Publications

  1. Sharma, Raksha, and Pushpak Bhattacharyya. “Detecting Domain Dedicated Polar Words.”Proceedings of the Sixth International Joint Conference on Natural Language Processing, pp. 661-666. 2013. (CORE Ranking: B)

  2. Sharma, Raksha, and Pushpak Bhattacharyya. "A sentiment analyzer for hindi using hindi senti lexicon." In Proceedings of the 11th International Conference on Natural Language Processing, pp. 150-155. 2014. 

  3. Sharma, Raksha, Mohit Gupta, Astha Agarwal, and Pushpak Bhattacharyya. "Adjective intensity and sentiment analysis." In Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing, pp. 2520-2526. 2015. (CORE Ranking: A)

  4. Sharma, Raksha, and Pushpak Bhattacharyya. "Domain sentiment matters: A two stage sentiment analyzer." In Proceedings of the 12th International Conference on Natural Language Processing, pp. 130-137. 2015.

  5. Sharma, Raksha, and Pushpak Bhattacharyya. "High, Medium or Low? Detecting Intensity Variation Among polar synonyms in WordNet." In Global WordNet Conference, p. 384. 2016. (CORE Ranking: C)

  6. Sharma, Raksha, Sudha Bhingardive, and Pushpak Bhattacharyya. "Meaning Matters: Senses of Words are More Informative than Words for Cross-domain Sentiment Analysis." In Proceedings of the 13th International Conference on Natural Language Processing, pp. 115-119. 2016.

  7. Sharma, Raksha, Arpan Somani, Lakshya Kumar, and Pushpak Bhattacharyya. "Sentiment intensity ranking among adjectives using sentiment bearing word embeddings." In Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing, pp. 547-552. 2017.  (CORE Ranking: A)

  8. Sharma, Raksha, Dibyendu Mondal, and Pushpak Bhattacharyya. "A Comparison Among Significance Tests and Other Feature Building Methods for Sentiment Analysis: A First Study." In International Conference on Computational Linguistics and Intelligent Text Processing, pp. 3-19. Springer, Cham, 2017. (CORE Ranking: B)

  9. Sharma, Raksha, Pushpak Bhattacharyya, Sandipan Dandapat, and Himanshu Sharad Bhatt. "Identifying transferable information across domains for cross-domain sentiment classification." In Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), pp. 968-978. 2018.  (CORE Ranking: A*)

  10. Sharma, Raksha, Girish Palshikar, and Sachin Pawar. "An Unsupervised Approach for Cause-Effect Relation Extraction from Biomedical Text." In International Conference on Applications of Natural Language to Information Systems, pp. 419-427. Springer, Cham, 2018. (CORE Ranking: C)

  11. S Sangawan, R Sharma,  G K Palshikar, Cold is a Disease and D-cold is a Drug: Identifying Biological Types of Entities in the Biomedical Domain. In International Conference on Computational Linguistics and Intelligent Text Processing, pp. 3-19. Springer, Cham, 2019. (CORE Ranking: B) 

  12. A Chakraborty, R Sharma, See Deeper: Identifying Crystal Structure from X-ray Diffraction patterns. In International Conference on CyberWorlds 2020. (CORE Ranking: B)

  13. R Sharma, P Bhattacharyya, Welcome vs. Heartily Welcome : A Technique to Generate Sentiment Intensity Annotated Dataset. (Under Evaluation)

  14. R Sharma, GK Palshikar, Virus Causes Flu: Identifying Causality in the Biomedical Domain using Target-specific Semantic Embeddings. (Under Evaluation)