Organizing an in-class hackathon to correct PDF-to-text conversion errors of 1.0 by Sunho Kim, Royoung Kim, Hee-Jo Nam, Ryeo-Gyeong Kim, Enjin Ko, Han-Su Kim, Jihye Shin, Daeun Cho, Yurhee Jin, Soyeon Bae, Ye Won Jo, San Ah Jeong, Yena Kim, Seoyeon Ahn, Bomi Jang, Jiheyon Seong, Yujin Lee, Si Eun Seo, Yujin Kim, Ha-Jeong Kim, Hyeji Kim, Hye-Lynn Sung, Hyoyoung Lho, Jaywon Koo, Jion Chu, Juwon Lim, Youngju Kim, Kyungyeon Lee, Yuri Lim, Meongeun Kim, Seonjeong Hwang, Shinhye Han, Sohyeun Bae, Sua Kim, Suhyeon Yoo, Yeonjeong Seo, Yerim Shin, Yonsoo Kim, You-Jung Ko, Jihee Baek, Hyejin Hyun, Hyemin Choi, Ji-Hye Oh, Da-Young Kim, Hyun-Seok Park

Subjects: “…biomedical text mining…”
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Towards cross-platform interoperability for machine-assisted text annotation by Richard Eckart de Castilho, Nancy Ide, Jin-Dong Kim, Jan-Christoph Klie, Keith Suderman

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Opinion: Strategy of Semi-Automatically Annotating a Full-Text Corpus of by Hyun-Seok Park

Subjects: “…biomedical text mining…”
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Supervised Learning and Knowledge-Based Approaches Applied to Biomedical Word Sense Disambiguation by Antunes Rui, Matos Sérgio

Subjects: “…biomedical text mining…”
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GNI Corpus Version 1.0: Annotated Full-Text Corpus of to Support Biomedical Information Extraction by So-Yeon Oh, Ji-Hyeon Kim, Seo-Jin Kim, Hee-Jo Nam, Hyun-Seok Park

Subjects: “…biomedical text mining…”
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Improving the CONTES method for normalizing biomedical text entities with concepts from an ontology with (almost) no training data by Arnaud Ferré, Mouhamadou Ba, Robert Bossy

Subjects: “…biomedical text mining…”
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Biomedical literature mining: graph kernel-based learning for gene–gene interaction extraction by Ai-Ru Hsieh, Chen-Yu Tsai

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Mining a stroke knowledge graph from literature by Xi Yang, Chengkun Wu, Goran Nenadic, Wei Wang, Kai Lu

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Towards PubMed 2.0 by Nicolas Fiorini, David J Lipman, Zhiyong Lu

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A deep learning approach to bilingual lexicon induction in the biomedical domain by Geert Heyman, Ivan Vulić, Marie-Francine Moens

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Benchmarking for biomedical natural language processing tasks with a domain specific ALBERT by Usman Naseem, Adam G. Dunn, Matloob Khushi, Jinman Kim

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A Survey on Event Extraction for Natural Language Understanding: Riding the Biomedical Literature Wave by Giacomo Frisoni, Gianluca Moro, Antonella Carbonaro

Subjects: “…Biomedical text mining…”
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Serial KinderMiner (SKiM) discovers and annotates biomedical knowledge using co-occurrence and transformer models by Robert J. Millikin, Kalpana Raja, John Steill, Cannon Lock, Xuancheng Tu, Ian Ross, Lam C. Tsoi, Finn Kuusisto, Zijian Ni, Miron Livny, Brian Bockelman, James Thomson, Ron Stewart

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COST-SENSITIVE STRUCTURED PERCEPTRON INCORPORATING CATEGORY HIERARCHY FOR NAMED ENTITY RECOGNITION by Shohei Higashiyama, Blondel Mathieu, Kazuhiro Seki, Kuniaki Uehara

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A hybrid deep learning framework for bacterial named entity recognition with domain features by Xusheng Li, Chengcheng Fu, Ran Zhong, Duo Zhong, Tingting He, Xingpeng Jiang

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ParaBTM: A Parallel Processing Framework for Biomedical Text Mining on Supercomputers by Yuting Xing, Chengkun Wu, Xi Yang, Wei Wang, En Zhu, Jianping Yin

Subjects: “…biomedical text mining…”
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Detecting causality from online psychiatric texts using inter-sentential language patterns by Wu Jheng-Long, Yu Liang-Chih, Chang Pei-Chann

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High-Precision Biomedical Relation Extraction for Reducing Human Curation Efforts in Industrial Applications by Alan Ramponi, Stefano Giampiccolo, Danilo Tomasoni, Corrado Priami, Rosario Lombardo

Subjects: “…Biomedical text mining…”
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A neural network multi-task learning approach to biomedical named entity recognition by Gamal Crichton, Sampo Pyysalo, Billy Chiu, Anna Korhonen

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Biomedical named entity recognition with the combined feature attention and fully-shared multi-task learning by Zhiyu Zhang, Arbee L. P. Chen

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