Austin Blodgett — accepted AI-conference papers

2022

DocAMR: Multi-Sentence AMR Representation and Evaluation

Tahira Naseem, Austin Blodgett, Sadhana Kumaravel, Tim O’Gorman, Young-Suk Lee, Jeffrey Flanigan +4

NAACL 2022long

Despite extensive research on parsing of English sentences into Abstract Meaning Representation (AMR) graphs, which are compared to gold graphs via the Smatch metric, full-document parsing into a unified graph representation lacks well-defined representation and evaluation. Taking advantage of a sup…

Cited by 9 Source ↗PDF ↗code ↗Scholar ↗

2021

Probabilistic, Structure-Aware Algorithms for Improved Variety, Accuracy, and Coverage of AMR Alignments

Austin Blodgett, Nathan Schneider

ACL 2021long

We present algorithms for aligning components of Abstract Meaning Representation (AMR) graphs to spans in English sentences. We leverage unsupervised learning in combination with heuristics, taking the best of both worlds from previous AMR aligners. Our unsupervised models, however, are more sensiti…

Cited by 20 Source ↗PDF ↗code ↗Scholar ↗