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SCAN and COGS
Two semantic parsing tasks, SCAN and COGS, involving natural language -
Learning an Executable Neural Semantic Parser
This paper describes a neural semantic parser that maps natural language utterances onto logical forms which can be executed against a task-specific environment, such as a... -
Towards Zero-Shot Frame Semantic Parsing with Task Agnostic Ontologies and Si...
A framework that allows for easy creation of new domains from a handful of simple labels that can be generated without specific NLP knowledge. -
CraftAssist Instruction Parsing (CAIP) dataset
A large scale semantic parsing dataset focused on instruction-driven communication with an agent in Minecraft. -
Improving Generalization in Language Model-Based Text-to-SQL
Two simple semantic boundary-based techniques to improve the generalization of language model-based text-to-SQL -
Learning to parse database queries using inductive logic programming
Learning to parse database queries using inductive logic programming. -
On The Ingredients of an Effective Zero-shot Semantic Parser
Semantic parsers map natural language utterances into meaning representations (e.g. programs). Such models are typically bottle-necked by the paucity of training data due to the... -
NL2BASH: A corpus and semantic parser for natural language interface to the L...
The NL2BASH dataset is a corpus and semantic parser for natural language interface to the Linux operating system. -
Parallel Meaning Bank
A semantically annotated parallel corpus for English, German, Italian, and Dutch where sentences are aligned with scoped meaning representations in order to capture the... -
WikiTableQuestions
Semantic parsing maps a user-issued natural language (NL) utterance to a machine-executable meaning representation (MR), such as λ−calculus (Zettlemoyer and Collins, 2005), SQL...
