Multi-Row, Multi-Span Distant Supervision For Table+Text Question

DROP: A reading comprehension benchmark requiring discrete reasoning over paragraphs

Original

Dheeru Dua, Yizhong Wang, Pradeep Dasigi, Gabriel Stanovsky, Sameer Singh, and Matt Gardner. 2019 · 1903

Earlier work this paper cites.

Robust retrieval augmented generation for zero-shot slot filling

Michael Glass, Gaetano Rossiello, Md Faisal Mahbub Chowdhury, and Alfio Gliozzo. 2021b · 1949

Earlier work this paper cites.

Solving the multiple instance problem with axis-parallel rectangles

Thomas G Dietterich, Richard H Lathrop, and Tomás Lozano-Pérez. 1997 · 1997

Earlier work this paper cites.

Support vector machines for multiple-instance learning

Stuart Andrews, Ioannis Tsochantaridis, and Thomas Hofmann. 2003 · 2003

Earlier work this paper cites.

Longformer: The long-document transformer

Original

Iz Beltagy, Matthew E. Peters, and Arman Cohan. 2020 · 2004

Earlier work this paper cites.

Big Bird: Transformers for longer sequences

Original

Manzil Zaheer, Guru Guruganesh, Kumar Avinava Dubey, Joshua Ainslie, Chris Alberti, Santiago Ontañón, Philip Pham, Anirudh Ravula, Qifan Wang, Li Yang, and Amr Ahmed. 2020 · 2007

Earlier work this paper cites.

Curriculum learning

Yoshua Bengio, Jérôme Louradour, Ronan Collobert, and Jason Weston. 2009 · 2009

Earlier work this paper cites.

Compositional semantic parsing on semi-structured tables

Original

Panupong Pasupat and Percy Liang. 2015 · 2015

Earlier work this paper cites.

Ms marco: A human generated machine reading comprehension dataset

Original

Payal Bajaj, Daniel Campos, Nick Craswell, Li Deng, Jianfeng Gao, Xiaodong Liu, Rangan Majumder, Andrew McNamara, Bhaskar Mitra, Tri Nguyen, et al. 2016 · 2016

Earlier work this paper cites.

Squad: 100, 000+ questions for machine comprehension of text

Original

Pranav Rajpurkar, Jian Zhang, Konstantin Lopyrev, and Percy Liang. 2016 · 2016

Earlier work this paper cites.

Data programming: Creating large training sets, quickly

Alexander J. Ratner, Christopher De Sa, Sen Wu, Daniel Selsam, and Christopher Ré. 2016 · 2016

Cited alongside, same era.

Triviaqa: A large scale distantly supervised challenge dataset for reading comprehension

Original

Mandar Joshi, Eunsol Choi, Daniel S. Weld, and Luke Zettlemoyer. 2017 · 2017

Cited alongside, same era.

Neural semantic parsing with type constraints for semi-structured tables

Jayant Krishnamurthy, Pradeep Dasigi, and Matt Gardner. 2017 · 2017

Cited alongside, same era.

Neural symbolic machines: Learning semantic parsers on freebase with weak supervision

Chen Liang, Jonathan Berant, Quoc Le, Kenneth Forbus, and Ni Lao. 2017 · 2017

Cited alongside, same era.

Seq2sql: Generating structured queries from natural language using reinforcement learning

Original

Victor Zhong, Caiming Xiong, and Richard Socher. 2017 · 2017

Cited alongside, same era.

Tapas: Weakly supervised table parsing via pre-training

Original

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

Later among the works it cites.

Dense passage retrieval for open-domain question answering

Vladimir Karpukhin, Barlas Oguz, Sewon Min, Patrick Lewis, Ledell Wu, Sergey Edunov, Danqi Chen, and Wen-tau Yih. 2020 · 2020

Later among the works it cites.

A simple and effective model for answering multi-span questions

Original

Elad Segal, Avia Efrat, Mor Shoham, Amir Globerson, and Jonathan Berant. 2020 · 2020

Later among the works it cites.

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

Later among the works it cites.