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[1] Mirella Lapata,et al. Unsupervised Opinion Summarization with Noising and Denoising , 2020, ACL.
[2] Jordan J. Louviere,et al. Best-Worst Scaling: Theory, Methods and Applications , 2015 .
[3] Bowen Zhou,et al. Abstractive Text Summarization using Sequence-to-sequence RNNs and Beyond , 2016, CoNLL.
[4] Maximin Coavoux,et al. Self-Supervised and Controlled Multi-Document Opinion Summarization , 2020, EACL.
[5] Song Xu,et al. Aspect-Aware Multimodal Summarization for Chinese E-Commerce Products , 2020, AAAI.
[6] Xi Chen,et al. Stacked Cross Attention for Image-Text Matching , 2018, ECCV.
[7] C.-C. Jay Kuo,et al. Unsupervised Multi-Modal Neural Machine Translation , 2018, 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
[8] Louis-Philippe Morency,et al. Multimodal Machine Learning: A Survey and Taxonomy , 2017, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[9] Chin-Yew Lin,et al. ROUGE: A Package for Automatic Evaluation of Summaries , 2004, ACL 2004.
[10] Natalia Gimelshein,et al. PyTorch: An Imperative Style, High-Performance Deep Learning Library , 2019, NeurIPS.
[11] Haoran Li,et al. Multi-modal Sentence Summarization with Modality Attention and Image Filtering , 2018, IJCAI.
[12] Rada Mihalcea,et al. TextRank: Bringing Order into Text , 2004, EMNLP.
[13] Alexander Hauptmann,et al. Unsupervised Multimodal Neural Machine Translation with Pseudo Visual Pivoting , 2020, ACL.
[14] Yu Zhou,et al. Multimodal Summarization with Guidance of Multimodal Reference , 2020, AAAI.
[15] Jian Sun,et al. Deep Residual Learning for Image Recognition , 2015, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[16] Philipp Koehn,et al. Statistical Significance Tests for Machine Translation Evaluation , 2004, EMNLP.
[17] Hai Zhuge,et al. Abstractive Text-Image Summarization Using Multi-Modal Attentional Hierarchical RNN , 2018, EMNLP.
[18] Mirella Lapata,et al. Summarizing Opinions: Aspect Extraction Meets Sentiment Prediction and They Are Both Weakly Supervised , 2018, EMNLP.
[19] Jackie Chi Kit Cheung,et al. Multi-Document Summarization of Evaluative Text , 2013, EACL.
[20] Jiawei Han,et al. Opinosis: A Graph Based Approach to Abstractive Summarization of Highly Redundant Opinions , 2010, COLING.
[21] Jimmy Ba,et al. Adam: A Method for Stochastic Optimization , 2014, ICLR.
[22] Ivan Titov,et al. Few-Shot Learning for Opinion Summarization , 2020, EMNLP.
[23] Lysandre Debut,et al. HuggingFace's Transformers: State-of-the-art Natural Language Processing , 2019, ArXiv.
[24] Dragomir R. Radev,et al. LexRank: Graph-based Lexical Centrality as Salience in Text Summarization , 2004, J. Artif. Intell. Res..
[25] Lukasz Kaiser,et al. Attention is All you Need , 2017, NIPS.
[26] Lukasz Kaiser,et al. Generating Wikipedia by Summarizing Long Sequences , 2018, ICLR.
[27] Hsin-Hsi Chen,et al. Opinion Extraction, Summarization and Tracking in News and Blog Corpora , 2006, AAAI Spring Symposium: Computational Approaches to Analyzing Weblogs.
[28] Mirella Lapata,et al. Generating Summaries with Topic Templates and Structured Convolutional Decoders , 2019, ACL.
[29] Eric Chu,et al. MeanSum: A Neural Model for Unsupervised Multi-Document Abstractive Summarization , 2018, ICML.
[30] Christopher D. Manning,et al. Get To The Point: Summarization with Pointer-Generator Networks , 2017, ACL.
[31] Yu Zhou,et al. MSMO: Multimodal Summarization with Multimodal Output , 2018, EMNLP.
[32] Robert J. Gaizauskas,et al. A Hybrid Approach to Multi-document Summarization of Opinions in Reviews , 2014, INLG.
[33] Saif Mohammad,et al. Best-Worst Scaling More Reliable than Rating Scales: A Case Study on Sentiment Intensity Annotation , 2017, ACL.
[34] Jun Wang,et al. Multi-modal Summarization for Video-containing Documents , 2020, ArXiv.
[35] Giuseppe Carenini,et al. Abstractive Summarization of Product Reviews Using Discourse Structure , 2014, EMNLP.
[36] Mirella Lapata,et al. Hierarchical Transformers for Multi-Document Summarization , 2019, ACL.
[37] Richard Socher,et al. A Deep Reinforced Model for Abstractive Summarization , 2017, ICLR.
[38] Ming-Wei Chang,et al. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding , 2019, NAACL.
[39] Quoc-Tuan Truong,et al. Multimodal Review Generation for Recommender Systems , 2019, WWW.
[40] Mirella Lapata,et al. Sentence Centrality Revisited for Unsupervised Summarization , 2019, ACL.
[41] Ivan Titov,et al. Unsupervised Opinion Summarization as Copycat-Review Generation , 2020, ACL.
[42] Renjie Zheng,et al. Multi-Reference Training with Pseudo-References for Neural Translation and Text Generation , 2018, EMNLP.
[43] Dongyan Zhao,et al. VMSMO: Learning to Generate Multimodal Summary for Video-based News Articles , 2020, EMNLP.
[44] Julian J. McAuley,et al. Ups and Downs: Modeling the Visual Evolution of Fashion Trends with One-Class Collaborative Filtering , 2016, WWW.
[45] Kilian Q. Weinberger,et al. BERTScore: Evaluating Text Generation with BERT , 2019, ICLR.
[46] James Hays,et al. Localizing and Orienting Street Views Using Overhead Imagery , 2016, ECCV.
[47] Michael J. Paul,et al. Summarizing Contrastive Viewpoints in Opinionated Text , 2010, EMNLP.
[48] Doug Downey,et al. Don’t Stop Pretraining: Adapt Language Models to Domains and Tasks , 2020, ACL.
[49] Mirella Lapata,et al. Data-to-Text Generation with Content Selection and Planning , 2018, AAAI.