| Year | Conf. | Topic | Cited | Paper | Authors | Url |
|---|---|---|---|---|---|---|
| 2019 | ACL | # optim-adam, optim-projection, train-mll, pool-max, arch-lstm, arch-coverage, arch-subword, pre-fasttext, loss-cca, loss-svd, task-textpair, task-lm, task-seq2seq, task-lexicon | 29 | How to (Properly) Evaluate Cross-Lingual Word Embeddings: On Strong Baselines, Comparative Analyses, and Some Misconceptions | Goran Glavaš, Robert Litschko, Sebastian Ruder, Ivan Vulić | https://www.aclweb.org/anthology/P19-1070.pdf |
| 2019 | ACL | # optim-projection, arch-coverage, pre-word2vec, pre-glove, pre-bert, latent-vae, latent-topic, loss-cca, loss-svd, task-textclass | 0 | Word2Sense: Sparse Interpretable Word Embeddings | Abhishek Panigrahi, Harsha Vardhan Simhadri, Chiranjib Bhattacharyya | https://www.aclweb.org/anthology/P19-1570.pdf |
| 2019 | ACL | # arch-rnn, arch-lstm, arch-att, pre-glove, loss-cca, task-seq2seq | 0 | Exploring Author Context for Detecting Intended vs Perceived Sarcasm | Silviu Oprea, Walid Magdy | https://www.aclweb.org/anthology/P19-1275.pdf |
| 2019 | ACL | # optim-adam, reg-dropout, norm-batch, norm-gradient, train-transfer, pool-mean, arch-lstm, arch-bilstm, arch-att, arch-memo, comb-ensemble, pre-elmo, loss-cca, task-lm, task-seq2seq, task-alignment | 1 | Multimodal and Multi-view Models for Emotion Recognition | Gustavo Aguilar, Viktor Rozgic, Weiran Wang, Chao Wang | https://www.aclweb.org/anthology/P19-1095.pdf |
| 2019 | ACL | # init-glorot, reg-dropout, train-transfer, arch-att, pre-elmo, loss-cca, task-seq2seq | 2 | Fine-Grained Temporal Relation Extraction | Siddharth Vashishtha, Benjamin Van Durme, Aaron Steven White | https://www.aclweb.org/anthology/P19-1280.pdf |
| 2019 | EMNLP | # train-mll, arch-transformer, comb-ensemble, pre-fasttext, pre-bert, adv-train, loss-cca, loss-svd, task-seq2seq, task-relation, task-lexicon | 1 | Weakly-Supervised Concept-based Adversarial Learning for Cross-lingual Word Embeddings | Haozhou Wang, James Henderson, Paola Merlo | https://www.aclweb.org/anthology/D19-1450.pdf |
| 2019 | EMNLP | # optim-adam, optim-projection, train-mll, train-transfer, pool-mean, arch-att, arch-transformer, pre-fasttext, pre-bert, loss-cca, task-spanlab, task-lm, task-seq2seq, task-lexicon | 0 | Zero-shot Reading Comprehension by Cross-lingual Transfer Learning with Multi-lingual Language Representation Model | Tsung-Yuan Hsu, Chi-Liang Liu, Hung-yi Lee | https://www.aclweb.org/anthology/D19-1607.pdf |
| 2019 | EMNLP | # optim-adam, init-glorot, reg-dropout, arch-rnn, arch-lstm, arch-gru, arch-att, arch-selfatt, arch-memo, arch-bilinear, pre-glove, struct-crf, loss-cca, task-seqlab, task-condlm, task-seq2seq, task-relation | 0 | Partners in Crime: Multi-view Sequential Inference for Movie Understanding | Nikos Papasarantopoulos, Lea Frermann, Mirella Lapata, Shay B. Cohen | https://www.aclweb.org/anthology/D19-1212.pdf |
| 2019 | EMNLP | # optim-projection, arch-subword, pre-fasttext, loss-cca, loss-svd | 0 | Quantifying the Semantic Core of Gender Systems | Adina Williams, Damian Blasi, Lawrence Wolf-Sonkin, Hanna Wallach, Ryan Cotterell | https://www.aclweb.org/anthology/D19-1577.pdf |
| 2019 | EMNLP | # optim-adam, train-mll, arch-rnn, arch-lstm, arch-bilstm, pre-glove, pre-bert, loss-cca, task-seq2seq | 0 | Dialog Intent Induction with Deep Multi-View Clustering | Hugh Perkins, Yi Yang | https://www.aclweb.org/anthology/D19-1413.pdf |
| 2019 | EMNLP | # optim-adam, optim-projection, reg-dropout, reg-worddropout, arch-rnn, arch-lstm, arch-cnn, arch-att, arch-selfatt, arch-subword, arch-transformer, pre-bert, loss-cca, task-lm, task-seq2seq, task-cloze | 1 | The Bottom-up Evolution of Representations in the Transformer: A Study with Machine Translation and Language Modeling Objectives | Elena Voita, Rico Sennrich, Ivan Titov | https://www.aclweb.org/anthology/D19-1448.pdf |
| 2019 | EMNLP | # optim-adam, reg-dropout, train-mtl, arch-lstm, arch-gru, arch-bigru, arch-cnn, arch-att, arch-selfatt, loss-cca, task-seq2seq | 0 | Context-aware Interactive Attention for Multi-modal Sentiment and Emotion Analysis | Dushyant Singh Chauhan, Md Shad Akhtar, Asif Ekbal, Pushpak Bhattacharyya | https://www.aclweb.org/anthology/D19-1566.pdf |
| 2019 | EMNLP | # optim-adam, train-mll, train-transfer, arch-att, arch-subword, arch-transformer, pre-bert, loss-cca, loss-svd, task-lm, task-seq2seq | 4 | Investigating Multilingual NMT Representations at Scale | Sneha Kudugunta, Ankur Bapna, Isaac Caswell, Orhan Firat | https://www.aclweb.org/anthology/D19-1167.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-sgd, optim-adam, optim-projection, reg-dropout, arch-rnn, arch-lstm, pre-elmo, loss-cca, loss-svd, task-seqlab, task-lm, task-seq2seq | 13 | Understanding Learning Dynamics Of Language Models with SVCCA | Naomi Saphra, Adam Lopez | https://www.aclweb.org/anthology/N19-1329.pdf |
| 2019 | NAA-CL | # pool-mean, arch-lstm, arch-cnn, arch-att, arch-selfatt, comb-ensemble, pre-fasttext, pre-glove, struct-crf, loss-cca, loss-margin, task-textclass | 1 | Ranking-Based Autoencoder for Extreme Multi-label Classification | Bingyu Wang, Li Chen, Wei Sun, Kechen Qin, Kefeng Li, Hui Zhou | https://www.aclweb.org/anthology/N19-1289.pdf |
| 2019 | NAA-CL | # optim-projection, reg-patience, train-mll, arch-lstm, arch-att, pre-fasttext, adv-train, loss-cca, loss-svd, task-seq2seq, task-relation, task-lexicon, task-alignment | 3 | Learning Unsupervised Multilingual Word Embeddings with Incremental Multilingual Hubs | Geert Heyman, Bregt Verreet, Ivan Vulić, Marie-Francine Moens | https://www.aclweb.org/anthology/N19-1188.pdf |