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SUMBT: Slot-Utterance Matching for Universal and Scalable Belief Tracking 

Demoting the Lead Bias in News Summarization via Alternating Adversarial Learning 

Let Me Choose: From Verbal Context to Font Selection  

A Survey on Natural Language Processing for Fake News Detection 

Mapping ESG Trends by Distant Supervision of Neural Language Model  

When and Why does a Model Fail? A Human-in-the-loop Error Detection Framework for Sentiment Analysis 

EASE: Extractive-Abstractive Summarization with Explanations  

MERL: Multimodal Event Representation Learning in Heterogeneous Embedding Spaces

Efficient Dialogue State Tracking by Selectively Overwriting Memory

FEQA: A Question Answering Evaluation Framework for Faithfulness Assessment in Abstractive Summarization

Big Bird: Transformers for Longer Sequences

Beyond Accuracy: Behavioral Testing of NLP Models with CheckList