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TitleStatusHype
Tail-to-Tail Non-Autoregressive Sequence Prediction for Chinese Grammatical Error CorrectionCode1
Toward Explainable Users: Using NLP to Enable AI to Understand Users' Perceptions of Cyber Attacks—0
Exploring Discourse Structures for Argument Impact ClassificationCode0
Exploiting Global Contextual Information for Document-level Named Entity Recognition—0
Answer Generation for Retrieval-based Question Answering Systems—0
Discrete Cosine Transform as Universal Sentence Encoder—0
BERT-Defense: A Probabilistic Model Based on BERT to Combat Cognitively Inspired Orthographic Adversarial AttacksCode0
Multilingual Medical Question Answering and Information Retrieval for Rural Health Intelligence Access—0
John praised Mary because he? Implicit Causality Bias and Its Interaction with Explicit Cues in LMs—0
Metaphor Generation with Conceptual MappingsCode1
Hi-Transformer: Hierarchical Interactive Transformer for Efficient and Effective Long Document Modeling—0
A Multi-Level Attention Model for Evidence-Based Fact CheckingCode0
COM2SENSE: A Commonsense Reasoning Benchmark with Complementary SentencesCode1
“Politeness, you simpleton!” retorted [MASK]: Masked prediction of literary characters—0
Annotating Quantified Phenomena in Complex Sentence Structures Using the Example of Generalising Statements in Literary Texts—0
Parsing conjunctions in DisCoCirc—0
LinPP: a Python-friendly algorithm for Linear Pregroup Parsing—0
Implicit representations of event properties within contextual language models: Searching for “causativity neurons”Code0
Tuning Deep Active Learning for Semantic Role Labeling—0
Understanding the Semantic Space: How Word Meanings Dynamically Adapt in the Context of a Sentence—0
What Makes My Model Perplexed? A Linguistic Investigation on Neural Language Models Perplexity—0
Reconstructing Implicit Knowledge with Language ModelsCode1
A survey of part-of-speech tagging approaches applied to K’iche’—0
How Do BERT Embeddings Organize Linguistic Knowledge?—0
Clause Final Verb Prediction in Hindi: Evidence for Noisy Channel Model of Communication—0
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