: NLP Vocabulary: reformulation

applied NLP > reformulation

reformulation

The automatic process of rephrasing or rewriting a piece of text while retaining its essential meaning, often employed for various purposes, including text summarization, question-answering systems, machine translation, and other applications where generating alternative expressions or conveying information in a different linguistic form is beneficial.

In this set-up we want to investigate whether installments and reformulations help to avoid semantic inadequacies and improve referential success i.e. whether a dynamic approach to REG compares favourably to the non-dynamic version of our system (see Section 3). (Zarrieß & Schlangen, 2016)
To make AMR graphs better suit the EAE task and ensure the reformulation is lossless we provide a series of modifications for AMR graphs resulting in a compact and informative graph named Tailored AMR Graph (TAG) (Sec-2.2). (Yang, Guo, Hu, Zhang, Qiu & Zhang, 2023)

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