| Year | Conf. | Topic | Cited | Paper | Authors | Url |
|---|---|---|---|---|---|---|
| 2019 | EMNLP | # optim-adam, pool-mean, arch-rnn, arch-lstm, arch-att, search-greedy, search-beam, pre-use | 0 | Bias and Fairness in Natural Language Processing | Kai-Wei Chang, Vinod Prabhakaran, Vicente Ordonez | https://www.aclweb.org/anthology/D19-1682.pdf |
| 2019 | EMNLP | # optim-adam, pool-mean, arch-rnn, arch-lstm, arch-att, search-greedy, search-beam, pre-use | 74 | Semantic Specialization of Distributional Word Vectors | Goran Glavaś, Edoardo Maria Ponti, Ivan Vulić | https://www.aclweb.org/anthology/D19-1682.pdf |
| 2019 | EMNLP | # optim-adam, pool-mean, arch-rnn, arch-lstm, arch-att, search-greedy, search-beam, pre-use | 0 | Context-Aware Conversation Thread Detection in Multi-Party Chat | Ming Tan, Dakuo Wang, Yupeng Gao, Haoyu Wang, Saloni Potdar, Xiaoxiao Guo, Shiyu Chang, Mo Yu | https://www.aclweb.org/anthology/D19-1682.pdf |
| 2019 | EMNLP | # optim-adam, pool-mean, arch-rnn, arch-lstm, arch-att, search-greedy, search-beam, pre-use | 1 | , abs | https://www.aclweb.org/anthology/D19-1682.pdf | |
| 2019 | EMNLP | # optim-adam, pool-mean, arch-rnn, arch-lstm, arch-att, search-greedy, search-beam, pre-use | 0 | Dive into Deep Learning for Natural Language Processing | Haibin Lin, Xingjian Shi, Leonard Lausen, Aston Zhang, He He, Sheng Zha, Alexander Smola | https://www.aclweb.org/anthology/D19-1682.pdf |
| 2019 | EMNLP | # arch-att, pre-use, latent-vae, latent-topic | 0 | Leveraging Structural and Semantic Correspondence for Attribute-Oriented Aspect Sentiment Discovery | Zhe Zhang, Munindar Singh | https://www.aclweb.org/anthology/D19-1555.pdf |
| 2019 | EMNLP | # optim-adam, pool-mean, arch-rnn, arch-lstm, arch-att, search-greedy, search-beam, pre-use | 0 | Data Collection and End-to-End Learning for Conversational AI | Tsung-Hsien Wen, Pei-Hao Su, Paweł Budzianowski, Iñigo Casanueva, Ivan Vulić | https://www.aclweb.org/anthology/D19-1682.pdf |
| 2019 | EMNLP | # optim-adam, pool-mean, arch-rnn, arch-lstm, arch-att, search-greedy, search-beam, pre-use | 1 | , abs | https://www.aclweb.org/anthology/D19-1682.pdf | |
| 2019 | EMNLP | # arch-lstm, arch-bilstm, arch-att, arch-coverage, pre-word2vec, pre-elmo, pre-use, task-textclass, task-textpair, task-seq2seq | 0 | The Feasibility of Embedding Based Automatic Evaluation for Single Document Summarization | Simeng Sun, Ani Nenkova | https://www.aclweb.org/anthology/D19-1116.pdf |
| 2019 | EMNLP | # optim-adam, pool-mean, arch-rnn, arch-lstm, arch-att, search-greedy, search-beam, pre-use | 0 | Discreteness in Neural Natural Language Processing | Lili Mou, Hao Zhou, Lei Li | https://www.aclweb.org/anthology/D19-1682.pdf |
| 2019 | EMNLP | # optim-adam, pool-mean, arch-rnn, arch-lstm, arch-att, search-greedy, search-beam, pre-use | 49 | bib (full) | https://www.aclweb.org/anthology/D19-1682.pdf | |
| 2019 | EMNLP | # optim-adam, pool-mean, arch-rnn, arch-lstm, arch-att, search-greedy, search-beam, pre-use | 0 | Processing and Understanding Mixed Language Data | Monojit Choudhury, Anirudh Srinivasan, Sandipan Dandapat | https://www.aclweb.org/anthology/D19-1682.pdf |
| 2019 | EMNLP | # optim-adam, pool-mean, arch-rnn, arch-lstm, arch-att, search-greedy, search-beam, pre-use | 1 | , abs | https://www.aclweb.org/anthology/D19-1682.pdf | |
| 2019 | EMNLP | # optim-adam, pool-mean, arch-rnn, arch-lstm, arch-att, search-greedy, search-beam, pre-use | 1 | , abs | https://www.aclweb.org/anthology/D19-1682.pdf | |
| 2019 | EMNLP | # optim-adam, pool-mean, arch-rnn, arch-lstm, arch-att, search-greedy, search-beam, pre-use | 1 | , abs | https://www.aclweb.org/anthology/D19-1682.pdf | |
| 2019 | EMNLP | # optim-sgd, optim-adam, reg-dropout, train-transfer, arch-rnn, arch-lstm, arch-att, pre-glove, pre-skipthought, pre-elmo, pre-use, adv-train, task-textpair, task-seqlab, task-lm, task-seq2seq | 0 | IMaT: Unsupervised Text Attribute Transfer via Iterative Matching and Translation | Zhijing Jin, Di Jin, Jonas Mueller, Nicholas Matthews, Enrico Santus | https://www.aclweb.org/anthology/D19-1306.pdf |
| 2019 | EMNLP | # optim-adam, reg-dropout, train-transfer, train-augment, arch-rnn, arch-gru, arch-att, arch-selfatt, arch-transformer, pre-bert, pre-use, task-textpair, task-lm, task-seq2seq, task-relation | 0 | Keep Calm and Switch On! Preserving Sentiment and Fluency in Semantic Text Exchange | Steven Y. Feng, Aaron W. Li, Jesse Hoey | https://www.aclweb.org/anthology/D19-1272.pdf |
| 2019 | EMNLP | # optim-adam, reg-dropout, norm-batch, arch-rnn, arch-lstm, arch-cnn, arch-att, arch-transformer, pre-fasttext, pre-glove, pre-use, task-textclass, task-textpair, task-lm, task-condlm, task-seq2seq | 0 | Semantic Relatedness Based Re-ranker for Text Spotting | Ahmed Sabir, Francesc Moreno, Lluís Padró | https://www.aclweb.org/anthology/D19-1346.pdf |
| 2019 | EMNLP | # optim-adam, pool-mean, arch-rnn, arch-lstm, arch-att, search-greedy, search-beam, pre-use | 0 | Graph-based Deep Learning in Natural Language Processing | Shikhar Vashishth, Naganand Yadati, Partha Talukdar | https://www.aclweb.org/anthology/D19-1682.pdf |
| 2019 | EMNLP | # optim-adam, pool-mean, arch-rnn, arch-lstm, arch-att, search-greedy, search-beam, pre-use | 1 | , abs | https://www.aclweb.org/anthology/D19-1682.pdf | |
| 2019 | EMNLP | # optim-adam, pool-mean, arch-rnn, arch-lstm, arch-att, search-greedy, search-beam, pre-use | 1 | , abs | https://www.aclweb.org/anthology/D19-1682.pdf | |
| 2019 | EMNLP | # optim-adam, train-transfer, pool-max, arch-lstm, arch-bilstm, arch-att, arch-transformer, pre-glove, pre-skipthought, pre-bert, pre-use, loss-triplet, task-textpair | 5 | Sentence-BERT: Sentence Embeddings using Siamese BERT-Networks | Nils Reimers, Iryna Gurevych | https://www.aclweb.org/anthology/D19-1410.pdf |
| 2019 | EMNLP | # optim-projection, train-mll, train-transfer, arch-lstm, arch-att, arch-coverage, arch-subword, arch-transformer, comb-ensemble, pre-word2vec, pre-fasttext, pre-glove, pre-skipthought, pre-elmo, pre-bert, pre-use, adv-train, loss-cca, task-textclass, task-textpair, task-lm, task-seq2seq, task-cloze | 0 | Multi-View Domain Adapted Sentence Embeddings for Low-Resource Unsupervised Duplicate Question Detection | Nina Poerner, Hinrich Schütze | https://www.aclweb.org/anthology/D19-1173.pdf |
| 2019 | NAA-CL | # optim-adam, train-mtl, train-mll, arch-att, arch-subword, arch-transformer, pre-word2vec, pre-fasttext, pre-glove, pre-elmo, pre-use, latent-vae, task-textclass, task-textpair, task-seq2seq | 2 | Correlation Coefficients and Semantic Textual Similarity | Vitalii Zhelezniak, Aleksandar Savkov, April Shen, Nils Hammerla | https://www.aclweb.org/anthology/N19-1100.pdf |
| 2019 | NAA-CL | # arch-rnn, arch-lstm, arch-bilstm, arch-treelstm, arch-att, arch-coverage, arch-transformer, pre-word2vec, pre-elmo, pre-bert, pre-use, task-textpair, task-seq2seq, task-tree | 4 | Evaluating Coherence in Dialogue Systems using Entailment | Nouha Dziri, Ehsan Kamalloo, Kory Mathewson, Osmar Zaiane | https://www.aclweb.org/anthology/N19-1381.pdf |
| 2019 | NAA-CL | # arch-lstm, arch-att, arch-coverage, pre-fasttext, pre-glove, pre-elmo, pre-use, task-textclass, task-relation, task-tree | 0 | Outlier Detection for Improved Data Quality and Diversity in Dialog Systems | Stefan Larson, Anish Mahendran, Andrew Lee, Jonathan K. Kummerfeld, Parker Hill, Michael A. Laurenzano, Johann Hauswald, Lingjia Tang, Jason Mars | https://www.aclweb.org/anthology/N19-1051.pdf |
| 2019 | NAA-CL | # arch-att, arch-coverage, arch-subword, pre-fasttext, pre-glove, pre-skipthought, pre-use, task-textpair | 0 | Evaluating Composition Models for Verb Phrase Elliptical Sentence Embeddings | Gijs Wijnholds, Mehrnoosh Sadrzadeh | https://www.aclweb.org/anthology/N19-1023.pdf |
| 2019 | NAA-CL | # train-mll, train-active, arch-att, pre-fasttext, pre-use, task-textclass, task-textpair, task-lm, task-seq2seq | 0 | A Study of Incorrect Paraphrases in Crowdsourced User Utterances | Mohammad-Ali Yaghoub-Zadeh-Fard, Boualem Benatallah, Moshe Chai Barukh, Shayan Zamanirad | https://www.aclweb.org/anthology/N19-1026.pdf |