Papers
ConNER: Consistency Training for Cross-lingual Named Entity Recognition
Ran Zhou, Xin Li, Lidong Bing et al.
CONQRR: Conversational Query Rewriting for Retrieval with Reinforcement Learning
Zeqiu Wu, Yi Luan, Hannah Rashkin et al.
ConReader: Exploring Implicit Relations in Contracts for Contract Clause Extraction
Weiwen Xu, Yang Deng, Wenqiang Lei et al.
Consecutive Question Generation via Dynamic Multitask Learning
Yunji Li, Sujian Li, Xing Shi
CONSISTENT: Open-Ended Question Generation From News Articles
Tuhin Chakrabarty, Justin Lewis, Smaranda Muresan
ConsistTL: Modeling Consistency in Transfer Learning for Low-Resource Neural Machine Translation
Zhaocong Li, Xuebo Liu, Derek F. Wong et al.
Conspiracy Narratives in the Protest Movement Against COVID-19 Restrictions in Germany. A Long-term Content Analysis of Telegram Chat Groups.
Manuel Weigand, Maximilian Weber, Johannes Gruber
Constructing Highly Inductive Contexts for Dialogue Safety through Controllable Reverse Generation
Zhexin Zhang, Jiale Cheng, Hao Sun et al.
Consultation Checklists: Standardising the Human Evaluation of Medical Note Generation
Aleksandar Savkov, Francesco Moramarco, Alex Papadopoulos Korfiatis et al.
Context-aware Information-theoretic Causal De-biasing for Interactive Sequence Labeling
Junda Wu, Rui Wang, Tong Yu et al.
Context Limitations Make Neural Language Models More Human-Like
Tatsuki Kuribayashi, Yohei Oseki, Ana Brassard et al.
Context Matters for Image Descriptions for Accessibility: Challenges for Referenceless Evaluation Metrics
Elisa Kreiss, Cynthia Bennett, Shayan Hooshmand et al.
Context-Situated Pun Generation
Jiao Sun, Anjali Narayan-Chen, Shereen Oraby et al.
Contextualizing Emerging Trends in Financial News Articles
Nhu Khoa Nguyen, Thierry Delahaut, Emanuela Boros et al.
Contextualizing Language Models for Norms Diverging from Social Majority
Niklas Kiehne, Hermann Kroll, Wolf-Tilo Balke
Continual Learning for Natural Language Generations with Transformer Calibration
Peng Yang, Dingcheng Li, Ping Li
Continual Learning of Neural Machine Translation within Low Forgetting Risk Regions
Shuhao Gu, Bojie Hu, Yang Feng
Continual Training of Language Models for Few-Shot Learning
Zixuan Ke, Haowei Lin, Yijia Shao et al.
Continuation KD: Improved Knowledge Distillation through the Lens of Continuation Optimization
Aref Jafari, Ivan Kobyzev, Mehdi Rezagholizadeh et al.
Continued Pretraining for Better Zero- and Few-Shot Promptability
Zhaofeng Wu, Robert L Logan IV, Pete Walsh et al.
Continuous Rating as Reliable Human Evaluation of Simultaneous Speech Translation
Dávid Javorský, Dominik Macháček, Ondřej Bojar
Contrastive Demonstration Tuning for Pre-trained Language Models
Xiaozhuan Liang, Ningyu Zhang, Siyuan Cheng et al.
Contrastive Learning enhanced Author-Style Headline Generation
Hui Liu, Weidong Guo, Yige Chen et al.
Contrastive Learning with Expectation-Maximization for Weakly Supervised Phrase Grounding
Keqin Chen, Richong Zhang, Samuel Mensah et al.
Contrastive Learning with Prompt-derived Virtual Semantic Prototypes for Unsupervised Sentence Embedding
Jiali Zeng, Yongjing Yin, Yufan Jiang et al.