[PDF] Top 20 Learning Representation Mapping for Relation Detection in Knowledge Base Question Answering
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Learning Representation Mapping for Relation Detection in Knowledge Base Question Answering
... of question. “mu- sic.recording.producer” is the gold relation, but it is an unseen ...this relation is seen and perhaps relevant in the training ...seen relation, ...closest relation ... See full document
10
Improved Neural Relation Detection for Knowledge Base Question Answering
... large relation sets and unseen relations becomes more ...pre-trained relation embeddings ...the relation names to sequences and for- mulate relation detection as a sequence match- ing ... See full document
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Interactive Instance based Evaluation of Knowledge Base Question Answering
... Leia. Representation analysis The visual inspection of the learned vector representation in the two final blocks makes it possible to identify implementation or training errors in the QA ...is ... See full document
6
Multi-Task Learning with Multi-View Attention for Answer Selection and Knowledge Base Question Answering
... in knowledge base question an- swering (Yu et ...Multi-Task Learning Recent years have witnessed great successes of applying multi-task learning with neural net- works on many NLP ... See full document
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An End to End Model for Question Answering over Knowledge Base with Cross Attention Combining Global Knowledge
... graph contains all the entities and relations con- nected to the answer entity. The final vector is also obtained by bag-of-words strategy. Yang et al. (2014) follow the SP-based manner, but uses embeddings to map ... See full document
11
Learning Knowledge Graphs for Question Answering through Conversational Dialog
... a question-answering sys- tem can learn about its domain from conver- sational ...a knowledge graph (KG), and uses the graph to solve ...acquire knowledge for question-answering ... See full document
11
Learning to Paraphrase for Question Answering
... years. Question answering (QA) is challeng- ing due to the many different ways natural lan- guage expresses the same information ...founder relation in order to retrieve the correct answer from a ... See full document
12
Hybrid Question Answering over Knowledge Base and Free Text
... given a relational phrase rp, our goal is to find the tr that has the same meaning as rp, which can be treated as a paraphrase task. Our framework accommodates any paraphrasing method, such as the method based on dynamic ... See full document
11
Semantic Parsing via Staged Query Graph Generation: Question Answering with Knowledge Base
... the question “Who first voiced Meg on Family Guy?” to FamilyGuy (the TV show) in the knowledge base, the procedure needs only to examine the predicates that can be applied to FamilyGuy instead of all ... See full document
11
Semantic Parsing for Single Relation Question Answering
... deep learning based techniques have been proposed for semantic un- derstanding (Mesnil et ...a question and relational triples in the KB as the core compo- nent of our semantic parsing ... See full document
6
UHop: An Unrestricted Hop Relation Extraction Framework for Knowledge Based Question Answering
... the relation distri- ...extracting relation paths and filling templates, which can lead to questions with obvious, learn- able ...dynamic question representations with respect to these ... See full document
12
Evolution of Techniques for Question Answering over Knowledge Base: A Survey
... the knowledge base subgraphs and can be mapped directly to a logical form ...leverages knowledge base for pruning the search space at an early stage and thus simplifies the issue of semantic ... See full document
6
Multi Task Learning for Conversational Question Answering over a Large Scale Knowledge Base
... the question and the predicted ...the question, which can be naturally used to handle coreference problem in ...entity detection for fully leveraging all supervision ... See full document
10
The Value of Semantic Parse Labeling for Knowledge Base Question Answering
... the mapping of text to a mean- ing ...on learning to build semantic parsers made use of datasets of questions and their associated semantic parses (Zelle and Mooney, 1996; Zettlemoyer and Collins, 2005; ... See full document
6
Modeling Relation Paths for Representation Learning of Knowledge Bases
... tional learning as a multi-relational representation learning problem, encoding both entities and re- lations in a low-dimensional latent space, based on Bayesian clustering (Kemp et ...existing ... See full document
10
Exploring Syntactic Relation Patterns for Question Answering
... syntactic relation patterns for open- domain factoid question ...of question words, including target words, head words, subject words and verbs, from syntactic ... See full document
12
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
Integrating Subject, Type, and Property Identification for Simple Question Answering over Knowledge Base
... The semantic parsing approach which often re- quires the human annotated logical form may in- crease the cost of obtaining training data. Although the use of rule-based method to generate logical forms can reduce the use ... See full document
10
Interactive Language Learning by Question Answering
... declarative knowledge — the knowledge of facts or events that can be stated explicitly ...declarative knowledge can often be extracted straightforwardly through pat- tern ...of knowledge — ... See full document
18
Interpretable Question Answering on Knowledge Bases and Text
... machine learning (ML) models becomes more relevant with their in- creasing ...based question answer- ing (QA) models on a combination of knowl- edge bases (KB) and text ... See full document
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