base Question Answering

Learning Representation Mapping for Relation Detection in Knowledge Base Question Answering

... Relation detection is a core step in many nat- ural language process applications including knowledge base question answering. Previous efforts show that single-fact questions could be ... See full document

10

Semantic Parsing via Staged Query Graph Generation: Question Answering with Knowledge Base

Semantic Parsing via Staged Query Graph Generation: Question Answering with Knowledge Base

... Neural Networks To handle the huge variety of the semantically equivalent ways of stating the same question, as well as the mismatch of the natural language ut- terances and predicates in the ... See full document

11

Multi-Task Learning with Multi-View Attention for Answer Selection and Knowledge Base Question Answering

Multi-Task Learning with Multi-View Attention for Answer Selection and Knowledge Base Question Answering

... and knowledge base question answering (KBQA) are two important tasks of question answering (QA) ...ternal knowledge from knowledge base (KB), while KBQA can ... See full document

8

The Open Framework for Developing Knowledge Base And Question Answering System

The Open Framework for Developing Knowledge Base And Question Answering System

... This work was supported by Institute for Information & communications Technology Promotion(IITP) grant funded by the Korea government(MSIP) (No. R0101-16-0054, WiseKB: Big data based self-evolving knowledge ... See full document

5

Evolution of Techniques for Question Answering over Knowledge Base: A Survey

Evolution of Techniques for Question Answering over Knowledge Base: A Survey

... modeling question answering and keyword search tools for Information Retrieval ...[3]–[6]. Question Answering Systems incorporate natural language statements or questions to retrieve ... See full document

6

Improved Neural Relation Detection for Knowledge Base Question Answering

Improved Neural Relation Detection for Knowledge Base Question Answering

... Analysis Next, we present empirical evidences, which show why our HR-BiLSTM model achieves the best scores. We use WebQSP for the analy- sis purposes. First, we have the hypothesis that training of the weighted-sum model ... See full document

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“Dialog Navigator”: A Question Answering System Based on Large Text Knowledge Base

“Dialog Navigator”: A Question Answering System Based on Large Text Knowledge Base

... ??????? ?? ??? ??? ? ???? ??? ????????? ??? ?? ????? ?? ????? ??? ????????? ???? ???? ??????? ???? ?? ???????? ??? ?????? ????? ????????? ??? ?? ????????? ?? ????? ?????????? ????????? ??? ?? ????????[.] ... See full document

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Knowledge Based Question Answering

Knowledge Based Question Answering

... DEF-WORD A/C SENSE AIRCRAFT SENSE AIR-CONDITIONER DEF-WOED EAT SENSE [EAT ACTOR NIL OBJECT NIL TO *INSIDEI PLACE ~STOMACN~ PART NIL] EXPECTATIONS [ IF IN-ACT-SPOT #ANI}~TE THEN SLOTS TO [r] ... See full document

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Integrating Subject, Type, and Property Identification for Simple Question Answering over Knowledge Base

Integrating Subject, Type, and Property Identification for Simple Question Answering over Knowledge Base

... The semantic parsing approach which often re- quires the human annotated logical form may in- crease the cost of obtaining training data. Although the use of rule-based method to generate logical forms can reduce the use ... See full document

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