Penman: An Open-Source Library and Tool for AMR Graphs
Michael Wayne Goodman
System Demonstrations Demo Paper
Demo Session 1C-3: Jul 8
(06:30-07:30 GMT)
Demo Session 3C-3: Jul 8
(13:30-14:30 GMT)
Abstract:
Abstract Meaning Representation (AMR) (Banarescu et al., 2013) is a framework for semantic dependencies that encodes its rooted and directed acyclic graphs in a format called PENMAN notation. The format is simple enough that users of AMR data often write small scripts or libraries for parsing it into an internal graph representation, but there is enough complexity that these users could benefit from a more sophisticated and well-tested solution. The open-source Python library Penman provides a robust parser, functions for graph inspection and manipulation, and functions for formatting graphs into PENMAN notation. Many functions are also available in a command-line tool, thus extending its utility to non-Python setups.
You can open the
pre-recorded video
in a separate window.
NOTE: The SlidesLive video may display a random order of the authors.
The correct author list is shown at the top of this webpage.
Similar Papers
Line Graph Enhanced AMR-to-Text Generation with Mix-Order Graph Attention Networks
Yanbin Zhao, Lu Chen, Zhi Chen, Ruisheng Cao, Su Zhu, Kai Yu,

GPT-too: A Language-Model-First Approach for AMR-to-Text Generation
Manuel Mager, Ramón Fernandez Astudillo, Tahira Naseem, Md Arafat Sultan, Young-Suk Lee, Radu Florian, Salim Roukos,
