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Summarization

1599 directly classified papers

Papers per year

Papers

Abstract Text Summarization: A Low Resource Challenge EMNLP 2019
Pretraining-Based Natural Language Generation for Text Summarization CONLL 2019
In Conclusion Not Repetition: Comprehensive Abstractive Summarization with Diversified Attention Based on Determinantal Point Processes CONLL 2019
Unified Language Model Pre-training for Natural Language Understanding and Generation NIPS 2019
Guiding Extractive Summarization with Question-Answering Rewards NAACL 2019
Facts That Matter EMNLP 2018
A Reinforced Topic-Aware Convolutional Sequence-to-Sequence Model for Abstractive Text Summarization IJCAI 2018
A Hierarchical End-to-End Model for Jointly Improving Text Summarization and Sentiment Classification IJCAI 2018
Guided Neural Language Generation for Abstractive Summarization using Abstract Meaning Representation EMNLP 2018
Evaluating Multiple System Summary Lengths: A Case Study EMNLP 2018
Abstractive Text-Image Summarization Using Multi-Modal Attentional Hierarchical RNN EMNLP 2018
Ontology-Based Retrieval & Neural Approaches for BioASQ Ideal Answer Generation EMNLP 2018
Iterative Document Representation Learning Towards Summarization with Polishing EMNLP 2018
Effective Crowdsourcing for a New Type of Summarization Task NAACL 2018
A Graph-theoretic Summary Evaluation for ROUGE EMNLP 2018
Learning to Summarize Radiology Findings EMNLP 2018
UNCC QA: Biomedical Question Answering system EMNLP 2018
Closed-Book Training to Improve Summarization Encoder Memory EMNLP 2018
Controllable Abstractive Summarization ACL 2018
Selecting NLP Techniques to Evaluate Learning Design Objectives in Collaborative Multi-perspective Elaboration Activities ACL 2018
Bottom-Up Abstractive Summarization EMNLP 2018
Controlling Length in Abstractive Summarization Using a Convolutional Neural Network EMNLP 2018
APRIL: Interactively Learning to Summarise by Combining Active Preference Learning and Reinforcement Learning EMNLP 2018
Extraction Meets Abstraction: Ideal Answer Generation for Biomedical Questions EMNLP 2018
BLEU is Not Suitable for the Evaluation of Text Simplification EMNLP 2018