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Going out on a limb: Joint Extraction of Entity Mentions and Relations without Dependency Trees.

, and . ACL (1), page 917-928. Association for Computational Linguistics, (2017)

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Machine Learning for Natural Language Processing (and Vice Versa?).. PKDD, volume 3721 of Lecture Notes in Computer Science, page 2. Springer, (2005)Multinomial Adversarial Networks for Multi-Domain Text Classification., and . NAACL-HLT, page 1226-1240. Association for Computational Linguistics, (2018)Nested Named Entity Recognition Revisited., and . NAACL-HLT, page 861-871. Association for Computational Linguistics, (2018)Structured Local Training and Biased Potential Functions for Conditional Random Fields with Application to Coreference Resolution., and . HLT-NAACL, page 65-72. The Association for Computational Linguistics, (2007)OpinionFinder: A System for Subjectivity Analysis., , , , , , , , and . HLT/EMNLP, page 34-35. The Association for Computational Linguistics, (2005)Using Natural Language Processing to Improve eRulemaking, , , and . Proceedings of Digital Government Research (dg.o), (2006)Intentonomy: A Dataset and Study Towards Human Intent Understanding., , , , , and . CVPR, page 12986-12996. Computer Vision Foundation / IEEE, (2021)Automating Feature Set Selection for Case-Based Learning of Linguistic Knowledge.. EMNLP, (1996)Combining Sample Selection and Error-Driven Pruning for Machine Learning of Coreference Rules., and . EMNLP, page 55-62. (2002)When in Doubt: Improving Classification Performance with Alternating Normalization., , , , and . EMNLP (Findings), page 1716-1723. Association for Computational Linguistics, (2021)