论文标题

修订的简洁:限制的释义生成任务

Revision for Concision: A Constrained Paraphrase Generation Task

论文作者

Mu, Wenchuan, Lim, Kwan Hui

论文摘要

学术写作应该简洁,因为简洁的句子更好地使读者的关注并清楚地传达了意义。简洁的写作是具有挑战性的,因为作家经常努力修改他们的草稿。我们在句子级别介绍并制定修订作为自然语言处理任务的修订。修改简洁需要算法仅使用必要的单词来重写句子,同时保留其含义。修订后的句子应根据其单词选择,句子结构和组织进行评估。修订后的句子还需要实现语义保留和句法健全性。为了帮助这些努力,我们策划并提供了一个基准的并行数据集,可以描绘修订以进行简洁。该数据集在修订之前和之后包含536对句子,所有对都是从大学写作中心收集的。我们还提出并评估了该问题的方法,这可能会帮助该领域的研究人员。

Academic writing should be concise as concise sentences better keep the readers' attention and convey meaning clearly. Writing concisely is challenging, for writers often struggle to revise their drafts. We introduce and formulate revising for concision as a natural language processing task at the sentence level. Revising for concision requires algorithms to use only necessary words to rewrite a sentence while preserving its meaning. The revised sentence should be evaluated according to its word choice, sentence structure, and organization. The revised sentence also needs to fulfil semantic retention and syntactic soundness. To aide these efforts, we curate and make available a benchmark parallel dataset that can depict revising for concision. The dataset contains 536 pairs of sentences before and after revising, and all pairs are collected from college writing centres. We also present and evaluate the approaches to this problem, which may assist researchers in this area.

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