Search Results for author: David Heineman

Found 3 papers, 2 papers with code

Thresh: A Unified, Customizable and Deployable Platform for Fine-Grained Text Evaluation

1 code implementation14 Aug 2023 David Heineman, Yao Dou, Wei Xu

Additionally, we introduce a Python library to streamline the entire process from typology design and deployment to annotation processing.

Machine Translation Multi-Task Learning +1

Dancing Between Success and Failure: Edit-level Simplification Evaluation using SALSA

no code implementations23 May 2023 David Heineman, Yao Dou, Mounica Maddela, Wei Xu

Large language models (e. g., GPT-4) are uniquely capable of producing highly rated text simplification, yet current human evaluation methods fail to provide a clear understanding of systems' specific strengths and weaknesses.

Sentence Text Simplification

LENS: A Learnable Evaluation Metric for Text Simplification

1 code implementation19 Dec 2022 Mounica Maddela, Yao Dou, David Heineman, Wei Xu

Training learnable metrics using modern language models has recently emerged as a promising method for the automatic evaluation of machine translation.

Machine Translation Text Simplification

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