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This before That: Causal Precedence in the Biomedical Domain.

, , , and . BioNLP@ACL, page 146-155. Association for Computational Linguistics, (2016)

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Enabling Search and Collaborative Assembly of Causal Interactions Extracted from Multilingual and Multi-domain Free Text., , , , , , and . NAACL-HLT (Demonstrations), page 12-17. Association for Computational Linguistics, (2019)An investigation of coreference phenomena in the biomedical domain., , , and . CoRR, (2016)Analyzing the language of food on social media., , , , and . IEEE BigData, page 778-783. IEEE Computer Society, (2014)Large-scale automated machine reading discovers new cancer-driving mechanisms., , , , , , , , , and . Database J. Biol. Databases Curation, (2018)Grounding Gradable Adjectives through Crowdsourcing, , , , and . Proceedings of the Eleventh International Conference on Language Resources and Evaluation, (May 2018)Detecting Diabetes Risk from Social Media Activity., , , , , and . Louhi@EMNLP, page 1-11. Association for Computational Linguistics, (2018)SnapToGrid: From Statistical to Interpretable Models for Biomedical Information Extraction., , , and . BioNLP@ACL, page 56-65. Association for Computational Linguistics, (2016)Odinson: A Fast Rule-based Information Extraction Framework., , and . LREC, page 2183-2191. European Language Resources Association, (2020)SnapToGrid: From Statistical to Interpretable Models for Biomedical Information Extraction., , , and . CoRR, (2016)Towards Using Social Media to Identify Individuals at Risk for Preventable Chronic Illness., , , , and . LREC, European Language Resources Association (ELRA), (2016)