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Tagging Funding Agencies and Grants in Scientific Articles using Sequential Learning Models.

, , , , , , and . BioNLP, page 216-221. Association for Computational Linguistics, (2017)

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Automatic identification of relevant chemical compounds from patents., , , , , , , , , and 3 other author(s). Database, (2019)A Framework to Automatically Extract Funding Information from Text., , , , , and . LOD, volume 11331 of Lecture Notes in Computer Science, page 317-328. Springer, (2018)Improving Chemical Named Entity Recognition in Patents with Contextualized Word Embeddings., , , , , , , and . CoRR, (2019)Learning Domain Labels Using Conceptual Fingerprints: An In-Use Case Study in the Neurology Domain., , , , and . EKAW, volume 10024 of Lecture Notes in Computer Science, page 731-745. (2016)The effect of language model probability on pronunciation reduction., , , and . ICASSP, page 801-804. IEEE, (2001)Selecting Documents Relevant for Chemistry as a Classification Problem., , , , and . EKAW (Satellite Events), volume 10180 of Lecture Notes in Computer Science, page 198-201. Springer, (2016)Tagging Funding Agencies and Grants in Scientific Articles using Sequential Learning Models., , , , , , and . BioNLP, page 216-221. Association for Computational Linguistics, (2017)Understanding the dynamics of collaborative multi-party discourse., , , , , , and . Information Visualization, 5 (4): 250-259 (2006)Investigations in Collaborative Multi-Party Discourse., and . ICWSM, (2007)Automatically Identifying Groups Based on Content and Collective Behavioral Patterns of Group Members., , , , , and . ICWSM, The AAAI Press, (2011)