Empirical Sufficiency Lower Bounds for Language Modeling with Locally-Bootstrapped Semantic Structures

1. 1Design a concise binary vector representation of semantic structure at the lexical level
2. 2Evaluate the performance of an incremental tagger in achieving better-than-baseline results
3. 3Establish empirical lower bounds on the tagger's performance to determine the minimum requirements for successful language modeling

NLP researchers and AI engineers working on language modeling tasks can benefit from understanding the limitations of using predicted semantic structures, and how to improve model performance

💡 Establishing empirical lower bounds can help determine the minimum requirements for successful language modeling with predicted semantic structures

📊 New research sets empirical lower bounds for language modeling with locally-bootstrapped semantic structures