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Using domain knowledge for ontology-guided entity extraction from noisy, unstructured text data., , , and . AND, page 101-106. ACM, (2009)Towards a Generative Lexical Resource: The Brandeis Semantic Ontology., , , , and . LREC, page 1702-1705. European Language Resources Association (ELRA), (2006)Memory-Augmented Recurrent Networks for Dialogue Coherence., , and . CoRR, (2019)Normalization of relative and incomplete temporal expressions in clinical narratives., , and . J. Am. Medical Informatics Assoc., 22 (5): 1001-1008 (2015)Automatic Labeling of Problem-Solving Dialogues for Computational Microgenetic Learning Analytics., , and . LREC, European Language Resources Association (ELRA), (2018)SemEval-2017 Task 6: #HashtagWars: Learning a Sense of Humor., , and . SemEval@ACL, page 49-57. Association for Computational Linguistics, (2017)Let's Reinforce Step by Step., , , and . CoRR, (2023)Domain-specific entity extraction from noisy, unstructured data using ontology-guided search., , , , and . Int. J. Document Anal. Recognit., 14 (2): 201-211 (2011)Stack More Layers Differently: High-Rank Training Through Low-Rank Updates., , , and . CoRR, (2023)MCN: A comprehensive corpus for medical concept normalization., , and . J. Biomed. Informatics, (2019)