Papers Unsupervised Sentence Summarization
“Unsupervised Sentence Summarization” 태그가 달린 논문 8편 · 필터 해제
Generating Multiple-Length Summaries via Reinforcement Learning for Unsupervised Sentence Summarization
Sentence summarization shortens given texts while maintaining core contents of the texts. Unsupervised approaches have been studied to summarize texts without human-written summaries. However, recent unsupervised models …
Abstractive Text Summarizationreinforcement-learningReinforcement Learning (RL)Sentence+2Learning Non-Autoregressive Models from Search for Unsupervised Sentence Summarization
Text summarization aims to generate a short summary for an input text. In this work, we propose a Non-Autoregressive Unsupervised Summarization (NAUS) approach, which does not require parallel data for training. Our NAUS…
SentenceSentence SummarizationText SummarizationUnsupervised Sentence SummarizationLearning Non-Autoregressive Models from Search for Unsupervised Sentence Summarization
Text summarization aims to generate a short summary for an input text. In this work, we propose a Non-Autoregressive Unsupervised Summarization (NAUS) approach, which does not require parallel data for training. Our NAUS…
Headline GenerationSentenceSentence SummarizationText Summarization+1Discrete Optimization for Unsupervised Sentence Summarization with Word-Level Extraction
Automatic sentence summarization produces a shorter version of a sentence, while preserving its most important information. A good summary is characterized by language fluency and high information overlap with the source…
Language ModelingLanguage ModellingSemantic SimilaritySemantic Textual Similarity+3BottleSum: Unsupervised and Self-supervised Sentence Summarization using the Information Bottleneck Principle
The principle of the Information Bottleneck (Tishby et al. 1999) is to produce a summary of information X optimized to predict some other relevant information Y. In this paper, we propose a novel approach to unsupervised…
Abstractive Text SummarizationExtractive SummarizationLanguage ModelingLanguage Modelling+4Unsupervised Text Summarization via Mixed Model Back-Translation
Back-translation based approaches have recently lead to significant progress in unsupervised sequence-to-sequence tasks such as machine translation or style transfer. In this work, we extend the paradigm to the problem o…
Machine TranslationSentenceSentence SummarizationStyle Transfer+4Simple Unsupervised Summarization by Contextual Matching
We propose an unsupervised method for sentence summarization using only language modeling. The approach employs two language models, one that is generic (i.e. pretrained), and the other that is specific to the target dom…
Language ModelingLanguage ModellingSentenceSentence Summarization+2Unsupervised Abstractive Sentence Summarization using Length Controlled Variational Autoencoder
In this work we present an unsupervised approach to summarize sentences in abstractive way using Variational Autoencoder (VAE). VAE are known to learn a semantically rich latent variable, representing high dimensional in…
DecoderSentenceSentence SummarizationUnsupervised Sentence Summarization