Papers
CORD-19: The COVID-19 Open Research Dataset
Lucy Lu Wang, Kyle Lo, Yoganand Chandrasekhar et al.
CorefQA: Coreference Resolution as Query-based Span Prediction
Wei Wu, Fei Wang, Arianna Yuan et al.
Coupling Distant Annotation and Adversarial Training for Cross-Domain Chinese Word Segmentation
Ning Ding, Dingkun Long, Guangwei Xu et al.
COVID-QA: A Question Answering Dataset for COVID-19
Timo Möller, Anthony Reina, Raghavan Jayakumar et al.
CraftAssist Instruction Parsing: Semantic Parsing for a Voxel-World Assistant
Kavya Srinet, Yacine Jernite, Jonathan Gray et al.
Crawling and Preprocessing Mailing Lists At Scale for Dialog Analysis
Janek Bevendorff, Khalid Al Khatib, Martin Potthast et al.
Crossing Variational Autoencoders for Answer Retrieval
Wenhao Yu, Lingfei Wu, Qingkai Zeng et al.
Cross-language sentiment analysis of European Twitter messages during the COVID-19 pandemic
Anna Kruspe, Matthias Häberle, Iona Kuhn et al.
Cross-Lingual Disaster-related Multi-label Tweet Classification with Manifold Mixup
Jishnu Ray Chowdhury, Cornelia Caragea, Doina Caragea
Cross-Lingual Semantic Role Labeling with High-Quality Translated Training Corpus
Hao Fei, Meishan Zhang, Donghong Ji
Cross-lingual Transfer Learning for COVID-19 Outbreak Alignment
Sharon Levy, William Yang Wang
Cross-Lingual Unsupervised Sentiment Classification with Multi-View Transfer Learning
Hongliang Fei, Ping Li
Cross-Linguistic Syntactic Evaluation of Word Prediction Models
Aaron Mueller, Garrett Nicolai, Panayiota Petrou-Zeniou et al.
Cross-media Structured Common Space for Multimedia Event Extraction
Manling Li, Alireza Zareian, Qi Zeng et al.
Cross-modal Coherence Modeling for Caption Generation
Malihe Alikhani, Piyush Sharma, Shengjie Li et al.
Cross-Modality Relevance for Reasoning on Language and Vision
Chen Zheng, Quan Guo, Parisa Kordjamshidi
Cross-modal Language Generation using Pivot Stabilization for Web-scale Language Coverage
Ashish V. Thapliyal, Radu Soricut
CUNI Neural ASR with Phoneme-Level Intermediate Step for~Non-Native~SLT at IWSLT 2020
Peter Polák, Sangeet Sagar, Dominik Macháček et al.
Curriculum Learning for Natural Language Understanding
Benfeng Xu, Licheng Zhang, Zhendong Mao et al.
Curriculum Pre-training for End-to-End Speech Translation
Chengyi Wang, Yu Wu, Shujie Liu et al.
Data Augmentation for Training Dialog Models Robust to Speech Recognition Errors
Longshaokan Wang, Maryam Fazel-Zarandi, Aditya Tiwari et al.
Data Augmentation for Transformer-based G2P
Zach Ryan, Mans Hulden
Data Manipulation: Towards Effective Instance Learning for Neural Dialogue Generation via Learning to Augment and Reweight
Hengyi Cai, Hongshen Chen, Yonghao Song et al.