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A Minimally Supervised Approach for Synonym Extraction with Word Embeddings

, , , and . The Prague Bulletin of Mathematical Linguistics, (April 2016)

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Word-Level Loss Extensions for Neural Temporal Relation Classification., and . COLING, page 3436-3447. Association for Computational Linguistics, (2018)A Survey on Temporal Reasoning for Temporal Information Extraction from Text., and . J. Artif. Intell. Res., (2019)Structured Learning for Temporal Relation Extraction from Clinical Records., and . EACL (1), page 1150-1158. Association for Computational Linguistics, (2017)A Flexible and Easy-to-use Semantic Role Labeling Framework for Different Languages., , , and . COLING (Demos), page 161-165. Association for Computational Linguistics, (2018)A Minimally Supervised Approach for Synonym Extraction with Word Embeddings, , , and . The Prague Bulletin of Mathematical Linguistics, (April 2016)KULeuven-LIIR at SemEval 2016 Task 12: Detecting Narrative Containment in Clinical Records., and . SemEval@NAACL-HLT, page 1280-1285. The Association for Computer Linguistics, (2016)Temporal Information Extraction by Predicting Relative Time-lines., and . EMNLP, page 1237-1246. Association for Computational Linguistics, (2018)A Minimally Supervised Approach for Synonym Extraction with Word Embeddings., , , and . Prague Bull. Math. Linguistics, (2016)Towards Extracting Absolute Event Timelines From English Clinical Reports., and . IEEE ACM Trans. Audio Speech Lang. Process., (2020)TIEVis: a Visual Analytics Dashboard for Temporal Information Extracted from Clinical Reports., , , , , and . IUI Companion, page 34-36. ACM, (2021)