Sentence Compression
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Benchmarks
Google Dataset
Most implemented
Unsupervised Abstractive Meeting Summarization with Multi-Sentence Compression and Budgeted Submodular Maximization
Keyphrase Extraction for N-best Reranking in Multi-Sentence Compression
Improving Factual Consistency in Summarization with Compression-Based Post-Editing
Unsupervised Abstractive Dialogue Summarization with Word Graphs and POV Conversion
Efficient Unsupervised Sentence Compression by Fine-tuning Transformers with Reinforcement Learning
A Novel Metric for Evaluating Semantics Preservation
Papers
Tiny Transformers Excel at Sentence Compression
It is staggering that words of the English language, which are on average represented by 5--6 bytes of ASCII, require as much as 24 kilobytes when served to large language models. We show that there is room for more info…
SentenceSentence CompressionvalidTarget-Aware Language Modeling via Granular Data Sampling
Language model pretraining generally targets a broad range of use cases and incorporates data from diverse sources. However, there are instances where we desire a model that excels in specific areas without markedly comp…
Language ModelingLanguage ModellingSentenceSentence CompressionInstructCMP: Length Control in Sentence Compression through Instruction-based Large Language Models
Extractive summarization can produce faithful summaries but often requires additional constraints such as a desired summary length. Traditional sentence compression models do not typically consider the constraints becaus…
Extractive SummarizationSentenceSentence CompressionAutoBreach: Universal and Adaptive Jailbreaking with Efficient Wordplay-Guided Optimization
Despite the widespread application of large language models (LLMs) across various tasks, recent studies indicate that they are susceptible to jailbreak attacks, which can render their defense mechanisms ineffective. Howe…
SentenceSentence CompressionFrom Lengthy to Lucid: A Systematic Literature Review on NLP Techniques for Taming Long Sentences
Long sentences have been a persistent issue in written communication for many years since they make it challenging for readers to grasp the main points or follow the initial intention of the writer. This survey, conducte…
SentenceSentence CompressionSurveySystematic Literature ReviewReconstruct Before Summarize: An Efficient Two-Step Framework for Condensing and Summarizing Meeting Transcripts
Meetings typically involve multiple participants and lengthy conversations, resulting in redundant and trivial content. To overcome these challenges, we propose a two-step framework, Reconstruct before Summarize (RbS), f…
Language ModellingMeeting SummarizationSentence Compression