AxCell: Automatic Extraction of Results from Machine Learning Papers

Table extraction using conditional random fields

David Pinto, Andrew McCallum, Xing Wei, and W. Bruce Croft. 2003 · 2003

Earlier work this paper cites.

The discipline of machine learning

Tom Mitchell. 2006 · 2006

Earlier work this paper cites.

Table extraction for answer retrieval

Original

Xing Wei, Bruce Croft, and Andrew Mccallum. 2006 · 2006

Earlier work this paper cites.

Recursive deep models for semantic compositionality over a sentiment treebank

Richard Socher, Alex Perelygin, Jean Wu, Jason Chuang, Christopher D. Manning, Andrew Ng, and Christopher Potts. 2013 · 2013

Earlier work this paper cites.

BERT: pre-training of deep bidirectional transformers for language understanding

Original

Jacob Devlin, Ming-Wei Chang, Kenton Lee, and Kristina Toutanova. 2018 · 2018

Earlier work this paper cites.

Tabvec: Table vectors for classification of web tables

Original

Majid Ghasemi-Gol and Pedro A. Szekely. 2018 · 2018

Earlier work this paper cites.

Universal language model fine-tuning for text classification

Jeremy Howard and Sebastian Ruder. 2018 · 2018

Cited alongside, same era.

Subword regularization: Improving neural network translation models with multiple subword candidates

Taku Kudo. 2018 · 2018

Cited alongside, same era.

Tracking the Progress in Natural Language Processing

Sebastian Ruder. 2018 · 2018

Cited alongside, same era.

Identification of Tasks, Datasets, Evaluation Metrics, and Numeric Scores for Scientific Leaderboards Construction

Yufang Hou, Charles Jochim, Martin Gleize, Francesca Bonin, and Debasis Ganguly. 2019 · 2019

Cited alongside, same era.

A framework for information extraction from tables in biomedical literature

Nikola Milosevic, Cassie Gregson, Robert Hernandez, and Goran Nenadic. 2019 · 2019

Cited alongside, same era.

Scispacy: Fast and robust models for biomedical natural language processing

Mark Neumann, Daniel King, Iz Beltagy, and Waleed Ammar. 2019 · 2019

Later among the works it cites.

Automated early leaderboard generation from comparative tables

Mayank Singh, Rajdeep Sarkar, Atharva Vyas, Pawan Goyal, Animesh Mukherjee, and Soumen Chakrabarti. 2019 · 2019

Later among the works it cites.

Efficientnet: Rethinking model scaling for convolutional neural networks

Mingxing Tan and Quoc V. Le. 2019 · 2019

Later among the works it cites.

Tapas: Weakly supervised table parsing via pre-training

Jonathan Herzig, Paweł Krzysztof Nowak, Thomas Müller, Francesco Piccinno, and Julian Martin Eisenschlos. 2020 · 2020

Closest in time.

fastai: A layered API for deep learning

Jeremy Howard and Sylvain Gugger. 2020 · 2020

Closest in time.