Sentence Summarization
19 papers with code • 0 benchmarks • 0 datasets
Generating a summary of a given sentence.
Benchmarks
These leaderboards are used to track progress in Sentence Summarization
Latest papers
Generating Multiple-Length Summaries via Reinforcement Learning for Unsupervised Sentence Summarization
We formulate the unsupervised summarization based on the Markov decision process with rewards representing the summary quality.
Learning Non-Autoregressive Models from Search for Unsupervised Sentence Summarization
Text summarization aims to generate a short summary for an input text.
A Character-Level Length-Control Algorithm for Non-Autoregressive Sentence Summarization
Sentence summarization aims at compressing a long sentence into a short one that keeps the main gist, and has extensive real-world applications such as headline generation.
CoNFET: An English Sentence to Emojis Translation Algorithm
Currently, there are over 3, 000 emojis in the Unicode standard.
Controllable Abstractive Sentence Summarization with Guiding Entities
Entities are the major proportion and build up the topic of text summaries.
Discrete 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.
All Word Embeddings from One Embedding
The proposed method, ALONE (all word embeddings from one), constructs the embedding of a word by modifying the shared embedding with a filter vector, which is word-specific but non-trainable.
Contrastive Attention Mechanism for Abstractive Sentence Summarization
We propose a contrastive attention mechanism to extend the sequence-to-sequence framework for abstractive sentence summarization task, which aims to generate a brief summary of a given source sentence.
Simple Unsupervised Summarization by Contextual Matching
We propose an unsupervised method for sentence summarization using only language modeling.
Zero-Shot Cross-Lingual Abstractive Sentence Summarization through Teaching Generation and Attention
But there is no cross-lingual parallel corpus, whose source sentence language is different to the summary language, to directly train a cross-lingual ASSUM system.