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Found 6 papers, 3 papers with code
A Side-by-side Comparison of Transformers for English Implicit Discourse Relation Classification
Though discourse parsing can help multiple NLP fields, there has been no wide language model search done on implicit discourse relation classification.
Discourse Parsing
Implicit Discourse Relation Classification
+3
LFTK: Handcrafted Features in Computational Linguistics
We open-source our system for public access to a rich set of pre-implemented handcrafted features.
Prompt-based Learning for Text Readability Assessment
We propose the novel adaptation of a pre-trained seq2seq model for readability assessment.
Traditional Readability Formulas Compared for English
Traditional English readability formulas, or equations, were largely developed in the 20th century.
Pushing on Text Readability Assessment: A Transformer Meets Handcrafted Linguistic Features
We report two essential improvements in readability assessment: 1. three novel features in advanced semantics and 2. the timely evidence that traditional ML models (e. g. Random Forest, using handcrafted features) can combine with transformers (e. g. RoBERTa) to augment model performance.
LXPER Index: a curriculum-specific text readability assessment model for EFL students in Korea
Automatic readability assessment is one of the most important applications of Natural Language Processing (NLP) in education.
