Zi Lin

Comparing Knowledge-Intensive and Data-Intensive Models for English Resource Semantic Parsing

2021 · Computational Linguistics

Abstract In this work, we present a phenomenon-oriented comparative analysis of the two dominant approaches in English Resource Semantic (ERS) parsing: classic, knowledge-intensive and neural, data-intensive models. To reflect state-of-the-art neural NLP technologies, a factorization-based …