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
Sentence Fusion for Multidocument News Summarization
Computational Linguistics
Sentence fusion via dependency graph compression
EMNLP '08 Proceedings of the Conference on Empirical Methods in Natural Language Processing
Computational Linguistics
Time-efficient creation of an accurate sentence fusion corpus
HLT '10 Human Language Technologies: The 2010 Annual Conference of the North American Chapter of the Association for Computational Linguistics
Multi-sentence compression: finding shortest paths in word graphs
COLING '10 Proceedings of the 23rd International Conference on Computational Linguistics
Automatic analysis of semantic similarity in comparable text through syntactic tree matching
COLING '10 Proceedings of the 23rd International Conference on Computational Linguistics
Towards strict sentence intersection: decoding and evaluation strategies
MTTG '11 Proceedings of the Workshop on Monolingual Text-To-Text Generation
Learning to fuse disparate sentences
MTTG '11 Proceedings of the Workshop on Monolingual Text-To-Text Generation
ENLG '11 Proceedings of the 13th European Workshop on Natural Language Generation
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We show that question-based sentence fusion is a better defined task than generic sentence fusion (Q-based fusions are shorter, display less variety in length, yield more identical results and have higher normalized Rouge scores). Moreover, we show that in a QA setting, participants strongly prefer Q-based fusions over generic ones, and have a preference for union over intersection fusions.