| Year | Conf. | Topic | Cited | Paper | Authors | Url |
|---|---|---|---|---|---|---|
| 2019 | ACL | # arch-att, arch-copy, search-viterbi, pre-glove, task-extractive, task-seq2seq, task-relation | 2 | TalkSumm: A Dataset and Scalable Annotation Method for Scientific Paper Summarization Based on Conference Talks | Guy Lev, Michal Shmueli-Scheuer, Jonathan Herzig, Achiya Jerbi, David Konopnicki | https://www.aclweb.org/anthology/P19-1204.pdf |
| 2019 | ACL | # optim-adam, train-mll, arch-cnn, arch-att, arch-transformer, pre-skipthought, pre-bert, task-extractive, task-lm, task-seq2seq, task-cloze | 0 | Sentence Centrality Revisited for Unsupervised Summarization | Hao Zheng, Mirella Lapata | https://www.aclweb.org/anthology/P19-1628.pdf |
| 2019 | ACL | # optim-adam, train-mtl, train-transfer, arch-lstm, arch-att, arch-selfatt, arch-transformer, pre-glove, pre-bert, task-extractive, task-lm, task-context | 0 | Self-Supervised Learning for Contextualized Extractive Summarization | Hong Wang, Xin Wang, Wenhan Xiong, Mo Yu, Xiaoxiao Guo, Shiyu Chang, William Yang Wang | https://www.aclweb.org/anthology/P19-1214.pdf |
| 2019 | ACL | # train-mll, pool-max, arch-lstm, arch-att, arch-memo, nondif-reinforce, adv-train, latent-vae, task-extractive, task-lm, task-seq2seq, task-cloze, task-context | 1 | Self-Supervised Dialogue Learning | Jiawei Wu, Xin Wang, William Yang Wang | https://www.aclweb.org/anthology/P19-1375.pdf |
| 2019 | ACL | # optim-sgd, reg-dropout, norm-gradient, arch-rnn, arch-lstm, arch-att, search-beam, pre-elmo, latent-vae, task-extractive, task-lm, task-seq2seq | 1 | Simple Unsupervised Summarization by Contextual Matching | Jiawei Zhou, Alexander Rush | https://www.aclweb.org/anthology/P19-1503.pdf |
| 2019 | ACL | # optim-projection, arch-rnn, arch-gru, arch-att, arch-copy, arch-coverage, pre-glove, task-extractive, task-seq2seq | 1 | Keep Meeting Summaries on Topic: Abstractive Multi-Modal Meeting Summarization | Manling Li, Lingyu Zhang, Heng Ji, Richard J. Radke | https://www.aclweb.org/anthology/P19-1210.pdf |
| 2019 | ACL | # arch-rnn, arch-lstm, arch-bilstm, arch-att, arch-selfatt, arch-coverage, arch-transformer, task-textclass, task-extractive, task-lm, task-seq2seq | 4 | Multi-News: A Large-Scale Multi-Document Summarization Dataset and Abstractive Hierarchical Model | Alexander Fabbri, Irene Li, Tianwei She, Suyi Li, Dragomir Radev | https://www.aclweb.org/anthology/P19-1102.pdf |
| 2019 | ACL | # train-mll, pool-max, arch-lstm, arch-att, arch-copy, arch-coverage, comb-ensemble, task-textpair, task-extractive, task-seq2seq | 3 | Improving the Similarity Measure of Determinantal Point Processes for Extractive Multi-Document Summarization | Sangwoo Cho, Logan Lebanoff, Hassan Foroosh, Fei Liu | https://www.aclweb.org/anthology/P19-1098.pdf |
| 2019 | ACL | # optim-adam, arch-rnn, arch-lstm, arch-att, arch-selfatt, search-beam, pre-word2vec, pre-fasttext, pre-glove, pre-elmo, pre-bert, nondif-reinforce, task-extractive, task-lm, task-condlm, task-seq2seq, task-lexicon | 2 | Sentence Mover’s Similarity: Automatic Evaluation for Multi-Sentence Texts | Elizabeth Clark, Asli Celikyilmaz, Noah A. Smith | https://www.aclweb.org/anthology/P19-1264.pdf |
| 2019 | ACL | # optim-adam, train-mtl, arch-rnn, arch-birnn, arch-lstm, arch-att, arch-coverage, arch-transformer, comb-ensemble, search-beam, pre-bert, task-textpair, task-extractive, task-spanlab, task-lm, task-seq2seq | 4 | Answering while Summarizing: Multi-task Learning for Multi-hop QA with Evidence Extraction | Kosuke Nishida, Kyosuke Nishida, Masaaki Nagata, Atsushi Otsuka, Itsumi Saito, Hisako Asano, Junji Tomita | https://www.aclweb.org/anthology/P19-1225.pdf |
| 2019 | ACL | # optim-adam, init-glorot, reg-dropout, arch-rnn, arch-lstm, arch-cnn, arch-att, arch-selfatt, arch-memo, arch-copy, arch-coverage, arch-subword, arch-transformer, pre-word2vec, pre-elmo, pre-bert, struct-hmm, latent-vae, task-extractive, task-lm, task-seq2seq, task-cloze | 0 | HIBERT: Document Level Pre-training of Hierarchical Bidirectional Transformers for Document Summarization | Xingxing Zhang, Furu Wei, Ming Zhou | https://www.aclweb.org/anthology/P19-1499.pdf |
| 2019 | ACL | # optim-adam, reg-dropout, reg-labelsmooth, norm-layer, arch-rnn, arch-lstm, arch-bilstm, arch-gru, arch-att, arch-memo, arch-copy, arch-coverage, arch-subword, arch-transformer, task-extractive, task-seq2seq, task-tree | 1 | Keeping Notes: Conditional Natural Language Generation with a Scratchpad Encoder | Ryan Benmalek, Madian Khabsa, Suma Desu, Claire Cardie, Michele Banko | https://www.aclweb.org/anthology/P19-1407.pdf |
| 2019 | ACL | # optim-adam, reg-dropout, reg-patience, arch-rnn, arch-lstm, arch-gru, arch-att, arch-selfatt, pre-word2vec, task-textclass, task-extractive, task-lm, task-seq2seq | 11 | Is Attention Interpretable? | Sofia Serrano, Noah A. Smith | https://www.aclweb.org/anthology/P19-1282.pdf |
| 2019 | ACL | # optim-adam, norm-gradient, arch-rnn, arch-lstm, arch-cnn, arch-att, arch-copy, arch-bilinear, arch-coverage, pre-word2vec, task-extractive, task-seq2seq | 0 | This Email Could Save Your Life: Introducing the Task of Email Subject Line Generation | Rui Zhang, Joel Tetreault | https://www.aclweb.org/anthology/P19-1043.pdf |
| 2019 | ACL | # train-mtl, pool-mean, arch-rnn, arch-lstm, arch-att, arch-transformer, pre-word2vec, pre-glove, pre-bert, task-textclass, task-textpair, task-extractive, task-seq2seq | 3 | Searching for Effective Neural Extractive Summarization: What Works and What’s Next | Ming Zhong, Pengfei Liu, Danqing Wang, Xipeng Qiu, Xuanjing Huang | https://www.aclweb.org/anthology/P19-1100.pdf |
| 2019 | EMNLP | # optim-adam, pool-max, arch-rnn, arch-lstm, arch-bilstm, arch-cnn, search-beam, pre-elmo, task-extractive | 5 | Neural Extractive Text Summarization with Syntactic Compression | Jiacheng Xu, Greg Durrett | https://www.aclweb.org/anthology/D19-1324.pdf |
| 2019 | EMNLP | # train-transfer, arch-rnn, arch-att, comb-ensemble, pre-bert, task-extractive, task-lm, task-cloze | 0 | AMPERSAND: Argument Mining for PERSuAsive oNline Discussions | Tuhin Chakrabarty, Christopher Hidey, Smaranda Muresan, Kathy McKeown, Alyssa Hwang | https://www.aclweb.org/anthology/D19-1291.pdf |
| 2019 | EMNLP | # optim-adam, optim-adagrad, reg-dropout, arch-rnn, arch-birnn, arch-lstm, arch-gru, arch-cnn, arch-att, arch-bilinear, arch-coverage, search-beam, task-extractive, task-seq2seq | 0 | How to Write Summaries with Patterns? Learning towards Abstractive Summarization through Prototype Editing | Shen Gao, Xiuying Chen, Piji Li, Zhangming Chan, Dongyan Zhao, Rui Yan | https://www.aclweb.org/anthology/D19-1388.pdf |
| 2019 | EMNLP | # optim-adam, reg-dropout, arch-lstm, arch-att, arch-selfatt, arch-transformer, comb-ensemble, pre-bert, struct-crf, task-textclass, task-extractive, task-lm, task-seq2seq | 0 | Pretrained Language Models for Sequential Sentence Classification | Arman Cohan, Iz Beltagy, Daniel King, Bhavana Dalvi, Dan Weld | https://www.aclweb.org/anthology/D19-1383.pdf |
| 2019 | EMNLP | # optim-adagrad, arch-lstm, arch-bilstm, arch-att, arch-coverage, task-extractive, task-condlm, task-seq2seq | 0 | Attention Optimization for Abstractive Document Summarization | Min Gui, Junfeng Tian, Rui Wang, Zhenglu Yang | https://www.aclweb.org/anthology/D19-1117.pdf |
| 2019 | EMNLP | # optim-adam, optim-adagrad, norm-layer, pool-mean, arch-rnn, arch-lstm, arch-bilstm, arch-cnn, arch-att, arch-selfatt, arch-transformer, search-beam, pre-glove, pre-paravec, adv-train, latent-topic, task-textpair, task-extractive, task-spanlab, task-lm, task-condlm, task-seq2seq | 0 | Topic-Guided Coherence Modeling for Sentence Ordering by Preserving Global and Local Information | Byungkook Oh, Seungmin Seo, Cheolheon Shin, Eunju Jo, Kyong-Ho Lee | https://www.aclweb.org/anthology/D19-1232.pdf |
| 2019 | EMNLP | # optim-adam, arch-lstm, arch-bilstm, arch-att, arch-coverage, search-greedy, task-extractive, task-condlm, task-seq2seq | 1 | An Entity-Driven Framework for Abstractive Summarization | Eva Sharma, Luyang Huang, Zhe Hu, Lu Wang | https://www.aclweb.org/anthology/D19-1323.pdf |
| 2019 | EMNLP | # optim-adam, reg-dropout, pool-mean, arch-rnn, arch-lstm, arch-att, arch-coverage, arch-subword, nondif-reinforce, latent-vae, task-extractive, task-condlm, task-seq2seq | 0 | Select and Attend: Towards Controllable Content Selection in Text Generation | Xiaoyu Shen, Jun Suzuki, Kentaro Inui, Hui Su, Dietrich Klakow, Satoshi Sekine | https://www.aclweb.org/anthology/D19-1054.pdf |
| 2019 | EMNLP | # arch-rnn, arch-att, search-beam, latent-vae, task-extractive, task-lm, task-seq2seq | 1 | BottleSum: Unsupervised and Self-supervised Sentence Summarization using the Information Bottleneck Principle | Peter West, Ari Holtzman, Jan Buys, Yejin Choi | https://www.aclweb.org/anthology/D19-1389.pdf |
| 2019 | EMNLP | # optim-adam, norm-layer, arch-lstm, arch-bilstm, arch-att, arch-selfatt, arch-transformer, pre-word2vec, pre-elmo, pre-bert, task-textclass, task-textpair, task-extractive, task-spanlab, task-lm, task-seq2seq, task-cloze | 0 | Fine-tune BERT with Sparse Self-Attention Mechanism | Baiyun Cui, Yingming Li, Ming Chen, Zhongfei Zhang | https://www.aclweb.org/anthology/D19-1361.pdf |
| 2019 | EMNLP | # optim-adagrad, arch-rnn, arch-lstm, arch-att, arch-copy, pre-bert, nondif-reinforce, task-extractive, task-spanlab, task-lm, task-condlm, task-seq2seq | 1 | Answers Unite! Unsupervised Metrics for Reinforced Summarization Models | Thomas Scialom, Sylvain Lamprier, Benjamin Piwowarski, Jacopo Staiano | https://www.aclweb.org/anthology/D19-1320.pdf |
| 2019 | EMNLP | # optim-adam, reg-decay, norm-gradient, train-transfer, arch-rnn, arch-lstm, arch-bilstm, arch-cnn, arch-att, arch-coverage, nondif-reinforce, task-extractive, task-spanlab, task-condlm, task-seq2seq | 0 | Reading Like HER: Human Reading Inspired Extractive Summarization | Ling Luo, Xiang Ao, Yan Song, Feiyang Pan, Min Yang, Qing He | https://www.aclweb.org/anthology/D19-1300.pdf |
| 2019 | EMNLP | # reg-dropout, arch-rnn, arch-gru, arch-att, arch-selfatt, arch-coverage, search-beam, task-extractive, task-condlm, task-seq2seq | 0 | Set to Ordered Text: Generating Discharge Instructions from Medical Billing Codes | Litton J Kurisinkel, Nancy Chen | https://www.aclweb.org/anthology/D19-1638.pdf |
| 2019 | EMNLP | # optim-adam, pool-max, arch-rnn, arch-lstm, arch-att, arch-copy, arch-coverage, nondif-minrisk, nondif-reinforce, task-extractive, task-lm, task-seq2seq | 0 | Clickbait? Sensational Headline Generation with Auto-tuned Reinforcement Learning | Peng Xu, Chien-Sheng Wu, Andrea Madotto, Pascale Fung | https://www.aclweb.org/anthology/D19-1303.pdf |
| 2019 | EMNLP | # optim-projection, arch-rnn, arch-att, arch-coverage, comb-ensemble, pre-bert, task-extractive, task-seq2seq | 0 | Earlier Isn’t Always Better: Sub-aspect Analysis on Corpus and System Biases in Summarization | Taehee Jung, Dongyeop Kang, Lucas Mentch, Eduard Hovy | https://www.aclweb.org/anthology/D19-1327.pdf |
| 2019 | EMNLP | # optim-sgd, optim-adam, train-mll, train-active, arch-lstm, arch-bilstm, pre-word2vec, pre-elmo, pre-bert, task-textclass, task-textpair, task-extractive, task-condlm, task-seq2seq | 2 | MoverScore: Text Generation Evaluating with Contextualized Embeddings and Earth Mover Distance | Wei Zhao, Maxime Peyrard, Fei Liu, Yang Gao, Christian M. Meyer, Steffen Eger | https://www.aclweb.org/anthology/D19-1053.pdf |
| 2019 | EMNLP | # optim-adam, train-mtl, arch-rnn, arch-gru, arch-att, latent-topic, task-extractive, task-seq2seq | 0 | Subtopic-driven Multi-Document Summarization | Xin Zheng, Aixin Sun, Jing Li, Karthik Muthuswamy | https://www.aclweb.org/anthology/D19-1311.pdf |
| 2019 | EMNLP | # pre-glove, pre-bert, task-extractive, task-lm, task-condlm, task-seq2seq, task-tree | 1 | Counterfactual Story Reasoning and Generation | Lianhui Qin, Antoine Bosselut, Ari Holtzman, Chandra Bhagavatula, Elizabeth Clark, Yejin Choi | https://www.aclweb.org/anthology/D19-1509.pdf |
| 2019 | EMNLP | # optim-adam, arch-rnn, arch-cnn, arch-att, arch-memo, arch-copy, task-extractive, task-seq2seq | 4 | Neural Text Summarization: A Critical Evaluation | Wojciech Kryscinski, Nitish Shirish Keskar, Bryan McCann, Caiming Xiong, Richard Socher | https://www.aclweb.org/anthology/D19-1051.pdf |
| 2019 | EMNLP | # train-mtl, arch-rnn, arch-lstm, arch-gru, arch-cnn, pre-bert, task-extractive | 1 | Countering the Effects of Lead Bias in News Summarization via Multi-Stage Training and Auxiliary Losses | Matt Grenander, Yue Dong, Jackie Chi Kit Cheung, Annie Louis | https://www.aclweb.org/anthology/D19-1620.pdf |
| 2019 | EMNLP | # optim-adam, reg-dropout, reg-labelsmooth, arch-rnn, arch-cnn, arch-att, arch-selfatt, arch-copy, arch-coverage, arch-subword, arch-transformer, search-beam, pre-elmo, pre-bert, latent-vae, task-seqlab, task-extractive, task-lm, task-seq2seq, task-cloze | 6 | Text Summarization with Pretrained Encoders | Yang Liu, Mirella Lapata | https://www.aclweb.org/anthology/D19-1387.pdf |
| 2019 | EMNLP | # optim-adam, reg-dropout, reg-stopping, arch-rnn, arch-lstm, arch-gru, arch-cnn, arch-att, pre-glove, pre-bert, struct-crf, task-extractive, task-seq2seq, task-relation | 0 | Extractive Summarization of Long Documents by Combining Global and Local Context | Wen Xiao, Giuseppe Carenini | https://www.aclweb.org/anthology/D19-1298.pdf |
| 2019 | EMNLP | # optim-projection, arch-lstm, arch-gru, arch-bigru, arch-att, arch-selfatt, task-textclass, task-extractive, task-lm, task-condlm, task-seq2seq | 0 | From the Token to the Review: A Hierarchical Multimodal approach to Opinion Mining | Alexandre Garcia, Pierre Colombo, Florence d’Alché-Buc, Slim Essid, Chloé Clavel | https://www.aclweb.org/anthology/D19-1556.pdf |
| 2019 | EMNLP | # arch-rnn, arch-att, pre-bert, task-extractive, task-seq2seq | 1 | Deep Reinforcement Learning with Distributional Semantic Rewards for Abstractive Summarization | Siyao Li, Deren Lei, Pengda Qin, William Yang Wang | https://www.aclweb.org/anthology/D19-1623.pdf |
| 2019 | EMNLP | # optim-adam, arch-rnn, arch-lstm, arch-att, arch-copy, arch-coverage, search-beam, pre-glove, loss-nce, task-extractive, task-lm | 0 | Summary Cloze: A New Task for Content Selection in Topic-Focused Summarization | Daniel Deutsch, Dan Roth | https://www.aclweb.org/anthology/D19-1386.pdf |
| 2019 | NAA-CL | # optim-adam, train-mtl, arch-rnn, arch-lstm, arch-cnn, arch-att, latent-vae, task-seqlab, task-extractive, task-lm, task-seq2seq | 2 | Jointly Extracting and Compressing Documents with Summary State Representations | Afonso Mendes, Shashi Narayan, Sebastião Miranda, Zita Marinho, André F. T. Martins, Shay B. Cohen | https://www.aclweb.org/anthology/N19-1397.pdf |
| 2019 | NAA-CL | # optim-adam, init-glorot, norm-layer, arch-rnn, arch-lstm, arch-gru, arch-att, arch-selfatt, arch-transformer, task-extractive, task-seq2seq, task-relation | 4 | Single Document Summarization as Tree Induction | Yang Liu, Ivan Titov, Mirella Lapata | https://www.aclweb.org/anthology/N19-1173.pdf |
| 2019 | NAA-CL | # optim-adam, train-mtl, pool-max, arch-rnn, arch-lstm, arch-bilstm, arch-cnn, arch-att, arch-copy, arch-bilinear, arch-coverage, task-textpair, task-extractive, task-lm, task-seq2seq, task-relation | 6 | Guiding Extractive Summarization with Question-Answering Rewards | Kristjan Arumae, Fei Liu | https://www.aclweb.org/anthology/N19-1264.pdf |
| 2019 | NAA-CL | # optim-adam, optim-adagrad, arch-lstm, arch-att, arch-coverage, search-beam, task-extractive, task-seq2seq, task-tree | 4 | Question Answering as an Automatic Evaluation Metric for News Article Summarization | Matan Eyal, Tal Baumel, Michael Elhadad | https://www.aclweb.org/anthology/N19-1395.pdf |
| 2019 | NAA-CL | # optim-adam, init-glorot, reg-labelsmooth, norm-layer, pool-max, arch-rnn, arch-cnn, arch-att, arch-selfatt, arch-memo, pre-fasttext, latent-vae, task-extractive, task-seq2seq | 9 | Abstractive Summarization of Reddit Posts with Multi-level Memory Networks | Byeongchang Kim, Hyunwoo Kim, Gunhee Kim | https://www.aclweb.org/anthology/N19-1260.pdf |
| 2019 | NAA-CL | # optim-adam, arch-rnn, arch-att, latent-topic, loss-nce, task-extractive, task-seq2seq | 0 | News Article Teaser Tweets and How to Generate Them | Sanjeev Kumar Karn, Mark Buckley, Ulli Waltinger, Hinrich Schütze | https://www.aclweb.org/anthology/N19-1398.pdf |
| 2019 | NAA-CL | # optim-adam, init-glorot, reg-dropout, reg-stopping, reg-patience, reg-norm, arch-rnn, arch-lstm, arch-gru, arch-att, arch-copy, comb-ensemble, pre-glove, struct-crf, latent-topic, task-extractive | 0 | Glocal: Incorporating Global Information in Local Convolution for Keyphrase Extraction | Animesh Prasad, Min-Yen Kan | https://www.aclweb.org/anthology/N19-1182.pdf |