Fetching the paper…
Reading the bibliography…
Semi-supervised learning (SSL) is a widely used technique in scenarios where labeled data is scarce and unlabeled data is abundant.
Bertscore: Evaluating text generation with bert
Tianyi Zhang, Varsha Kishore, Felix Wu, Kilian Q Weinberger, and Yoav Artzi. 2019 · 1904
Earlier work this paper cites.
Distilbert, a distilled version of bert: smaller, faster, cheaper and lighter
Victor Sanh, Lysandre Debut, Julien Chaumond, and Thomas Wolf. 2019 · 1910
Earlier work this paper cites.
Automatic text summarization using unsupervised and semi-supervised learning
Massih-Reza Amini and Patrick Gallinari. 2001 · 2001
Earlier work this paper cites.
Automatic text summarization using a machine learning approach
Joel Larocca Neto, Alex A Freitas, and Celso AA Kaestner. 2002 · 2002
Earlier work this paper cites.
Lexrank: graph-based lexical centrality as salience in text summarization
Günes Erkan and Dragomir R. Radev. 2004 · 2004
Earlier work this paper cites.
ROUGE: A package for automatic evaluation of summaries
Chin-Yew Lin. 2004 · 2004
Earlier work this paper cites.
Mead-a platform for multidocument multilingual text summarization
Dragomir Radev, Timothy Allison, Sasha Blair-Goldensohn, John Blitzer, Arda Çelebi, Stanko Dimitrov, Elliott Franco Drabek, Ali Hakim, Wai Lam, Danyu Liu, et al. 2004 · 2004
Earlier work this paper cites.
Sentence fusion for multidocument news summarization
Regina Barzilay and Kathleen R McKeown. 2005 · 2005
Earlier work this paper cites.
Extractive summarization using inter-and intra-event relevance
Wenjie Li, Mingli Wu, Qin Lu, Wei Xu, and Chunfa Yuan. 2006 · 2006
Earlier work this paper cites.
Enhancing single-document summarization by combining ranknet and third-party sources
Krysta Svore, Lucy Vanderwende, and Christopher Burges. 2007 · 2007
Earlier work this paper cites.
Optimizing text summarization based on fuzzy logic
Farshad Kyoomarsi, Hamid Khosravi, Esfandiar Eslami, Pooya Khosravyan Dehkordy, and Asghar Tajoddin. 2008 · 2008
Earlier work this paper cites.
Extractive summarization using supervised and semi-supervised learning
Kam-Fai Wong, Mingli Wu, and Wenjie Li. 2008 · 2008
Earlier work this paper cites.
Sentence features fusion for text summarization using fuzzy logic
Ladda Suanmali, Mohammed Salem Binwahlan, and Naomie Salim. 2009 · 2009
Earlier work this paper cites.
Multimodal semi-supervised learning for image classification
Matthieu Guillaumin, Jakob Verbeek, and Cordelia Schmid. 2010 · 2010
Earlier work this paper cites.
Text summarization using wikipedia
Yogesh Sankarasubramaniam, Krishnan Ramanathan, and Subhankar Ghosh. 2014 · 2014
Earlier work this paper cites.
Cyclical learning rates for training neural networks. arxiv
Leslie N Smith. 2015 · 2015
Cited alongside, same era.
Multi-modal curriculum learning for semi-supervised image classification
Chen Gong, Dacheng Tao, Stephen J Maybank, Wei Liu, Guoliang Kang, and Jie Yang. 2016 · 2016
Cited alongside, same era.
Adversarial training methods for semi-supervised text classification
Takeru Miyato, Andrew M Dai, and Ian Goodfellow. 2016 · 2016
Cited alongside, same era.
Abstractive text summarization using sequence-to-sequence rnns and beyond
Ramesh Nallapati, Bowen Zhou, Cicero dos Santos, Çağlar Gu̇lçehre, and Bing Xiang. 2016 · 2016
Cited alongside, same era.
Variational autoencoder for semi-supervised text classification
Weidi Xu, Haoze Sun, Chao Deng, and Ying Tan. 2017 · 2017
Cited alongside, same era.
Self-diagnosis and self-debiasing: A proposal for reducing corpus-based bias in nlp
Timo Schick, Sahana Udupa, and Hinrich Schütze. 2021 · 2021
Later among the works it cites.
Bartscore: Evaluating generated text as text generation
Weizhe Yuan, Graham Neubig, and Pengfei Liu. 2021 · 2021
Later among the works it cites.
Data augmentation for intent classification with off-the-shelf large language models
Gaurav Sahu, Pau Rodriguez, Issam Laradji, Parmida Atighehchian, David Vazquez, and Dzmitry Bahdanau. 2022 · 2022
Later among the works it cites.
Salience allocation as guidance for abstractive summarization
Fei Wang, Kaiqiang Song, Hongming Zhang, Lifeng Jin, Sangwoo Cho, Wenlin Yao, Xiaoyang Wang, Muhao Chen, and Dong Yu. 2022a · 2022
Later among the works it cites.
Faith and fate: Limits of transformers on compositionality
Nouha Dziri, Ximing Lu, Melanie Sclar, Xiang Lorraine Li, Liwei Jian, Bill Yuchen Lin, Peter West, Chandra Bhagavatula, Ronan Le Bras, Jena D Hwang, et al. 2023 · 2023
Closest in time.
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
A discourse-aware attention model for abstractive summarization of long documents
Arman Cohan, Franck Dernoncourt, Doo Soon Kim, Trung Bui, Seokhwan Kim, Walter Chang, and Nazli Goharian. 2018 · 2018
Cited alongside, same era.
Wikihow: A large scale text summarization dataset
Mahnaz Koupaee and William Yang Wang. 2018 · 2018
Cited alongside, same era.
Bert: Pre-training of deep bidirectional transformers for language understanding
Jacob Devlin, Ming-Wei Chang, Kenton Lee, and Kristina Toutanova. 2019 · 2019
Cited alongside, same era.
Text summarization with pretrained encoders
Yang Liu and Mirella Lapata. 2019 · 2019
Cited alongside, same era.
Semi-supervised medical image classification with relation-driven self-ensembling model
Quande Liu, Lequan Yu, Luyang Luo, Qi Dou, and Pheng Ann Heng. 2020 · 2020
Cited alongside, same era.
On extractive and abstractive neural document summarization with transformer language models
Jonathan Pilault, Raymond Li, Sandeep Subramanian, and Christopher Pal. 2020 · 2020
Cited alongside, same era.
Extractive summarization as text matching
Ming Zhong, Pengfei Liu, Yiran Chen, Danqing Wang, Xipeng Qiu, and Xuan-Jing Huang. 2020 · 2020
Cited alongside, same era.
G-eval: NLG evaluation using gpt-4 with better human alignment
Yang Liu, Dan Iter, Yichong Xu, Shuohang Wang, Ruochen Xu, and Chenguang Zhu. 2023 · 2023
Closest in time.
Llm aided semi-supervision for extractive dialog summarization
Nishant Mishra, Gaurav Sahu, Iacer Calixto, Ameen Abu-Hanna, and Issam H Laradji. 2023 · 2023
Closest in time.
Gpt-4 technical report
R OpenAI. 2023 · 2023
Closest in time.
Promptmix: A class boundary augmentation method for large language model distillation
Gaurav Sahu, Olga Vechtomova, Dzmitry Bahdanau, and Issam H Laradji. 2023 · 2023
Closest in time.
Large language models as consistent story visualizers
Xiaoqian Shen and Mohamed Elhoseiny. 2023 · 2023
Closest in time.
Llama 2: Open foundation and fine-tuned chat models
Hugo Touvron, Louis Martin, Kevin Stone, Peter Albert, Amjad Almahairi, Yasmine Babaei, Nikolay Bashlykov, Soumya Batra, Prajjwal Bhargava, Shruti Bhosale, et al. 2023 · 2023
Closest in time.
xdial-eval: A multilingual open-domain dialogue evaluation benchmark
Chen Zhang, Luis D’Haro, Chengguang Tang, Ke Shi, Guohua Tang, and Haizhou Li. 2023a · 2023
Closest in time.
Self-supervised pre-training and semi-supervised learning for extractive dialog summarization
Yingying Zhuang, Jiecheng Song, Narayanan Sadagopan, and Anurag Beniwal. 2023 · 2023
Closest in time.
Abstractive long text summarization using large language models
Gunjan Keswani, Wani Bisen, Hirkani Padwad, Yash Wankhedkar, Sudhanshu Pandey, and Ayushi Soni. 2024 · 2024
Closest in time.