[PDF] Top 20 Strong Baselines for Simple Question Answering over Knowledge Graphs with and without Neural Networks
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Strong Baselines for Simple Question Answering over Knowledge Graphs with and without Neural Networks
... of neural networks, the most obvious solution to sen- tence classification would be to apply logistic re- ...sets over the questions: (1) tf-idf on unigrams and bi- grams and (2) word embeddings + ... See full document
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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 ...However, simple vec- tor addition ignores word order information and higher order ...the ... See full document
7
Learning to Compose Neural Networks for Question Answering
... geographical question-answering task first introduced by Krishnamurthy and Kollar ...sual question answering task much simpler than the one just discussed, and is appealing for a number of ... See full document
10
A Neural Network for Factoid Question Answering over Paragraphs
... Recursive neural networks have achieved state-of-the-art performance in sentiment anal- ysis and parsing (Socher et ...tensor networks were unsuccessfully applied to a knowledge base ... See full document
12
Bidirectional Attentive Memory Networks for Question Answering over Knowledge Bases
... deep neural networks have been shown to produce strong re- sults on many NLP ...sub- graphs into a common embedding space and di- rectly match them in that space, and can be typi- cally ... See full document
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Enhancing Key Value Memory Neural Networks for Knowledge Based Question Answering
... 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 Comprehension ...to ... See full document
11
Learning Knowledge Graphs for Question Answering through Conversational Dialog
... explanations without the bottleneck of a hand-built dialog model, but the tradeoff is that we use relatively simple, templated system ...the knowledge graphs we produce are targeted, ... See full document
11
Question Answering over Freebase with Multi Column Convolutional Neural Networks
... extract question features from dependency parse of questions, and used rela- tions and properties in the retrieved topic graph as knowledge base ...for question words and knowledge base ... See full document
10
Retrieve and Re rank: A Simple and Effective IR Approach to Simple Question Answering over Knowledge Graphs
... In Table 3, we report candidate generation re- sults. As expected, recall increases as we in- crease k. This initial candidate generation step surpasses (Table 2) the original Bordes (2015) pa- per and comes close to ... See full document
6
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
Neural Generative Question Answering
... the knowledge in a neural network to achieve a desired precision and cover- age in real world ...which knowledge is acquired, represented and stored. The neural net- work, and more generally ... See full document
7
Neural Arabic Question Answering
... tion question and uses an answer ranking module based on word ...rule-based question answering system and obtains an 84% accuracy on 335 ques- tions based on ...a question, and multiple ... See full document
11
Applying deep matching networks to Chinese medical question answering: a study and a dataset
... We filtered the questions that have adopted answers among all the collected data, which add up to a total of 65941 pieces. Then we cleaned up all the web tags, links, and garbled bytes leaving only digits, punctuations, ... See full document
10
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) system ... See full document
11
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
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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EviNets: Neural Networks for Combining Evidence Signals for Factoid Question Answering
... The TREC QA dataset is composed of factoid questions, which can be answered with an en- tity, and were used in TREC 8-12 question an- swering tracks. Similarly to Sun et al. (2015) we used web search (using the ... See full document
6
Improving Question Answering over Incomplete KBs with Knowledge Aware Reader
... Baselines and Evaluation Key-Value (KV) Memory Network (Miller et al., 2016) is a sim- ple baseline that treats KB triples and documents as memory cells. Specifically, we consider its two variants, KV-KB and ... See full document
7
CFO: Conditional Focused Neural Question Answering with Large scale Knowledge Bases
... the question “Who created the charac- ter Harry Potter” can be answered with the sin- gle fact (HarryPotter, CharacterCreatedBy, ...automatically answering such questions re- mains far from solved — the ... See full document
11
Question Answering on Knowledge Bases and Text using Universal Schema and Memory Networks
... ing comprehension (Sukhbaatar et al., 2015; Hill et al., 2016), where the memory consists of dis- tributed representation of sentences in the compre- hension. Recently, key-value MemNN are intro- duced (Miller et al., ... See full document
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