Semantic Parsing

[TOC] Title: Guided K-best Selection for Semantic Parsing Annotation Author: Anton Belyy et. al. Publish Year: 2021 Review Date: Feb 2022 Summary of paper Motivation They wanted to tackle the challenge of efficient data collection (data annotation) for the conversational semantic parsing task. In the presence of little available training data, they proposed human-in-the-loop interfaces for guided K-best selection, using a prototype model trained on limited data. Result Their user studies showed that the keyword searching function combined with a keyword suggestion method strikes the balance between annotation accuracy and speed...

[TOC] Title: Grammar-Based Grounded Lexicon Learning Author: Jiayuan Mao Publish Year: 2021 NeurIPS Review Date: Dec 2021 Summary of paper The paper extend the previous work “Neuro-Symbolic Concept Learner” by parsing the natural language questions using symbolic manner. The core semantic parsing technique is Combinatory Categorical Grammar with CKY algorithm to prune unlikely expressions. The full picture looks like this The detailed algorithm process looks like this How to derive concept embedding...