Papers
Diversity-Aware Batch Active Learning for Dependency Parsing
Tianze Shi, Adrian Benton, Igor Malioutov et al.
Document-Level Event Argument Extraction by Conditional Generation
Sha Li, Heng Ji, Jiawei Han
Document-level Event Extraction with Efficient End-to-end Learning of Cross-event Dependencies
Kung-Hsiang Huang, Nanyun Peng
Does BERT Pretrained on Clinical Notes Reveal Sensitive Data?
Eric Lehman, Sarthak Jain, Karl Pichotta et al.
Does Structure Matter? Encoding Documents for Machine Reading Comprehension
Hui Wan, Song Feng, Chulaka Gunasekara et al.
Does syntax matter? A strong baseline for Aspect-based Sentiment Analysis with RoBERTa
Junqi Dai, Hang Yan, Tianxiang Sun et al.
Domain Adaptation for Arabic Cross-Domain and Cross-Dialect Sentiment Analysis from Contextualized Word Embedding
Abdellah El Mekki, Abdelkader El Mahdaouy, Ismail Berrada et al.
Domain Divergences: A Survey and Empirical Analysis
Abhinav Ramesh Kashyap, Devamanyu Hazarika, Min-Yen Kan et al.
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