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Summarization

873 directly classified papers

Papers per year

Papers

A Closer Look at Data Bias in Neural Extractive Summarization Models EMNLP 2019
Group, Extract and Aggregate: Summarizing a Large Amount of Finance News for Forex Movement Prediction EMNLP 2019
Towards Actual (Not Operational) Textual Style Transfer Auto-Evaluation EMNLP 2019
Findings of the Third Workshop on Neural Generation and Translation EMNLP 2019
Concept Pointer Network for Abstractive Summarization EMNLP 2019
Contrastive Attention Mechanism for Abstractive Sentence Summarization EMNLP 2019
Reading Like HER: Human Reading Inspired Extractive Summarization EMNLP 2019
Attribute-aware Sequence Network for Review Summarization EMNLP 2019
The Feasibility of Embedding Based Automatic Evaluation for Single Document Summarization EMNLP 2019
Context-Aware Monolingual Repair for Neural Machine Translation EMNLP 2019
Attention Optimization for Abstractive Document Summarization EMNLP 2019
REO-Relevance, Extraness, Omission: A Fine-grained Evaluation for Image Captioning EMNLP 2019
NCLS: Neural Cross-Lingual Summarization EMNLP 2019
Better Rewards Yield Better Summaries: Learning to Summarise Without References EMNLP 2019
Subtopic-driven Multi-Document Summarization EMNLP 2019
Answers Unite! Unsupervised Metrics for Reinforced Summarization Models EMNLP 2019
An Entity-Driven Framework for Abstractive Summarization EMNLP 2019
Earlier Isn’t Always Better: Sub-aspect Analysis on Corpus and System Biases in Summarization EMNLP 2019
Summary Cloze: A New Task for Content Selection in Topic-Focused Summarization EMNLP 2019
Text Summarization with Pretrained Encoders EMNLP 2019
How to Write Summaries with Patterns? Learning towards Abstractive Summarization through Prototype Editing EMNLP 2019
BottleSum: Unsupervised and Self-supervised Sentence Summarization using the Information Bottleneck Principle EMNLP 2019
Abstract Text Summarization: A Low Resource Challenge EMNLP 2019
Countering the Effects of Lead Bias in News Summarization via Multi-Stage Training and Auxiliary Losses EMNLP 2019
Deep Reinforcement Learning with Distributional Semantic Rewards for Abstractive Summarization EMNLP 2019