← Applications
Natural Language Processing › Applications ›

Summarization

873 directly classified papers

Papers per year

Papers

BanditSum: Extractive Summarization as a Contextual Bandit EMNLP 2018
Macquarie University at BioASQ 6b: Deep learning and deep reinforcement learning for query-based summarisation EMNLP 2018
Generating Syntactic Paraphrases EMNLP 2018
Jointly Localizing and Describing Events for Dense Video Captioning CVPR 2018
Entity Commonsense Representation for Neural Abstractive Summarization NAACL 2018
Newsroom: A Dataset of 1.3 Million Summaries with Diverse Extractive Strategies NAACL 2018
Neural Latent Extractive Document Summarization EMNLP 2018
Estimating Summary Quality with Pairwise Preferences NAACL 2018
Integrating Multiple NLP Technologies into an Open-source Platform for Multilingual Media Monitoring ACL 2018
Controllable Abstractive Summarization ACL 2018
Autoencoder as Assistant Supervisor: Improving Text Representation for Chinese Social Media Text Summarization ACL 2018
Automated essay scoring with string kernels and word embeddings ACL 2018
Document Modeling with External Attention for Sentence Extraction ACL 2018
Soft Layer-Specific Multi-Task Summarization with Entailment and Question Generation ACL 2018
Fast Abstractive Summarization with Reinforce-Selected Sentence Rewriting ACL 2018
The SUMMA Platform: A Scalable Infrastructure for Multi-lingual Multi-media Monitoring ACL 2018
Towards Opinion Summarization of Customer Reviews ACL 2018
Automatic Article Commenting: the Task and Dataset ACL 2018
The price of debiasing automatic metrics in natural language evalaution ACL 2018
A Unified Model for Extractive and Abstractive Summarization using Inconsistency Loss ACL 2018
BLEU is Not Suitable for the Evaluation of Text Simplification EMNLP 2018
Neural Document Summarization by Jointly Learning to Score and Select Sentences ACL 2018
Learning To Split and Rephrase From Wikipedia Edit History EMNLP 2018
Facts That Matter EMNLP 2018
Extraction Meets Abstraction: Ideal Answer Generation for Biomedical Questions EMNLP 2018