activity
20152022
most citedMaking Neural Programming Architectures Generalize via Recursion

95 citations · 251 across the 12 of their papers we have counts for

collaborators
Showing cs.CLShow all

5 papers · 1 filter

cs.CL2022

Privacy-Preserving Domain Adaptation of Semantic Parsers

Fatemehsadat Mireshghallah, Yu Su, Tatsunori Hashimoto +2

Task-oriented dialogue systems often assist users with personal or confidential matters. For this reason, the developers of such a system are generally prohibited from observing ac…

cs.CL2022★ 1 cited

Addressing Resource and Privacy Constraints in Semantic Parsing Through Data Augmentation

Kevin Yang, Olivia Deng, Charles Chen +3

We introduce a novel setup for low-resource task-oriented semantic parsing which incorporates several constraints that may arise in real-world scenarios: (1) lack of similar datase…

cs.CL2021

Few-Shot Semantic Parsing with Language Models Trained On Code

Richard Shin, Benjamin Van Durme

Large language models can perform semantic parsing with little training data, when prompted with in-context examples. It has been shown that this can be improved by formulating the…

cs.CL2021★ 2 cited

Constrained Language Models Yield Few-Shot Semantic Parsers

Richard Shin, Christopher H. Lin, Sam Thomson +7

We explore the use of large pretrained language models as few-shot semantic parsers. The goal in semantic parsing is to generate a structured meaning representation given a natural…

cs.CL2019★ 73 cited

RAT-SQL: Relation-Aware Schema Encoding and Linking for Text-to-SQL Parsers

Bailin Wang, Richard Shin, Xiaodong Liu +2

When translating natural language questions into SQL queries to answer questions from a database, contemporary semantic parsing models struggle to generalize to unseen database sch…