Search Results for author:
Found 6 papers, 5 papers with code
Pillars of Grammatical Error Correction: Comprehensive Inspection Of Contemporary Approaches In The Era of Large Language Models
In this paper, we carry out experimental research on Grammatical Error Correction, delving into the nuances of single-model systems, comparing the efficiency of ensembling and ranking methods, and exploring the application of large language models to GEC as single-model systems, as parts of ensembles, and as ranking methods.
Gender-Inclusive Grammatical Error Correction through Augmentation
In this paper we show that GEC systems display gender bias related to the use of masculine and feminine terms and the gender-neutral singular "they".
Ensembling and Knowledge Distilling of Large Sequence Taggers for Grammatical Error Correction
Our best ensemble achieves a new SOTA result with an $F_{0. 5}$ score of 76. 05 on BEA-2019 (test), even without pre-training on synthetic datasets.
Ranked #5 on
Grammatical Error Correction
on BEA-2019 (test)
Text Simplification by Tagging
Edit-based approaches have recently shown promising results on multiple monolingual sequence transduction tasks.
Ranked #1 on
Text Simplification
on PWKP / WikiSmall
(SARI metric)
GECToR -- Grammatical Error Correction: Tag, Not Rewrite
In this paper, we present a simple and efficient GEC sequence tagger using a Transformer encoder.
How do you correct run-on sentences it's not as easy as it seems
Run-on sentences are common grammatical mistakes but little research has tackled this problem to date.
