[PDF] Top 20 Neural Semantic Parsing over Multiple Knowledge bases
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Neural Semantic Parsing over Multiple Knowledge bases
... (Daume III, 2007) and multi-task learning (Caru- ana, 1997; Collobert et al., 2011; Luong et al., 2016; Firat et al., 2016; Johnson et al., 2016). We find that by providing the decoder with a represen- tation of the ... See full document
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Neural Architectures for Multilingual Semantic Parsing
... e.g., neural machine translation (MT) (Dong et ...of multiple encoders, one for each language, and one decoder that is shared across source languages for generating semantic repre- ...during ... See full document
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Data Recombination for Neural Semantic Parsing
... in semantic parsing, making it difficult for neural models with no task-specific prior knowledge to achieve good ...prior knowledge into a ...mantic parsing datasets, leading to ... See full document
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Transfer Learning for Neural Semantic Parsing
... of neural networks to capture complex data representation using deep structure (Johnson et ...being multiple formalisms ...and multiple tasks (question answering, navigation interactions, ... See full document
9
Evaluating semantic relations in neural word embeddings with biomedical and general domain knowledge bases
... the semantic relation distribution in the nearest neighbors defined by other distance methods such as the shortest ...capture semantic relations, it is important to understand the limitations and remedy ... See full document
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Coarse to Fine Decoding for Neural Semantic Parsing
... or multiple conditions, which means that column cond col must satisfy the con- straints expressed by the operator cond op 3 and the condition value ...previous semantic parsing tasks, in that the ta- ... See full document
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Compositional pre training for neural semantic parsing
... Semantic parsing is the process of translating natural language utterances into logical forms, which has many important applications such as question answering and instruction follow- ...prior ... See full document
7
Confidence Modeling for Neural Semantic Parsing
... our knowledge, con- fidence modeling for semantic parsing remains largely ...in neural networks is to place dis- tributions over the network’s weights (Denker and Lecun, 1991; MacKay, ... See full document
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Aligning Texts and Knowledge Bases with Semantic Sentence Simplification
... a semantic sentence simplification method which allows transforming existing cor- pora into sentences aligned with KB ...by multiple, independent con- tributors through a crowdsourcing platform, and (ii) by ... See full document
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Weakly Supervised Neural Semantic Parsing with a Generative Ranker
... Weakly-supervised semantic parsers are trained on utterance-denotation pairs, treating logical forms as ...a neural parser-ranker system for weakly-supervised semantic ...domain knowledge to ... See full document
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Semantic Interpretation of Superlative Expressions via Structured Knowledge Bases
... a neural net- work model is then learnt to select, from Freebase predicates, the most appropriate comparison dimension for a given superla- tive expression, and further determine its ranking order ... See full document
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AdaNSP: Uncertainty driven Adaptive Decoding in Neural Semantic Parsing
... To better model the grammatical and semanti- cal constraints, many decoding methods were de- vised. Dong and Lapata (2018) proposed to gen- erate tokens of an intermediate sketch first, fol- lowed by decoding into final ... See full document
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Grammatical Sequence Prediction for Real Time Neural Semantic Parsing
... Executable semantic parsing is the task of map- ping an utterance to a logical form (LF) that can be executed against a data store (such as a SQL database or a knowledge graph), or interpreted by a ... See full document
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Neural Shift Reduce CCG Semantic Parsing
... CCG parsing operations required to construct the correct ...tween multiple parse trees as latent, and effectively learns from partial analysis when no correct deriva- tion is ... See full document
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Multilingual Semantic Parsing : Parsing Multiple Languages into Semantic Representations
... multilingual semantic parsing, the task of simultaneously parsing sentences from various different languages into their corresponding formal semantic ...new semantic parsing ... See full document
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Linguistic Information in Neural Semantic Parsing with Multiple Encoders
... Sequence-to-sequence neural networks have shown remarkable performance in semantic parsing (Ling et ...of semantic phenomena, usually without resorting to any linguistic information such as ... See full document
8
Exploiting Semantic Role Labeling, WordNet and Wikipedia for Coreference Resolution
... Table 5 shows the relevance of the best perform- ing features on the BNEWS section. As our fea- ture selection mechanism chooses the best set of fea- tures by removing them (see Section 4.2), we eval- uate the ... See full document
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Talking NPCs in a Virtual Game World
... broad knowledge. Thus, he is allowed to access to several knowledge bases and is able to handle questions (and later conversations) about a much larger domain called the “gossip domain” which enables ... See full document
6
Semantic Computing and Language Knowledge Bases
... seen as a crowning achievement of biological evolution, the interpersonal communication is no simpler than human biological mechanism. Language has to be a crucial part of the evolutionary process, which has not been ... See full document
12
Grounded Semantic Parsing for Complex Knowledge Extraction
... In distant supervision (Craven and Kumlien, 1999; Mintz et al., 2009), if two entities are known to have a binary relation in the database, their co- occurrence in a sentence justifies labeling the in- stance with the ... See full document
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