Event extraction (EE) is a crucial research task for promptly apprehending event information
from massive textual data. With the rapid development of deep learning, EE based on deep …

Twitter has been shown to be a fast and reliable method for disease surveillance of common
illnesses like influenza. However, previous work has relied on simple content analysis …

Natural language understanding depends heavily on assessing veridicality—whether
events mentioned in a text are viewed as happening or not—but little consideration is given …

Identifying the veracity, or factuality, of event mentions in text is fundamental for reasoning
about eventualities in discourse. Inferences derived from events judged as not having …

Traditionally, most research in NLP has focused on propositional aspects of meaning. To
truly understand language, however, extra-propositional aspects are equally important …

Event factuality prediction (EFP) is the task of assessing the degree to which an event
mentioned in a sentence has happened. For this task, both syntactic and semantic …

We present a novel end-to-end generative task and system for predicting event factuality
holders, targets, and their associated factuality values. We perform the first experiments …

Event factuality indicates the degree of certainty about whether an event occurs in the real
world. Existing studies mainly focus on identifying event factuality at sentence level, which …

Subjectivity and sentiment analysis (SSA) is an area that has been witnessing a flurry of
novel research. However, only few attempts have been made to build SSA systems for …

Sentiment analysis (SA) has received growing attention in Arabic language research.
However, few studies have yet to directly apply SA to Arabic due to lack of a publicly …