[PDF] Top 20 Graph structured Stack and Natural Language Parsing
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Graph structured Stack and Natural Language Parsing
... This example demonstrates that Categodal Grammars can be implemented as shift-reduce parsing with a graph-structured stack, it Is interesting that this algorithm is almost equivalent to [r] ... See full document
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Hierarchical Directed Acyclic Graph Kernel: Methods for Structured Natural Language Data
... We will now elucidate an efficient processing algo- rithm. First, as a pre-process, the nodes are sorted under the following condition: all nodes that have a path to the focused node and are in the graph in- side ... See full document
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An Empirical Investigation of Structured Output Modeling for Graph based Neural Dependency Parsing
... In the past few years, dependency parsers, equipped with neural network models, have led to impressive empirical successes on parsing accu- racy (Chen and Manning, 2014; Weiss et al., 2015; Dyer et al., 2015; ... See full document
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Generalized Left Corner Parsing
... In contrast, the time and space requirements of GLC parsing using a graph-structured stack are only a negligible quantity above that of nondeterministic LC parsing if no nondeterminism o[r] ... See full document
10
Active Learning for Statistical Natural Language Parsing
... and selected samples are weighted by density. Both ac- tive learning and random selection are run 40 times, each time selecting 100 samples. The horizontal line on the graph is the performance if all 20K sentences ... See full document
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Stack Pointer Networks for Dependency Parsing
... Top-down Parsing. When humans comprehend a natural language sentence, they arguably do it in an incremental, left-to-right manner. How- ever, when humans consciously annotate a sen- tence with ... See full document
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AMR Parsing using Stack LSTMs
... for natural language parsing (Yamada and Matsumoto, 2003; Nivre, 2003, 2004, 2008) are formulated as a series of decisions that read words from a buffer and incre- mentally combine them to form ... See full document
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A Shallow Parsing Approach to Natural Language Queries of a Database
... converting natural language into struc- tured query language can be problematic in handling nuances that are preva- lent in natural ...understand language nuance, therefore the question ... See full document
18
Efficient combinator parsing for natural-language.
... to natural-language ...on natural-language semantics to be integrated with and investigated within syntactic-analysis, thereby providing a useful environment for natural-language ... See full document
112
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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Generating Fine Grained Open Vocabulary Entity Type Descriptions
... Text Generation from Structured Data. Re- search on methods to generate descriptions for en- tities has remained scant. Lebret et al. (2016) take Wikipedia infobox data as input and train a custom form of neural ... See full document
12
Utilizing Dependency Language Models for Graph based Dependency Parsing Models
... Semi-supervised Structured Conditional Model (SS- SCM)(Suzuki and Isozaki, 2008) to the dependency parsing problem and combined their method with the approach of Koo et ... See full document
10
Discriminative Reranking for Natural Language Parsing
... The remainder of this article is structured as follows. Section 2 reviews history- based models for NLP and highlights the perceived shortcomings of history-based models which motivate the reranking approaches ... See full document
46
Learning Structured Natural Language Representations for Semantic Parsing
... on parsing and lexi- cal mapping, sidestepping the challenging struc- ture mapping problem which would result in a larger search space and higher ...between natural language and domain- specific ... See full document
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A Survey of Natural Language Query Builder Interface for Structured Databases using Dependency Parsing
... their parsing are graph-based ...the graph-based models learn a model of the globally best dependency graph given an input ...Generally, graph-based models define a scoring or ... See full document
6
Head Driven Statistical Models for Natural Language Parsing
... for natural language ...on parsing accuracy, by collecting frequencies of various structures in the treebank, and through linguistically motivated ...to parsing the treebank, aiming to give ... See full document
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A Generative Model for Parsing Natural Language to Meaning Representations
... In this paper, we present an algorithm for learning a generative model of natural lan- guage sentences together with their for- mal meaning representations with hierarchi- cal structures. The model is applied to ... See full document
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Parsing Natural Language Queries for Life Science Knowledge
... propose natural language (NL) query as a potential solution to the ...problem. Natural language, ...forward language for human ...query language of ... See full document
10
Some Fine Points of Hybrid Natural Language Parsing
... Another problematic aspect of German particle verbs is that they not only constitute discontinuous lexical items, but rather discontinuous predicates, that is, the argument struc- ture of a particle verb is jointly ... See full document
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Clausal parsing helps data driven dependency parsing: Experiments with Hindi
... of parsing mainly because the syntactic cues neces- sary to identify various relations are complex and distributed (Tsarfaty et ...overall parsing accuracy by combin- ing the strengths of multiple ... See full document
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