Towards multidocument summarization by reformulation: progress and prospects
AAAI '99/IAAI '99 Proceedings of the sixteenth national conference on Artificial intelligence and the eleventh Innovative applications of artificial intelligence conference innovative applications of artificial intelligence
Building natural language generation systems
Building natural language generation systems
Cut-and-paste text summarization
Cut-and-paste text summarization
TnT: a statistical part-of-speech tagger
ANLC '00 Proceedings of the sixth conference on Applied natural language processing
Generation that exploits corpus-based statistical knowledge
COLING '98 Proceedings of the 17th international conference on Computational linguistics - Volume 1
Sentence Fusion for Multidocument News Summarization
Computational Linguistics
Hybrid parsing: using probabilistic models as predictors for a symbolic parser
ACL-44 Proceedings of the 21st International Conference on Computational Linguistics and the 44th annual meeting of the Association for Computational Linguistics
COLING '04 Proceedings of the 20th international conference on Computational Linguistics
Accessing GermaNet data and computing semantic relatedness
ACLdemo '05 Proceedings of the ACL 2005 on Interactive poster and demonstration sessions
HLT-Short '08 Proceedings of the 46th Annual Meeting of the Association for Computational Linguistics on Human Language Technologies: Short Papers
WikiRelate! computing semantic relatedness using wikipedia
AAAI'06 proceedings of the 21st national conference on Artificial intelligence - Volume 2
Global inference for sentence compression an integer linear programming approach
Journal of Artificial Intelligence Research
Dependency tree based sentence compression
INLG '08 Proceedings of the Fifth International Natural Language Generation Conference
EACL '09 Proceedings of the 12th Conference of the European Chapter of the Association for Computational Linguistics
A comparison of model free versus model intensive approaches to sentence compression
EMNLP '09 Proceedings of the 2009 Conference on Empirical Methods in Natural Language Processing: Volume 1 - Volume 1
Syntax-driven sentence revision for broadcast news summarization
UCNLG+Sum '09 Proceedings of the 2009 Workshop on Language Generation and Summarisation
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
Broad coverage multilingual deep sentence generation with a stochastic multi-level realizer
COLING '10 Proceedings of the 23rd International Conference on Computational Linguistics
Multi-sentence compression: finding shortest paths in word graphs
COLING '10 Proceedings of the 23rd International Conference on Computational Linguistics
A monolingual tree-based translation model for sentence simplification
COLING '10 Proceedings of the 23rd International Conference on Computational Linguistics
Spanning tree approaches for statistical sentence generation
Empirical methods in natural language generation
On the limits of sentence compression by deletion
Empirical methods in natural language generation
Optimal and syntactically-informed decoding for monolingual phrase-based alignment
HLT '11 Proceedings of the 49th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies: short papers - Volume 2
Text specificity and impact on quality of news summaries
MTTG '11 Proceedings of the Workshop on Monolingual Text-To-Text Generation
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
Sentence simplification by monolingual machine translation
ACL '12 Proceedings of the 50th Annual Meeting of the Association for Computational Linguistics: Long Papers - Volume 1
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We present a novel unsupervised sentence fusion method which we apply to a corpus of biographies in German. Given a group of related sentences, we align their dependency trees and build a dependency graph. Using integer linear programming we compress this graph to a new tree, which we then linearize. We use GermaNet and Wikipedia for checking semantic compatibility of co-arguments. In an evaluation with human judges our method outperforms the fusion approach of Barzilay & McKeown (2005) with respect to readability.