[PDF] Top 20 Hybrid Question Answering over Knowledge Base and Free Text
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Hybrid Question Answering over Knowledge Base and Free Text
... Over time, the QA task has evolved into two main streams – QA on unstructured data, and QA on structured data. TREC QA evaluations (Voorhees and Tice, 1999) have been explored as a platform for advancing the state ... 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. Bordes ... See full document
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Question Answering on Knowledge Bases and Text using Universal Schema and Memory Networks
... a knowledge base K and text T . Few example question answer pairs are shown in Table ...of knowledge base ...of text that exist between these two entities in a large ... See full document
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Semantic Parsing via Staged Query Graph Generation: Question Answering with Knowledge Base
... et al., 2013), which consists of 5,810 ques- tion/answer pairs. These questions were collected using Google Suggest API and the answers were obtained from Freebase with the help of Amazon MTurk. The questions are split ... 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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Improving Question Answering over Incomplete KBs with Knowledge Aware Reader
... tured text on the Internet can easily cover a wide range of evolving knowledge, which is commonly used for open-domain question answering (Chen et ...with text data. Recently, ... See full document
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Declarative Question Answering over Knowledge Bases Containing Natural Language Text with Answer Set Programming
... the question and the answer choice using the code from (Khot, Sabharwal, and Clark 2018), which is then passed to an entailment function to compute the con- fidence ...a question, BiDaF returns a substring ... See full document
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Learning Representation Mapping for Relation Detection in Knowledge Base Question Answering
... Integration to the KBQA To confirm the in- fluence of unseen relation detection for the entire KBQA, we integrate our relation detection model into a prototype KBQA framework. During the entity linking step, we use ... See full document
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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
12
PullNet: Open Domain Question Answering with Iterative Retrieval on Knowledge Bases and Text
... open-domain question answering (QA) where answers are drawn from either a corpus, a knowledge base (KB), or a combina- tion of both of ...a question-specific sub- graph that contains ... See full document
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Open Domain Question Answering Using Early Fusion of Knowledge Bases and Text
... Table 1 shows the combined statistics of all the retreived subgraphs for the questions in each dataset. These two datasets present varying levels of difficulty. While all questions in WikiMovies correspond to a single KB ... See full document
12
Tables as Semi structured Knowledge for Question Answering
... Question answering requires access to a knowledge base to check facts and rea- son about ...information. Knowledge in the form of natural language text is easy to ac- quire, but ... See full document
10
Alignment over Heterogeneous Embeddings for Question Answering
... We highlight major trends in the field, and how our work compares with them. We focus mostly on non-factoid QA, which is usually implemented in two forms: multiple-choice QA such as AI2’s Rea- soning Challenge (ARC), ... See full document
11
Strong Baselines for Simple Question Answering over Knowledge Graphs with and without Neural Networks
... with CRFs for entity detection/linking achieves 69.9 and 67.3, respectively. Arguably, the former still takes advantages of neural networks since it uses word embeddings, but the latter is unequivo- cally a ... See full document
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Multi-Task Learning with Multi-View Attention for Answer Selection and Knowledge Base Question Answering
... and knowledge base question an- swering at the same time, with the intuition that these tasks both can be regarded as a ranking problem, but one in text- level and the other in ...given ... See full document
8
The Value of Semantic Parse Labeling for Knowledge Base Question Answering
... can improve over state-of-the-art knowledge base question answering systems. There are a number of potential differences that are likely to contribute to this finding. Unlike previous ... See full document
6
Improved Neural Relation Detection for Knowledge Base Question Answering
... longer question contexts, we propose to build both relation-level and word-level rela- tion ...of question representations in order to match the different levels of relation ...(deeper) question rep- ... 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 ...tagged text is passed to the name identification module and later proper noun identified tagged text is passed to pronoun ... See full document
6
Question Answering over Knowledge Base using Factual Memory Networks
... in Free- base to deal with qualifiers, improve entity disam- biguation mechanism in our model as well as in- clude a mechanism to involve user interaction with system to improve our ...of knowledge ... See full document
7
“Dialog Navigator”: A Question Answering System Based on Large Text Knowledge Base
... ??????? ?? ??? ??? ? ???? ??? ????????? ??? ?? ????? ?? ????? ??? ????????? ???? ???? ??????? ???? ?? ???????? ??? ?????? ????? ????????? ??? ?? ????????? ?? ????? ?????????? ????????? ??? ?? ????????[.] ... See full document
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