Translating training data into target languages has proven beneficial fo...
Event argument extraction (EAE) identifies event arguments and their spe...
Existing efforts on text synthesis for code-switching mostly require tra...
Paraphrase generation is a long-standing task in natural language proces...
Relation Extraction (RE) has been extended to cross-document scenarios
b...
Relational structure extraction covers a wide range of tasks and plays a...
Numerous events occur worldwide and are documented in the news, social m...
Relation extraction (RE) models have been challenged by their reliance o...
We present a study on leveraging multilingual pre-trained generative lan...
Event extraction (EE), the task that identifies event triggers and their...
Stories and narratives are composed based on a variety of events.
Unders...
The ability to capture complex linguistic structures and long-term
depen...
We propose a novel deep structured learning framework for event temporal...
Deep neural network models for speech recognition have achieved great su...
We apply sequence-to-sequence model to mitigate the impact of speech
rec...