Papers
Retrofitting Contextualized Word Embeddings with Paraphrases
Weijia Shi, Muhao Chen, Pei Zhou et al.
Revealing and Predicting Online Persuasion Strategy with Elementary Units
Gaku Morio, Ryo Egawa, Katsuhide Fujita
Revealing the Dark Secrets of BERT
Olga Kovaleva, Alexey Romanov, Anna Rogers et al.
Revealing the Importance of Semantic Retrieval for Machine Reading at Scale
Yixin Nie, Songhe Wang, Mohit Bansal
Reviews Meet Graphs: Enhancing User and Item Representations for Recommendation with Hierarchical Attentive Graph Neural Network
Chuhan Wu, Fangzhao Wu, Tao Qi et al.
Revisit Automatic Error Detection for Wrong and Missing Translation – A Supervised Approach
Wenqiang Lei, Weiwen Xu, Ai Ti Aw et al.
Revisiting the Evaluation of Theory of Mind through Question Answering
Matthew Le, Y-Lan Boureau, Maximilian Nickel
Rewarding Coreference Resolvers for Being Consistent with World Knowledge
Rahul Aralikatte, Heather Lent, Ana Valeria Gonzalez et al.
RNN Architecture Learning with Sparse Regularization
Jesse Dodge, Roy Schwartz, Hao Peng et al.
Robust Navigation with Language Pretraining and Stochastic Sampling
Xiujun Li, Chunyuan Li, Qiaolin Xia et al.
Robust Text Classifier on Test-Time Budgets
Md Rizwan Parvez, Tolga Bolukbasi, Kai-Wei Chang et al.
Room to Glo: A Systematic Comparison of Semantic Change Detection Approaches with Word Embeddings
Philippa Shoemark, Farhana Ferdousi Liza, Dong Nguyen et al.
RUN through the Streets: A New Dataset and Baseline Models for Realistic Urban Navigation
Tzuf Paz-Argaman, Reut Tsarfaty
Sampling Bias in Deep Active Classification: An Empirical Study
Ameya Prabhu, Charles Dognin, Maneesh Singh
Sampling Matters! An Empirical Study of Negative Sampling Strategies for Learning of Matching Models in Retrieval-based Dialogue Systems
Jia Li, Chongyang Tao, Wei Wu et al.
Scalable and Accurate Dialogue State Tracking via Hierarchical Sequence Generation
Liliang Ren, Jianmo Ni, Julian McAuley
SciBERT: A Pretrained Language Model for Scientific Text
Iz Beltagy, Kyle Lo, Arman Cohan
SEAGLE: A Platform for Comparative Evaluation of Semantic Encoders for Information Retrieval
Fabian David Schmidt, Markus Dietsche, Simone Paolo Ponzetto et al.
Select and Attend: Towards Controllable Content Selection in Text Generation
Xiaoyu Shen, Jun Suzuki, Kentaro Inui et al.
Self-Assembling Modular Networks for Interpretable Multi-Hop Reasoning
Yichen Jiang, Mohit Bansal
Self-Attention with Structural Position Representations
Xing Wang, Zhaopeng Tu, Longyue Wang et al.
Semantic graph parsing with recurrent neural network DAG grammars
Federico Fancellu, Sorcha Gilroy, Adam Lopez et al.
Semantic Relatedness Based Re-ranker for Text Spotting
Ahmed Sabir, Francesc Moreno, Lluís Padró