AIIC AI Intelligence Centre

SOURCE-LINKED INTELLIGENCE

Scoring Both Directions: LLMs realize the MRS they cannot reliably parse

arXiv · AI, language, vision and robotics · article · Sep 24, 2026 · UTC

The English Resource Grammar (ERG) is a hand-written computational grammar of English. Given a sentence, its processor, ACE, produces a formal meaning representation called Minimal Recursion Semantics (MRS): a graph of the sentence's predicates and their arguments. The grammar is bidirectional and can also turn an MRS back into an English sentence. \citet{hajdik2019} used the ERG's treebank to build a benchmark for that generation task, MRS to text, and trained sequence-to-sequence models to solve it. The parsing task, text to MRS, can be tested on the same sentences. We reconstruct their 10K-

Read original source ↗ Open in workspace

recordType
paper
region
Global

Evidence & attribution

First collected: 2026-09-25T06:12:46.948Z. This is not the publication date.