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Sub-tasks of intent classification, such as robustness to distribution shift, adaptation to specific user groups and personalization, out-of-domain detection, require extensive and flexible datasets for experiments and evaluation.
Roberta: A robustly optimized bert pretraining approach
Yinhan Liu, Myle Ott, Naman Goyal, Jingfei Du, Mandar Joshi, Danqi Chen, Omer Levy, Mike Lewis, Luke Zettlemoyer, and Veselin Stoyanov. 2019 · 1907
Earlier work this paper cites.
CTRL: A conditional transformer language model for controllable generation
Nitish Shirish Keskar, Bryan McCann, Lav R Varshney, Caiming Xiong, and Richard Socher. 2019 · 1909
Earlier work this paper cites.
SMOTE: synthetic minority over-sampling technique
Nitesh V Chawla, Kevin W Bowyer, Lawrence O Hall, and W Philip Kegelmeyer. 2002 · 2002
Earlier work this paper cites.
Developing an Open-source, Rule-based Proofreading Tool
Marcin Miłkowski. 2010 · 2010
Earlier work this paper cites.
Context Dependent Recurrent Neural Network Language Model
Tomas Mikolov and Geoffrey Zweig. 2012 · 2012
Earlier work this paper cites.
Learning Phrase Representations using RNN Encoder–Decoder for Statistical Machine Translation
Kyunghyun Cho, Bart van Merriënboer, Caglar Gulcehre, Dzmitry Bahdanau, Fethi Bougares, Holger Schwenk, and Yoshua Bengio. 2014 · 2014
Earlier work this paper cites.
Don’t Until the Final Verb Wait: Reinforcement learning for Simultaneous Machine Translation
Alvin Grissom II, He He, Jordan Boyd-Graber, John Morgan, and Hal Daumé III. 2014 · 2014
Earlier work this paper cites.
Sequence to sequence learning with neural networks
Ilya Sutskever, Oriol Vinyals, and Quoc V Le. 2014 · 2014
Earlier work this paper cites.
Adam: A method for stochastic optimization
Diederik P Kingma and Jimmy Ba. 2015 · 2015
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Emilie Colin, Claire Gardent, Yassine M’rabet, Shashi Narayan, and Laura Perez-Beltrachini. 2016 · 2016
Earlier work this paper cites.
A Diversity-Promoting Objective Function for Neural Conversation Models
Jiwei Li, Michel Galley, Chris Brockett, Jianfeng Gao, and Bill Dolan. 2016a · 2016
Earlier work this paper cites.
Deep Reinforcement Learning for Dialogue Generation
Jiwei Li, Will Monroe, Alan Ritter, Dan Jurafsky, Michel Galley, and Jianfeng Gao. 2016b · 2016
Earlier work this paper cites.
Improving Neural Machine Translation Models with Monolingual Data
Rico Sennrich, Barry Haddow, and Alexandra Birch. 2016 · 2016
Earlier work this paper cites.
Image captioning with semantic attention
Quanzeng You, Hailin Jin, Zhaowen Wang, Chen Fang, and Jiebo Luo. 2016 · 2016
Earlier work this paper cites.
Automatically Labeled Data Generation for Large Scale Event Extraction
Yubo Chen, Shulin Liu, Xiang Zhang, Kang Liu, and Jun Zhao. 2017 · 2017
Earlier work this paper cites.
Zero-shot relation extraction via reading comprehension
Omer Levy, Minjoon Seo, Eunsol Choi, and Luke Zettlemoyer. 2017 · 2017
Earlier work this paper cites.
Training end-to-end dialogue systems with the ubuntu dialogue corpus
Ryan Thomas Lowe, Nissan Pow, Iulian Vlad Serban, Laurent Charlin, Chia-Wei Liu, and Joelle Pineau. 2017 · 2017
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Summarunner: A recurrent neural network based sequence model for extractive summarization of documents
Ramesh Nallapati, Feifei Zhai, and Bowen Zhou. 2017 · 2017
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A Deep Reinforced Model for Abstractive Summarization
Romain Paulus, Caiming Xiong, and Richard Socher. 2017 · 2017
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Self-critical Sequence Training for Image Captioning
Steven J Rennie, Etienne Marcheret, Youssef Mroueh, Jerret Ross, and Vaibhava Goel. 2017 · 2017
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The code2text challenge: Text generation in source libraries
Kyle Richardson, Sina Zarrieß, and Jonas Kuhn. 2017 · 2017
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Hello, it’s gpt-2-how can i help you? towards the use of pretrained language models for task-oriented dialogue systems
Paweł Budzianowski and Ivan Vulić. 2019 · 2019
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Plug and Play Language Models: A Simple Approach to Controlled Text Generation
Sumanth Dathathri, Andrea Madotto, Janice Lan, Jane Hung, Eric Frank, Piero Molino, Jason Yosinski, and Rosanne Liu. 2019 · 2019
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Investigating Capsule Network and Semantic Feature on Hyperplanes for Text Classification
Chunning Du, Haifeng Sun, Jingyu Wang, Qi Qi, Jianxin Liao, Chun Wang, and Bing Ma. 2019 · 2019
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The Curious Case of Neural Text Degeneration
Ari Holtzman, Jan Buys, Li Du, Maxwell Forbes, and Yejin Choi. 2019 · 2019
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Comparison of Diverse Decoding Methods from Conditional Language Models
Daphne Ippolito, Reno Kriz, Maria Kustikova, João Sedoc, and Chris Callison-Burch. 2019 · 2019
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John Schulman, Filip Wolski, Prafulla Dhariwal, Alec Radford, and Oleg Klimov. 2017 · 2017
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Attention is all you need
Ashish Vaswani, Noam Shazeer, Niki Parmar, Jakob Uszkoreit, Llion Jones, Aidan N Gomez, Łukasz Kaiser, and Illia Polosukhin. 2017 · 2017
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Sentence simplification with deep reinforcement learning
Xingxing Zhang and Mirella Lapata. 2017 · 2017
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Alice Coucke, Alaa Saade, Adrien Ball, Théodore Bluche, Alexandre Caulier, David Leroy, Clément Doumouro, Thibault Gisselbrecht, Francesco Caltagirone, Thibaut Lavril, et al. 2018 · 2018
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Zero-shot question generation from knowledge graphs for unseen predicates and entity types
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Hierarchical Neural Story Generation
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Adversarial Example Generation with Syntactically Controlled Paraphrase Networks
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What is this article about? extreme summarization with topic-aware convolutional neural networks
Shashi Narayan, Shay B Cohen, and Mirella Lapata. 2019 · 2019
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Language models are unsupervised multitask learners
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EDA: Easy Data Augmentation Techniques for Boosting Performance on Text Classification Tasks
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Benchmarking zero-shot text classification: Datasets, evaluation and entailment approach
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Episode-based prototype generating network for zero-shot learning
Yunlong Yu, Zhong Ji, Zhongfei Zhang, and Jungong Han. 2019 · 2019
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BERTScore: Evaluating Text Generation with BERT
Tianyi Zhang, Varsha Kishore, Felix Wu, Kilian Q Weinberger, and Yoav Artzi. 2019 · 2019
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Few-shot nlg with pre-trained language model
Zhiyu Chen, Harini Eavani, Wenhu Chen, Yinyin Liu, and William Yang Wang. 2020 · 2020
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BART: Denoising Sequence-to-Sequence Pre-training for Natural Language Generation, Translation, and Comprehension
Mike Lewis, Yinhan Liu, Naman Goyal, Marjan Ghazvininejad, Abdelrahman Mohamed, Omer Levy, Veselin Stoyanov, and Luke Zettlemoyer. 2020 · 2020
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Towards scalable multi-domain conversational agents: The schema-guided dialogue dataset
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Textgail: Generative adversarial imitation learning for text generation
Qingyang Wu, Lei Li, and Zhou Yu. 2021 · 2021
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Pseudo siamese network for few-shot intent generation
C Xia, C Xiong, and PS Yu. 2021 · 2021
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