Fetching the paper…
Reading the bibliography…
Innovation is a major driver of economic and social development, and information about many kinds of innovation is embedded in semi-structured data from patents and patent applications.
RoBERTa: A Robustly Optimized BERT Pretraining Approach
Yinhan Liu, Myle Ott, Naman Goyal, Jingfei Du, Mandar Joshi, Danqi Chen, Omer Levy, Mike Lewis, Luke Zettlemoyer, and Veselin Stoyanov. 2019 · 1907
Earlier work this paper cites.
Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer
Colin Raffel, Noam Shazeer, Adam Roberts, Katherine Lee, Sharan Narang, Michael Matena, Yanqi Zhou, Wei Li, and Peter J Liu. 2019 · 1910
Earlier work this paper cites.
DistilBERT, a Distilled Version of BERT: Smaller, Faster, Cheaper and Lighter
Victor Sanh, Lysandre Debut, Julien Chaumond, and Thomas Wolf. 2019 · 1910
Earlier work this paper cites.
HuggingFace’s 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, et al. 2019 · 1910
Earlier work this paper cites.
A Patent Search and Classification System
Leah S Larkey. 1999 · 1999
Earlier work this paper cites.
NLTK: The Natural Language Toolkit
Steven Bird. 2006 · 2006
Earlier work this paper cites.
Big Bird: Transformers for Longer Sequences
Manzil Zaheer, Guru Guruganesh, Avinava Dubey, Joshua Ainslie, Chris Alberti, Santiago Ontanon, Philip Pham, Anirudh Ravula, Qifan Wang, Li Yang, et al. 2020 · 2007
Earlier work this paper cites.
Large-Scale Patent Classification with Min-Max Modular Support Vector Machines
Xiao-Lei Chu, Chao Ma, Jing Li, Bao-Liang Lu, Masao Utiyama, and Hitoshi Isahara. 2008 · 2008
Earlier work this paper cites.
Is the Patent Office a Rubber Stamp?
Mark A Lemley and Bhaven N Sampat. 2008 · 2008
Earlier work this paper cites.
Captum: A Unified and Generic Model Interpretability Library for PyTorch
Narine Kokhlikyan, Vivek Miglani, Miguel Martin, Edward Wang, Bilal Alsallakh, Jonathan Reynolds, Alexander Melnikov, Natalia Kliushkina, Carlos Araya, Siqi Yan, et al. 2020 · 2009
Earlier work this paper cites.
Combining Semantics and Statistics for Patent Classification
F. Derieux, M. Bobeica, Delphine Pois, and Jean-Pierre Raysz. 2010 · 2010
Earlier work this paper cites.
Scikit-learn: Machine Learning in Python
Fabian Pedregosa, Gaël Varoquaux, Alexandre Gramfort, Vincent Michel, Bertrand Thirion, Olivier Grisel, Mathieu Blondel, Peter Prettenhofer, Ron Weiss, Vincent Dubourg, et al. 2011 · 2011
Earlier work this paper cites.
CLEF-IP 2011: Retrieval in the Intellectual Property Domain
F. Piroi, M. Lupu, A. Hanbury, and V. Zenz. 2011 · 2011
Earlier work this paper cites.
The USPTO Patent Examination Research Dataset: A Window on the Process of Patent Examination
Stuart JH Graham, Alan C Marco, and Richard Miller. 2015 · 2015
Earlier work this paper cites.
Adam: A Method for Stochastic Optimization
Diederik P Kingma and Jimmy Ba. 2015 · 2015
Earlier work this paper cites.
Neural Text Generation from Structured Data with Application to the Biography Domain
Rémi Lebret, David Grangier, and Michael Auli. 2016 · 2016
Earlier work this paper cites.
Introducing the Pro Se Assistance Program
Michael Razavi. 2016 · 2016
Earlier work this paper cites.
Automated Patent Classification Using Word Embedding
Mattyws F Grawe, Claudia A Martins, and Andreia G Bonfante. 2017 · 2017
Earlier work this paper cites.
SmoothGrad: Removing Noise by Adding Noise
Daniel Smilkov, Nikhil Thorat, Been Kim, Fernanda Viégas, and Martin Wattenberg. 2017 · 2017
Earlier work this paper cites.
Axiomatic Attribution for Deep Networks
Mukund Sundararajan, Ankur Taly, and Qiqi Yan. 2017 · 2017
Earlier work this paper cites.
Supervised Approaches to Assign Cooperative Patent Classification (CPC) Codes to Patents
Tung Tran and Ramakanth Kavuluru. 2017 · 2017
Cited alongside, same era.
Attention is All You Need
Ashish Vaswani, Noam Shazeer, Niki Parmar, Jakob Uszkoreit, Llion Jones, Aidan N Gomez, Łukasz Kaiser, and Illia Polosukhin. 2017 · 2017
Cited alongside, same era.
Google Patents Public Datasets: Connecting Public, Paid, and Private Patent Data
Ian Wetherbee. 2017 · 2017
Cited alongside, same era.
Data Statements for Natural Language Processing: Toward Mitigating System Bias and Enabling Better Science
Emily M Bender and Batya Friedman. 2018 · 2018
Cited alongside, same era.
Timnit Gebru, Jamie H. Morgenstern, Briana Vecchione, Jennifer Wortman Vaughan, H. Wallach, Hal Daumé, and Kate Crawford. 2018 · 2018
Cited alongside, same era.
S2ORC: The Semantic Scholar Open Research Corpus
Kyle Lo, Lucy Lu Wang, Mark Neumann, Rodney Kinney, and Daniel Weld. 2020 · 2020
Later among the works it cites.
Patent Law: Cases, Problems, and Materials
Jonathan S Masur and Lisa Larrimore Ouellette. 2020 · 2020
Later among the works it cites.
ToTTo: A Controlled Table-To-Text Generation Dataset
Ankur Parikh, Xuezhi Wang, Sebastian Gehrmann, Manaal Faruqui, Bhuwan Dhingra, Diyi Yang, and Dipanjan Das. 2020 · 2020
Later among the works it cites.
Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer
Colin Raffel, Noam Shazeer, Adam Roberts, Katherine Lee, Sharan Narang, Michael Matena, Yanqi Zhou, Wei Li, and Peter J Liu. 2020 · 2020
Later among the works it cites.
unarXive: A Large Scholarly Data Set with Publications’ Full-Text, Annotated In-Text Citations, and Links to Metadata
Tarek Saier and Michael Färber. 2020 · 2020
Later among the works it cites.
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
Gender Differences in Obtaining and Maintaining Patent Rights
Kyle Jensen, Balázs Kovács, and Olav Sorenson. 2018 · 2018
Cited alongside, same era.
DeepPatent: Patent Classification with Convolutional Neural Networks and Word Embedding
Shaobo Li, Jie Hu, Y. Cui, and J. Hu. 2018 · 2018
Cited alongside, same era.
UMAP: Uniform Manifold Approximation and Projection for Dimension Reduction
Leland McInnes, John Healy, and James Melville. 2018 · 2018
Cited alongside, same era.
Who Becomes an Inventor in America?
Amy Motomura. 2018 · 2018
Cited alongside, same era.
Who Becomes an Inventor in America? The Importance of Exposure to Innovation
Alex Bell, Raj Chetty, Xavier Jaravel, Neviana Petkova, and John Van Reenen. 2019 · 2019
Cited alongside, same era.
The Role of Location on the Inventor Gender Gap: Women are Geographically Constrained
Mercedes Delgado, Myriam Mariani, and Fiona E Murray. 2019 · 2019
Cited alongside, same era.
BERT: Pre-Training of Deep Bidirectional Transformers for Language Understanding
Jacob Devlin, Ming-Wei Chang, Kenton Lee, and Kristina Toutanova. 2019 · 2019
Cited alongside, same era.
A Toole, N Pairolero, A Giczy, J Forman, C Pulliam, M Such, K Chaki, D Orange, A Thomas Homescu, J Frumkin, et al. 2020 · 2020
Later among the works it cites.
FY 2020 Performance and Accountability Report
USPTO. 2020 · 2020
Later among the works it cites.
U.S. Patent Statistics Chart Calendar Years 1963 - 2020
USPTO. 2021 · 2020
Later among the works it cites.
Patent Automatic Classification Based on Symmetric Hierarchical Convolution Neural Network
Huiming Zhu, Chunhui He, Yang Fang, Bin Ge, Meng Xing, and Weidong Xiao. 2020 · 2020
Later among the works it cites.
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
Later among the works it cites.
Documenting the English Colossal Clean Crawled Corpus
Jesse Dodge, Maarten Sap, Ana Marasović, William Agnew, Gabriel Ilharco, Dirk Groeneveld, and Matt Gardner. 2021 · 2021
Later among the works it cites.
Female Inventors: The Drivers of the Gender Patenting Gap
Evelina Gavrilova and Steffen Juranek. 2021 · 2021
Later among the works it cites.
The GEM Benchmark: Natural Language Generation, Its Evaluation and Metrics
Sebastian Gehrmann, Tosin Adewumi, Karmanya Aggarwal, Pawan Sasanka Ammanamanchi, Aremu Anuoluwapo, Antoine Bosselut, Khyathi Raghavi Chandu, Miruna Clinciu, Dipanjan Das, Kaustubh D Dhole, et al. 2021 · 2021
Later among the works it cites.
CUAD: An Expert-Annotated NLP Dataset for Legal Contract Review
Dan Hendrycks, Collin Burns, Anya Chen, and Spencer Ball. 2021 · 2021
Later among the works it cites.
A Survey on Deep Learning for Patent Analysis
Ralf Krestel, Renukswamy Chikkamath, Christoph Hewel, and Julian Risch. 2021 · 2021
Later among the works it cites.
Intellectual Property in the New Technological Age 2021: Vol. I Perspectives, Trade Secrets and Patents
P.S. Menell, M.A. Lemley, R.P. Merges, and S. Balganesh. 2021 · 2021
Later among the works it cites.
Controlling Text Edition by Changing Answers of Specific Questions
Lei Sha, Patrick Hohenecker, and Thomas Lukasiewicz. 2021 · 2021
Later among the works it cites.
Beyond the Top 1000 Names
US Social Security. 2021 · 2021
Later among the works it cites.
Intellectual Property Protection Lost: The Impact on Competition and Acquisitions
Utku Acikalin, Tolga Caskurlu, Gerard Hoberg, and Gordon M. Phillips. 2022 · 2022
Closest in time.