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Lingxing Kong

3 accepted papers

2024

A Hierarchical Network for Multimodal Document-Level Relation Extraction

AAAI 2024technical

Document-level relation extraction aims to extract entity relations that span across multiple sentences. This task faces two critical issues: long dependency and mention selection. Prior works address the above problems from the textual perspective, however, it is hard to handle these problems solel…

2024

EmoRED: A Dataset for Relation Extraction in Texts with Emoticons

ICASSP 2024accepted

Relation extraction (RE) is a vital task within natural language processing. Previous works predominantly focus on extracting relations from plain text. However, with the evolution of communication habits, many individuals employ symbolic representations, e.g. emoticons, to convey nuanced informatio…

Cited by 0SourceScholar
2024

MixRED: A Mix-lingual Relation Extraction Dataset

COLING 2024main

Relation extraction is a critical task in the field of natural language processing with numerous real-world applications. Existing research primarily focuses on monolingual relation extraction or cross-lingual enhancement for relation extraction. Yet, there remains a significant gap in understanding…