A survey on deep learning event extraction: Approaches and applications
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 …
from massive textual data. With the rapid development of deep learning, EE based on deep …
MAVEN-Fact: A Large-scale Event Factuality Detection Dataset
Event Factuality Detection (EFD) task determines the factuality of textual events, ie,
classifying whether an event is a fact, possibility, or impossibility, which is essential for …
classifying whether an event is a fact, possibility, or impossibility, which is essential for …
A Survey on Automatic Credibility Assessment of Textual Credibility Signals in the Era of Large Language Models
In the current era of social media and generative AI, an ability to automatically assess the
credibility of online social media content is of tremendous importance. Credibility …
credibility of online social media content is of tremendous importance. Credibility …
[PDF][PDF] Document-level Event Factuality Identification via Reinforced Multi-Granularity Hierarchical Attention Networks.
Abstract Document-level Event Factuality Identification (DEFI) predicts the event factuality
according to the current document, and mainly depends on event-related tokens and …
according to the current document, and mainly depends on event-related tokens and …
Document-level event factuality identification via machine reading comprehension frameworks with transfer learning
Abstract Document-level Event Factuality Identification (DEFI) predicts the factuality of a
specific event based on a document from which the event can be derived, which is a …
specific event based on a document from which the event can be derived, which is a …
Incorporating factuality inference to identify document-level event factuality
Abstract Document-level Event Factuality Identification (DEFI) refers to identifying the degree
of certainty that a specific event occurs in a document. Previous studies on DEFI failed to link …
of certainty that a specific event occurs in a document. Previous studies on DEFI failed to link …
Trucidator: Document-level Event Factuality Identification via Hallucination Enhancement and Cross-Document Inference
Document-level event factuality identification (DEFI) assesses the veracity degree to which
an event mentioned in a document has happened, which is crucial for many natural …
an event mentioned in a document has happened, which is crucial for many natural …
Prompt2Gaussia: Uncertain Prompt-learning for Script Event Prediction
Script Event Prediction (SEP) aims to predict the subsequent event for a given event chain
from a candidate list. Prior research has achieved great success by integrating external …
from a candidate list. Prior research has achieved great success by integrating external …
[PDF][PDF] Modal dependency parsing via language model priming
The task of modal dependency parsing aims to parse a text into its modal dependency
structure, which is a representation for the factuality of events in the text. We design a modal …
structure, which is a representation for the factuality of events in the text. We design a modal …
Code: Contrastive learning method for document-level event factuality identification
Document-level event factuality identification (DEFI) aims to assess the veracity degree to
which an event mentioned in a document has happened, which is crucial and fundamental …
which an event mentioned in a document has happened, which is crucial and fundamental …