← Back to papers
2017 CONLL CoNLL 2017

Graph-based Neural Multi-Document Summarization

🌉 Interdisciplinary Bridge — Deep Learning and Machine Learning and Natural Language Processing
📈 Trend Setter — Graph Neural Networks
🧭 Keyword Pioneer — graph convolutional network
🐝 Cross-Pollinator — Artificial Intelligence, Computer Science, Computer Vision, Data Science & Analytics, Deep Learning, Interdisciplinary, Knowledge & Reasoning, Machine Learning, Mathematics & Optimization, Natural Language Processing, Reinforcement Learning, Robotics, Speech & Audio
🐣 Hot Topic Early Bird — graph convolutional network

Authors

Michihiro Yasunaga , Rui Zhang , Kshitijh Meelu , Ayush Pareek , Krishnan Srinivasan , Dragomir Radev

Topics

Machine Learning > Core Methods > Representation Learning Deep Learning > Architectures > Graph Neural Networks Natural Language Processing > Generation > Summarization

Keywords

extractive summarization recurrent neural network graph convolutional network multi-document summarization sentence relation graph salience estimation neural summarization
Download PDF

Related papers

Neural Sequence-to-sequence Learning of Internal Word Structure 2017
An Automatic Approach for Document-level Topic Model Evaluation 2017
Robust Coreference Resolution and Entity Linking on Dialogues: Character Identification on TV Show Transcripts 2017
Knowledge Tracing in Sequential Learning of Inflected Vocabulary 2017
A Probabilistic Generative Grammar for Semantic Parsing 2017