Papers
Do RNN States Encode Abstract Phonological Alternations?
Miikka Silfverberg, Francis Tyers, Garrett Nicolai et al.
Do Syntactic Probes Probe Syntax? Experiments with Jabberwocky Probing
Rowan Hall Maudslay, Ryan Cotterell
Double Perturbation: On the Robustness of Robustness and Counterfactual Bias Evaluation
Chong Zhang, Jieyu Zhao, Huan Zhang et al.
DReCa: A General Task Augmentation Strategy for Few-Shot Natural Language Inference
Shikhar Murty, Tatsunori B. Hashimoto, Christopher Manning
DuoRAT: Towards Simpler Text-to-SQL Models
Torsten Scholak, Raymond Li, Dzmitry Bahdanau et al.
Dynabench: Rethinking Benchmarking in NLP
Douwe Kiela, Max Bartolo, Yixin Nie et al.
Dynamically Disentangling Social Bias from Task-Oriented Representations with Adversarial Attack
Liwen Wang, Yuanmeng Yan, Keqing He et al.
EaSe: A Diagnostic Tool for VQA based on Answer Diversity
Shailza Jolly, Sandro Pezzelle, Moin Nabi
Edge: Enriching Knowledge Graph Embeddings with External Text
Saed Rezayi, Handong Zhao, Sungchul Kim et al.
Efficient Attentions for Long Document Summarization
Luyang Huang, Shuyang Cao, Nikolaus Parulian et al.
Efficiently Summarizing Text and Graph Encodings of Multi-Document Clusters
Ramakanth Pasunuru, Mengwen Liu, Mohit Bansal et al.
Emotion Classification in a Resource Constrained Language Using Transformer-based Approach
Avishek Das, Omar Sharif, Mohammed Moshiul Hoque et al.
Emotion-Infused Models for Explainable Psychological Stress Detection
Elsbeth Turcan, Smaranda Muresan, Kathleen McKeown
Empirical Evaluation of Pre-trained Transformers for Human-Level NLP: The Role of Sample Size and Dimensionality
Adithya V Ganesan, Matthew Matero, Aravind Reddy Ravula et al.
emrKBQA: A Clinical Knowledge-Base Question Answering Dataset
Preethi Raghavan, Jennifer J Liang, Diwakar Mahajan et al.
End-to-end ASR to jointly predict transcriptions and linguistic annotations
Motoi Omachi, Yuya Fujita, Shinji Watanabe et al.
End-to-End Automatic Speech Recognition: Its Impact on the Workflowin Documenting Yoloxóchitl Mixtec
Jonathan D. Amith, Jiatong Shi, Rey Castillo García
End-to-end Biomedical Entity Linking with Span-based Dictionary Matching
Shogo Ujiie, Hayate Iso, Shuntaro Yada et al.
Enhancing Cognitive Models of Emotions with Representation Learning
Yuting Guo, Jinho D. Choi
Enhancing Factual Consistency of Abstractive Summarization
Chenguang Zhu, William Hinthorn, Ruochen Xu et al.
Enhancing Multiple-Choice Question Answering with Causal Knowledge
Dhairya Dalal, Mihael Arcan, Paul Buitelaar
Enriching Transformers with Structured Tensor-Product Representations for Abstractive Summarization
Yichen Jiang, Asli Celikyilmaz, Paul Smolensky et al.
Ensemble of MRR and NDCG models for Visual Dialog
Idan Schwartz
EntityBERT: Entity-centric Masking Strategy for Model Pretraining for the Clinical Domain
Chen Lin, Timothy Miller, Dmitriy Dligach et al.