[PDF] Top 20 Question Answering on Knowledge Bases and Text using Universal Schema and Memory Networks
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Question Answering on Knowledge Bases and Text using Universal Schema and Memory Networks
... and text into a uniform structured representation, allowing interleaved propagation of ...a universal schema matrix which has pairs of entities as rows, and Freebase and textual relations in ... See full document
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Bidirectional Attentive Memory Networks for Question Answering over Knowledge Bases
... The other line of work (the IR-based) has fo- cused on mapping answers and questions into the same embedding space, where one could query any KB independent of its schema without requiring any grammar or lexicon. ... See full document
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Open Domain Question Answering Using Early Fusion of Knowledge Bases and Text
... Value Memory Networks model from Miller et ...but using only KB and ignoring the ...and text as memories. For text we use a BiLSTM over the entire sentence as keys, and entity mentions ... See full document
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Interpretable Question Answering on Knowledge Bases and Text
... Analogously to Selvaraju et al. (2017), we com- pute an aggregate score that expresses how much an explanation method helps users to identify the better model. Votes are weighted in the follow- ing way: definitely model ... See full document
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Enhancing Key Value Memory Neural Networks for Knowledge Based Question Answering
... against knowledge bases, es- pecially for those involving multiple entities and relations, which we also call as reasoning over the KBs; (2) training such interpretable question un- derstanding ... See full document
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PullNet: Open Domain Question Answering with Iterative Retrieval on Knowledge Bases and Text
... of text (Dhingra et ...and question into an embedding space, and due to memory limitations cannot be applied to a large corpus instead of a short pas- ...and text for QA. They also differ from ... See full document
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Memory Graph Networks for Explainable Memory grounded Question Answering
... Episodic Memory QA, the task of answering personal user questions grounded on memory graph (MG), where episodic memories and related entity nodes are connected via relational ...synthetic ... See full document
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A Survey of Text Question Answering Techniques
... language question as input, convert the question into a query and forwards it to an IR ...selected question, the QA system classifies it into those classes based on the type of entity it is looking ... See full document
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Question Condensing Networks for Answer Selection in Community Question Answering
... propose Question Condensing Networks (QCN), an attention-based model that can utilize the subject-body relationship in community ques- tions to condense question ...the question body can be ... See full document
10
Tables as Semi structured Knowledge for Question Answering
... as knowledge bases for question ...research question of this paper was the trade-off between the degree of structure in a knowledge base and its ability to be harvested or reasoned ... See full document
10
Question Answering Using a Large Text Database: A Machine Learning Approach
... [r] ... See full document
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Differential Networks for Visual Question Answering
... During the data embedding phase, the image features are mapped to the size of 36 × 2048 and the text features are mapped to the size of 2400. In the differential fusion phase, the number of hidden layer in DF is ... See full document
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“Dialog Navigator”: A Question Answering System Based on Large Text Knowledge Base
... ??????? ?? ??? ??? ? ???? ??? ????????? ??? ?? ????? ?? ????? ??? ????????? ???? ???? ??????? ???? ?? ???????? ??? ?????? ????? ????????? ??? ?? ????????? ?? ????? ?????????? ????????? ??? ?? ????????[.] ... See full document
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Improving Question Answering with External Knowledge
... We use the noun phrase chunker in spaCy 2 to extract concept mentions. For information re- trieval, we use the version 7.4.0 of Lucene (Mc- Candless et al., 2010) and set the maximum num- ber of the retrieved sentences K ... See full document
11
Constraint Based Question Answering with Knowledge Graph
... constraint question (MulCQ) to a multi-constraint query graph (MulCG); (2) A new QA data-set, name- ly ComplexQuestions, is released, aiming to measure the quality of KBQA systems on multi-constraint ... See full document
12
Knowledge Based Question Answering as Machine Translation
... typical knowledge-based question an- swering (KB-QA) system faces two chal- lenges: one is to transform natural lan- guage questions into their meaning repre- sentations (MRs); the other is to retrieve ... See full document
10
Strong Baselines for Simple Question Answering over Knowledge Graphs with and without Neural Networks
... years, researchers have applied many NN archi- tectures for tackling this problem: Golub and He (2016) proposed a character-level attention-based encoder-decoder framework; Dai et al. (2016) pro- posed a conditional ... See full document
6
Arabic Question Answering: A Study on Challenges, Systems, and Techniques
... of Question Answering Systems, presenting the general architecture for QAS on structured as well as unstructured ...building question answering systems, the impacts they have upon the ... See full document
9
Question answer relationship strategy increases reading comprehension among Kindergarten students
... 1) knowledge of teaching and learning pedagogy; 2) collegiality; 3) engagement in life-long learning and growth; 4) awareness of change processes within the educational context and the larger community; and, 5) a ... See full document
20
KVQA: Knowledge-Aware Visual Question Answering
... Question answering about image, also popularly known as Visual Question Answering (VQA), has gained huge inter- est in recent years (Goyal et ...Visual Question Answering ... See full document
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