Abstract Meaning Representations
Related Papers
Aligning English Strings with Abstract Meaning Representation Graphs
Meaning Representation Graphs Nima Pourdamghani, Yang Gao, Ulf Hermjakob, Kevin Knight Information Sciences Institute Department of Computer Science University of Southern California {damghani,yanggao,ulf,knight}@isi.edu Abstract We align pairs of English sentences …...
Evaluating Scoped Meaning Representations
Semantic parsing offers many opportunities to improve natural language understanding. We present a semantically annotated parallel corpus for English, German, Italian, and Dutch where sentences are aligned with scoped meaning …...
AMR Parsing with Latent Structural Information
AbstractAbstract Meaning Representations (AMRs) capture sentence-level semantics structural representations to broad-coverage natural sentences. We investigate parsing AMR with explicit dependency structures and interpretable latent structures. We generate the latent soft …...
AMR Quality Rating with a Lightweight CNN
AbstractStructured semantic sentence representations such as Abstract Meaning Representations (AMRs) are potentially useful in various NLP tasks. However, the quality of automatic parses can vary greatly and jeopardizes their usefulness. …...
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AbstractAbstract Meaning Representations (AMRs) are broad-coverage sentence-level semantic graphs. Existing approaches to generating text from AMR have focused on training sequence-to-sequence or graph-to-sequence models on AMR annotated data only. In …...