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Xiaoxu Zhu

3 accepted papers

2025

Enhancing Zero-Shot Cross-Lingual Event Argument Extraction with Language-Independent Information

ICASSP 2025accepted

In previous research on zero-shot cross-lingual event argument extraction (EAE), almost no one has considered constructing models that utilize language-independent information to promote cross-lingual transfer and improve model performance. In the paper, building on previous studies, we take them a…

Cited by 0SourceScholar
2025

Trucidator: Document-level Event Factuality Identification via Hallucination Enhancement and Cross-Document Inference

COLING 2025main

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 language processing tasks. Previous work assesses event factuality by solely relying on the semantic information within a singl…

2023

Incorporating Factuality Inference to Identify Document-level Event Factuality

ACL 2023findings

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 the document-level event factuality with various sentence-level factuality values in the same document. In this pape…