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20152022
most citedSemantic Neural Machine Translation using AMR

83 citations · 124 across the 13 of their papers we have counts for

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15 papers · 1 filter

cs.CL2022

Strictly Breadth-First AMR Parsing

Chen Yu, Daniel Gildea

AMR parsing is the task that maps a sentence to an AMR semantic graph automatically. We focus on the breadth-first strategy of this task, which was proposed recently and achieved b…

cs.CL2021

Latent Tree Decomposition Parsers for AMR-to-Text Generation

Lisa Jin, Daniel Gildea

Graph encoders in AMR-to-text generation models often rely on neighborhood convolutions or global vertex attention. While these approaches apply to general graphs, AMRs may be amen…

cs.CL2021

Tree Decomposition Attention for AMR-to-Text Generation

Lisa Jin, Daniel Gildea

Text generation from AMR requires mapping a semantic graph to a string that it annotates. Transformer-based graph encoders, however, poorly capture vertex dependencies that may ben…

cs.CL2020

Tensors over Semirings for Latent-Variable Weighted Logic Programs

Esma Balkir, Daniel Gildea, Shay Cohen

Semiring parsing is an elegant framework for describing parsers by using semiring weighted logic programs. In this paper we present a generalization of this concept: latent-variabl…

cs.CL20203 cited

Unsupervised Bilingual Lexicon Induction Across Writing Systems

Parker Riley, Daniel Gildea

Recent embedding-based methods in unsupervised bilingual lexicon induction have shown good results, but generally have not leveraged orthographic (spelling) information, which can…

cs.CL20196 cited

Leveraging Dependency Forest for Neural Medical Relation Extraction

Linfeng Song, Yue Zhang, Daniel Gildea +3

Medical relation extraction discovers relations between entity mentions in text, such as research articles. For this task, dependency syntax has been recognized as a crucial source…