Papers Split and Rephrase
“Split and Rephrase” 태그가 달린 논문 17편 · 필터 해제
WikiSplit++: Easy Data Refinement for Split and Rephrase
The task of Split and Rephrase, which splits a complex sentence into multiple simple sentences with the same meaning, improves readability and enhances the performance of downstream tasks in natural language processing (…
DecoderSentenceSplit and RephraseText GenerationSplit and Rephrase with Large Language Models
The Split and Rephrase (SPRP) task, which consists in splitting complex sentences into a sequence of shorter grammatical sentences, while preserving the original meaning, can facilitate the processing of complex texts fo…
In-Context LearningSplit and RephraseCEScore: Simple and Efficient Confidence Estimation Model for Evaluating Split and Rephrase
The split and rephrase (SR) task aims to divide a long, complex sentence into a set of shorter, simpler sentences that convey the same meaning. This challenging problem in NLP has gained increased attention recently beca…
SentenceSplit and RephraseSequence-to-Sequence Spanish Pre-trained Language Models
In recent years, significant advancements in pre-trained language models have driven the creation of numerous non-English language variants, with a particular emphasis on encoder-only and decoder-only architectures. Whil…
DecoderGenerative Question AnsweringNatural Language UnderstandingQuestion Answering+1Conjunct Resolution in the Face of Verbal Omissions
Verbal omissions are complex syntactic phenomena in VP coordination structures. They occur when verbs and (some of) their arguments are omitted from subsequent clauses after being explicitly stated in an initial clause. …
Missing ElementsSentenceSplit and RephraseSyntactic Complexity Identification, Measurement, and Reduction Through Controlled Syntactic Simplification
Text simplification is one of the domains in Natural Language Processing (NLP) that offers an opportunity to understand the text in a simplified manner for exploration. However, it is always hard to understand and retrie…
Knowledge GraphsSentenceSplit and RephraseText SimplificationBiSECT: Learning to Split and Rephrase Sentences with Bitexts
An important task in NLP applications such as sentence simplification is the ability to take a long, complex sentence and split it into shorter sentences, rephrasing as necessary. We introduce a novel dataset and a new m…
Machine TranslationSentenceSplit and RephraseTranslationSplit-and-Rephrase in a Cross-Lingual Manner: A Complete Pipeline
Split-and-rephrase is a challenging task that promotes the transformation of a given complex input sentence into multiple shorter sentences retaining equivalent meaning. This rewriting approach conceptualizes that shorte…
Language ModelingLanguage ModellingMasked Language ModelingPOS+2Finding Spoiler Bias in Tweets by Zero-shot Learning and Knowledge Distilling from Neural Text Simplification
Automatic detection of critical plot information in reviews of media items poses unique challenges to both social computing and computational linguistics. In this paper we propose to cast the problem of discovering spoil…
Split and RephraseText SimplificationTranslationZero-Shot LearningSmall but Mighty: New Benchmarks for Split and Rephrase
Split and Rephrase is a text simplification task of rewriting a complex sentence into simpler ones. As a relatively new task, it is paramount to ensure the soundness of its evaluation benchmark and metric. We find that t…
SentenceSplit and RephraseText SimplificationFact-aware Sentence Split and Rephrase with Permutation Invariant Training
Sentence Split and Rephrase aims to break down a complex sentence into several simple sentences with its meaning preserved. Previous studies tend to address the issue by seq2seq learning from parallel sentence pairs, whi…
SentenceSplit and RephraseEncode, Tag, Realize: High-Precision Text Editing
We propose LaserTagger - a sequence tagging approach that casts text generation as a text editing task. Target texts are reconstructed from the inputs using three main edit operations: keeping a token, deleting it, and a…
Abstractive Text SummarizationDecoderSentenceSentence Fusion+4Leveraging Pre-trained Checkpoints for Sequence Generation Tasks
Unsupervised pre-training of large neural models has recently revolutionized Natural Language Processing. By warm-starting from the publicly released checkpoints, NLP practitioners have pushed the state-of-the-art on mul…
DecoderMachine TranslationNatural Language UnderstandingSentence+5Learning To Split and Rephrase From Wikipedia Edit History
Split and rephrase is the task of breaking down a sentence into shorter ones that together convey the same meaning. We extract a rich new dataset for this task by mining Wikipedia's edit history: WikiSplit contains one m…
SentenceSplit and RephraseSplit and Rephrase: Better Evaluation and Stronger Baselines
Splitting and rephrasing a complex sentence into several shorter sentences that convey the same meaning is a challenging problem in NLP. We show that while vanilla seq2seq models can reach high scores on the proposed ben…
Machine TranslationMemorizationSentenceSplit and RephraseSplit and Rephrase: Better Evaluation and a Stronger Baseline
Splitting and rephrasing a complex sentence into several shorter sentences that convey the same meaning is a challenging problem in NLP. We show that while vanilla seq2seq models can reach high scores on the proposed ben…
MemorizationSentenceSplit and RephraseSplit and Rephrase
We propose a new sentence simplification task (Split-and-Rephrase) where the aim is to split a complex sentence into a meaning preserving sequence of shorter sentences. Like sentence simplification, splitting-and-rephras…
Machine TranslationSentenceSplit and RephraseTranslation