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In-vivo quantitative analysis of the angiogenic microvasculature in tumor-bearing rats using multiple scattering.

, , , , , and . Proc. Meetings on Acoustics, (2016)

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How Challenging is Sarcasm versus Irony Classification?: A Study With a Dataset from English Literature., , , , , , and . ALTA, page 123-127. ACL, (2016)Deep Models for Converting Sarcastic Utterances into their Non Sarcastic Interpretation., , and . COMAD/CODS, page 289-292. ACM, (2019)A Comparison of Word-based and Context-based Representations for Classification Problems in Health Informatics., , , , and . BioNLP@ACL, page 135-141. Association for Computational Linguistics, (2019)Figurative Usage Detection of Symptom Words to Improve Personal Health Mention Detection., , , , and . ACL (1), page 1142-1147. Association for Computational Linguistics, (2019)Firewall modules and modular firewalls., , and . ICNP, page 174-182. IEEE Computer Society, (2010)Your Sentiment Precedes You: Using an author's historical tweets to predict sarcasm., , , and . WASSA@EMNLP, page 25-30. The Association for Computer Linguistics, (2015)Automatic Sarcasm Detection: A Survey., , and . CoRR, (2016)Making Headlines in Hindi: Automatic English to Hindi News Headline Translation., , , and . IJCNLP, page 21-24. Asian Federation of Natural Language Processing / ACL, (2013)SIEL: Aspect Based Sentiment Analysis in Reviews., , and . SemEval@NAACL-HLT, page 759-766. The Association for Computer Linguistics, (2015)Are Word Embedding-based Features Useful for Sarcasm Detection?, , , , and . EMNLP, page 1006-1011. The Association for Computational Linguistics, (2016)