A maximum entropy approach to natural language processing
Computational Linguistics
Summarization beyond sentence extraction: a probabilistic approach to sentence compression
Artificial Intelligence
Head-driven statistical models for natural language parsing
Head-driven statistical models for natural language parsing
Ultraconservative online algorithms for multiclass problems
The Journal of Machine Learning Research
Learning dependency translation models as collections of finite-state head transducers
Computational Linguistics - Special issue on finite-state methods in NLP
Stochastic inversion transduction grammars and bilingual parsing of parallel corpora
Computational Linguistics
Decoding complexity in word-replacement translation models
Computational Linguistics
Discovery of inference rules for question-answering
Natural Language Engineering
Sentence reduction for automatic text summarization
ANLC '00 Proceedings of the sixth conference on Applied natural language processing
Synchronous tree-adjoining grammars
COLING '90 Proceedings of the 13th conference on Computational linguistics - Volume 3
Motivations and methods for text simplification
COLING '96 Proceedings of the 16th conference on Computational linguistics - Volume 2
Example-based sentence reduction using the hidden markov model
ACM Transactions on Asian Language Information Processing (TALIP)
A syntax-based statistical translation model
ACL '01 Proceedings of the 39th Annual Meeting on Association for Computational Linguistics
BLEU: a method for automatic evaluation of machine translation
ACL '02 Proceedings of the 40th Annual Meeting on Association for Computational Linguistics
A noisy-channel model for document compression
ACL '02 Proceedings of the 40th Annual Meeting on Association for Computational Linguistics
NAACL '03 Proceedings of the 2003 Conference of the North American Chapter of the Association for Computational Linguistics on Human Language Technology - Volume 1
Learning non-isomorphic tree mappings for machine translation
ACL '03 Proceedings of the 41st Annual Meeting on Association for Computational Linguistics - Volume 2
Large Margin Methods for Structured and Interdependent Output Variables
The Journal of Machine Learning Research
A support vector method for multivariate performance measures
ICML '05 Proceedings of the 22nd international conference on Machine learning
The Alignment Template Approach to Statistical Machine Translation
Computational Linguistics
EMNLP '02 Proceedings of the ACL-02 conference on Empirical methods in natural language processing - Volume 10
Supervised and unsupervised learning for sentence compression
ACL '05 Proceedings of the 43rd Annual Meeting on Association for Computational Linguistics
ACL-44 Proceedings of the 21st International Conference on Computational Linguistics and the 44th annual meeting of the Association for Computational Linguistics
Learning accurate, compact, and interpretable tree annotation
ACL-44 Proceedings of the 21st International Conference on Computational Linguistics and the 44th annual meeting of the Association for Computational Linguistics
Hierarchical Phrase-Based Translation
Computational Linguistics
Design of a multi-lingual, parallel-processing statistical parsing engine
HLT '02 Proceedings of the second international conference on Human Language Technology Research
Sentence compression beyond word deletion
COLING '08 Proceedings of the 22nd International Conference on Computational Linguistics - Volume 1
Global inference for sentence compression an integer linear programming approach
Journal of Artificial Intelligence Research
From extractive to abstractive meeting summaries: can it be done by sentence compression?
ACLShort '09 Proceedings of the ACL-IJCNLP 2009 Conference Short Papers
An extractive supervised two-stage method for sentence compression
HLT '10 Human Language Technologies: The 2010 Annual Conference of the North American Chapter of the Association for Computational Linguistics
Automatic generation of story highlights
ACL '10 Proceedings of the 48th Annual Meeting of the Association for Computational Linguistics
Correcting errors in a treebank based on synchronous tree substitution grammar
ACLShort '10 Proceedings of the ACL 2010 Conference Short Papers
Complex lexico-syntactic reformulation of sentences using typed dependency representations
INLG '10 Proceedings of the 6th International Natural Language Generation Conference
Multi-sentence compression: finding shortest paths in word graphs
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
A survey of paraphrasing and textual entailment methods
Journal of Artificial Intelligence Research
Discourse constraints for document compression
Computational Linguistics
Simple English Wikipedia: a new text simplification task
HLT '11 Proceedings of the 49th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies: short papers - Volume 2
Learning to simplify sentences using Wikipedia
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
Framework for abstractive summarization using text-to-text generation
MTTG '11 Proceedings of the Workshop on Monolingual Text-To-Text Generation
Paraphrastic sentence compression with a character-based metric: tightening without deletion
MTTG '11 Proceedings of the Workshop on Monolingual Text-To-Text Generation
Evaluating sentence compression: pitfalls and suggested remedies
MTTG '11 Proceedings of the Workshop on Monolingual Text-To-Text Generation
Learning sentential paraphrases from bilingual parallel corpora for text-to-text generation
EMNLP '11 Proceedings of the Conference on Empirical Methods in Natural Language Processing
ENLG '11 Proceedings of the 13th European Workshop on Natural Language Generation
UCNLG+EVAL '11 Proceedings of the UCNLG+Eval: Language Generation and Evaluation Workshop
Revisiting centrality-as-relevance: support sets and similarity as geometric proximity
Journal of Artificial Intelligence Research
Bayesian symbol-refined tree substitution grammars for syntactic parsing
ACL '12 Proceedings of the 50th Annual Meeting of the Association for Computational Linguistics: Long Papers - Volume 1
Sentence compression with semantic role constraints
ACL '12 Proceedings of the 50th Annual Meeting of the Association for Computational Linguistics: Short Papers - Volume 2
Fully abstractive approach to guided summarization
ACL '12 Proceedings of the 50th Annual Meeting of the Association for Computational Linguistics: Short Papers - Volume 2
Multiple aspect summarization using integer linear programming
EMNLP-CoNLL '12 Proceedings of the 2012 Joint Conference on Empirical Methods in Natural Language Processing and Computational Natural Language Learning
An abstractive approach to sentence compression
ACM Transactions on Intelligent Systems and Technology (TIST) - Special Sections on Paraphrasing; Intelligent Systems for Socially Aware Computing; Social Computing, Behavioral-Cultural Modeling, and Prediction
Statistical parsing with probabilistic symbol-refined tree substitution grammars
IJCAI'13 Proceedings of the Twenty-Third international joint conference on Artificial Intelligence
Unsupervised sub-tree alignment for tree-to-tree translation
Journal of Artificial Intelligence Research
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This paper presents a tree-to-tree transduction method for sentence compression. Our model is based on synchronous tree substitution grammar, a formalism that allows local distortion of the tree topology and can thus naturally capture structural mismatches. We describe an algorithm for decoding in this framework and show how the model can be trained discriminatively within a large margin framework. Experimental results on sentence compression bring significant improvements over a state-of-the-art model.