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[PDF] Top 20 Bidirectional Attentive Memory Networks for Question Answering over Knowledge Bases

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Bidirectional Attentive Memory Networks for Question Answering over Knowledge Bases

Bidirectional Attentive Memory Networks for Question Answering over Knowledge Bases

... modules, which confirms that the real power of our method comes from the idea of hierarchical two-way attention. As we can see, when turning off the two-layered bidirectional attention network, the model ... See full document

11

Open Domain Question Answering Using Early Fusion of Knowledge Bases and Text

Open Domain Question Answering Using Early Fusion of Knowledge Bases and Text

... Domain Question Answering (QA) is evolving from complex pipelined systems to end-to-end deep neural ...or Knowledge Bases (KBs) ...QA over the combination of a KB and entity- linked ... See full document

12

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

6

CFO: Conditional Focused Neural Question Answering with Large scale Knowledge Bases

CFO: Conditional Focused Neural Question Answering with Large scale Knowledge Bases

... built knowledge bases provide rich sources of ...to answering fac- toid questions with knowledge ...a question to find more probable candidate subject men- tions, and infers the final ... See full document

11

PullNet: Open Domain Question Answering with Iterative Retrieval on Knowledge Bases and Text

PullNet: Open Domain Question Answering with Iterative Retrieval on Knowledge Bases and Text

... 4.4 Subgraph Retrieval for Baseline Models Text is retrieved (non-iteratively) using IDF-based similarity to the question. It is not obvious how to perform KB retrieval: we would like to retrieve as many facts as ... See full document

11

Dual Constrained Question Embeddings with Relational Knowledge Bases for Simple Question Answering

Dual Constrained Question Embeddings with Relational Knowledge Bases for Simple Question Answering

... incorporate them into the model. Some models such as (Yih et al., 2015; Dai et al., 2016) fo- cus on deep networks to encode question words and KB constituents. (Dai et al., 2016) have mod- eled the ... See full document

5

Declarative Question Answering over Knowledge Bases Containing Natural Language Text with Answer Set Programming

Declarative Question Answering over Knowledge Bases Containing Natural Language Text with Answer Set Programming

... to-end question answering systems, such systems often strug- gle when additional knowledge is needed to correctly an- swer the ...the question and the natural language text to a logical rep- ... See full document

8

Interpretable Question Answering on Knowledge Bases and Text

Interpretable Question Answering on Knowledge Bases and Text

... improving over- all performance” and conclude that “the amalgam of both text and KB is superior than KB ...on question-answer pairs from SPADES (Bisk et ... See full document

9

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

... a knowledge base K and text T . Few example question answer pairs are shown in Table 2. Universal Schema Traditionally universal schema is used for relation extraction in the context of knowledge ... See full document

8

Answering Definition Questions Using Web Knowledge Bases

Answering Definition Questions Using Web Knowledge Bases

... definition question answering from ...the question target (the concept for which information is being sought is called the target term, or simply, the target) from multiple ... See full document

9

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

11

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

Question Answering over Freebase with Multi Column Convolutional Neural Networks

Question Answering over Freebase with Multi Column Convolutional Neural Networks

... tion over the structured knowledge base (Yao and Van Durme, 2014; Bordes et ...search knowledge bases and obtain the ...using question-answer pairs, instead of annotated logical forms ... See full document

10

Alignment over Heterogeneous Embeddings for Question Answering

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

Enhancing Key Value Memory Neural Networks for Knowledge Based Question Answering

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- ... See full document

11

Improving Question Answering with External Knowledge

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

Question Condensing Networks for Answer Selection in Community Question Answering

Question Condensing Networks for Answer Selection in Community Question Answering

... search over combina- tions of initial learning rate [1 × 10 −6 , 3 × 10 −6 , 1 × 10 −5 ], L2 regularization parameter [1 × 10 −7 , 3 × 10 −7 , 1 × 10 −6 ], and batch size [8, 16, ...probability over the ... See full document

10

Differential Networks for Visual Question Answering

Differential Networks for Visual Question Answering

... Given an image and a related question, the Visual Ques- tion Answering (VQA) task requires the machine to deter- mine the correct answer. From an application perspective, VQA improves human-computer ... See full document

8

Towards Harnessing Memory Networks for Coreference Resolution

Towards Harnessing Memory Networks for Coreference Resolution

... how memory networks can be helpful for coreference resolu- tion when posed as question answering ...of memory networks assists corefer- ence resolution, particularly for the men- ... See full document

6

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

... QA over Freebase, and formu- late the task into a probabilistic ...a question q, the first step is to find the candidate re- lation r with high probability ... See full document

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