Fetching the paper…
Reading the bibliography…
Factual correctness is often the limiting factor in practical applications of natural language generation in high-stakes domains such as healthcare.
Mike Lewis, Yinhan Liu, Naman Goyal, Marjan Ghazvininejad, Abdelrahman Mohamed, Omer Levy, Ves Stoyanov, and Luke Zettlemoyer. 2019 · 1910
Earlier work this paper cites.
Viraj Prabhu, Anitha Kannan, Geoffrey J. Tso, Namit Katariya, Manish Chablani, David A. Sontag, and Xavier Amatriain. 2019 · 1910
Earlier work this paper cites.
Dict-BERT: Enhancing language model pre-training with dictionary
Wenhao Yu, Chenguang Zhu, Yuwei Fang, Donghan Yu, Shuohang Wang, Yichong Xu, Michael Zeng, and Meng Jiang. 2022 · 1918
Earlier work this paper cites.
Dropout: A simple way to prevent neural networks from overfitting
Nitish Srivastava, Geoffrey Hinton, Alex Krizhevsky, Ilya Sutskever, and Ruslan Salakhutdinov. 2014 · 1958
Earlier work this paper cites.
The Unified Medical Language System (UMLS): Integrating biomedical terminology
Olivier Bodenreider. 2004 · 2004
Earlier work this paper cites.
Ali Mottaghi, Prathusha K. Sarma, Xavier Amatriain, Serena Yeung, and Anitha Kannan. 2020 · 2011
Earlier work this paper cites.
Addressing the rare word problem in neural machine translation
Thang Luong, Ilya Sutskever, Quoc V. Le, Oriol Vinyals, and Wojciech Zaremba. 2014 · 2014
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 machine translation of rare words with subword units
Rico Sennrich, Barry Haddow, and Alexandra Birch. 2016 · 2016
Earlier work this paper cites.
Fasttext.zip: Compressing text classification models
Armand Joulin, Edouard Grave, Piotr Bojanowski, Matthijs Douze, Hérve Jégou, and Tomas Mikolov. 2016 · 2016
Earlier work this paper cites.
Lexically constrained decoding for sequence generation using grid beam search
Chris Hokamp and Qun Liu. 2017 · 2017
Earlier work this paper cites.
Get to the point: Summarization with pointer-generator networks
Abigail See, Peter J. Liu, and Christopher D. Manning. 2017 · 2017
Earlier work this paper cites.
spaCy 2: Natural language understanding with Bloom embeddings, convolutional neural networks and incremental parsing
Matthew Honnibal and Ines Montani. 2017 · 2017
Earlier work this paper cites.
Bottom-up abstractive summarization
Sebastian Gehrmann, Yuntian Deng, and Alexander Rush. 2018 · 2018
Earlier work this paper cites.
Scaling neural machine translation
Myle Ott, Sergey Edunov, David Grangier, and Michael Auli. 2018 · 2018
Cited alongside, same era.
Fast lexically constrained decoding with dynamic beam allocation for neural machine translation
Matt Post and David Vilar. 2018 · 2018
Cited alongside, same era.
Ctrl: A conditional transformer language model for controllable generation
Nitish Shirish Keskar, Bryan McCann, Lav R. Varshney, Caiming Xiong, and Richard Socher. 2019 · 2019
Cited alongside, same era.
fairseq: A fast, extensible toolkit for sequence modeling
Myle Ott, Sergey Edunov, Alexei Baevski, Angela Fan, Sam Gross, Nathan Ng, David Grangier, and Michael Auli. 2019 · 2019
Cited alongside, same era.
Neural text generation with unlikelihood training
Sean Welleck, Ilia Kulikov, Stephen Roller, Emily Dinan, Kyunghyun Cho, and Jason Weston. 2019 · 2019
Cited alongside, same era.
Bertscore: Evaluating text generation with bert
Medically aware gpt-3 as a data generator for medical dialogue summarization
Jai Chintagunta, Namit Katariya, Xavier Amatriain, and Anitha Kannan. 2021 · 2021
Later among the works it cites.
Sanghyuk Choi, Jeong-In Hwang, Hyungjong Noh, and Yeonsoo Lee. 2021 · 2021
Later among the works it cites.
Medcod: A medically-accurate, emotive, diverse, and controllable dialog system
Rhys Compton, Ilya Valmianski, Li Deng, Costa Huang, Namit Katariya, Xavier Amatriain, and Anitha Kannan. 2021 · 2021
Later among the works it cites.
A survey of natural language generation
Chenhe Dong, Yinghui Li, Haifan Gong, Miaoxin Chen, Junxin Li, Ying Shen, and Min Yang. 2021 · 2021
Later among the works it cites.
Characterizing and addressing the issue of oversmoothing in neural autoregressive sequence modeling
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
Tianyi Zhang, Varsha Kishore, Felix Wu, Kilian Q. Weinberger, and Yoav Artzi. 2019 · 2019
Cited alongside, same era.
Billion-scale similarity search with GPUs
Jeff Johnson, Matthijs Douze, and Hervé Jégou. 2019 · 2019
Cited alongside, same era.
Pre-train and plug-in: Flexible conditional text generation with variational auto-encoders
Yu Duan, Canwen Xu, Jiaxin Pei, Jialong Han, and Chenliang Li. 2020 · 2020
Cited alongside, same era.
The curious case of neural text degeneration
Ari Holtzman, Jan Buys, Li Du, Maxwell Forbes, and Yejin Choi. 2020 · 2020
Cited alongside, same era.
Dr. summarize: Global summarization of medical dialogue by exploiting local structures
Anirudh Joshi, Namit Katariya, Xavier Amatriain, and Anitha Kannan. 2020 · 2020
Cited alongside, same era.
Generating soap notes from doctor-patient conversations
Kundan Krishna, Sopan Khosla, Jeffrey P. Bigham, and Zachary C. Lipton. 2020 · 2020
Cited alongside, same era.
Self-attention guided copy mechanism for abstractive summarization
Song Xu, Haoran Li, Peng Yuan, Youzheng Wu, Xiaodong He, and Bowen Zhou. 2020 · 2020
Cited alongside, same era.
Ilia Kulikov, Maksim Eremeev, and Kyunghyun Cho. 2021 · 2021
Later among the works it cites.
Controllable neural dialogue summarization with personal named entity planning
Zhengyuan Liu and Nancy Chen. 2021 · 2021
Later among the works it cites.
Language model evaluation in open-ended text generation
An Nguyen. 2021 · 2021
Later among the works it cites.
Mathbert: A pre-trained language model for general NLP tasks in mathematics education
Jia Tracy Shen, Michiharu Yamashita, Ethan Prihar, Neil T. Heffernan, Xintao Wu, and Dongwon Lee. 2021 · 2021
Later among the works it cites.
Smarttriage: A system for personalized patient data capture, documentation generation, and decision support
Ilya Valmianski, Nave Frost, Navdeep Sood, Yang Wang, Baodong Liu, James J. Zhu, Sunil Karumuri, Ian M. Finn, and Daniel S. Zisook. 2021 · 2021
Later among the works it cites.
End-to-end conversational search for online shopping with utterance transfer
Liqiang Xiao, Jun Ma, Xin Luna Dong, Pascual Martínez-Gómez, Nasser Zalmout, Wei Chen, Tong Zhao, Hao He, and Yaohui Jin. 2021 · 2021
Later among the works it cites.
Improving the factual accuracy of abstractive clinical text summarization using multi-objective optimization
Amanuel Alambo, Tanvi Banerjee, Krishnaprasad Thirunarayan, and Mia Cajita. 2022 · 2022
Later among the works it cites.
Neural natural language generation: A survey on multilinguality, multimodality, controllability and learning
Erkut Erdem, Menekse Kuyu, Semih Yagcioglu, Anette Frank, Letitia Parcalabescu, Barbara Plank, Andrii Babii, Oleksii Turuta, Aykut Erdem, Iacer Calixto, Elena Lloret, Elena-Simona Apostol, Ciprian-Octavian Truică, Branislava Šandrih, Sanda Martinčić-Ipšić, Gábor Berend, Albert Gatt, and Grăzina Korvel. 2022 · 2022
Later among the works it cites.
Psp: Pre-trained soft prompts for few-shot abstractive summarization
Xiaochen Liu, Yu Bai, Jiawei Li, Yinan Hu, and Yang Gao. 2022 · 2022
Later among the works it cites.
Lacking the embedding of a word? look it up into a traditional dictionary
Elena Sofia Ruzzetti, Leonardo Ranaldi, Michele Mastromattei, Francesca Fallucchi, Noemi Scarpato, and Fabio Massimo Zanzotto. 2022 · 2022
Later among the works it cites.