Summarizing News Articles Using Question-and-Answer Pairs via Learning
- 17 October 2019
- book chapter
- conference paper
- Published by Springer Science and Business Media LLC
Abstract
No abstract availableKeywords
This publication has 19 references indexed in Scilit:
- Survey on challenges of Question Answering in the Semantic WebSemantic Web, 2017
- Reading Wikipedia to Answer Open-Domain QuestionsPublished by Association for Computational Linguistics (ACL) ,2017
- Identifying Where to Focus in Reading Comprehension for Neural Question GenerationPublished by Association for Computational Linguistics (ACL) ,2017
- A Language-Independent Neural Network for Event DetectionPublished by Association for Computational Linguistics (ACL) ,2016
- Incorporating Copying Mechanism in Sequence-to-Sequence LearningPublished by Association for Computational Linguistics (ACL) ,2016
- Leveraging Linguistic Structure For Open Domain Information ExtractionPublished by Association for Computational Linguistics (ACL) ,2015
- A survey on question answering technology from an information retrieval perspectiveInformation Sciences, 2011
- LexRank: Graph-based Lexical Centrality as Salience in Text SummarizationJournal of Artificial Intelligence Research, 2004
- Optimizing search engines using clickthrough dataPublished by Association for Computing Machinery (ACM) ,2002
- Centroid-based summarization of multiple documentsPublished by Association for Computational Linguistics (ACL) ,2000