Embodied BERT: A Transformer Model for Embodied, Language-guided Visual Task Completion
Comments Accepted at Novel Ideas in Learning-to-Learn through Interaction (NILLI) workshop @ EMNLP 2021
期刊&会议
EMNLP
Conference on Empirical Methods in Natural Language Processing · 会议 · Natural Language Processing
Athena 2.0: Contextualized Dialogue Management for an Alexa Prize SocialBot
Comments Accepted to EMNLP 2021 System Demonstrations
ONION: A Simple and Effective Defense Against Textual Backdoor Attacks
Comments Accepted by the main conference of EMNLP 2021 as a short paper. The camera-ready version
Learning Implicit Sentiment in Aspect-based Sentiment Analysis with Supervised Contrastive Pre-Training
Comments Accepted as a long paper in the main conference of EMNLP 2021
Text Detoxification using Large Pre-trained Neural Models
Comments Accepted to the EMNLP 2021 conference
A Simple and Effective Positional Encoding for Transformers
Comments Accepted by EMNLP
LMdiff: A Visual Diff Tool to Compare Language Models
Comments EMNLP 2021 Demo Paper
Diverse Distributions of Self-Supervised Tasks for Meta-Learning in NLP
Comments To appear at EMNLP 2021
Switch Point biased Self-Training: Re-purposing Pretrained Models for Code-Switching
Comments Accepted at EMNLP Findings 2021
Improved Latent Tree Induction with Distant Supervision via Span Constraints
Comments EMNLP 2021
On the Robustness of Intent Classification and Slot Labeling in Goal-oriented Dialog Systems to Real-world Noise
Comments To be presented at NLP for Conversational AI, EMNLP 2021
Cryptonite: A Cryptic Crossword Benchmark for Extreme Ambiguity in Language
Comments EMNLP 2021
Enhanced Language Representation with Label Knowledge for Span Extraction
Comments Accepted to the main conference of EMNLP 2021 (long paper)
Conical Classification For Computationally Efficient One-Class Topic Determination
Comments Findings in Empirical Methods in Natural Language Processing 2021
Hierarchical Heterogeneous Graph Representation Learning for Short Text Classification
Comments Accepted to EMNLP 2021
Achieving Model Robustness through Discrete Adversarial Training
Comments EMNLP 2021
Unsupervised Multiple Choices Question Answering: Start Learning from Basic Knowledge
Comments Accepted by EMNLP 2021 MRQA workshop
To Share or not to Share: Predicting Sets of Sources for Model Transfer Learning
Comments Accepted at EMNLP 2021
Answering Open-Domain Questions of Varying Reasoning Steps from Text
Comments EMNLP 2021. Peng Qi, Haejun Lee, and TG Sido contributed equally
FAME: Feature-Based Adversarial Meta-Embeddings for Robust Input Representations
Comments Accepted at EMNLP 2021
How to Leverage Multimodal EHR Data for Better Medical Predictions?
Comments Accepted by EMNLP 2021
Learning to Learn End-to-End Goal-Oriented Dialog From Related Dialog Tasks
Comments Workshop on NLP for Conversational AI, EMNLP 2021
Classification of hierarchical text using geometric deep learning: the case of clinical trials corpus
Comments Accepted as a long paper in EMNLP 2021 - Oral presentation to the Machine Learning track
Integrating Deep Event-Level and Script-Level Information for Script Event Prediction
Comments EMNLP 2021 long paper (main conference)
Navigating the Kaleidoscope of COVID-19 Misinformation Using Deep Learning
Comments The 2021 Conference on Empirical Methods in Natural Language Processing (EMNLP)
Amendable Generation for Dialogue State Tracking
Comments Presented at EMNLP 2021 NLP4ConvAI Workshop
Structure-aware Fine-tuning of Sequence-to-sequence Transformers for Transition-based AMR Parsing
Comments EMNLP 2021 main conference
Dense Hierarchical Retrieval for Open-Domain Question Answering
Comments EMNLP 2021 Findings
Data-to-text Generation by Splicing Together Nearest Neighbors
Comments EMNLP 2021; figures updated/improved
Abstract, Rationale, Stance: A Joint Model for Scientific Claim Verification
Comments EMNLP 2021
