| 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 | # train-mll, arch-lstm, arch-att, arch-coverage, arch-subword, pre-fasttext, pre-glove, loss-svd | 1 | Relational Word Embeddings | Jose Camacho-Collados, Luis Espinosa Anke, Steven Schockaert | https://www.aclweb.org/anthology/P19-1318.pdf |
| 2019 | ACL | # optim-adam, optim-projection, reg-dropout, train-mll, arch-coverage, arch-subword, pre-glove, loss-svd, loss-margin, task-textpair | 1 | Generalized Tuning of Distributional Word Vectors for Monolingual and Cross-Lingual Lexical Entailment | Goran Glavaš, Ivan Vulić | https://www.aclweb.org/anthology/P19-1476.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 | # optim-adam, loss-svd, task-lm, task-seq2seq | 4 | Time-Out: Temporal Referencing for Robust Modeling of Lexical Semantic Change | Haim Dubossarsky, Simon Hengchen, Nina Tahmasebi, Dominik Schlechtweg | https://www.aclweb.org/anthology/P19-1044.pdf |
| 2019 | ACL | # optim-adam, reg-dropout, train-mtl, train-transfer, pool-max, arch-rnn, arch-lstm, arch-bilstm, arch-att, arch-selfatt, pre-elmo, loss-svd, task-textclass, task-textpair, task-lm, task-seq2seq, meta-arch | 1 | Continual and Multi-Task Architecture Search | Ramakanth Pasunuru, Mohit Bansal | https://www.aclweb.org/anthology/P19-1185.pdf |
| 2019 | ACL | # optim-sgd, optim-projection, train-transfer, arch-coverage, pre-glove, loss-svd, task-textpair | 6 | Inferring Concept Hierarchies from Text Corpora via Hyperbolic Embeddings | Matthew Le, Stephen Roller, Laetitia Papaxanthos, Douwe Kiela, Maximilian Nickel | https://www.aclweb.org/anthology/P19-1313.pdf |
| 2019 | ACL | # optim-adam, optim-projection, init-glorot, pool-max, arch-lstm, arch-att, arch-coverage, pre-fasttext, pre-skipthought, latent-vae, loss-svd, task-textclass, task-textpair, task-lm, task-seq2seq | 1 | Learning Compressed Sentence Representations for On-Device Text Processing | Dinghan Shen, Pengyu Cheng, Dhanasekar Sundararaman, Xinyuan Zhang, Qian Yang, Meng Tang, Asli Celikyilmaz, Lawrence Carin | https://www.aclweb.org/anthology/P19-1011.pdf |
| 2019 | ACL | # optim-projection, train-mll, arch-subword, pre-fasttext, latent-vae, loss-svd, task-textclass, task-lm, task-seq2seq, task-lexicon | 0 | Multilingual Factor Analysis | Francisco Vargas, Kamen Brestnichki, Alex Papadopoulos Korfiatis, Nils Hammerla | https://www.aclweb.org/anthology/P19-1170.pdf |
| 2019 | ACL | # optim-projection, pre-word2vec, pre-glove, loss-svd, task-lm, task-seq2seq | 2 | On the Compositionality Prediction of Noun Phrases using Poincaré Embeddings | Abhik Jana, Dima Puzyrev, Alexander Panchenko, Pawan Goyal, Chris Biemann, Animesh Mukherjee | https://www.aclweb.org/anthology/P19-1316.pdf |
| 2019 | ACL | # optim-projection, arch-subword, pre-fasttext, loss-svd | 0 | The Effectiveness of Simple Hybrid Systems for Hypernym Discovery | William Held, Nizar Habash | https://www.aclweb.org/anthology/P19-1327.pdf |
| 2019 | ACL | # optim-adam, reg-dropout, train-mtl, train-mll, pool-max, arch-lstm, arch-bilstm, arch-gru, arch-cnn, arch-att, arch-coverage, arch-subword, pre-word2vec, pre-fasttext, pre-skipthought, pre-elmo, pre-bert, loss-svd, task-textclass, task-textpair, task-seqlab | 2 | Robust Representation Learning of Biomedical Names | Minh C. Phan, Aixin Sun, Yi Tay | https://www.aclweb.org/anthology/P19-1317.pdf |
| 2019 | ACL | # init-glorot, arch-rnn, arch-lstm, arch-gru, comb-ensemble, struct-hmm, loss-svd, task-lm | 0 | Interpolated Spectral NGram Language Models | Ariadna Quattoni, Xavier Carreras | https://www.aclweb.org/anthology/P19-1594.pdf |
| 2019 | ACL | # optim-adam, train-mtl, train-transfer, train-augment, arch-rnn, arch-lstm, arch-att, arch-selfatt, arch-coverage, arch-subword, arch-transformer, pre-fasttext, adv-train, loss-svd, task-lm, task-seq2seq, task-lexicon, task-alignment | 1 | Domain Adaptation of Neural Machine Translation by Lexicon Induction | Junjie Hu, Mengzhou Xia, Graham Neubig, Jaime Carbonell | https://www.aclweb.org/anthology/P19-1286.pdf |
| 2019 | ACL | # optim-sgd, train-mll, train-transfer, arch-lstm, arch-bilstm, arch-coverage, arch-subword, pre-word2vec, pre-glove, loss-svd, task-lm, task-seq2seq, task-lexicon, task-alignment | 0 | A Multilingual BPE Embedding Space for Universal Sentiment Lexicon Induction | Mengjie Zhao, Hinrich Schütze | https://www.aclweb.org/anthology/P19-1341.pdf |
| 2019 | ACL | # optim-adam, train-mll, pre-word2vec, latent-topic, loss-svd, task-lm | 0 | A Wind of Change: Detecting and Evaluating Lexical Semantic Change across Times and Domains | Dominik Schlechtweg, Anna Hätty, Marco Del Tredici, Sabine Schulte im Walde | https://www.aclweb.org/anthology/P19-1072.pdf |
| 2019 | ACL | # latent-topic, loss-svd | 0 | Spatial Aggregation Facilitates Discovery of Spatial Topics | Aniruddha Maiti, Slobodan Vucetic | https://www.aclweb.org/anthology/P19-1025.pdf |
| 2019 | ACL | # optim-sgd, optim-adam, train-mll, train-transfer, pool-max, arch-rnn, arch-lstm, arch-att, arch-selfatt, arch-subword, pre-word2vec, pre-fasttext, pre-glove, pre-skipthought, pre-elmo, pre-bert, loss-svd, task-textclass, task-lm | 0 | Self-Attentive, Multi-Context One-Class Classification for Unsupervised Anomaly Detection on Text | Lukas Ruff, Yury Zemlyanskiy, Robert Vandermeulen, Thomas Schnake, Marius Kloft | https://www.aclweb.org/anthology/P19-1398.pdf |
| 2019 | ACL | # train-mll, train-transfer, train-augment, arch-att, arch-selfatt, arch-coverage, arch-subword, arch-transformer, pre-fasttext, loss-svd, task-seqlab, task-lm, task-seq2seq, task-lexicon | 1 | Generalized Data Augmentation for Low-Resource Translation | Mengzhou Xia, Xiang Kong, Antonios Anastasopoulos, Graham Neubig | https://www.aclweb.org/anthology/P19-1579.pdf |
| 2019 | ACL | # optim-adam, reg-norm, train-mtl, train-mll, arch-lstm, arch-att, arch-selfatt, arch-coverage, arch-transformer, pre-glove, pre-skipthought, pre-elmo, pre-bert, loss-svd, task-textclass, task-textpair, task-lm | 0 | EigenSent: Spectral sentence embeddings using higher-order Dynamic Mode Decomposition | Subhradeep Kayal, George Tsatsaronis | https://www.aclweb.org/anthology/P19-1445.pdf |
| 2019 | ACL | # optim-sgd, optim-adam, optim-projection, reg-dropout, train-mll, train-transfer, arch-lstm, arch-subword, pre-word2vec, pre-elmo, adv-train, loss-svd, task-seqlab, task-lm, task-seq2seq, task-relation, task-lexicon, task-alignment | 1 | Unsupervised Multilingual Word Embedding with Limited Resources using Neural Language Models | Takashi Wada, Tomoharu Iwata, Yuji Matsumoto | https://www.aclweb.org/anthology/P19-1300.pdf |
| 2019 | EMNLP | # reg-dropout, arch-lstm, arch-att, arch-selfatt, arch-coverage, pre-glove, pre-elmo, pre-bert, loss-svd, task-lm | 0 | Detect Camouflaged Spam Content via StoneSkipping: Graph and Text Joint Embedding for Chinese Character Variation Representation | Zhuoren Jiang, Zhe Gao, Guoxiu He, Yangyang Kang, Changlong Sun, Qiong Zhang, Luo Si, Xiaozhong Liu | https://www.aclweb.org/anthology/D19-1640.pdf |
| 2019 | EMNLP | # optim-adam, reg-dropout, arch-rnn, arch-lstm, arch-bilstm, arch-cnn, arch-att, arch-bilinear, search-greedy, search-beam, pre-word2vec, pre-glove, loss-svd, task-seq2seq | 0 | Low-Rank HOCA: Efficient High-Order Cross-Modal Attention for Video Captioning | Tao Jin, Siyu Huang, Yingming Li, Zhongfei Zhang | https://www.aclweb.org/anthology/D19-1207.pdf |
| 2019 | EMNLP | # optim-adam, train-mll, train-transfer, pool-max, arch-subword, search-beam, loss-svd, task-lm, task-seq2seq | 1 | Pivot-based Transfer Learning for Neural Machine Translation between Non-English Languages | Yunsu Kim, Petre Petrov, Pavel Petrushkov, Shahram Khadivi, Hermann Ney | https://www.aclweb.org/anthology/D19-1080.pdf |
| 2019 | EMNLP | # optim-projection, train-mll, arch-coverage, arch-subword, pre-fasttext, pre-bert, loss-svd, task-lm | 0 | SEAGLE: A Platform for Comparative Evaluation of Semantic Encoders for Information Retrieval | Fabian David Schmidt, Markus Dietsche, Simone Paolo Ponzetto, Goran Glavaš | https://www.aclweb.org/anthology/D19-3034.pdf |
| 2019 | EMNLP | # optim-sgd, optim-adam, train-mll, arch-rnn, arch-att, arch-bilinear, arch-subword, comb-ensemble, pre-fasttext, pre-elmo, pre-bert, loss-svd, task-lm, task-seq2seq, task-relation, task-alignment | 3 | Cross-Lingual BERT Transformation for Zero-Shot Dependency Parsing | Yuxuan Wang, Wanxiang Che, Jiang Guo, Yijia Liu, Ting Liu | https://www.aclweb.org/anthology/D19-1575.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-projection, latent-topic, loss-svd | 0 | Practical Correlated Topic Modeling and Analysis via the Rectified Anchor Word Algorithm | Moontae Lee, Sungjun Cho, David Bindel, David Mimno | https://www.aclweb.org/anthology/D19-1504.pdf |
| 2019 | EMNLP | # train-active, pre-word2vec, latent-topic, loss-svd | 0 | PaRe: A Paper-Reviewer Matching Approach Using a Common Topic Space | Omer Anjum, Hongyu Gong, Suma Bhat, Wen-Mei Hwu, JinJun Xiong | https://www.aclweb.org/anthology/D19-1049.pdf |
| 2019 | EMNLP | # optim-adam, optim-projection, norm-layer, train-mtl, train-mll, arch-subword, pre-word2vec, pre-fasttext, pre-glove, pre-skipthought, pre-elmo, loss-svd, task-textpair, task-seq2seq | 0 | Parameter-free Sentence Embedding via Orthogonal Basis | Ziyi Yang, Chenguang Zhu, Weizhu Chen | https://www.aclweb.org/anthology/D19-1059.pdf |
| 2019 | EMNLP | # optim-adam, optim-projection, reg-dropout, reg-decay, arch-rnn, arch-lstm, arch-gru, arch-att, arch-memo, latent-vae, latent-topic, loss-svd, task-lm, task-seq2seq | 0 | Adaptive Parameterization for Neural Dialogue Generation | Hengyi Cai, Hongshen Chen, Cheng Zhang, Yonghao Song, Xiaofang Zhao, Dawei Yin | https://www.aclweb.org/anthology/D19-1188.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, optim-projection, reg-dropout, reg-stopping, train-mll, train-transfer, activ-tanh, pool-max, arch-rnn, arch-lstm, arch-bilstm, arch-cnn, comb-ensemble, pre-word2vec, adv-train, loss-svd, task-seqlab, task-seq2seq, task-relation, task-alignment | 0 | Neural Cross-Lingual Relation Extraction Based on Bilingual Word Embedding Mapping | Jian Ni, Radu Florian | https://www.aclweb.org/anthology/D19-1038.pdf |
| 2019 | EMNLP | # optim-sgd, optim-adam, arch-rnn, arch-lstm, arch-cnn, arch-att, arch-subword, nondif-gumbelsoftmax, loss-svd, task-lm, task-seq2seq | 0 | MulCode: A Multiplicative Multi-way Model for Compressing Neural Language Model | Yukun Ma, Patrick H. Chen, Cho-Jui Hsieh | https://www.aclweb.org/anthology/D19-1529.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-adam, reg-dropout, reg-decay, arch-att, pre-elmo, loss-svd | 1 | An Attentive Fine-Grained Entity Typing Model with Latent Type Representation | Ying Lin, Heng Ji | https://www.aclweb.org/anthology/D19-1641.pdf |
| 2019 | EMNLP | # optim-adam, reg-dropout, arch-gnn, arch-cnn, arch-att, latent-topic, loss-svd | 0 | Reviews Meet Graphs: Enhancing User and Item Representations for Recommendation with Hierarchical Attentive Graph Neural Network | Chuhan Wu, Fangzhao Wu, Tao Qi, Suyu Ge, Yongfeng Huang, Xing Xie | https://www.aclweb.org/anthology/D19-1494.pdf |
| 2019 | EMNLP | # optim-adam, optim-projection, reg-dropout, train-mll, train-transfer, arch-rnn, arch-cnn, arch-att, arch-selfatt, arch-memo, loss-svd, task-seqlab, task-seq2seq, task-lexicon, task-alignment | 0 | Neural Cross-Lingual Event Detection with Minimal Parallel Resources | Jian Liu, Yubo Chen, Kang Liu, Jun Zhao | https://www.aclweb.org/anthology/D19-1068.pdf |
| 2019 | EMNLP | # train-mll, arch-att, arch-subword, pre-fasttext, loss-svd, task-lexicon | 0 | Supervised and Nonlinear Alignment of Two Embedding Spaces for Dictionary Induction in Low Resourced Languages | Masud Moshtaghi | https://www.aclweb.org/anthology/D19-1076.pdf |
| 2019 | EMNLP | # optim-adam, reg-dropout, norm-batch, train-mtl, arch-bilinear, loss-svd | 14 | TuckER: Tensor Factorization for Knowledge Graph Completion | Ivana Balazevic, Carl Allen, Timothy Hospedales | https://www.aclweb.org/anthology/D19-1522.pdf |
| 2019 | EMNLP | # optim-projection, train-mll, arch-subword, pre-fasttext, adv-train, latent-vae, loss-svd, task-lexicon | 1 | A Multi-Pairwise Extension of Procrustes Analysis for Multilingual Word Translation | Hagai Taitelbaum, Gal Chechik, Jacob Goldberger | https://www.aclweb.org/anthology/D19-1363.pdf |
| 2019 | EMNLP | # optim-adam, optim-projection, reg-dropout, train-mll, train-transfer, arch-coverage, arch-subword, pre-fasttext, loss-svd, task-textpair, task-lm, task-seq2seq, task-relation, task-lexicon, task-alignment | 0 | Do We Really Need Fully Unsupervised Cross-Lingual Embeddings? | Ivan Vulić, Goran Glavaš, Roi Reichart, Anna Korhonen | https://www.aclweb.org/anthology/D19-1449.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 | # arch-rnn, arch-cnn, pre-word2vec, loss-svd, task-textclass, task-relation | 1 | Vector of Locally Aggregated Embeddings for Text Representation | Hadi Amiri, Mitra Mohtarami | https://www.aclweb.org/anthology/N19-1143.pdf |
| 2019 | NAA-CL | # optim-sgd, train-mll, arch-lstm, arch-bilstm, arch-att, arch-coverage, arch-subword, pre-fasttext, pre-glove, struct-crf, latent-vae, loss-svd, task-seqlab, task-lm | 1 | Misspelling Oblivious Word Embeddings | Aleksandra Piktus, Necati Bora Edizel, Piotr Bojanowski, Edouard Grave, Rui Ferreira, Fabrizio Silvestri | https://www.aclweb.org/anthology/N19-1326.pdf |
| 2019 | NAA-CL | # optim-adam, optim-projection, init-glorot, reg-dropout, train-mll, train-transfer, arch-rnn, arch-lstm, arch-cnn, arch-att, arch-memo, arch-subword, pre-fasttext, struct-crf, adv-train, loss-svd, task-seqlab, task-lm, task-lexicon, task-alignment | 0 | Zero-Shot Cross-Lingual Opinion Target Extraction | Soufian Jebbara, Philipp Cimiano | https://www.aclweb.org/anthology/N19-1257.pdf |
| 2019 | NAA-CL | # optim-adam, optim-projection, init-glorot, loss-svd, task-textpair | 0 | Fact Discovery from Knowledge Base via Facet Decomposition | Zihao Fu, Yankai Lin, Zhiyuan Liu, Wai Lam | https://www.aclweb.org/anthology/N19-1297.pdf |
| 2019 | NAA-CL | # train-mll, arch-lstm, arch-subword, pre-fasttext, pre-elmo, loss-svd, task-lm, task-seq2seq, task-relation, task-alignment | 8 | Context-Aware Cross-Lingual Mapping | Hanan Aldarmaki, Mona Diab | https://www.aclweb.org/anthology/N19-1391.pdf |
| 2019 | NAA-CL | # optim-adam, init-glorot, reg-dropout, norm-layer, arch-rnn, arch-lstm, arch-att, arch-coverage, pre-fasttext, loss-svd, task-condlm | 2 | AudioCaps: Generating Captions for Audios in The Wild | Chris Dongjoo Kim, Byeongchang Kim, Hyunmin Lee, Gunhee Kim | https://www.aclweb.org/anthology/N19-1011.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 |
| 2019 | NAA-CL | # arch-rnn, arch-lstm, arch-cnn, arch-att, arch-coverage, comb-ensemble, pre-word2vec, pre-paravec, pre-skipthought, loss-svd, task-seq2seq | 0 | Automatic learner summary assessment for reading comprehension | Menglin Xia, Ekaterina Kochmar, Ted Briscoe | https://www.aclweb.org/anthology/N19-1261.pdf |
| 2019 | NAA-CL | # optim-adam, optim-projection, reg-dropout, arch-rnn, arch-lstm, arch-att, search-viterbi, loss-svd, task-lm, task-seq2seq | 0 | Enabling Real-time Neural IME with Incremental Vocabulary Selection | Jiali Yao, Raphael Shu, Xinjian Li, Katsutoshi Ohtsuki, Hideki Nakayama | https://www.aclweb.org/anthology/N19-2001.pdf |
| 2019 | NAA-CL | # optim-adam, optim-projection, train-mll, arch-subword, pre-fasttext, latent-vae, loss-svd, task-seq2seq, task-relation, task-lexicon, task-alignment | 5 | Density Matching for Bilingual Word Embedding | Chunting Zhou, Xuezhe Ma, Di Wang, Graham Neubig | https://www.aclweb.org/anthology/N19-1161.pdf |
| 2019 | NAA-CL | # train-mll, arch-att, pre-fasttext, pre-glove, pre-skipthought, pre-elmo, pre-bert, loss-svd, task-seq2seq | 0 | Big BiRD: A Large, Fine-Grained, Bigram Relatedness Dataset for Examining Semantic Composition | Shima Asaadi, Saif Mohammad, Svetlana Kiritchenko | https://www.aclweb.org/anthology/N19-1050.pdf |
| 2019 | NAA-CL | # optim-projection, train-mll, latent-vae, loss-svd, task-seq2seq, task-lexicon | 2 | Aligning Vector-spaces with Noisy Supervised Lexicon | Noa Yehezkel Lubin, Jacob Goldberger, Yoav Goldberg | https://www.aclweb.org/anthology/N19-1045.pdf |
| 2019 | NAA-CL | # optim-projection, comb-ensemble, loss-svd, task-textclass | 1 | A Submodular Feature-Aware Framework for Label Subset Selection in Extreme Classification Problems | Elham J. Barezi, Ian D. Wood, Pascale Fung, Hamid R. Rabiee | https://www.aclweb.org/anthology/N19-1106.pdf |