[PDF] Top 20 “Dialog Navigator”: A Question Answering System Based on Large Text Knowledge Base
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“Dialog Navigator”: A Question Answering System Based on Large Text Knowledge Base
... ??????? ?? ??? ??? ? ???? ??? ????????? ??? ?? ????? ?? ????? ??? ????????? ???? ???? ??????? ???? ?? ???????? ??? ?????? ????? ????????? ??? ?? ????????? ?? ????? ?????????? ????????? ??? ?? ????????[.] ... See full document
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Learning Knowledge Graphs for Question Answering through Conversational Dialog
... a question-answering sys- tem can learn about its domain from conver- sational ...Our system learns to relate concepts in science questions to propositions in a fact corpus, stores new concepts and ... See full document
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Learning Representation Mapping for Relation Detection in Knowledge Base Question Answering
... a large-scale knowledge ...a large-scale human anno- tated dataset, which contains 108,442 natural lan- guage questions for 1,837 relations sampled from FB2M (Bordes et ...A large portion of ... See full document
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The Value of Semantic Parse Labeling for Knowledge Base Question Answering
... a text editor is obviously not an efficient way to provide semantic parses even for ...staged, dialog-like user interface (UI) to improve the labeling ...a question, the UI first presents entities ... See full document
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Asking Clarification Questions in Knowledge Based Question Answering
... for knowledge-based question an- swering (KBQA) systems, especially for han- dling ambiguous ...clarification-related text understanding and ...a question, iden- tify whether ... See full document
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Evolution of Techniques for Question Answering over Knowledge Base: A Survey
... of question answering system on test set of Remedia Corpus ...read system [61]. This tagged text is passed to the name identification module and later proper noun identified tagged ... See full document
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Different Facets of Text Based Automated Question Answering System
... FAQ knowledge base which is extracted from community question answering web ...between question and candidate answers and context information are used to construct models by ranking ... See full document
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Structured and Logical Representations of Assamese Text for Question Answering System
... corpus based text in terms of computational linguistics, it must pass through different phases like- morphological, syntactical, semantics, pragmatic ...extracted knowledge using these two ... See full document
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Multi Task Learning for Conversational Question Answering over a Large Scale Knowledge Base
... for knowledge-based question answer (KB- QA) in recent years since it does not rely on hand- crafted features and is easy to adapt across do- ...handle large-scale KBs. Many recent neural se- ... See full document
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A Survey of Text Question Answering Techniques
... Question Answering (QA) is a specific type of information ...a Question Answering system attempts to find out the correct answer to the question pose in natural ...language. ... See full document
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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 ... See full document
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Hybrid Question Answering over Knowledge Base and Free Text
... in question answering (QA) systems focuses on using structured knowledge bases (KBs) to find ...(IR) based QA systems, the natural incompleteness of KB inevitably limits the question ... See full document
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Lattice CNNs for Matching Based Chinese Question Answering
... improve text matching, showing that it is necessary to con- sider the fashion which considers both characters and more possible words, which perhaps the word lattice can ... See full document
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CNN for Text Based Multiple Choice Question Answering
... analysis, question classification ...of question answering, Long Short Term Memory (LSTM) (Hochreiter and Schmid- huber, 1997) based methods are the most ...CNN based model for mul- ... See full document
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Question Answering Using a Large Text Database: A Machine Learning Approach
... [r] ... See full document
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CFO: Conditional Focused Neural Question Answering with Large scale Knowledge Bases
... a large-scale KB such as Free- base contains billions of triples, b) the huge vari- ety of language — there are multiple aliases for an entity, and numerous ways to compose a question, c) the severe ... See full document
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Learning surface text patterns for a Question Answering System
... (the question term) in the candidate answer ...of question that require multiple words from the question to be in the answer sentence, possibly apart from each ...the system depends ... See full document
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A Boolean based Question Answering System
... designed system, the high frequency words may occurs in almost all ...the question processing step, the high frequency words will be used as the index terms in the ...the system to distinguish the ... See full document
117
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 promising ap- ... See full document
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Cognitive Functionality based Question Answering System
... Q/A system comprising of three ...are Question Process- ing Unit, Document Processing Unit, and the Answer Processing Unit, with Question Classification and understanding, Information Retrieval, and ... See full document
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