CLAILGMay 11, 2021

Doing Natural Language Processing in A Natural Way: An NLP toolkit based on object-oriented knowledge base and multi-level grammar base

arXiv:2105.05227v2
Originality Synthesis-oriented
AI Analysis

This toolkit addresses semantic parsing challenges in NLP by enabling continuous improvement through automated discovery and human feedback, though it appears incremental in its approach.

The authors developed an NLP toolkit that uses an object-oriented knowledge base and multi-level grammar base for semantic parsing, with capabilities for automatically discovering new knowledge and grammar that are human-verified and iteratively integrated to improve the system.

We introduce an NLP toolkit based on object-oriented knowledge base and multi-level grammar base. This toolkit focuses on semantic parsing, it also has abilities to discover new knowledge and grammar automatically, new discovered knowledge and grammar will be identified by human, and will be used to update the knowledge base and grammar base. This process can be iterated many times to improve the toolkit continuously.

Code Implementations1 repo
Foundations

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