Fetching the paper…
Reading the bibliography…
We introduce biomedical and clinical English model packages for the Stanza Python NLP library.
GENIA corpus—a semantically annotated corpus for bio-textmining
J-D Kim, Tomoko Ohta, Yuka Tateisi, and Jun’ichi Tsujii. 2003 · 2003
Earlier work this paper cites.
Introduction to the bio-entity recognition task at JNLPBA
Jin-Dong Kim, Tomoko Ohta, Yoshimasa Tsuruoka, Yuka Tateisi, and Nigel Collier. 2004 · 2004
Earlier work this paper cites.
Biomedical language processing: what’s beyond PubMed?
Lawrence Hunter and K Bretonnel Cohen. 2006 · 2006
Earlier work this paper cites.
Self-training for biomedical parsing
David McClosky and Eugene Charniak. 2008 · 2008
Earlier work this paper cites.
Natural language processing with Python: analyzing text with the natural language toolkit
Steven Bird, Ewan Klein, and Edward Loper. 2009 · 2009
Earlier work this paper cites.
Use of electronic health records in US hospitals
Ashish K Jha, Catherine M DesRoches, Eric G Campbell, Karen Donelan, Sowmya R Rao, Timothy G Ferris, Alexandra Shields, Sara Rosenbaum, and David Blumenthal. 2009 · 2009
Earlier work this paper cites.
An overview of MetaMap: historical perspective and recent advances
Alan R Aronson and François-Michel Lang. 2010 · 2010
Earlier work this paper cites.
LINNAEUS: a species name identification system for biomedical literature
Martin Gerner, Goran Nenadic, and Casey M Bergman. 2010 · 2010
Earlier work this paper cites.
Mayo clinical Text Analysis and Knowledge Extraction System (cTAKES): architecture, component evaluation and applications
Guergana K Savova, James J Masanz, Philip V Ogren, Jiaping Zheng, Sunghwan Sohn, Karin C Kipper-Schuler, and Christopher G Chute. 2010 · 2010
Earlier work this paper cites.
2010 i2b2/VA challenge on concepts, assertions, and relations in clinical text
Özlem Uzuner, Brett R South, Shuying Shen, and Scott L DuVall. 2011 · 2010
Earlier work this paper cites.
AskHERMES: An online question answering system for complex clinical questions
YongGang Cao, Feifan Liu, Pippa Simpson, Lamont Antieau, Andrew Bennett, James J Cimino, John Ely, and Hong Yu. 2011 · 2011
Earlier work this paper cites.
A corpus of full-text journal articles is a robust evaluation tool for revealing differences in performance of biomedical natural language processing tools
Karin Verspoor, Kevin Bretonnel Cohen, Arrick Lanfranchi, Colin Warner, Helen L Johnson, Christophe Roeder, Jinho D Choi, Christopher Funk, Yuriy Malenkiy, Miriam Eckert, et al. 2012 · 2012
Earlier work this paper cites.
The SPECIES and ORGANISMS resources for fast and accurate identification of taxonomic names in text
Evangelos Pafilis, Sune P Frankild, Lucia Fanini, Sarah Faulwetter, Christina Pavloudi, Aikaterini Vasileiadou, Christos Arvanitidis, and Lars Juhl Jensen. 2013 · 2013
Earlier work this paper cites.
Overview of the cancer genetics and pathway curation tasks of BioNLP shared task 2013
Sampo Pyysalo, Tomoko Ohta, Rafal Rak, Andrew Rowley, Hong-Woo Chun, Sung-Jae Jung, Sung-Pil Choi, Jun’ichi Tsujii, and Sophia Ananiadou. 2015 · 2013
Cited alongside, same era.
NCBI disease corpus: a resource for disease name recognition and concept normalization
Rezarta Islamaj Doğan, Robert Leaman, and Zhiyong Lu. 2014 · 2014
Cited alongside, same era.
The Stanford CoreNLP natural language processing toolkit
Christopher D. Manning, Mihai Surdeanu, John Bauer, Jenny Finkel, Steven J. Bethard, and David McClosky. 2014 · 2014
Cited alongside, same era.
Literome: PubMed-scale genomic knowledge base in the cloud
Hoifung Poon, Chris Quirk, Charlie DeZiel, and David Heckerman. 2014 · 2014
Cited alongside, same era.
Anatomical entity mention recognition at literature scale
Sampo Pyysalo and Sophia Ananiadou. 2014 · 2014
Cited alongside, same era.
A gold standard dependency corpus for English
Contextual string embeddings for sequence labeling
Alan Akbik, Duncan Blythe, and Roland Vollgraf. 2018 · 2018
Later among the works it cites.
Universal dependency parsing from scratch
Peng Qi, Timothy Dozat, Yuhao Zhang, and Christopher D. Manning. 2018 · 2018
Later among the works it cites.
CRAFT shared tasks 2019 overview—integrated structure, semantics, and coreference
William A Baumgartner Jr, Michael Bada, Sampo Pyysalo, Manuel R Ciosici, Negacy Hailu, Harrison Pielke-Lombardo, Michael Regan, and Lawrence Hunter. 2019 · 2019
Later among the works it cites.
Extracting symptoms and their status from clinical conversations
Nan Du, Kai Chen, Anjuli Kannan, Linh Tran, Yuhui Chen, and Izhak Shafran. 2019 · 2019
Later among the works it cites.
PubMedQA: A dataset for biomedical research question answering
Qiao Jin, Bhuwan Dhingra, Zhengping Liu, William Cohen, and Xinghua Lu. 2019 · 2019
Later among the works it cites.
ScispaCy: Fast and robust models for biomedical natural language processing
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
Natalia Silveira, Timothy Dozat, Marie-Catherine de Marneffe, Samuel Bowman, Miriam Connor, John Bauer, and Christopher D. Manning. 2014 · 2014
Cited alongside, same era.
The CHEMDNER corpus of chemicals and drugs and its annotation principles
Martin Krallinger, Obdulia Rabal, Florian Leitner, Miguel Vazquez, David Salgado, Zhiyong Lu, Robert Leaman, Yanan Lu, Donghong Ji, Daniel M Lowe, et al. 2015 · 2015
Cited alongside, same era.
Globally normalized transition-based neural networks
Daniel Andor, Chris Alberti, David Weiss, Aliaksei Severyn, Alessandro Presta, Kuzman Ganchev, Slav Petrov, and Michael Collins. 2016 · 2016
Cited alongside, same era.
Information extraction from multi-institutional radiology reports
Saeed Hassanpour and Curtis P Langlotz. 2016 · 2016
Cited alongside, same era.
MIMIC-III, a freely accessible critical care database
Alistair EW Johnson, Tom J Pollard, Lu Shen, H Lehman Li-Wei, Mengling Feng, Mohammad Ghassemi, Benjamin Moody, Peter Szolovits, Leo Anthony Celi, and Roger G Mark. 2016 · 2016
Cited alongside, same era.
BioCreative V CDR task corpus: a resource for chemical disease relation extraction
Jiao Li, Yueping Sun, Robin J Johnson, Daniela Sciaky, Chih-Hsuan Wei, Robert Leaman, Allan Peter Davis, Carolyn J Mattingly, Thomas C Wiegers, and Zhiyong Lu. 2016 · 2016
Cited alongside, same era.
Enhanced English universal dependencies: An improved representation for natural language understanding tasks
Sebastian Schuster and Christopher D Manning. 2016 · 2016
Cited alongside, same era.
Mark Neumann, Daniel King, Iz Beltagy, and Waleed Ammar. 2019 · 2019
Later among the works it cites.
Neural dependency parsing of biomedical text: TurkuNLP entry in the CRAFT structural annotation task
Thang Minh Ngo, Jenna Kanerva, Filip Ginter, and Sampo Pyysalo. 2019 · 2019
Later among the works it cites.
From POS tagging to dependency parsing for biomedical event extraction
Dat Quoc Nguyen and Karin Verspoor. 2019 · 2019
Later among the works it cites.
Cross-type biomedical named entity recognition with deep multi-task learning
Xuan Wang, Yu Zhang, Xiang Ren, Yuhao Zhang, Marinka Zitnik, Jingbo Shang, Curtis Langlotz, and Jiawei Han. 2019 · 2019
Later among the works it cites.
BioBERT: a pre-trained biomedical language representation model for biomedical text mining
Jinhyuk Lee, Wonjin Yoon, Sungdong Kim, Donghyeon Kim, Sunkyu Kim, Chan Ho So, and Jaewoo Kang. 2020 · 2020
Closest in time.
Universal dependencies v2: An evergrowing multilingual treebank collection
Joakim Nivre, Marie-Catherine de Marneffe, Filip Ginter, Jan Hajič, Christopher D. Manning, Sampo Pyysalo, Sebastian Schuster, Francis Tyers, and Daniel Zeman. 2020 · 2020
Closest in time.
Stanza: A Python natural language processing toolkit for many human languages
Peng Qi, Yuhao Zhang, Yuhui Zhang, Jason Bolton, and Christopher D. Manning. 2020 · 2020
Closest in time.