Discovery of inference rules for question-answering
Natural Language Engineering
Syntagmatic and paradigmatic representations of term variation
ACL '99 Proceedings of the 37th annual meeting of the Association for Computational Linguistics on Computational Linguistics
Extracting paraphrases from a parallel corpus
ACL '01 Proceedings of the 39th Annual Meeting on Association for Computational Linguistics
Learning to paraphrase: an unsupervised approach using multiple-sequence alignment
NAACL '03 Proceedings of the 2003 Conference of the North American Chapter of the Association for Computational Linguistics on Human Language Technology - Volume 1
Syntax-based alignment of multiple translations: extracting paraphrases and generating new sentences
NAACL '03 Proceedings of the 2003 Conference of the North American Chapter of the Association for Computational Linguistics on Human Language Technology - Volume 1
Accurate unlexicalized parsing
ACL '03 Proceedings of the 41st Annual Meeting on Association for Computational Linguistics - Volume 1
The Alignment Template Approach to Statistical Machine Translation
Computational Linguistics
Paraphrasing with bilingual parallel corpora
ACL '05 Proceedings of the 43rd Annual Meeting on Association for Computational Linguistics
Unsupervised construction of large paraphrase corpora: exploiting massively parallel news sources
COLING '04 Proceedings of the 20th international conference on Computational Linguistics
Constructing corpora for the development and evaluation of paraphrase systems
Computational Linguistics
Moses: open source toolkit for statistical machine translation
ACL '07 Proceedings of the 45th Annual Meeting of the ACL on Interactive Poster and Demonstration Sessions
Yawat: yet another word alignment tool
HLT-Demonstrations '08 Proceedings of the 46th Annual Meeting of the Association for Computational Linguistics on Human Language Technologies: Demo Session
ParaMetric: an automatic evaluation metric for paraphrasing
COLING '08 Proceedings of the 22nd International Conference on Computational Linguistics - Volume 1
Syntactic constraints on paraphrases extracted from parallel corpora
EMNLP '08 Proceedings of the Conference on Empirical Methods in Natural Language Processing
Learning paraphrases from text
Learning paraphrases from text
PEM: a paraphrase evaluation metric exploiting parallel texts
EMNLP '10 Proceedings of the 2010 Conference on Empirical Methods in Natural Language Processing
Comparison of paraphrase acquisition techniques on sentential paraphrases
IceTAL'10 Proceedings of the 7th international conference on Advances in natural language processing
A survey of paraphrasing and textual entailment methods
Journal of Artificial Intelligence Research
Generating phrasal and sentential paraphrases: A survey of data-driven methods
Computational Linguistics
The circle of meaning: from translation to paraphrasing and back
The circle of meaning: from translation to paraphrasing and back
Collecting highly parallel data for paraphrase evaluation
HLT '11 Proceedings of the 49th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies - Volume 1
An empirical evaluation of data-driven paraphrase generation techniques
HLT '11 Proceedings of the 49th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies: short papers - Volume 2
Generalizing sub-sentential paraphrase acquisition across original signal type of text pairs
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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The task of paraphrase acquisition from related sentences can be tackled by a variety of techniques making use of various types of knowledge. In this work, we make the hypothesis that their performance can be increased if candidate paraphrases can be validated using information that characterizes paraphrases independently of the set of techniques that proposed them. We implement this as a bi-class classification problem (i.e. paraphrase vs. not paraphrase), allowing any paraphrase acquisition technique to be easily integrated into the combination system. We report experiments on two languages, English and French, with 5 individual techniques on parallel monolingual parallel corpora obtained via multiple translation, and a large set of classification features including surface to contextual similarity measures. Relative improvements in F-measure close to 18% are obtained on both languages over the best performing techniques.