Papers
On Log-Loss Scores and (No) Privacy
Abhinav Aggarwal, Zekun Xu, Oluwaseyi Feyisetan et al.
On Long-Tailed Phenomena in Neural Machine Translation
Vikas Raunak, Siddharth Dalmia, Vivek Gupta et al.
On Losses for Modern Language Models
Stéphane Aroca-Ouellette, Frank Rudzicz
On Negative Interference in Multilingual Models: Findings and A Meta-Learning Treatment
Zirui Wang, Zachary C. Lipton, Yulia Tsvetkov
On Romanization for Model Transfer Between Scripts in Neural Machine Translation
Chantal Amrhein, Rico Sennrich
On Task-Level Dialogue Composition of Generative Transformer Model
Prasanna Parthasarathi, Sharan Narang, Arvind Neelakantan
On the Ability and Limitations of Transformers to Recognize Formal Languages
Satwik Bhattamishra, Kabir Ahuja, Navin Goyal
On the Branching Bias of Syntax Extracted from Pre-trained Language Models
Huayang Li, Lemao Liu, Guoping Huang et al.
On the Complementary Nature of Knowledge Graph Embedding, Fine Grain Entity Types, and Language Modeling
Rajat Patel, Francis Ferraro
On the Computational Power of Transformers and Its Implications in Sequence Modeling
Satwik Bhattamishra, Arkil Patel, Navin Goyal
On the diminishing return of labeling clinical reports
Jean-Baptiste Lamare, Oloruntobiloba Olatunji, Li Yao
On the Discrepancy between Density Estimation and Sequence Generation
Jason Lee, Dustin Tran, Orhan Firat et al.
On the Evaluation of Machine Translation n-best Lists
Jacob Bremerman, Huda Khayrallah, Douglas Oard et al.
On the Frailty of Universal POS Tags for Neural UD Parsers
Mark Anderson, Carlos Gómez-Rodríguez
On the Importance of Adaptive Data Collection for Extremely Imbalanced Pairwise Tasks
Stephen Mussmann, Robin Jia, Percy Liang
On the importance of pre-training data volume for compact language models
Vincent Micheli, Martin d’Hoffschmidt, François Fleuret
On the Interplay Between Fine-tuning and Sentence-level Probing for Linguistic Knowledge in Pre-trained Transformers
Marius Mosbach, Anna Khokhlova, Michael A. Hedderich et al.
On the Interplay Between Fine-tuning and Sentence-Level Probing for Linguistic Knowledge in Pre-Trained Transformers
Marius Mosbach, Anna Khokhlova, Michael A. Hedderich et al.
On the Language Neutrality of Pre-trained Multilingual Representations
Jindřich Libovický, Rudolf Rosa, Alexander Fraser
On the Potential of Lexico-logical Alignments for Semantic Parsing to SQL Queries
Tianze Shi, Chen Zhao, Jordan Boyd-Graber et al.
On the Reliability and Validity of Detecting Approval of Political Actors in Tweets
Indira Sen, Fabian Flöck, Claudia Wagner
On the Role of Supervision in Unsupervised Constituency Parsing
Haoyue Shi, Karen Livescu, Kevin Gimpel
On the Sentence Embeddings from Pre-trained Language Models
Bohan Li, Hao Zhou, Junxian He et al.