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Found 12 papers, 0 papers with code
Where exactly does contextualization in a PLM happen?
Pre-trained Language Models (PLMs) have shown to be consistently successful in a plethora of NLP tasks due to their ability to learn contextualized representations of words (Ethayarajh, 2019).
Investigating the Encoding of Words in BERT's Neurons using Feature Textualization
Pretrained language models (PLMs) form the basis of most state-of-the-art NLP technologies.
Commonsense Inference in Natural Language Processing (COIN) - Shared Task Report
This paper reports on the results of the shared tasks of the COIN workshop at EMNLP-IJCNLP 2019.
VM Image Repository and Distribution Models for Federated Clouds: State of the Art, Possible Directions and Open Issues
The emerging trend of Federated Cloud models enlist virtualization as a significant concept to offer a large scale distributed Infrastructure as a Service collaborative paradigm to end users.
Distributed, Parallel, and Cluster Computing
MCScript2.0: A Machine Comprehension Corpus Focused on Script Events and Participants
Half of the questions cannot be answered from the reading texts, but require the use of commonsense and, in particular, script knowledge.
SemEval-2018 Task 11: Machine Comprehension Using Commonsense Knowledge
This report summarizes the results of the SemEval 2018 task on machine comprehension using commonsense knowledge.
MCScript: A Novel Dataset for Assessing Machine Comprehension Using Script Knowledge
We introduce a large dataset of narrative texts and questions about these texts, intended to be used in a machine comprehension task that requires reasoning using commonsense knowledge.
Aligning Script Events with Narrative Texts
Script knowledge plays a central role in text understanding and is relevant for a variety of downstream tasks.
InScript: Narrative texts annotated with script information
This paper presents the InScript corpus (Narrative Texts Instantiating Script structure).
