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A crucial component in the curation of KB for a scientific domain (e.g., materials science, foods & nutrition, fuels) is information extraction from tables in the domain's published research articles.
Chemdataextractor: a toolkit for automated extraction of chemical information from the scientific literature
Matthew C Swain and Jacqueline M Cole. 2016a · 1904
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Chemdataextractor: A toolkit for automated extraction of chemical information from the scientific literature
Matthew C. Swain and Jacqueline M. Cole. 2016b · 1904
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Deep graph library: A graph-centric, highly-performant package for graph neural networks
Minjie Wang, Da Zheng, Zihao Ye, Quan Gan, Mufei Li, Xiang Song, Jinjing Zhou, Chao Ma, Lingfan Yu, Yu Gai, Tianjun Xiao, Tong He, George Karypis, Jinyang Li, and Zheng Zhang. 2019 · 1909
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Dropout: A simple way to prevent neural networks from overfitting
Nitish Srivastava, Geoffrey Hinton, Alex Krizhevsky, Ilya Sutskever, and Ruslan Salakhutdinov. 2014 · 1958
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Deeptable: a permutation invariant neural network for table orientation classification
Maryam Habibi, Johannes Starlinger, and Ulf Leser. 2020 · 1983
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Information extraction from scientific articles: a survey
Zara Nasar, Syed Waqar Jaffry, and Muhammad Kamran Malik. 2018 · 1990
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Spectroscopy and thermal properties of ga2s3 based glasses
EM Marmolejo, E Granado, OL Alves, CL Cesar, and LC Barbosa. 1999 · 1999
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Local atomic order of ge–se–br glasses
Osamu Uemura, Takeshi Usuki, Masanori Inoue, Keigo Abe, Yasuo Kameda, and Masaki Sakurai. 2001 · 2001
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Optimization of dy3+-doped ge–ga–as–s–csbr glass composition and its 1.31 μ m {\mu}m emission properties
Yong Beom Shin, Chang Kuk Yang, and Jong Heo. 2002 · 2002
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X-ray absorption studies of the local strontium environments in borosilicate waste glasses
David A McKeown, Wing K Kot, and Ian L Pegg. 2003 · 2003
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Spectroscopic investigation of moo3–fe2o3–p2o5 and sro–fe2o3–p2o5 glasses. part i
A Moguš-Milanković, A Šantić, A Gajović, and DE Day. 2003 · 2003
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Structural manifestations of the mixed-alkali effect: Nmr studies of sodium rubidium borate glasses
Jan Dirk Epping, Hellmut Eckert, Árpád W Imre, and Helmut Mehrer. 2005 · 2005
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Compositional dependence of ultraviolet fluorescence intensity of ce3+ in silicate, borate, and phosphate glasses
T. Murata, M. Sato, H. Yoshida, and K. Morinaga. 2005 · 2005
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Kerr studies of several tellurite glasses
J.R. Duclère, A.A. Lipovskii, A.P. Mirgorodsky, Ph. Thomas, D.K. Tagantsev, and V.V. Zhurikhina. 2009 · 2009
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Distant supervision for relation extraction without labeled data
Mike Mintz, Steven Bills, Rion Snow, and Daniel Jurafsky. 2009 · 2009
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Annotating and searching web tables using entities, types and relationships
Girija Limaye, Sunita Sarawagi, and Soumen Chakrabarti. 2010 · 2010
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Understanding tables in context using standard nlp toolkits
Vidhya Govindaraju, Ce Zhang, and Christopher Ré. 2013 · 2013
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Commentary: The materials project: A materials genome approach to accelerating materials innovation
Anubhav Jain, Shyue Ping Ong, Geoffroy Hautier, Wei Chen, William Davidson Richards, Stephen Dacek, Shreyas Cholia, Dan Gunter, David Skinner, Gerbrand Ceder, et al. 2013 · 2013
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Influence of nax (x= i or cl) additions on ges2–ga2s3 based glasses
Antoine Brehault, Solenn Cozic, Rémi Boidin, Laurent Calvez, Eugène Bychkov, Pascal Masselin, Xianghua Zhang, and David Le Coq. 2014 · 2014
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Chemical composition and antinociceptive effect of aqueous extract from rourea induta planch. leaves in acute and chronic pain models
Milena Kalegari, Murilo Luiz Cerutti, Sérgio José Macedo-Júnior, Franciane Bobinski, Marilis Dallarmi Miguel, Véronique Eparvier, Adair Roberto Soares Santos, Didier Stien, and Obdulio Gomes Miguel. 2014 · 2014
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The structural role of tellurium dioxide in lead borophosphate glasses
Ladislav Koudelka, Ivana Rösslerová, Zdeněk Černošek, Petr Mošner, Lionel Montagne, and Bertrand Revel. 2014 · 2014
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Structural investigations and calorimetric dissolution of manganese phosphate glasses
Refka Oueslati Omrani, Saida Krimi, Jean Jacques Videau, Ismail Khattech, Abdelaziz El Jazouli, and Mohamed Jemal. 2014 · 2014
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Open-domain quantity queries on web tables: annotation, response, and consensus models
Sunita Sarawagi and Soumen Chakrabarti. 2014 · 2014
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Knowlife: a versatile approach for constructing a large knowledge graph for biomedical sciences
Patrick Ernst, Amy Siu, and Gerhard Weikum. 2015 · 2015
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Batch normalization: Accelerating deep network training by reducing internal covariate shift
Sergey Ioffe and Christian Szegedy. 2015 · 2015
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Effects of al3+, w6+, nb5+ and pb2+ on the structure and properties of borotellurite glasses
Nirmal Kaur, Atul Khanna, Marina Gónzález-Barriuso, Fernando González, and Banghao Chen. 2015 · 2015
Cited alongside, same era.
Adam: A method for stochastic optimization
Diederik P. Kingma and Jimmy Ba. 2015 · 2015
Cited alongside, same era.
Neural relation extraction on wikipedia tables for augmenting knowledge graphs
Erin Macdonald and Denilson Barbosa. 2020 · 2020
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Transformers: State-of-the-art natural language processing
Thomas Wolf, Lysandre Debut, Victor Sanh, Julien Chaumond, Clement Delangue, Anthony Moi, Pierric Cistac, Tim Rault, Rémi Louf, Morgan Funtowicz, Joe Davison, Sam Shleifer, Patrick von Platen, Clara Ma, Yacine Jernite, Julien Plu, Canwen Xu, Teven Le Scao, Sylvain Gugger, Mariama Drame, Quentin Lhoest, and Alexander M. Rush. 2020 · 2020
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TaBERT: Pretraining for joint understanding of textual and tabular data
Pengcheng Yin, Graham Neubig, Wen-tau Yih, and Sebastian Riedel. 2020 · 2020
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TabNet: Attentive interpretable tabular learning
Sercan Ö. Arik and Tomas Pfister. 2021 · 2021
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Topic transferable table question answering
Saneem A. Chemmengath, Vishwajeet Kumar, Samarth Bharadwaj, Jaydeep Sen, Mustafa Canim, Soumen Chakrabarti, Alfio Gliozzo, and Karthik Sankaranarayanan. 2021 · 2021
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George Tsatsaronis, Georgios Balikas, Prodromos Malakasiotis, Ioannis Partalas, Matthias Zschunke, Michael R. Alvers, Dirk Weissenborn, Anastasia Krithara, Sergios Petridis, Dimitris Polychronopoulos, Yannis Almirantis, John Pavlopoulos, Nicolas Baskiotis, Patrick Gallinari, Thierry Artières, Axel-Cyrille Ngonga Ngomo, Norman Heino, Éric Gaussier, Liliana Barrio-Alvers, Michael Schroeder, Ion Androutsopoulos, and Georgios Paliouras. 2015 · 2015
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Numerical relation extraction with minimal supervision
Aman Madaan, Ashish R. Mittal, Mausam, Ganesh Ramakrishnan, and Sunita Sarawagi. 2016 · 2016
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Allennlp: A deep semantic natural language processing platform
Matt Gardner, Joel Grus, Mark Neumann, Oyvind Tafjord, Pradeep Dasigi, Nelson F. Liu, Matthew Peters, Michael Schmitz, and Luke S. Zettlemoyer. 2017 · 2017
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Querying biomedical linked data with natural language questions
Thierry Hamon, Natalia Grabar, and Fleur Mougin. 2017 · 2017
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Understanding the semantic structures of tables with a hybrid deep neural network architecture
Kyosuke Nishida, Kugatsu Sadamitsu, Ryuichiro Higashinaka, and Yoshihiro Matsuo. 2017 · 2017
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Cyclical learning rates for training neural networks
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Graph Attention Networks
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Donkey milk and fermented donkey milk: are there differences in the nutritional value and physicochemical characteristics?
Natália Sufiatti de Holanda Cavalcanti, Tatiana Colombo Pimentel, Marciane Magnani, Maria Teresa Bertoldo Pacheco, Susana Paula Almeida Alves, Rui José Branquinho Bessa, Amanda Marília da Silva Sant’Ana, and Rita de Cássia Ramos do Egypto Queiroga. 2021 · 2021
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Capturing row and column semantics in transformer based question answering over tables
Michael R. Glass, Mustafa Canim, Alfio Gliozzo, Saneem A. Chemmengath, Vishwajeet Kumar, Rishav Chakravarti, Avi Sil, Feifei Pan, Samarth Bharadwaj, and Nicolas Rodolfo Fauceglia. 2021 · 2021
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Extracting a knowledge base of mechanisms from COVID-19 papers
Tom Hope, Aida Amini, David Wadden, Madeleine van Zuylen, Sravanthi Parasa, Eric Horvitz, Daniel S. Weld, Roy Schwartz, and Hannaneh Hajishirzi. 2021 · 2021
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TABBIE: pretrained representations of tabular data
Hiroshi Iida, Dung Thai, Varun Manjunatha, and Mohit Iyyer. 2021 · 2021
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Scientific language models for biomedical knowledge base completion: An empirical study
Rahul Nadkarni, David Wadden, Iz Beltagy, Noah A. Smith, Hannaneh Hajishirzi, and Tom Hope. 2021 · 2021
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Natural language inference over tables: Enabling explainable data exploration on data lakes
Mario Alberto Ramirez Orihuela, Alex Bogatu, Norman Paton, and André Freitas. 2021 · 2021
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CLTR: An end-to-end, transformer-based system for cell-level table retrieval and table question answering
Feifei Pan, Mustafa Canim, Michael Glass, Alfio Gliozzo, and Peter Fox. 2021 · 2021
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Evaluation of the nutritional value of seaweed products for broiler chickens’ nutrition
L. Stokvis, Marinus van Krimpen, René P. Kwakkel, and Paul Bikker. 2021 · 2021
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Artificial intelligence and machine learning in glass science and technology: 21 challenges for the 21st century
Vineeth Venugopal, Suresh Bishnoi, Sourabh Singh, Mohd Zaki, Hargun Singh Grover, Mathieu Bauchy, Manish Agarwal, and NM Anoop Krishnan. 2021 · 2021
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Component repair cost functions in indian context for seismic loss estimation of reinforced concrete buildings
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Effect of fuel nuclide composition on the fuel lifetime of the ritm-200 reactor unit
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MatSciBERT: A materials domain language model for text mining and information extraction
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Elucidating the influence of structure and ag+-na+ ion-exchange on crack-resistance and ionic conductivity of na3al1. 8si1. 65p1. 8o12 glass electrolyte
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XInfoTabS: evaluating multilingual tabular natural language inference
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Trans-KBLSTM: an external knowledge enhanced transformer BiLSTM model for tabular reasoning
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