Papers with edit operation
GRS: Combining Generation and Revision in Unsupervised Sentence Simplification (2022.findings-acl)
Copied to clipboard
| Challenge: | Existing methods for sentence simplification are supervised or unsupervised . paraphrasing captures complex edit operations, while revision-based methods provide more control and interpretability. |
| Approach: | They propose an unsupervised approach to sentence simplification that combines text generation and text revision. |
| Outcome: | The proposed method improves on the Newsela and ASSET datasets. |
Automatic Decomposition of Text Editing Examples into Primitive Edit Operations: Toward Analytic Evaluation of Editing Systems (2024.lrec-main)
Copied to clipboard
| Challenge: | Existing methods to automate text editing tasks are blackboxed and do not understand the behavior of the systems. |
| Approach: | They propose a task of automatic decomposition of text editing examples into primitive edit operations by using a phrase aligner and a large language model. |
| Outcome: | The proposed method perfectly decomposes 44% and 64% of editing examples . Detailed analyses also provide insights into the difficulties of this task . |
Seq2Edits: Sequence Transduction Using Span-level Edit Operations (2020.emnlp-main)
Copied to clipboard
| Challenge: | Seq2Edits is an open-vocabulary approach to sequence editing for natural language processing tasks with a high degree of overlap between input and output texts. |
| Approach: | They propose an open-vocabulary approach to sequence editing for NLP tasks with a high degree of overlap between input and output texts. |
| Outcome: | The proposed approach speeds up inference by up to 5.2x compared to full sequence models . it improves explainability by associating each edit operation with a human-readable tag. |
Edit-Constrained Decoding for Sentence Simplification (2024.findings-emnlp)
Copied to clipboard
| Challenge: | Existing studies have shown that lexically constrained decoding is effective for sentence simplification, but their constraints can be loose and may lead to sub-optimal generation. |
| Approach: | They propose an edit operation based on lexically constrained decoding for sentence simplification using a dictionary of technical terms as constraints. |
| Outcome: | The proposed method outperforms previous studies on English simplification corpora and is based on lexical paraphrasing. |