Summarization beyond sentence extraction: a probabilistic approach to sentence compression
Artificial Intelligence
Information fusion for multidocument summarization: paraphrasing and generation
Information fusion for multidocument summarization: paraphrasing and generation
Motivations and methods for text simplification
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ACL '02 Proceedings of the 40th Annual Meeting on Association for Computational Linguistics
Accurate unlexicalized parsing
ACL '03 Proceedings of the 41st Annual Meeting on Association for Computational Linguistics - Volume 1
Text simplification for reading assistance: a project note
PARAPHRASE '03 Proceedings of the second international workshop on Paraphrasing - Volume 16
Sentence alignment for monolingual comparable corpora
EMNLP '03 Proceedings of the 2003 conference on Empirical methods in natural language processing
Mining wikipedia revision histories for improving sentence compression
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Sentence compression beyond word deletion
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Quasi-synchronous grammars: alignment by soft projection of syntactic dependencies
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ACL '09 Proceedings of the Joint Conference of the 47th Annual Meeting of the ACL and the 4th International Joint Conference on Natural Language Processing of the AFNLP: Volume 1 - Volume 1
Paraphrase identification as probabilistic quasi-synchronous recognition
ACL '09 Proceedings of the Joint Conference of the 47th Annual Meeting of the ACL and the 4th International Joint Conference on Natural Language Processing of the AFNLP: Volume 1 - Volume 1
Application-driven statistical paraphrase generation
ACL '09 Proceedings of the Joint Conference of the 47th Annual Meeting of the ACL and the 4th International Joint Conference on Natural Language Processing of the AFNLP: Volume 2 - Volume 2
Parser adaptation and projection with quasi-synchronous grammar features
EMNLP '09 Proceedings of the 2009 Conference on Empirical Methods in Natural Language Processing: Volume 2 - Volume 2
For the sake of simplicity: unsupervised extraction of lexical simplifications from Wikipedia
HLT '10 Human Language Technologies: The 2010 Annual Conference of the North American Chapter of the Association for Computational Linguistics
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A monolingual tree-based translation model for sentence simplification
COLING '10 Proceedings of the 23rd International Conference on Computational Linguistics
A dataset for the evaluation of lexical simplification
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User edits classification using document revision histories
EACL '12 Proceedings of the 13th Conference of the European Chapter of the Association for Computational Linguistics
Exploiting multiple treebanks for parsing with quasi-synchronous grammars
ACL '12 Proceedings of the 50th Annual Meeting of the Association for Computational Linguistics: Long Papers - Volume 1
Sentence simplification by monolingual machine translation
ACL '12 Proceedings of the 50th Annual Meeting of the Association for Computational Linguistics: Long Papers - Volume 1
A hybrid system for Spanish text simplification
SLPAT '12 Proceedings of the Third Workshop on Speech and Language Processing for Assistive Technologies
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Artificial Intelligence
Evaluating Entity Linking with Wikipedia
Artificial Intelligence
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Text simplification resources for Spanish
Language Resources and Evaluation
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Text simplification aims to rewrite text into simpler versions, and thus make information accessible to a broader audience. Most previous work simplifies sentences using handcrafted rules aimed at splitting long sentences, or substitutes difficult words using a predefined dictionary. This paper presents a data-driven model based on quasi-synchronous grammar, a formalism that can naturally capture structural mismatches and complex rewrite operations. We describe how such a grammar can be induced from Wikipedia and propose an integer linear programming model for selecting the most appropriate simplification from the space of possible rewrites generated by the grammar. We show experimentally that our method creates simplifications that significantly reduce the reading difficulty of the input, while maintaining grammaticality and preserving its meaning.