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Sharifah Mahani Aljunied

2 accepted papers

2022

A Dataset for Hyper-Relational Extraction and a Cube-Filling Approach

EMNLP 2022main

Relation extraction has the potential for large-scale knowledge graph construction, but current methods do not consider the qualifier attributes for each relation triplet, such as time, quantity or location. The qualifiers form hyper-relational facts which better capture the rich and complex knowled…

2022

Revisiting DocRED - Addressing the False Negative Problem in Relation Extraction

EMNLP 2022main

The DocRED dataset is one of the most popular and widely used benchmarks for document-level relation extraction (RE). It adopts a recommend-revise annotation scheme so as to have a large-scale annotated dataset. However, we find that the annotation of DocRED is incomplete, i.e., false negative sampl…