Papers
What Can We Learn from Collective Human Opinions on Natural Language Inference Data?
Yixin Nie, Xiang Zhou, Mohit Bansal
What Can We Learn from Noun Substitutions in Revision Histories?
Talita Anthonio, Michael Roth
What Deep CNNs Benefit From Global Covariance Pooling: An Optimization Perspective
Qilong Wang, Li Zhang, Banggu Wu et al.
What determines the order of adjectives in English? Comparing efficiency-based theories using dependency treebanks
Richard Futrell, William Dyer, Greg Scontras
What Determines the Order of Verbal Dependents in Hindi? Effects of Efficiency in Comprehension and Production
Kartik Sharma, Richard Futrell, Samar Husain
What Did You Think Would Happen? Explaining Agent Behaviour through Intended Outcomes
Herman Yau, Chris Russell, Simon Hadfield
What Does an End-to-End Dialect Identification Model Learn About Non-Dialectal Information?
Shammur A. Chowdhury, Ahmed Ali, Suwon Shon et al.
What Does BERT with Vision Look At?
Liunian Harold Li, Mark Yatskar, Da Yin et al.
What Does Plate Glass Reveal About Camera Calibration?
Qian Zheng, Jinnan Chen, Zhan Lu et al.
What Does This Acronym Mean? Introducing a New Dataset for Acronym Identification and Disambiguation
Amir Pouran Ben Veyseh, Franck Dernoncourt, Quan Hung Tran et al.
What do Models Learn from Question Answering Datasets?
Priyanka Sen, Amir Saffari
What Do Neural Networks Learn When Trained With Random Labels?
Hartmut Maennel, Ibrahim M Alabdulmohsin, Ilya O Tolstikhin et al.
What Do Position Embeddings Learn? An Empirical Study of Pre-Trained Language Model Positional Encoding
Yu-An Wang, Yun-Nung Chen
What do we expect from Multiple-choice QA Systems?
Krunal Shah, Nitish Gupta, Dan Roth
“What Do You Mean by That?” A Parser-Independent Interactive Approach for Enhancing Text-to-SQL
Yuntao Li, Bei Chen, Qian Liu et al.
What Do You Mean ‘Why?’: Resolving Sluices in Conversations
Victor Petrén Bach Hansen, Anders Søgaard
What graph neural networks cannot learn: depth vs width
Andreas Loukas
What Happens To BERT Embeddings During Fine-tuning?
Amil Merchant, Elahe Rahimtoroghi, Ellie Pavlick et al.
What Have We Achieved on Text Summarization?
Dandan Huang, Leyang Cui, Sen Yang et al.
What-if I ask you to explain: Explaining the effects of perturbations in procedural text
Dheeraj Rajagopal, Niket Tandon, Peter Clark et al.
What if Neural Networks had SVDs?
Alexander Mathiasen, Frederik Hvilshøj, Jakob Rødsgaard Jørgensen et al.
What is being transferred in transfer learning?
Behnam Neyshabur, Hanie Sedghi, Chiyuan Zhang
What is Learned in Deep Uncalibrated Photometric Stereo?
Guanying Chen, Michael Waechter, Boxin Shi et al.
What is Learned in Visually Grounded Neural Syntax Acquisition
Noriyuki Kojima, Hadar Averbuch-Elor, Alexander Rush et al.