Papers Unsupervised Extractive Summarization
“Unsupervised Extractive Summarization” 태그가 달린 논문 30편 · 필터 해제
Hindi History Note Generation with Unsupervised Extractive Summarization
In this work, the task of extractive single document summarization applied to an education setting to generate summaries of chapters from grade 10 Hindi history textbooks is undertaken. Unsupervised approaches to extract…
Document SummarizationExtractive SummarizationUnsupervised Extractive SummarizationIdentifying Implicit Quotes for Unsupervised Extractive Summarization of Conversations
We propose Implicit Quote Extractor, an end-to-end unsupervised extractive neural summarization model for conversational texts. When we reply to posts, quotes are used to highlight important part of texts. We aim to extr…
Extractive SummarizationUnsupervised Extractive SummarizationUnsupervised Extractive Summarization by Pre-training Hierarchical Transformers
Unsupervised extractive document summarization aims to select important sentences from a document without using labeled summaries during training. Existing methods are mostly graph-based with sentences as nodes and edge …
Document SummarizationExtractive Document SummarizationExtractive SummarizationExtractive Text Summarization+2Discourse-Aware Unsupervised Summarization of Long Scientific Documents
We propose an unsupervised graph-based ranking model for extractive summarization of long scientific documents. Our method assumes a two-level hierarchical graph representation of the source document, and exploits asymme…
ArticlesExtractive SummarizationSentenceUnsupervised Extractive SummarizationBottleSum: 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+4Sentence Centrality Revisited for Unsupervised Summarization
Single document summarization has enjoyed renewed interests in recent years thanks to the popularity of neural network models and the availability of large-scale datasets. In this paper we develop an unsupervised approac…
Document SummarizationNews SummarizationRepresentation LearningSentence+1Plain English Summarization of Contracts
Unilateral contracts, such as terms of service, play a substantial role in modern digital life. However, few users read these documents before accepting the terms within, as they are too long and the language too complic…
Extractive SummarizationText SummarizationUnsupervised Extractive SummarizationA Discourse-Aware Attention Model for Abstractive Summarization of Long Documents
Neural abstractive summarization models have led to promising results in summarizing relatively short documents. We propose the first model for abstractive summarization of single, longer-form documents (e.g., research p…
Abstractive Text SummarizationDecoderText SummarizationUnsupervised Extractive SummarizationCombining Graph Degeneracy and Submodularity for Unsupervised Extractive Summarization
We present a fully unsupervised, extractive text summarization system that leverages a submodularity framework introduced by past research. The framework allows summaries to be generated in a greedy way while preserving …
Document SummarizationExtractive SummarizationExtractive Text SummarizationInformation Retrieval+4