Semantic parsing
Sentence Rewriting for Semantic Parsing
... of semantic parsing is the vocabulary mismatch problem be- tween natural language and target ontol- ...based semantic parsing method, which can effectively resolve the mismatch problem by ...
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Performing Integrated Syntactic and Semantic Parsing Using Classification
... Performing Integrated Syntactic and Semantic Parsing Using Classification Performing Integrated Syntactic and Semantic Parsing Using Classification Robert T Kasper and Eduard H H o v y Information Sci[.] ...
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Constrained Semantic Forests for Improved Discriminative Semantic Parsing
... on semantic parsing used this dataset for evaluations (Wong and Mooney, 2006; Kate and Mooney, 2006; Lu et ...tree-structured semantic repre- ...output semantic representation from our ...put ...
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Semantic Parsing with Dual Learning
... A semantic parser can be trained from labeled logical forms or weakly supervised samples (Krishnamurthy and Mitchell, 2012; Be- rant et ...a semantic parsing dataset starting from grammar rules to ...
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Evaluating FrameNet style semantic parsing: the role of coverage gaps in FrameNet
... automated semantic parsing for a variety of applications requires im- proving the ability of systems to process unre- stricted ...semi-supervised semantic role labelling (F¨urstenau and Lapata, ...
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Semantic Parsing via Paraphrasing
... in semantic parsing is handling the myriad ways in which knowl- edge base predicates can be ...Traditionally, semantic parsers are trained primarily from text paired with knowledge base ...turn ...
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Neural Shift Reduce CCG Semantic Parsing
... CCG parsing largely relies on two types of ac- tions: using a lexicon to map words to their cate- gories, and combining categories to acquire the cat- egories of larger ...most semantic pars- ing ...
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Semantic Parsing as Machine Translation
... Our results validate the hypothesis that it is possi- ble to adapt an ordinary MT system into a work- ing semantic parser. In spite of the compara- tive simplicity of the approach, it achieves scores comparable to ...
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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- ...the parsing ...
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Generative Alignment and Semantic Parsing for Learning from Ambiguous Supervision
... for semantic parsing and tactical genera- ...and semantic parsing are measured us- ing F-measure, the harmonic mean of precision and recall, where precision is the fraction of the system’s ...
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Grounded Unsupervised Semantic Parsing
... syntactic parsing errors that are too severe to ...syntactic- semantic parsing, using k-best trees or even the parse forest as input and reranking the top parse using semantic ...
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Polyglot Semantic Parsing in APIs
... to semantic parsing (SP) work by training individual models for each available parallel dataset of text-meaning ...polyglot semantic translation, or learning se- mantic parsing models that are ...
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A Deep Architecture for Semantic Parsing
... to semantic parsing build on top of the syntactic anal- ysis of text, and make use of distribu- tional representations or statistical mod- els to match parses to ontology-specific ...mantic parsing ...
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Shallow Semantic Parsing of Chinese
... of semantic parsing in ...English semantic parsing worked well when applied to ...syntactic parsing. Finally, we showed that semantic parsing is significantly easier in ...
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Semantic Parsing for Textual Entailment
... general-purpose semantic parsing into graph- based meaning representations, which provide greater expressive power than tree-based struc- ...and Semantic Dependency Parsing (SDP) (Oepen et ...
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Discriminative Reranking for Semantic Parsing
... Semantic parsing is the task of mapping natural language sentences to complete formal meaning ...of semantic parsing can be po- tentially improved by using discrimina- tive reranking, which ...
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Probabilistic Frame Semantic Parsing
... In this paper, we present a computational and statistical model for frame-semantic parsing, the problem of extracting from text semantic predicate- argument structures such as those shown in Fig. 1. ...
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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 ...
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Frame Semantic Parsing
... Frame semantics is a linguistic theory that has been instantiated for English in the FrameNet lexicon. We solve the problem of frame-semantic parsing using a two-stage statistical model that takes lexical ...
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Reranking for Neural Semantic Parsing
... Generative Reconstruction Feature Our re- construction feature log p(z 7→ x) is a genera- tive model that scores the coherence and adequacy of an MR z using the probability of reproducing the original input utterance x ...
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