• Corrected CBOW Performs as well as Skip-gram
  Ozan ˙Irsoy, Adrian Benton and Karl Stratos
• Does Commonsense help in detecting Sarcasm?
  Somnath Basu Roy Chowdhury and Snigdha Chaturvedi
• BERT Cannot Align Characters
  Antonis Maronikolakis, Philipp Dufter and Hinrich Schütze
• Two Heads are Better than One? Verification of Ensemble Effect in Neural Machine Translation
  Chanjun Park, Sungjin Park, Seolhwa Lee, Taesun Whang and Heuiseok Lim
• Finetuning Pretrained Transformers into Variational Autoencoders
  Seongmin Park and Jihwa Lee
• Are BERTs Sensitive to Native Interference in L2 Production?
  Zixin Tang, Prasenjit Mitra and David Reitter
• Zero-Shot Cross-Lingual Transfer is a Hard Baseline to Beat in German Fine-Grained Entity Typing
  Sabine Weber and Mark Steedman.
• Comparing Euclidean and Hyperbolic Embeddings on the WordNet Nouns Hypernymy Graph
  Sameer Bansal and Adrian Benton.
• When does Further Pre-training MLM Help? An Empirical Study on Task-Oriented Dialog Pre-training
  Qi Zhu, Yuxian Gu, Lingxiao Luo, Bing Li, Cheng LI, Wei Peng, Minlie Huang and Xiaoyan Zhu
• Recurrent Attention for the Transformer
  Jan Rosendahl, Christian Herold, Frithjof Petrick and Hermann Ney
• On the Difficulty of Segmenting Words with Attention
  Ramon Sanabria, Hao Tang and Sharon Goldwater
• The Highs and Lows of Simple Lexical Domain Adaptation Approaches for Neural Machine Translation
  Nikolay Bogoychev and Pinzhen Chen
• Backtranslation in Neural Morphological Inflection
  Ling Liu and Mans Hulden
• Learning Data Augmentation Schedules for Natural Language Processing
  Daphné Chopard, Matthias S. Treder and Irena Spasi´c
• An Investigation into the Contribution of Locally Aggregated Descriptors to Figurative Language Identification
  Sina Mahdipour Saravani, Ritwik Banerjee and Indrakshi Ray.
• Blindness to Modality Helps Entailment Graph Mining
  Liane Guillou, Sander Bijl de Vroe, Mark Johnson and Mark Steedman
• Investigating the Effect of Natural Language Explanations on Out-of-Distribution Generalization in Fewshot NLI
  Yangqiaoyu Zhou and Chenhao Tan
• Generalization in NLI: Ways (Not) To Go Beyond Simple Heuristics
  Prajjwal Bhargava, Aleksandr Drozd and Anna Rogers
• Challenging the Semi-Supervised VAE Framework for Text Classification
  Ghazi Felhi, Joseph Le Roux and Djamé Seddah
• Active Learning for Argument Strength Estimation
  Nataliia Kees, Michael Fromm, Evgeniy Faerman and Thomas Seidl

In addition to the above, the following EMNLP Findings papers will be presented at Insights:

• Is BERT a Cross-Disciplinary Knowledge Learner? A Surprising Finding of Pre-trained Models’ Transferability
  Wei-Tsung Kao and Hung-yi Lee
• Do We Know What We Don’t Know? Studying Unanswerable Questions beyond SQuAD 2.0, Elior Sulem
  Jamaal Hay and Dan Roth
• Does Vision-and-Language Pretraining Improve Lexical Grounding?
  Tian Yun, Chen Sun and Ellie Pavlick
• Investigating Numeracy of a Text-to-Text Transfer model
  Kuntal Kumar Pal and Chitta Baral
• Temporal Adaptation of BERT and Performance on Downstream Document Classification: Insights from Social Media
  Paul Röttger and Janet B. Pierrehumbert