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[PDF] Top 20 Mapping between Dependency Structures and Compositional Semantic Representations

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Mapping between Dependency Structures and Compositional Semantic Representations

Mapping between Dependency Structures and Compositional Semantic Representations

... the governing lexical EP by creation of a new argument re- lation. In figure 8, the node for StB must therefore be pro- cessed in the composition step of both node-RMRSs for the ˇr´ıdit node and the kontrolovat node. ... See full document

7

Is the Stanford Dependency Representation Semantic?

Is the Stanford Dependency Representation Semantic?

... our mapping task, as the Stanford dependen- cies will typically not distinguish between PPs indicating arguments and ...identical dependency structures, yet “coupons” and “John” are (hopefully ... See full document

5

Transforming Dependency Structures to Logical Forms for Semantic Parsing

Transforming Dependency Structures to Logical Forms for Semantic Parsing

... 4 Semantic Parsing as Graph Matching We next describe how the ungrounded logical forms from the previous section are mapped to a fully grounded semantic representation that can be used for question ... See full document

14

Logical Inference on Dependency based Compositional Semantics

Logical Inference on Dependency based Compositional Semantics

... off-the-shelf dependency parser, and semantic representations are obtained from sim- ple rule-based conversion from dependency trees, there will be only one (right or wrong) interpre- tation ... See full document

11

Learning Semantically and Additively Compositional Distributional Representations

Learning Semantically and Additively Compositional Distributional Representations

... distributional representations are expected to have additive ...linear mapping, as suggested by the logical interactions between the two oper- ations (Section ... See full document

11

Learning Dependency Based Compositional Semantics

Learning Dependency Based Compositional Semantics

... call dependency-based compositional semantics ...tree structures called DCS ...syntactic dependency trees, which facilitates parsing; and (ii) a DCS tree essentially encodes a constraint ... See full document

59

Driving Semantic Parsing from the World’s Response

Driving Semantic Parsing from the World’s Response

... to semantic parsing, the task of converting text to a formal meaning representation, rely on annotated training data mapping sentences to logi- cal ...complex structures which only rely on a binary ... See full document

10

Compositional Semantic Parsing across Graphbanks

Compositional Semantic Parsing across Graphbanks

... single semantic parser that does very well across all of DM, PAS, PSD, EDS and AMR (2015 and ...the compositional neural AMR parser of Groschwitz et ...its compositional tree structure and learns to ... See full document

10

Learning Dependency Based Compositional Semantics

Learning Dependency Based Compositional Semantics

... first mapping the questions into logical forms (semantic ...pervised semantic parsers (Zelle and Mooney, 1996; Tang and Mooney, 2001; Ge and Mooney, 2005; Zettlemoyer and Collins, 2005; Kate and ... See full document

10

A Re ranking Model for Dependency Parser with Recursive Convolutional Neural Network

A Re ranking Model for Dependency Parser with Recursive Convolutional Neural Network

... dense representations in a dependency ...and compositional-semantic representations of phrases and ...for dependency parsing. For each node in a given dependency tree, we ... See full document

10

Towards Compositional Tree Kernels

Towards Compositional Tree Kernels

... word representations in order to characterize a model for sentence ...tional Semantic (DCS) models capture bi-gram se- mantics, but they are not sensitive to the syntactic structure ... See full document

9

Invited Talk: Slacker Semantics: Why Superficiality, Dependency and Avoidance of Commitment can be the Right Way to Go

Invited Talk: Slacker Semantics: Why Superficiality, Dependency and Avoidance of Commitment can be the Right Way to Go

... As an extreme alternative, we could use la- bels which were individual to each predicate, such as LIKER and LIKED (e.g., Pollard and Sag (1994)). For such role labels to have a consistent meaning, they would have to be ... See full document

9

A Strategy for Dynamic Interpretation: a Fragment and an Implementation

A Strategy for Dynamic Interpretation: a Fragment and an Implementation

... The implementation consists of a syntax module which outputs parse trees, a semantic module mapping parse trees to DPL representations, a repre- sentation processor which determines trut[r] ... See full document

10

A Compositional and Interpretable Semantic Space

A Compositional and Interpretable Semantic Space

... like a black box - it is unclear what VSM dimen- sions represent (save for broad classes of corpus statistic types) and what the application of a com- position function to those dimensions entails. Neu- ral network (NN) ... See full document

10

Mapping Between English Strings and Reentrant Semantic Graphs

Mapping Between English Strings and Reentrant Semantic Graphs

... In between, the amount of SHRG rules is due to the necessity to encode agreement information in non-terminal ...relation between English strings and reentrant graphs more concisely and ... See full document

6

Open IE as an Intermediate Structure for Semantic Tasks

Open IE as an Intermediate Structure for Semantic Tasks

... different structures may be suit- able for different ...of structures, we choose three semantic tasks along with state-of-the-art al- gorithms that make a clear separation between fea- ture ... See full document

6

String to Dependency Statistical Machine Translation

String to Dependency Statistical Machine Translation

... METEOR scores became significantly better for all conditions. TER improved sig- nificantly for Arabic-to-English but marginally on Chinese-to-English tasks. The results on METEOR and TER suggested that the new model did ... See full document

24

Converting Dependency Structures to Phrase Structures

Converting Dependency Structures to Phrase Structures

... differences between the Treebank and the output of the conversion algorithms may not matter much, and by no means are we implying that an existing Treebank pro- vides the gold standard for what the phrase ... See full document

5

A Sequential Model for Classifying Temporal Relations between Intra Sentence Events

A Sequential Model for Classifying Temporal Relations between Intra Sentence Events

... classification between intra- sentence ...and compositional meanings of the multi-word context between events are important for distinguishing among fine-grained tempo- ral ...the dependency ... See full document

7

Backpropagating through Structured Argmax using a SPIGOT

Backpropagating through Structured Argmax using a SPIGOT

... not use syntax. It first encodes an input sentence with a two-layer BiLSTM, and then computes part scores with two-layer tanh-MLPs. Inference is conducted with AD 3 (Martins et al., 2015). To add syntactic features to N ... See full document

11

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