Transformers to Fight the COVID-19 Infodemic
Comments Accepted to Workshop on NLP for Internet Freedom (NLP4IF) at NAACL 2021
期刊&会议
NAACL
North American Chapter of the Association for Computational Linguistics · 会议 · Natural Language Processing
Incremental Few-shot Text Classification with Multi-round New Classes: Formulation, Dataset and System
Comments 10 pages, accepted to NAACL 2021
EventPlus: A Temporal Event Understanding Pipeline
Comments To appear at NAACL 2021 (Demonstrations)
A Simple and Efficient Multi-Task Learning Approach for Conditioned Dialogue Generation
Comments Accepted as NAACL 2021 Long Paper (Oral)
Identifying Automatically Generated Headlines using Transformers
Comments NLP4IF 2021 Proceedings, NAACL 2021
Building Low-Resource NER Models Using Non-Speaker Annotation
Comments Accepted to DASH-LA 2021, workshop at NAACL 2021
Understanding who uses Reddit: Profiling individuals with a self-reported bipolar disorder diagnosis
Comments The Seventh Workshop on Computational Linguistics and Clinical Psychology: Improving Access @NAACL 2021; Visual abstract on p. 14
LaTeX-Numeric: Language-agnostic Text attribute eXtraction for E-commerce Numeric Attributes
Comments NAACL 2021 Industry Track
Does BERT Pretrained on Clinical Notes Reveal Sensitive Data?
Comments NAACL Camera Ready Submission
Put Chatbot into Its Interlocutor's Shoes: New Framework to Learn Chatbot Responding with Intention
Comments Accepted at NAACL-HLT 2021
Framing Unpacked: A Semi-Supervised Interpretable Multi-View Model of Media Frames
Comments Accepted at NAACL 2021
Low Anisotropy Sense Retrofitting (LASeR) : Towards Isotropic and Sense Enriched Representations
Comments DEELIO Workshop@NAACL 2021
AdaptSum: Towards Low-Resource Domain Adaptation for Abstractive Summarization
Comments The first two authors contributed equally. Accepted as a long paper in NAACL 2021
LightSeq: A High Performance Inference Library for Transformers
Comments 8 pages, 6 figures, accepted by NAACL 2021 Industry Track
Measuring the `I don't know' Problem through the Lens of Gricean Quantity
Comments to appear at NAACL 2021
Revisiting Document Representations for Large-Scale Zero-Shot Learning
Comments Accepted to NAACL 2021
Modeling Event Plausibility with Consistent Conceptual Abstraction
Comments NAACL-HLT 2021
Evaluating the Impact of a Hierarchical Discourse Representation on Entity Coreference Resolution Performance
Comments Also contains the Appendix. Accepted to NAACL 2021 as a short paper
Everything Has a Cause: Leveraging Causal Inference in Legal Text Analysis
Comments Accepted by NAACL 2021. Code is available at https://github.com/xxxiaol/GCI
Intent Features for Rich Natural Language Understanding
Comments Camera-ready for NAACL 2021 Industry Track
NeuroLogic Decoding: (Un)supervised Neural Text Generation with Predicate Logic Constraints
Comments NAACL 2021
Enhancing Cognitive Models of Emotions with Representation Learning
Comments Accepted by the NAACL Workshop on Cognitive Modeling and Computational Linguistics 2021
Addressing the Vulnerability of NMT in Input Perturbations
Comments Accepted by NAACL 2021 Industry Track
Seed Word Selection for Weakly-Supervised Text Classification with Unsupervised Error Estimation
Comments Accepted to NAACL SRW 2021
Mitigating Temporal-Drift: A Simple Approach to Keep NER Models Crisp
Comments Accepted to SocialNLP at NAACL 2021
Refining Targeted Syntactic Evaluation of Language Models
Comments 14 pages, 5 figures, 3 tables. To appear at NAACL 2021
Improving Cross-Modal Alignment in Vision Language Navigation via Syntactic Information
Comments NAACL 2021 (10 pages)
Can Latent Alignments Improve Autoregressive Machine Translation?
Comments Accepted to NAACL 2021
Bootstrapping Large-Scale Fine-Grained Contextual Advertising Classifier from Wikipedia
Comments Accepted to TextGraphs-15 Workshop @ NAACL 2021
Robust Question Answering Through Sub-part Alignment
Comments NAACL 2021
