Semantic Parsing
Semantic Parsing is the task of transducing natural language utterances into formal meaning representations. The target meaning representations can be defined according to a wide variety of formalisms. This include linguistically-motivated semantic representations that are designed to capture the meaning of any sentence such as λ-calculus or the abstract meaning representations. Alternatively, for more task-driven approaches to Semantic Parsing, it is common for meaning representations to represent executable programs such as SQL queries, robotic commands, smart phone instructions, and even general-purpose programming languages like Python and Java.
Source: Tranx: A Transition-based Neural Abstract Syntax Parser for Semantic Parsing and Code Generation
Papers
Showing 1–10 of 1202 papers
Benchmark Results
| # | Model | Metric | Claimed | Verified | Status |
|---|---|---|---|---|---|
| 1 | Dynamic Least-to-Most Prompting | Exact Match | 95 | — | Unverified |
| 2 | LeAR | Exact Match | 90.9 | — | Unverified |
| 3 | T5-3B w/ Intermediate Representations | Exact Match | 83.8 | — | Unverified |
| 4 | Hierarchical Poset Decoding | Exact Match | 69 | — | Unverified |
| 5 | Universal Transformer | Exact Match | 18.9 | — | Unverified |