Unsupervised Extractive Summarization
3개 벤치마크 · 논문 30편 · 이 태스크의 논문 보기 →
Benchmarks
Most implemented
A Discourse-Aware Attention Model for Abstractive Summarization of Long Documents
Unsupervised Extractive Dialogue Summarization in Hyperdimensional Space
Bringing Structure into Summaries: a Faceted Summarization Dataset for Long Scientific Documents
Bipartite Graph Pre-training for Unsupervised Extractive Summarization with Graph Convolutional Auto-Encoders
Unsupervised Extractive Summarization of Emotion Triggers
Papers
Unsupervised Extractive Dialogue Summarization in Hyperdimensional Space
We present HyperSum, an extractive summarization framework that captures both the efficiency of traditional lexical summarization and the accuracy of contemporary neural approaches. HyperSum exploits the pseudo-orthogona…
ClusteringExtractive SummarizationSentenceSentence Embeddings+1Unsupervised Extractive Summarization with Learnable Length Control Strategies
Unsupervised extractive summarization is an important technique in information extraction and retrieval. Compared with supervised method, it does not require high-quality human-labelled summaries for training and thus ca…
Extractive SummarizationSentenceUnsupervised Extractive SummarizationBipartite Graph Pre-training for Unsupervised Extractive Summarization with Graph Convolutional Auto-Encoders
Pre-trained sentence representations are crucial for identifying significant sentences in unsupervised document extractive summarization. However, the traditional two-step paradigm of pre-training and sentence-ranking, c…
Extractive SummarizationSentenceSentence EmbeddingsUnsupervised Extractive SummarizationUnsupervised Extractive Summarization of Emotion Triggers
Understanding what leads to emotions during large-scale crises is important as it can provide groundings for expressed emotions and subsequently improve the understanding of ongoing disasters. Recent approaches trained s…
Abstractive Text SummarizationExtractive SummarizationUnsupervised Extractive SummarizationXWikiGen: Cross-lingual Summarization for Encyclopedic Text Generation in Low Resource Languages
Lack of encyclopedic text contributors, especially on Wikipedia, makes automated text generation for low resource (LR) languages a critical problem. Existing work on Wikipedia text generation has focused on English only …
ArticlesCross-Lingual Abstractive SummarizationDocument SummarizationExtractive Summarization+3Improving Sentence Similarity Estimation for Unsupervised Extractive Summarization
Unsupervised extractive summarization aims to extract salient sentences from a document as the summary without labeled data. Recent literatures mostly research how to leverage sentence similarity to rank sentences in the…
Contrastive LearningExtractive SummarizationSentenceSentence Similarity+1