Generation that exploits corpus-based statistical knowledge
COLING '98 Proceedings of the 17th international conference on Computational linguistics - Volume 1
Word order acquisition from corpora
COLING '00 Proceedings of the 18th conference on Computational linguistics - Volume 2
Accurate unlexicalized parsing
ACL '03 Proceedings of the 41st Annual Meeting on Association for Computational Linguistics - Volume 1
Speech and Language Processing (2nd Edition)
Speech and Language Processing (2nd Edition)
COLING '04 Proceedings of the 20th international conference on Computational Linguistics
Automatic Evaluation of Information Ordering: Kendall's Tau
Computational Linguistics
Perceptron reranking for CCG realization
EMNLP '09 Proceedings of the 2009 Conference on Empirical Methods in Natural Language Processing: Volume 1 - Volume 1
Broad coverage multilingual deep sentence generation with a stochastic multi-level realizer
COLING '10 Proceedings of the 23rd International Conference on Computational Linguistics
On the limits of sentence compression by deletion
Empirical methods in natural language generation
Underspecifying and predicting voice for surface realisation ranking
HLT '11 Proceedings of the 49th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies - Volume 1
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
Dependency-based n-gram models for general purpose sentence realisation
Natural Language Engineering
Syntax-based word ordering incorporating a large-scale language model
EACL '12 Proceedings of the 13th Conference of the European Chapter of the Association for Computational Linguistics
To what extent does sentence-internal realisation reflect discourse context?: a study on word order
EACL '12 Proceedings of the 13th Conference of the European Chapter of the Association for Computational Linguistics
Minimal dependency length in realization ranking
EMNLP-CoNLL '12 Proceedings of the 2012 Joint Conference on Empirical Methods in Natural Language Processing and Computational Natural Language Learning
Generating non-projective word order in statistical linearization
EMNLP-CoNLL '12 Proceedings of the 2012 Joint Conference on Empirical Methods in Natural Language Processing and Computational Natural Language Learning
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We compare two approaches to dependency tree linearization, a task which arises in many NLP applications. The first one is the widely used 'overgenerate and rank' approach which relies exclusively on a trigram language model (LM); the second one combines language modeling with a maximum entropy classifier trained on a range of linguistic features. The results provide strong support for the combined method and show that trigram LMs are appropriate for phrase linearization while on the clause level a richer representation is necessary to achieve comparable performance.