A trainable document summarizer
SIGIR '95 Proceedings of the 18th annual international ACM SIGIR conference on Research and development in information retrieval
The use of MMR, diversity-based reranking for reordering documents and producing summaries
Proceedings of the 21st annual international ACM SIGIR conference on Research and development in information retrieval
Summarizing Similarities and Differences Among Related Documents
Information Retrieval
The use of unlabeled data to improve supervised learning for text summarization
SIGIR '02 Proceedings of the 25th annual international ACM SIGIR conference on Research and development in information retrieval
SIGIR '02 Proceedings of the 25th annual international ACM SIGIR conference on Research and development in information retrieval
Cross-lingual C*ST*RD: English access to Hindi information
ACM Transactions on Asian Language Information Processing (TALIP)
The automated acquisition of topic signatures for text summarization
COLING '00 Proceedings of the 18th conference on Computational linguistics - Volume 1
Centroid-based summarization of multiple documents
Information Processing and Management: an International Journal
Correlating summarization of multi-source news with k-way graph bi-clustering
ACM SIGKDD Explorations Newsletter
From single to multi-document summarization: a prototype system and its evaluation
ACL '02 Proceedings of the 40th Annual Meeting on Association for Computational Linguistics
Automatic evaluation of summaries using N-gram co-occurrence statistics
NAACL '03 Proceedings of the 2003 Conference of the North American Chapter of the Association for Computational Linguistics on Human Language Technology - Volume 1
Topic themes for multi-document summarization
Proceedings of the 28th annual international ACM SIGIR conference on Research and development in information retrieval
Improving multilingual summarization: using redundancy in the input to correct MT errors
HLT '05 Proceedings of the conference on Human Language Technology and Empirical Methods in Natural Language Processing
Multi-document summarization using cluster-based link analysis
Proceedings of the 31st annual international ACM SIGIR conference on Research and development in information retrieval
COLING '08 Proceedings of the 22nd International Conference on Computational Linguistics - Volume 1
Extractive summarization using supervised and semi-supervised learning
COLING '08 Proceedings of the 22nd International Conference on Computational Linguistics - Volume 1
Manifold-ranking based topic-focused multi-document summarization
IJCAI'07 Proceedings of the 20th international joint conference on Artifical intelligence
Generating comparative summaries of contradictory opinions in text
Proceedings of the 18th ACM conference on Information and knowledge management
Comparative document summarization via discriminative sentence selection
Proceedings of the 18th ACM conference on Information and knowledge management
The automatic creation of literature abstracts
IBM Journal of Research and Development
A hybrid hierarchical model for multi-document summarization
ACL '10 Proceedings of the 48th Annual Meeting of the Association for Computational Linguistics
Cross-language document summarization based on machine translation quality prediction
ACL '10 Proceedings of the 48th Annual Meeting of the Association for Computational Linguistics
A new approach to improving multilingual summarization using a genetic algorithm
ACL '10 Proceedings of the 48th Annual Meeting of the Association for Computational Linguistics
Summarizing contrastive viewpoints in opinionated text
EMNLP '10 Proceedings of the 2010 Conference on Empirical Methods in Natural Language Processing
Multi-document summarization using A* search and discriminative training
EMNLP '10 Proceedings of the 2010 Conference on Empirical Methods in Natural Language Processing
Document update summarization using incremental hierarchical clustering
CIKM '10 Proceedings of the 19th ACM international conference on Information and knowledge management
Manifold ranking with sink points for update summarization
CIKM '10 Proceedings of the 19th ACM international conference on Information and knowledge management
Towards a unified approach to simultaneous single-document and multi-document summarizations
COLING '10 Proceedings of the 23rd International Conference on Computational Linguistics
Summarizing the differences from microblogs
SIGIR '12 Proceedings of the 35th international ACM SIGIR conference on Research and development in information retrieval
Cross community news event summary generation based on collaborative ranking
Proceedings of the 4th International Conference on Internet Multimedia Computing and Service
Generating comparative summaries from reviews
Proceedings of the 22nd ACM international conference on Conference on information & knowledge management
The notion of diversity in graphical entity summarisation on semantic knowledge graphs
Journal of Intelligent Information Systems
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There usually exist many news articles written in different languages about a hot news event. The news articles in different languages are written in different ways to reflect different standpoints. For example, the Chinese news agencies and the Western news agencies have published many articles to report the same news of "Liu Xiaobo's Nobel Prize" in Chinese and English languages, respectively. The Chinese news articles and the English news articles share something about the news fact in common, but they focus on different aspects in order to reflect different standpoints about the event. In this paper, we investigate the task of multilingual news summarization for the purpose of finding and summarizing the major differences between the news articles about the same event in the Chinese and English languages. We propose a novel constrained co-ranking (C-CoRank) method for addressing this special task. The C-CoRank method adds the constraints between the difference score and the common score of each sentence to the co-ranking process. Evaluation results on the manually labeled test set with 15 news topics show the effectiveness of our proposed method, and the constrained co-ranking method can outperform a few baselines and the typical co-ranking method.