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It is often challenging to solve a complex problem from scratch, but much easier if we can access other similar problems with their solutions -- a paradigm known as case-based reasoning (CBR).
A comprehensive exploration on wikisql with table-aware word contextualization
Wonseok Hwang, Jinyeong Yim, Seunghyun Park, and Minjoon Seo. 2019 · 1902
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Dynamic memory: A theory of reminding and learning in computers and people
Roger C Schank. 1982 · 1982
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Maintaining organization in a dynamic long-term memory
Janet L Kolodner. 1983 · 1983
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Examples in legal reasoning: Legal hypotheticals
Edwina L Rissland. 1983 · 1983
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Remindings and their effects in learning a cognitive skill
Brian H Ross. 1984 · 1984
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Using fast weights to deblur old memories
Geoffrey E Hinton and David C Plaut. 1987 · 1987
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Problem solving in a natural task as a function of experience
Juliana S Lancaster and Janet L Kolodner. 1987 · 1987
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Catastrophic interference in connectionist networks: The sequential learning problem
Michael McCloskey and Neal J Cohen. 1989 · 1989
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A cognitive perspective on medical expertise: theory and implications
Henk Schmidt, Geoffrey Norman, and Henny Boshuizen. 1990 · 1990
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Case-based reasoning: Foundational issues, methodological variations, and system approaches
Agnar Aamodt and Enric Plaza. 1994 · 1994
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Mbt: A memory-based part of speech tagger-generator
Walter Daelemans, Jakub Zavrel, Peter Berck, and Steven Gillis. 1996 · 1996
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Cbr in context: The present and future
David B Leake. 1996 · 1996
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Learning to parse database queries using inductive logic programming
John M Zelle and Raymond J Mooney. 1996 · 1996
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Compositional generalization in semantic parsing: Pre-training vs. specialized architectures
Daniel Furrer, Marc van Zee, Nathan Scales, and Nathanael Schärli. 2020 · 2007
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Freebase: A collaboratively created graph database for structuring human knowledge
Kurt Bollacker, Colin Evans, Praveen Paritosh, Tim Sturge, and Jamie Taylor. 2008 · 2008
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Question and answer test-train overlap in open-domain question answering datasets
Patrick Lewis, Pontus Stenetorp, and Sebastian Riedel. 2020c · 2008
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Building watson: An overview of the deepqa project
David Ferrucci, Eric Brown, Jennifer Chu-Carroll, James Fan, David Gondek, Aditya A. Kalyanpur, Adam Lally, J. William Murdock, Eric Nyberg, John Prager, Nico Schlaefer, and Chris Welty. 2010 · 2010
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Peter Shaw, Ming-Wei Chang, Panupong Pasupat, and Kristina Toutanova. 2020 · 2010
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A three-way model for collective learning on multi-relational data
Maximilian Nickel, Volker Tresp, and Hans-Peter Kriegel. 2011 · 2011
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Semantic parsing on freebase from question-answer pairs
Jonathan Berant, Andrew Chou, Roy Frostig, and Percy Liang. 2013 · 2013
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Translating embeddings for modeling multi-relational data
Antoine Bordes, Nicolas Usunier, Alberto Garcia-Duran, Jason Weston, and Oksana Yakhnenko. 2013 · 2013
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Facc1: Freebase annotation of clueweb corpora, version 1 (release date 2013-06-26, format version 1, correction level 0)
Evgeniy Gabrilovich, Michael Ringgaard, and Amarnag Subramanya. 2013 · 2013
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Distant supervision for relation extraction with an incomplete knowledge base
Bonan Min, Ralph Grishman, Li Wan, Chang Wang, and David Gondek. 2013 · 2013
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Reasoning with neural tensor networks for knowledge base completion
Richard Socher, Danqi Chen, Christopher D Manning, and Andrew Ng. 2013 · 2013
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Kl-divergence regularized deep neural network adaptation for improved large vocabulary speech recognition
Dong Yu, Kaisheng Yao, Hang Su, Gang Li, and Frank Seide. 2013 · 2013
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Large-scale simple question answering with memory networks
Antoine Bordes, Nicolas Usunier, Sumit Chopra, and Jason Weston. 2015 · 2015
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Deep learning
Yann LeCun, Yoshua Bengio, and Geoffrey Hinton. 2015 · 2015
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Compositional semantic parsing on semi-structured tables
Panupong Pasupat and Percy Liang. 2015 · 2015
Cited alongside, same era.
Observed versus latent features for knowledge base and text inference
Kristina Toutanova and Danqi Chen. 2015 · 2015
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Neural module networks
Jacob Andreas, Marcus Rohrbach, Trevor Darrell, and Dan Klein. 2016 · 2016
Cited alongside, same era.
Deepcoder: Learning to write programs
Matej Balog, Alexander L Gaunt, Marc Brockschmidt, Sebastian Nowozin, and Daniel Tarlow. 2016 · 2016
Cited alongside, same era.
Language to logical form with neural attention
Li Dong and Mirella Lapata. 2016 · 2016
Cited alongside, same era.
Neural symbolic machines: Learning semantic parsers on freebase with weak supervision
Multi-step retriever-reader interaction for scalable open-domain question answering
Rajarshi Das, Shehzaad Dhuliawala, Manzil Zaheer, and Andrew McCallum. 2019 · 2019
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The lottery ticket hypothesis: Finding sparse, trainable neural networks
Jonathan Frankle and Michael Carbin. 2019 · 2019
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Knowledge base question answering with topic units
Yunshi Lan, Shuohang Wang, and Jing Jiang. 2019 · 2019
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Multi-hop reading comprehension through question decomposition and rescoring
Sewon Min, Victor Zhong, Luke Zettlemoyer, and Hannaneh Hajishirzi. 2019 · 2019
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Text generation with exemplar-based adaptive decoding
Hao Peng, Ankur Parikh, Manaal Faruqui, Bhuwan Dhingra, and Dipanjan Das. 2019 · 2019
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Chen Liang, Jonathan Berant, Quoc Le, Kenneth D Forbus, and Ni Lao. 2016 · 2016
Cited alongside, same era.
On generating characteristic-rich question sets for qa evaluation
Yu Su, Huan Sun, Brian Sadler, Mudhakar Srivatsa, Izzeddin Gür, Zenghui Yan, and Xifeng Yan. 2016 · 2016
Cited alongside, same era.
The value of semantic parse labeling for knowledge base question answering
Wen-tau Yih, Matthew Richardson, Christopher Meek, Ming-Wei Chang, and Jina Suh. 2016 · 2016
Cited alongside, same era.
Reading wikipedia to answer open-domain questions
Danqi Chen, Adam Fisch, Jason Weston, and Antoine Bordes. 2017 · 2017
Cited alongside, same era.
Overcoming catastrophic forgetting in neural networks
James Kirkpatrick, Razvan Pascanu, Neil Rabinowitz, Joel Veness, Guillaume Desjardins, Andrei A Rusu, Kieran Milan, John Quan, Tiago Ramalho, Agnieszka Grabska-Barwinska, et al. 2017 · 2017
Cited alongside, same era.
S3: syntax-and semantic-guided repair synthesis via programming by examples
Xuan-Bach D Le, Duc-Hiep Chu, David Lo, Claire Le Goues, and Willem Visser. 2017 · 2017
Cited alongside, same era.
Retrieve, rerank and rewrite: Soft template based neural summarization
Ziqiang Cao, Wenjie Li, Sujian Li, and Furu Wei. 2018 · 2018
Cited alongside, same era.
Matching the blanks: Distributional similarity for relation learning
Livio Baldini Soares, Nicholas FitzGerald, Jeffrey Ling, and Tom Kwiatkowski. 2019 · 2019
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Label-agnostic sequence labeling by copying nearest neighbors
Sam Wiseman and Karl Stratos. 2019 · 2019
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Synthesize, execute and debug: Learning to repair for neural program synthesis
Kavi Gupta, Peter Ebert Christensen, Xinyun Chen, and Dawn Song. 2020 · 2020
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Realm: Retrieval-augmented language model pre-training
Kelvin Guu, Kenton Lee, Zora Tung, Panupong Pasupat, and Ming-Wei Chang. 2020 · 2020
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Simple and effective retrieve-edit-rerank text generation
Nabil Hossain, Marjan Ghazvininejad, and Luke Zettlemoyer. 2020 · 2020
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Retrieve, program, repeat: complex knowledge base question answering via alternate meta-learning
Yuncheng Hua, Yuan-Fang Li, Reza Haffari, Guilin Qi, and Wei Wu. 2020 · 2020
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Dense passage retrieval for open-domain question answering
Vladimir Karpukhin, Barlas Oğuz, Sewon Min, Ledell Wu, Sergey Edunov, Danqi Chen, and Wen-tau Yih. 2020 · 2020
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Measuring compositional generalization: A comprehensive method on realistic data
Daniel Keysers, Nathanael Schärli, Nathan Scales, Hylke Buisman, Daniel Furrer, Sergii Kashubin, Nikola Momchev, Danila Sinopalnikov, Lukasz Stafiniak, Tibor Tihon, Dmitry Tsarkov, Xiao Wang, Marc van Zee, and Olivier Bousquet. 2020 · 2020
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Generalization through memorization: Nearest neighbor language models
Urvashi Khandelwal, Omer Levy, Dan Jurafsky, Luke Zettlemoyer, and Mike Lewis. 2020 · 2020
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Query graph generation for answering multi-hop complex questions from knowledge bases
Yunshi Lan and Jing Jiang. 2020 · 2020
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Efficient one-pass end-to-end entity linking for questions
Belinda Z Li, Sewon Min, Srinivasan Iyer, Yashar Mehdad, and Wen-tau Yih. 2020 · 2020
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Bridging textual and tabular data for cross-domain text-to-sql semantic parsing
Xi Victoria Lin, Richard Socher, and Caiming Xiong. 2020 · 2020
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Unsupervised question decomposition for question answering
Ethan Perez, Patrick Lewis, Wen-tau Yih, Kyunghyun Cho, and Douwe Kiela. 2020 · 2020
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Generative language modeling for automated theorem proving
Stanislas Polu and Ilya Sutskever. 2020 · 2020
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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
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Improving multi-hop question answering over knowledge graphs using knowledge base embeddings
Apoorv Saxena, Aditay Tripathi, and Partha Talukdar. 2020 · 2020
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Exploring unexplored generalization challenges for cross-database semantic parsing
Alane Suhr, Ming-Wei Chang, Peter Shaw, and Kenton Lee. 2020 · 2020
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RAT-SQL: Relation-aware schema encoding and linking for text-to-SQL parsers
Bailin Wang, Richard Shin, Xiaodong Liu, Oleksandr Polozov, and Matthew Richardson. 2020 · 2020
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Break it down: A question understanding benchmark
Tomer Wolfson, Mor Geva, Ankit Gupta, Yoav Goldberg, Matt Gardner, Daniel Deutch, and Jonathan Berant. 2020 · 2020
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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 · 2020
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Nearest neighbor machine translation
Urvashi Khandelwal, Angela Fan, Dan Jurafsky, Luke Zettlemoyer, and Mike Lewis. 2021 · 2021
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