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 | ReaRev | Accuracy | 76.4 | — | Unverified |
| 2 | NSM+h | Accuracy | 74.3 | — | Unverified |
| 3 | CBR-KBQA | Accuracy | 70 | — | Unverified |
| 4 | STAGG (Yih et al., 2016) | Accuracy | 63.9 | — | Unverified |
| 5 | T5-11B (Raffel et al., 2020) | Accuracy | 56.5 | — | Unverified |