[PDF] Top 20 A Generative Model for Parsing Natural Language to Meaning Representations
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A Generative Model for Parsing Natural Language to Meaning Representations
... Our evaluations were performed on two corpora, G EOQUERY and R OBOCUP . The G EOQUERY cor- pus contains MR defined by a Prolog-based lan- guage used in querying a database on U.S. geogra- phy. The R OBOCUP corpus ... See full document
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Parsing Meaning Representations: Is Easier Always Better?
... (MR) parsing is the task of parsing natural language sentences into a formal representation that encodes the meaning of a sen- ...ural language processing, meaning ... See full document
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Klein and Manning generative induction pdf
... a generative distributional model for the unsupervised induction of natural language syntax which explicitly models constituent yields and con- ...supervised parsing results on the ATIS ... See full document
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Hidden Understanding Models of Natural Language
... 3.1 Semantic Language Model For tree structured meaning representations, individual nonterminal nodes determine particular abstract semantic concepts.. In the semantic language model, ea[r] ... See full document
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Language to Logical Form with Neural Attention
... tactic parsing (Vinyals et ...semantic parsing task. Our model learns from natural language descriptions paired with meaning representations; it encodes sentences and ... See full document
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Proceedings of the Shared Task on Cross Framework Meaning Representation Parsing at the 2019 Conference on Natural Language Learning
... Framework Meaning Representation Parsing (MRP) at the Conference for Computational Language Learning ...target representations, mode of operation, and participating systems in a ‘system ... See full document
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Deterministic natural language generation from meaning representations for machine translation
... source language sen- tences into meaning representations that are inputs for generation to produce target language ...semantic parsing systems are now available, representations ... See full document
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A Survey of Natural Language Query Builder Interface for Structured Databases using Dependency Parsing
... In Natural Language Processing a common set of characteristics can be generally assumed about the used grammars: the lexical items that define the nodes are the word forms; the parsing is concerned ... See full document
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A Probabilistic Forest to String Model for Language Generation from Typed Lambda Calculus Expressions
... of natural lan- guage expressions, which all share the same seman- tics but with very different word choices, phrase or- derings, and syntactic structures (like ...mapping meaning representations and ... See full document
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Learning Structured Natural Language Representations for Semantic Parsing
... intermediate representations for the test instances and evaluated the learned represen- tations against ...predicted representations and the human ...predicted representations have the same structure ... See full document
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Hierarchical Meaning Representation and Analysis of Natural Language Documents
... HIERARCHICAL MEANING REPRESENTATION AND ANALYSIS OF NATURAL LANGUAGE DOCUMENTS HIERARCHICAL MEANING REPRESENTATION AND ANALYSIS OF NATURAL LANGUAGE DOCUMENTS Toyo aki NISHIDA and Shuji DOSHITA Departm[.] ... See full document
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Unsupervised Latent Tree Induction with Deep Inside Outside Recursive Auto Encoders
... Neural Inside-Outside Parsers The Inside- Outside Recursive Neural Network (IORNN) (Le and Zuidema, 2014) is closest to ours. It is a graph-based dependency parser that uses beam search and can reliably find accurate ... See full document
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Towards a Computational Formalization of Natural Language Semantics
... TOWARDS A COMPUTATIONAL FORMALIZATION OF NATURAL LANGUAGE SEMANTICS ? \ I~I~RODUCTION The problem of explicating the meaning of natural language discourse and how this meaning is obtained has been of[.] ... See full document
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Coordinate Noun Phrase Disambiguation in a Generative Parsing Model
... overall parsing task, our ap- proach resembles the efforts to improve coordi- nation disambiguation in (Kurohashi, 1994; Rat- naparkhi, 1994; Charniak and Johnson, ... See full document
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The ERG at MRP 2019: Radically Compositional Semantic Dependencies
... guarantees n-best enumeration from the parse for- est in globally correct rank order. At its core, this is a specialized search procedure on a weighted and–or graph (the forest), where for packed (i.e. disjunctive) nodes ... See full document
5
Language Based Environment for Natural Language Parsing
... In the Figure 2 states labelled "BUILD PHRASE ON RIGHT" and "FIND REGENT ON RIGHT" push the verb to the left stack and pop the right stack for the current constituent.. When the verb is [r] ... See full document
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Linguistic Meaning and Knowledge Representation in Automatic Understanding of Natural Language
... LINGUISTIC MEANING AND KNOWLEDGE REPRESENTATION IN AUTOMATIC UNDERSTANDING OF NATURAL LANGUAGE LINGUISTIC MEANING AND KNOWLEDGE REPRESENTATION IN AUTOMATIC UNDERSTANDING OF NATURAL LANGUAGE Eva Haji~o[.] ... See full document
9
Goal Oriented Parsing: Improving the Efficiency of Natural Language Access to Relational Data Bases
... GOAL ORIENTED PARSING IMPROVING THE EFFICIENCY OF NATURAL LANGUAGE ACCESS TO RELATIONAL DATA BASES GOAL ORIENTED PARSING IMPROVING THE EFFICIENCY OF NATURAL LANGUAGE ACCESS TO RELATIONAL DATA BASES Gi[.] ... See full document
8
Using String Kernels for Learning Semantic Parsers
... semantic parsing because it involves mapping phrases of natural language (NL) sentences to se- mantic concepts in a meaning representation lan- guage ...that natural languages are so ... See full document
8
Contextual Grammars as Generative Models of Natural Language
... Speaking strictly from a formal language theory point of view, the behavior of these grammars is not spectacular: the family of generated languages is incomparable with the family of con[r] ... See full document
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