Name
Title | ||
|---|---|---|
The Meaning Factory at SemEval-2017 Task 9: Producing AMRs with Neural Semantic Parsing. |
Abstract | ||
|---|---|---|
We evaluate a semantic parser based on a character-based sequence-to-sequence model in the context of the SemEval-2017 shared task on semantic parsing for AMRs. With data augmentation, super characters, and POS-tagging we gain major improvements in performance compared to a baseline character-level model. Although we improve on previous character-based neural semantic parsing models, the overall accuracy is still lower than a state-of-the-art AMR parser. An ensemble combining our neural semantic parser with an existing, traditional parser, yields a small gain in performance. |
Year | Venue | DocType |
|---|---|---|
2017 | SemEval@ACL | Conference |
Volume | Citations | PageRank |
abs/1704.02156 | 0 | 0.34 |
References | Authors | |
5 | 2 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Rik van Noord | 1 | 16 | 4.73 |
| Johan Bos | 2 | 954 | 89.07 |