4-ary Relation Extraction

2 papers with code • 1 benchmarks • 1 datasets

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Datasets


Most implemented papers

Iterative Document-level Information Extraction via Imitation Learning

wanmok/iterx 12 Oct 2022

We present a novel iterative extraction model, IterX, for extracting complex relations, or templates (i. e., N-tuples representing a mapping from named slots to spans of text) within a document.

Document-level Entity-based Extraction as Template Generation

PlusLabNLP/TempGen EMNLP 2021

Document-level entity-based extraction (EE), aiming at extracting entity-centric information such as entity roles and entity relations, is key to automatic knowledge acquisition from text corpora for various domains.