[PDF] Top 20 AMR to text Generation with Synchronous Node Replacement Grammar
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AMR to text Generation with Synchronous Node Replacement Grammar
... graph. AMR uses a graph to represent meaning, where nodes (such as “boy”, “want-01”) represent concepts, and edges (such as “ARG0”, “ARG1”) represent relations between ...structure, AMR is useful for NLP ... See full document
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Modeling Graph Structure in Transformer for Better AMR to Text Generation
... an AMR graph with plenty con- cepts, linearizing it into a sequence tends to lose great amount of structural ...source AMR graphs to different groups by their sizes ...when AMR graphs become big, ... See full document
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AMR to text generation as a Traveling Salesman Problem
... (sentence, AMR) pair, a phrase-fragment pair is a pair ([i, j], f ), where [i, j] is a span of the sentence and f represents a connected and rooted AMR ...for generation are the result of applying an ... See full document
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Enhancing AMR to Text Generation with Dual Graph Representations
... Damonte and Cohen (2019) show that off-the- shelf GCNs cannot achieve good performance for AMR-to-text generation. To tackle this issue, Guo et al. (2019) introduce dense connectivity to GNNs in ... See full document
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Structural Neural Encoders for AMR to text Generation
... the AMR of Figure 1(a) contains a reentrancy between fin- ger and he, caused by the possessive pronoun ...his. AMR-to-text generation is the task of auto- matically generating natural language ... See full document
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A Graph to Sequence Model for AMR to Text Generation
... input AMR, while S2S fails ...the node “p / provide” simulta- neously with relation “ARG0” when calculating hidden states for “a / agree”, which facilitates the yielding of “the agreement ... See full document
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Linguistic realisation as machine translation: Comparing different MT models for AMR to text generation
... of AMR-sentence pairs obtained by the aligner described in Pourdamghani et ...the AMR formal- ism caused by the ratio of broad vocabulary and rel- atively small amount of data, this aligner drops a ... See full document
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Improving Language Generation from Feature Rich Tree Structured Data with Relational Graph Convolutional Encoders
... to text generation task like SQL to text generation (Xu et ...2018b), AMR-to-text generation (Beck et ...of node representations in graphs (Kipf and Welling, 2017), ... See full document
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A Synchronous Hyperedge Replacement Grammar based approach for AMR parsing
... an AMR graph where the edges are labeled while the nodes are ...a node represents the concept of the node, and the label of a non-leaf edge shows the relation be- tween the concepts of the two nodes ... See full document
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Title Generation with Quasi Synchronous Grammar
... source node on the left and the target node on the ...original text, while other nodes have a combined phrase and dependency label that they ob- tain in the merged representation described in Sec- ... See full document
11
Generalized Multitext Grammars
... some empty tuples corresponds to modeling rela- tions of different dimensionalities. This capability enables a synchronous grammar to govern lower- dimensional sublanguages/translations. For exam- ple, an ... See full document
8
Generation for Grammar Engineering
... of grammar exercises for learners of french and (ii) for creating a bank of MRSs to be used for the evalua- tion and comparison of data-to-text ...During grammar traver- sal, G RA D E reconstructs ... See full document
9
On the Complexity of Alignment Problems in Two Synchronous Grammar Formalisms
... the grammar induces a target-side island-free, sure- possible sorted alignment if and only if the 3SAT in- stance is ...the grammar does not guarantee that all induced alignments are target-side ... See full document
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A Formal Characterization of Parsing Word Alignments by Synchronous Grammars with Empirical Evidence to the ITG Hypothesis
... iomatic expressions. Our coverage results make ex- plicit a relevant dilemma. To hierarchically parse the current automatic word alignments exactly, we will need more general synchronous reordering mecha- nisms ... See full document
10
Reflexives and Reciprocals in Synchronous Tree Adjoining Grammar
... sister node as its argument; however, if an entity fills that position in the sen- tence instead of a reflexive, the entity would be an argument and its sister node the ... See full document
12
A Synchronous Context Free Grammar for Time Normalization
... Our grammar produces multiple parses when the input is ambiguous. For example, the expression Monday could mean either the previous Monday or the following Monday, and the expression the day could refer either to ... See full document
6
Neural AMR: Sequence to Sequence Models for Parsing and Generation
... generating text using Abstract Meaning Representation (AMR) has been limited, due to the relatively lim- ited amount of labeled data and the non- sequential nature of the AMR ...the AMR ... See full document
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Issues Concerning Decoding with Synchronous Context free Grammar
... We extracted a GHKM grammar from a Chinese- English parallel corpus with the English side parsed. The corpus consists of 250K sentence pairs, which is 6.3M words on the English side. Terminal-aware ... See full document
5
A Problem Solving Approach to Generating Text From Systemic Grammars
... The text generation approach described here is simply the standard AI knowledge-based problem solving metho- dology, with a systemic grammar acting as Dart of the knowledge base... One o[r] ... See full document
7
Machine Translation Using Probabilistic Synchronous Dependency Insertion Grammars
... Almost any tree-transduction operations de- fined on a single node will fail to generate the tar- get sentence from the source sentence without using insertion/deletion operations. However, if we view each ... See full document
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