Simple coreference resolution with rich syntactic and semantic features
EMNLP '09 Proceedings of the 2009 Conference on Empirical Methods in Natural Language Processing: Volume 3 - Volume 3
Learning paraphrases from text
Learning paraphrases from text
A survey of paraphrasing and textual entailment methods
Journal of Artificial Intelligence Research
Empirical methods for the study of denotation in nominalizations in spanish
Computational Linguistics
Learning regular expressions to template-based FAQ retrieval systems
Knowledge-Based Systems
Plagiarism meets paraphrasing: Insights for the next generation in automatic plagiarism detection
Computational Linguistics
Hi-index | 0.00 |
By providing a better understanding of paraphrase and coreference in terms of similarities and differences in their linguistic nature, this article delimits what the focus of paraphrase extraction and coreference resolution tasks should be, and to what extent they can help each other. We argue for the relevance of this discussion to Natural Language Processing.