SciRIFF: A Resource to Enhance Language Model Instruction-Following over Scientific Literature

Medmentions: A large biomedical corpus annotated with umls concepts

Original

Sunil Mohan and Donghui Li. 2019 · 1902

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Introduction to the bio-entity recognition task at JNLPBA

Nigel Collier, Tomoko Ohta, Yoshimasa Tsuruoka, Yuka Tateisi, and Jin-Dong Kim. 2004 · 2004

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The ACL Anthology reference corpus: A reference dataset for bibliographic research in computational linguistics

Steven Bird, Robert Dale, Bonnie Dorr, Bryan Gibson, Mark Joseph, Min-Yen Kan, Dongwon Lee, Brett Powley, Dragomir Radev, and Yee Fan Tan. 2008 · 2008

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Linnaeus: A species name identification system for biomedical literature

Martin Gerner, Goran Nenadic, and Casey M. Bergman. 2010 · 2010

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The ddi corpus: An annotated corpus with pharmacological substances and drug–drug interactions

María Herrero-Zazo, Isabel Segura-Bedmar, Paloma Martínez, and Thierry Declerck. 2013 · 2013

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Ncbi disease corpus: a resource for disease name recognition and concept normalization

Rezarta Islamaj Doğan, Robert Leaman, and Zhiyong Lu. 2014 · 2014

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Anatomical entity mention recognition at literature scale

Sampo Pyysalo and Sophia Ananiadou. 2014 · 2014

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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, Roger A. Sayle, Riza Theresa Batista-Navarro, Rafal Rak, Torsten Huber, Tim Rocktäschel, Sérgio Matos, David Campos, Buzhou Tang, Hua Xu, Tsendsuren Munkhdalai, Keun Ho Ryu, S. V. Ramanan, Senthil Nathan, Slavko Žitnik, Marko Bajec, Lutz Weber, Matthias Irmer, Saber A. Akhondi, Jan A. Kors, Shuo Xu, Xin An, Utpal Kumar Sikdar, Asif Ekbal, Masaharu Yoshioka, Thaer M. Dieb, Miji Choi, Karin Verspoor, Madian Khabsa, C. Lee Giles, Hongfang Liu, Komandur Elayavilli Ravikumar, Andre Lamurias, Francisco M. Couto, Hong-Jie Dai, Richard Tzong-Han Tsai, Caglar Ata, Tolga Can, Anabel Usié, Rui Alves, Isabel Segura-Bedmar, Paloma Martínez, Julen Oyarzabal, and Alfonso Valencia. 2015 · 2015

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An overview of the bioasq large-scale biomedical semantic indexing and question answering competition

George Tsatsaronis, Georgios Balikas, Prodromos Malakasiotis, Ioannis Partalas, Matthias Zschunke, Michael R Alvers, Dirk Weissenborn, Anastasia Krithara, Sergios Petridis, Dimitris Polychronopoulos, et al. 2015 · 2015

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Gnormplus: An integrative approach for tagging genes, gene families, and protein domains

Chih-Hsuan Wei, Hung-Yu Kao, and Zhiyong Lu. 2015 · 2015

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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

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The colorado richly annotated full text (craft) corpus: Multi-model annotation in the biomedical domain

Kevin Bretonnel Cohen, Karin Verspoor, Karën Fort, Christopher Funk, Michael Bada, Martha Palmer, and Lawrence E. Hunter. 2017 · 2017

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Overview of the biocreative vi chemical-protein interaction track

Martin Krallinger, Obdulia Rabal, Saber Ahmad Akhondi, Martín Pérez Pérez, Jesus Santamaría, Gael Pérez Rodríguez, Georgios Tsatsaronis, Ander Intxaurrondo, José Antonio Baso López, Umesh K. Nandal, Erin M. van Buel, Ambika Chandrasekhar, Marleen Rodenburg, Astrid Lægreid, Marius A. Doornenbal, Julen Oyarzábal, Anália Lourenço, and Alfonso Valencia. 2017 · 2017

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A discourse-aware attention model for abstractive summarization of long documents

Arman Cohan, Franck Dernoncourt, Doo Soon Kim, Trung Bui, Seokhwan Kim, Walter Chang, and Nazli Goharian. 2018 · 2018

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Multi-task identification of entities, relations, and coreference for scientific knowledge graph construction

Yi Luan, Luheng He, Mari Ostendorf, and Hannaneh Hajishirzi. 2018 · 2018

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A corpus with multi-level annotations of patients, interventions and outcomes to support language processing for medical literature

Benjamin Nye, Junyi Jessy Li, Roma Patel, Yinfei Yang, Iain Marshall, Ani Nenkova, and Byron Wallace. 2018 · 2018

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Structural scaffolds for citation intent classification in scientific publications

Arman Cohan, Waleed Ammar, Madeleine van Zuylen, and Field Cady. 2019 · 2019

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PubMedQA: A dataset for biomedical research question answering

Qiao Jin, Bhuwan Dhingra, Zhengping Liu, William Cohen, and Xinghua Lu. 2019 · 2019

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Toward systematic review automation: a practical guide to using machine learning tools in research synthesis

Iain James Marshall and Byron C. Wallace. 2019 · 2019

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The materials science procedural text corpus: Annotating materials synthesis procedures with shallow semantic structures

Sheshera Mysore, Zachary Jensen, Edward Kim, Kevin Huang, Haw-Shiuan Chang, Emma Strubell, Jeffrey Flanigan, Andrew McCallum, and Elsa Olivetti. 2019 · 2019

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Transfer learning in biomedical natural language processing: An evaluation of bert and elmo on ten benchmarking datasets

Yifan Peng, Shankai Yan, and Zhiyong Lu. 2019 · 2019

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TLDR: Extreme summarization of scientific documents

Isabel Cachola, Kyle Lo, Arman Cohan, and Daniel Weld. 2020 · 2020

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Evidence inference 2.0: More data, better models

Jay DeYoung, Eric Lehman, Benjamin Nye, Iain Marshall, and Byron C. Wallace. 2020 · 2020

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AxCell: Automatic extraction of results from machine learning papers

Marcin Kardas, Piotr Czapla, Pontus Stenetorp, Sebastian Ruder, Sebastian Riedel, Ross Taylor, and Robert Stojnic. 2020 · 2020

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Chia, a large annotated corpus of clinical trial eligibility criteria

Fabrício Kury, Alex Butler, Chi Yuan, Li-heng Fu, Yingcheng Sun, Hao Liu, Ida Sim, Simona Carini, and Chunhua Weng. 2020 · 2020

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Multi-XScience: A large-scale dataset for extreme multi-document summarization of scientific articles

Yao Lu, Yue Dong, and Laurent Charlin. 2020 · 2020

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COVID-QA: A question answering dataset for COVID-19

Timo Möller, Anthony Reina, Raghavan Jayakumar, and Malte Pietsch. 2020 · 2020

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Fact or fiction: Verifying scientific claims

David Wadden, Shanchuan Lin, Kyle Lo, Lucy Lu Wang, Madeleine van Zuylen, Arman Cohan, and Hannaneh Hajishirzi. 2020 · 2020

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A dataset of information-seeking questions and answers anchored in research papers

Pradeep Dasigi, Kyle Lo, Iz Beltagy, Arman Cohan, Noah A. Smith, and Matt Gardner. 2021 · 2021

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MS^2: Multi-document summarization of medical studies

Jay DeYoung, Iz Beltagy, Madeleine van Zuylen, Bailey Kuehl, and Lucy Lu Wang. 2021 · 2021

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Domain-specific language model pretraining for biomedical natural language processing

Yu Gu, Robert Tinn, Hao Cheng, Michael Lucas, Naoto Usuyama, Xiaodong Liu, Tristan Naumann, Jianfeng Gao, and Hoifung Poon. 2021 · 2021

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Cross-Task Generalization via Natural Language Crowdsourcing Instructions

Original

Swaroop Mishra, Daniel Khashabi, Chitta Baral, and Hannaneh Hajishirzi. 2021 · 2021

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COVID-fact: Fact extraction and verification of real-world claims on COVID-19 pandemic

Arkadiy Saakyan, Tuhin Chakrabarty, and Smaranda Muresan. 2021 · 2021

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Evidence-based fact-checking of health-related claims

Mourad Sarrouti, Asma Ben Abacha, Yassine Mrabet, and Dina Demner-Fushman. 2021 · 2021

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Generating (factual?) narrative summaries of rcts: Experiments with neural multi-document summarization

Original

Byron C. Wallace, Sayantan Saha, Frank Soboczenski, and Iain J. Marshall. 2021 · 2021

Cited alongside, same era.

Multi-label classification for biomedical literature: an overview of the biocreative vii litcovid track for covid-19 literature topic annotations

Qingyu Chen, Alexis Allot, Robert Leaman, Rezarta Islamaj, Jingcheng Du, Li Fang, Kai Wang, Shuo Xu, Yuefu Zhang, Parsa Bagherzadeh, et al. 2022 · 2022

Cited alongside, same era.

Overview of the first shared task on multi perspective scientific document summarization (MuP)

Arman Cohan, Guy Feigenblat, Tirthankar Ghosal, and Michal Shmueli-Scheuer. 2022 · 2022

Cited alongside, same era.

Bigbio: A framework for data-centric biomedical natural language processing

Jason Fries, Leon Weber, Natasha Seelam, Gabriel Altay, Debajyoti Datta, Samuele Garda, Sunny Kang, Rosaline Su, Wojciech Kusa, Samuel Cahyawijaya, Fabio Barth, Simon Ott, Matthias Samwald, Stephen Bach, Stella Biderman, Mario Sänger, Bo Wang, Alison Callahan, Daniel León Periñán, Théo Gigant, Patrick Haller, Jenny Chim, Jose Posada, John Giorgi, Karthik Rangasai Sivaraman, Marc Pàmies, Marianna Nezhurina, Robert Martin, Michael Cullan, Moritz Freidank, Nathan Dahlberg, Shubhanshu Mishra, Shamik Bose, Nicholas Broad, Yanis Labrak, Shlok Deshmukh, Sid Kiblawi, Ayush Singh, Minh Chien Vu, Trishala Neeraj, Jonas Golde, Albert Villanova del Moral, and Benjamin Beilharz. 2022 · 2022

HoneyBee: Progressive instruction finetuning of large language models for materials science

Yu Song, Santiago Miret, Huan Zhang, and Bang Liu. 2023 · 2023

Later among the works it cites.

Clinical camel: An open-source expert-level medical language model with dialogue-based knowledge encoding

Original

Augustin Toma, Patrick R. Lawler, Jimmy Ba, Rahul G. Krishnan, Barry Rubin, and Bo Wang. 2023 · 2023

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Bioinstruct: Instruction tuning of large language models for biomedical natural language processing

Hieu Tran, Zhichao Yang, Zonghai Yao, and Hong Yu. 2023 · 2023

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DataFinder: Scientific dataset recommendation from natural language descriptions

Vijay Viswanathan, Luyu Gao, Tongshuang Wu, Pengfei Liu, and Graham Neubig. 2023 · 2023

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Academicgpt: Empowering academic research

Original

Shufa Wei, Xiaolong Xu, Xianbiao Qi, Xi Yin, Jun Xia, Jingyi Ren, Peijun Tang, Yuxiang Zhong, Yihao Chen, Xiaoqin Ren, Yuxin Liang, Liankai Huang, Kai Xie, Weikang Gui, Wei Tan, Shuanglong Sun, Yongquan Hu, Qinxian Liu, Nanjin Li, Chihao Dai, Lihua Wang, Xiaohui Liu, Lei Zhang, and Yutao Xie. 2023 · 2023