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SZTE-NLP: Sentiment Detection on Twitter Messages.

, , and . SemEval@NAACL-HLT, page 549-553. The Association for Computer Linguistics, (2013)

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Research Paper: State-of-the-art Anonymization of Medical Records Using an Iterative Machine Learning Framework., , and . JAMIA, 14 (5): 574-580 (2007)The BioScope corpus: biomedical texts annotated for uncertainty, negation and their scopes., , , , and . BMC Bioinform., (2008)Are These Descriptions Referring to the Same Entity or Just to Similar Ones?, and . AIAI (2), volume 676 of IFIP Advances in Information and Communication Technology, page 387-398. Springer, (2023)magyarlanc: A Tool for Morphological and Dependency Parsing of Hungarian., , and . RANLP, page 763-771. RANLP 2013 Organising Committee / ACL, (2013)SZTE-NLP: Aspect level opinion mining exploiting syntactic cues., , , and . SemEval@COLING, page 610-614. The Association for Computer Linguistics, (2014)GYDER: Maxent Metonymy Resolution., , , and . SemEval@ACL, page 161-164. The Association for Computer Linguistics, (2007)Universal Dependencies and Morphology for Hungarian - and on the Price of Universality., , , and . EACL (1), page 356-365. Association for Computational Linguistics, (2017)Linguistic scope-based and biological event-based speculation and negation annotations in the Genia Event and BioScope corpora., , , , and . Semantic Mining in Biomedicine, volume 714 of CEUR Workshop Proceedings, CEUR-WS.org, (2010)The BioScope corpus: annotation for negation, uncertainty and their scope in biomedical texts., , , and . BioNLP, page 38-45. Association for Computational Linguistics, (2008)Learning Local Content Shift Detectors from Document-level Information.. EMNLP, page 759-770. ACL, (2011)