Papers › TRANX: A Transition-based Neural Abstract Syntax Parser for Semantic Parsing and Code...
TRANX: A Transition-based Neural Abstract Syntax Parser for Semantic Parsing and Code Generation
Pengcheng Yin, Graham Neubig
We present TRANX, a transition-based neural semantic parser that maps natural language (NL) utterances into formal meaning representations (MRs). TRANX uses a transition system based on the abstract syntax description language for the target MR, which gives it two major advantages: (1) it is highly accurate, using information from the syntax of the target MR to constrain the output space and model the information flow, and (2) it is highly generalizable, and can easily be applied to new types of MR by just writing a new abstract syntax description corresponding to the allowable structures in the MR. Experiments on four different semantic parsing and code generation tasks show that our system is generalizable, extensible, and effective, registering strong results compared to existing neural semantic parsers.
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Code
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Code Syntology ran Syntology
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Tasks
Results from the paper archive 2025-07-28
| Task | Dataset | Model | Metric | Value | Rank at snapshot | Leaderboard | Report |
|---|---|---|---|---|---|---|---|
| Code Generation | CoNaLa | TranX | BLEU | 24.30 | #14 of 14 | Archive leaderboard | report |
| Code Generation | CoNaLa-Ext | TranX | BLEU | 18.85 | #6 of 6 | Archive leaderboard | report |
| Code Generation | Django | Tranx | Accuracy | 73.7 | #8 of 11 | Archive leaderboard | report |
| Code Generation | WikiSQL | Tranx | Exact Match Accuracy | 68.6 | #3 of 10 | Archive leaderboard | report |
| Code Generation | WikiSQL | Tranx | Execution Accuracy | 78.6 | #3 of 10 | Archive leaderboard | report |
| Semantic Parsing | ATIS | Tranx | Accuracy | 86.2 | #2 of 4 | Archive leaderboard | report |
| Semantic Parsing | Geo | Tranx | Accuracy | 87.7 | #3 of 3 | Archive leaderboard | report |
Ranks are positions in the archive's leaderboards as they stood at the 2025-07-28 snapshot. Results published since then are not among these rows, so a rank here is not a current standing.
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