From Discourse to Narrative: Knowledge Projection for Event Relation Extraction

06/16/2021
by   Jialong Tang, et al.
0

Current event-centric knowledge graphs highly rely on explicit connectives to mine relations between events. Unfortunately, due to the sparsity of connectives, these methods severely undermine the coverage of EventKGs. The lack of high-quality labelled corpora further exacerbates that problem. In this paper, we propose a knowledge projection paradigm for event relation extraction: projecting discourse knowledge to narratives by exploiting the commonalities between them. Specifically, we propose Multi-tier Knowledge Projection Network (MKPNet), which can leverage multi-tier discourse knowledge effectively for event relation extraction. In this way, the labelled data requirement is significantly reduced, and implicit event relations can be effectively extracted. Intrinsic experimental results show that MKPNet achieves the new state-of-the-art performance, and extrinsic experimental results verify the value of the extracted event relations.

READ FULL TEXT

page 1

page 2

page 3

page 4

11/17/2021

Multi-Attribute Relation Extraction (MARE) – Simplifying the Application of Relation Extraction

Natural language understanding's relation extraction makes innovative an...
12/07/2020

Big Green at WNUT 2020 Shared Task-1: Relation Extraction as Contextualized Sequence Classification

Relation and event extraction is an important task in natural language p...
09/05/2019

Rewarding Coreference Resolvers for Being Consistent with World Knowledge

Unresolved coreference is a bottleneck for relation extraction, and high...
09/22/2019

Deep Structured Neural Network for Event Temporal Relation Extraction

We propose a novel deep structured learning framework for event temporal...
02/22/2021

REMOD: Relation Extraction for Modeling Online Discourse

The enormous amount of discourse taking place online poses challenges to...
10/13/2020

Joint Constrained Learning for Event-Event Relation Extraction

Understanding natural language involves recognizing how multiple event m...
09/08/2020

High-throughput relation extraction algorithm development associating knowledge articles and electronic health records

Objective: Medical relations are the core components of medical knowledg...