Exploiting Language Variants Via Grammar Parsing Having Morphologically Rich Information

Grammar Induction with Neural Language Models: An Unusual Replication

A substantial thread of recent work on latent tree learning has attempted to develop neural network models with parse-valued latent variables and train them on non-parsing tasks, in the hope of having them discover inter…

Exploiting Frame-Semantics and Frame-Semantic Parsing for Automatic Extraction of Typological Information from Descriptive Grammars of Natural Languages

We describe a novel system for automatic extraction of typological linguistic information from descriptive grammars of natural languages, applying the theory of frame semantics in the form of frame-semantic parsing. The …

Exploiting Multiple Treebanks for Parsing with Quasi-synchronous Grammars

BenchCLAMP: A Benchmark for Evaluating Language Models on Syntactic and Semantic Parsing

Recent work has shown that generation from a prompted or fine-tuned language model can perform well at semantic parsing when the output is constrained to be a valid semantic representation. We introduce BenchCLAMP, a Ben…

Exact yet Efficient Graph Parsing, Bi-directional Locality and the Constructivist Hypothesis

A key problem in processing graph-based meaning representations is graph parsing, i.e. computing all possible derivations of a given graph according to a (competence) grammar. We demonstrate, for the first time, that exa…