83 citations · 124 across the 13 of their papers we have counts for
15 papers · 1 filter
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…
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…
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…
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…
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…
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…