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BioNLP-OST 2019 RDoC Tasks: Multi-grain Neural Relevance Ranking Using Topics and Attention Based Query-Document-Sentence Interactions., , and . BioNLP-OST@EMNLP-IJNCLP, page 227-236. Association for Computational Linguistics, (2019)Towards Summarization for Social Media - Results of the TL;DR Challenge., , , , , and . INLG, page 523-528. Association for Computational Linguistics, (2019)Self-Annotation for fine-grained geospatial relation extraction., and . COLING, page 80-88. Tsinghua University Press, (2010)Joint Lemmatization and Morphological Tagging with Lemming., , , and . EMNLP, page 2268-2274. The Association for Computational Linguistics, (2015)LISA: Explaining Recurrent Neural Network Judgments via Layer-wIse Semantic Accumulation and Example to Pattern Transformation., and . BlackboxNLP@EMNLP, page 154-164. Association for Computational Linguistics, (2018)Unlabeled Data for Morphological Generation With Character-Based Sequence-to-Sequence Models., and . SWCN@EMNLP, page 76-81. Association for Computational Linguistics, (2017)The LMU System for the CoNLL-SIGMORPHON 2017 Shared Task on Universal Morphological Reinflection., and . CoNLL Shared Task (1), page 40-48. Association for Computational Linguistics, (2017)ThaiLMCut: Unsupervised Pretraining for Thai Word Segmentation., , , , , and . LREC, page 6947-6957. European Language Resources Association, (2020)Part-of-Speech Tagging using a Variable Memory Markov Model., and . ACL, page 181-187. Morgan Kaufmann Publishers / ACL, (1994)Listening to Affected Communities to Define Extreme Speech: Dataset and Experiments., , , , , and . ACL (Findings), page 1089-1104. Association for Computational Linguistics, (2022)