Papers
What determines the order of adjectives in English? Comparing efficiency-based theories using dependency treebanks
Richard Futrell, William Dyer, Greg Scontras
Speakers enhance contextually confusable words
Eric Meinhardt, Eric Bakovic, Leon Bergen
Recurrent Neural Network Language Models Always Learn English-Like Relative Clause Attachment
Forrest Davis, Marten van Schijndel
Recollection versus Imagination: Exploring Human Memory and Cognition via Neural Language Models
Maarten Sap, Eric Horvitz, Yejin Choi et al.
Probing Linguistic Systematicity
Emily Goodwin, Koustuv Sinha, Timothy J. O’Donnell
Unsupervised Opinion Summarization with Noising and Denoising
Reinald Kim Amplayo, Mirella Lapata
Screenplay Summarization Using Latent Narrative Structure
Pinelopi Papalampidi, Frank Keller, Lea Frermann et al.
On Faithfulness and Factuality in Abstractive Summarization
Joshua Maynez, Shashi Narayan, Bernd Bohnet et al.
Attend to Medical Ontologies: Content Selection for Clinical Abstractive Summarization
Sajad Sotudeh Gharebagh, Nazli Goharian, Ross Filice
Improving Non-autoregressive Neural Machine Translation with Monolingual Data
Jiawei Zhou, Phillip Keung
BPE-Dropout: Simple and Effective Subword Regularization
Ivan Provilkov, Dmitrii Emelianenko, Elena Voita
Politeness Transfer: A Tag and Generate Approach
Aman Madaan, Amrith Setlur, Tanmay Parekh et al.
Learning to Update Natural Language Comments Based on Code Changes
Sheena Panthaplackel, Pengyu Nie, Milos Gligoric et al.
GPT-too: A Language-Model-First Approach for AMR-to-Text Generation
Manuel Mager, Ramón Fernandez Astudillo, Tahira Naseem et al.
Conversational Graph Grounded Policy Learning for Open-Domain Conversation Generation
Jun Xu, Haifeng Wang, Zheng-Yu Niu et al.
Multi-Domain Neural Machine Translation with Word-Level Adaptive Layer-wise Domain Mixing
Haoming Jiang, Chen Liang, Chong Wang et al.
Automatic Detection of Generated Text is Easiest when Humans are Fooled
Daphne Ippolito, Daniel Duckworth, Chris Callison-Burch et al.
A Generative Model for Joint Natural Language Understanding and Generation
Bo-Hsiang Tseng, Jianpeng Cheng, Yimai Fang et al.
You Don’t Have Time to Read This: An Exploration of Document Reading Time Prediction
Orion Weller, Jordan Hildebrandt, Ilya Reznik et al.
Modelling Suspense in Short Stories as Uncertainty Reduction over Neural Representation
David Wilmot, Frank Keller
Overestimation of Syntactic Representation in Neural Language Models
Jordan Kodner, Nitish Gupta
Inflecting When There’s No Majority: Limitations of Encoder-Decoder Neural Networks as Cognitive Models for German Plurals
Kate McCurdy, Sharon Goldwater, Adam Lopez
A Systematic Assessment of Syntactic Generalization in Neural Language Models
Jennifer Hu, Jon Gauthier, Peng Qian et al.
Will-They-Won’t-They: A Very Large Dataset for Stance Detection on Twitter
Costanza Conforti, Jakob Berndt, Mohammad Taher Pilehvar et al.