Don’t Give Me the Details, Just the Summary! Topic-Aware Convolutional Neural Networks for Extreme Summarization
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Summary
A novel abstractive model is proposed which is conditioned on the article’s topics and based entirely on convolutional neural networks, outperforming an oracle extractive system and state-of-the-art abstractive approaches when evaluated automatically and by humans.
- Type
- article
- Published
- 2018-08-27
- Cited by
- 2,135
- References
- 42
- Access
- Open access
- OpenAlex
- https://openalex.org/W2888482885
- Semantic Scholar
- https://api.semanticscholar.org/CorpusID:215768182
Keywords
Automatic summarization, Computer science, Oracle, Task (project management), Sentence
References
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- Context dependent recurrent neural network language model
- Discourse Constraints for Document Compression
- Automatic Evaluation of Summaries Using N-gram Co-occurrence Statistics
- Deep Residual Learning for Image Recognition
- Best-Worst Scaling: Theory, Methods and Applications
- Contextual LSTM (CLSTM) models for Large scale NLP tasks
- Neural Summarization by Extracting Sentences and Words
- TopicRNN: A Recurrent Neural Network with Long-Range Semantic Dependency
- A Convolutional Encoder Model for Neural Machine Translation
- Why Neural Translations are the Right Length
- Distraction-Based Neural Networks for Modeling Document
- Get To The Point: Summarization with Pointer-Generator Networks
- Neural Extractive Summarization with Side Information
Cited by
- Guiding Extractive Summarization with Question-Answering Rewards
- Jointly Extracting and Compressing Documents with Summary State Representations
- fairseq: A Fast, Extensible Toolkit for Sequence Modeling
- Scoring Sentence Singletons and Pairs for Abstractive Summarization
- Efficient Adaptation of Pretrained Transformers for Abstractive Summarization
- Multi-News: A Large-Scale Multi-Document Summarization Dataset and Abstractive Hierarchical Model
- Sentence Centrality Revisited for Unsupervised Summarization
- HighRES: Highlight-based Reference-less Evaluation of Summarization
- Generating Summaries with Topic Templates and Structured Convolutional Decoders
- Adversarial Domain Adaptation Using Artificial Titles for Abstractive Title Generation
- STRASS: A Light and Effective Method for Extractive Summarization Based on Sentence Embeddings
- Inducing Document Structure for Aspect-based Summarization
- This Email Could Save Your Life: Introducing the Task of Email Subject Line Generation
- BIGPATENT: A Large-Scale Dataset for Abstractive and Coherent Summarization
- Cooperative Generator-Discriminator Networks for Abstractive Summarization with Narrative Flow
- Abstractive Summarization of Reddit Posts with Multi-level Memory Networks
- Building Legal Case Retrieval Systems with Lexical Matching and Summarization using A Pre-Trained Phrase Scoring Model
- Leveraging Pre-trained Checkpoints for Sequence Generation Tasks
- Neural Text Summarization: A Critical Evaluation
- Neural Machine Translation With Sentence-Level Topic Context
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