@InProceedings{rudrapal-das:2017:RANLP,
  author    = {Rudrapal, Dwijen  and  Das, Amitava},
  title     = {Measuring the Limit of Semantic Divergence for English Tweets.},
  booktitle = {Proceedings of the International Conference Recent Advances in Natural Language Processing, RANLP 2017},
  month     = {September},
  year      = {2017},
  address   = {Varna, Bulgaria},
  publisher = {INCOMA Ltd.},
  pages     = {618--624},
  abstract  = {In human language, an expression could be conveyed in many ways by different
	people. Even that the same person may express same sentence quite differently
	when addressing different audiences, using different modalities, or using
	different syntactic variations or may use different set of vocabulary. The
	possibility of such endless surface form of  text while the meaning of the text
	remains almost same, poses many challenges for Natural Language Processing
	(NLP) systems like question-answering system, machine translation system and
	text summarization. This research paper is an endeavor to understand the
	characteristic of such endless semantic divergence. In this research work we
	develop a corpus of 1525 semantic divergent sentences for 200 English tweets.},
  url       = {https://doi.org/10.26615/978-954-452-049-6_080}
}