Fetching the paper…
Reading the bibliography…
Models for question answering, dialogue agents, and summarization often interpret the meaning of a sentence in a rich context and use that meaning in a new context.
Latent retrieval for weakly supervised open domain question answering
Kenton Lee, Ming-Wei Chang, and Kristina Toutanova. 2019 · 1906
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. 2019a · 1910
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. 2019b · 1910
Earlier work this paper cites.
Bridging
Herbert H Clark. 1975 · 1975
Earlier work this paper cites.
Logic and conversation
H. Paul Grice. 1975 · 1975
Earlier work this paper cites.
Relevance: Communication and Cognition
Dan Sperber and Deirdre Wilson. 1986 · 1986
Earlier work this paper cites.
Anaphora resolution in machine translation
Preusz Susanne, Birte Schmitz, Christa Hauenschild, and Carla Umbach. 1992 · 1992
Earlier work this paper cites.
Event coreference for information extraction
K. Humphreys, R. Gaizauskas, and Saliha Azzam. 1997 · 1997
Earlier work this paper cites.
Passage retrieval based on language models
X. Liu and W. Croft. 2002 · 2002
Earlier work this paper cites.
Revisions that improve cohesion in multi-document summaries: a preliminary study
Jahna Otterbacher, Dragomir R. Radev, and Airong Luo. 2002 · 2002
Earlier work this paper cites.
Totto: A controlled table-to-text generation dataset
Ankur P. Parikh, Xuezhi Wang, Sebastian Gehrmann, Manaal Faruqui, Bhuwan Dhingra, Diyi Yang, and Dipanjan Das. 2020 · 2004
Earlier work this paper cites.
Two uses of anaphora resolution in summarization
Josef Steinberger, Massimo Poesio, Mijail A. Kabadjov, and Karel Jeek. 2007 · 2007
Earlier work this paper cites.
Automatic evaluation of linguistic quality in multi-document summarization
Emily Pitler, Annie Louis, and Ani Nenkova. 2010 · 2010
Cited alongside, same era.
Introduction to Pragmatics , 1st edition
Betty J. Birner. 2012 · 2012
Cited alongside, same era.
Conll-2012 shared task: Modeling multilingual unrestricted coreference in ontonotes
Sameer Pradhan, Alessandro Moschitti, Nianwen Xue, Olga Uryupina, and Yuchen Zhang. 2012 · 2012
Cited alongside, same era.
Truth is a lie: Crowd truth and the seven myths of human annotation
Lora Aroyo and Chris Welty. 2015 · 2015
Cited alongside, same era.
Problems in current text simplification research: New data can help
Wei Xu, Chris Callison-Burch, and Courtney Napoles. 2015 · 2015
Cited alongside, same era.
Neural summarization by extracting sentences and words
Jianpeng Cheng and Mirella Lapata. 2016 · 2016
Lexi: A tool for adaptive, personalized text simplification
Joachim Bingel, Gustavo Paetzold, and Anders Søgaard. 2018 · 2018
Later among the works it cites.
Bert: Pre-training of deep bidirectional transformers for language understanding
Jacob Devlin, Ming-Wei Chang, Kenton Lee, and Kristina Toutanova. 2018 · 2018
Later among the works it cites.
Bridging resolution: Task definition, corpus resources and rule-based experiments
Ina Rösiger, Arndt Riester, and Jonas Kuhn. 2018 · 2018
Later among the works it cites.
Conceptual captions: A cleaned, hypernymed, image alt-text dataset for automatic image captioning
Piyush Sharma, Nan Ding, Sebastian Goodman, and Radu Soricut. 2018 · 2018
Later among the works it cites.
Multi-news: a large-scale multi-document summarization dataset and abstractive hierarchical model
Alexander R. Fabbri, Irene Li, Tianwei She, Suyi Li, and Dragomir R. Radev. 2019 · 2019
Later among the works it cites.
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
Cited alongside, same era.
Improving the annotation of sentence specificity
Junyi Jessy Li, Bridget O’Daniel, Y. Wu, W. Zhao, and A. Nenkova. 2016 · 2016
Cited alongside, same era.
Improving information extraction by acquiring external evidence with reinforcement learning
Karthik Narasimhan, Adam Yala, and Regina Barzilay. 2016 · 2016
Cited alongside, same era.
Optimizing statistical machine translation for text simplification
Wei Xu, Courtney Napoles, Ellie Pavlick, Quanze Chen, and Chris Callison-Burch. 2016 · 2016
Cited alongside, same era.
brms: An R package for Bayesian multilevel models using Stan
Paul-Christian Bürkner. 2017 · 2017
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.
Natural questions: a benchmark for question answering research
Tom Kwiatkowski, Jennimaria Palomaki, Olivia Redfield, Michael Collins, Ankur Parikh, Chris Alberti, Danielle Epstein, Illia Polosukhin, Matthew Kelcey, Jacob Devlin, Kenton Lee, Kristina N. Toutanova, Llion Jones, Ming-Wei Chang, Andrew Dai, Jakob Uszkoreit, Quoc Le, and Slav Petrov. 2019 · 2019
Later among the works it cites.
Inherent disagreements in human textual inferences
Ellie Pavlick and Tom Kwiatkowski. 2019 · 2019
Later among the works it cites.
Realm: Retrieval-augmented language model pre-training
Kelvin Guu, Kenton Lee, Zora Tung, Panupong Pasupat, and Ming-Wei Chang. 2020 · 2020
Later among the works it cites.
Leveraging passage retrieval with generative models for open domain question answering
Gautier Izacard and Edouard Grave. 2020 · 2020
Later among the works it cites.
Spanbert: Improving pre-training by representing and predicting spans
Mandar Joshi, Danqi Chen, Yinhan Liu, Daniel S. Weld, Luke Zettlemoyer, and Omer Levy. 2020 · 2020
Later among the works it cites.
Dense passage retrieval for Open-Domain question answering
V Karpukhin, B Oğuz, S Min, L Wu, S Edunov, and others. 2020 · 2020
Later among the works it cites.