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Found 4 papers, 3 papers with code
JSEEGraph: Joint Structured Event Extraction as Graph Parsing
We propose a graph-based event extraction framework JSEEGraph that approaches the task of event extraction as general graph parsing in the tradition of Meaning Representation Parsing.
EventGraph at CASE 2021 Task 1: A General Graph-based Approach to Protest Event Extraction
This paper presents our submission to the 2022 edition of the CASE 2021 shared task 1, subtask 4.
EventGraph: Event Extraction as Semantic Graph Parsing
Event extraction therefore becomes a graph parsing problem, which provides the following advantages: 1) performing event detection and argument extraction jointly; 2) detecting and extracting multiple events from a piece of text; and 3) capturing the complicated interaction between event arguments and triggers.
Uppsala NLP at SemEval-2021 Task 2: Multilingual Language Models for Fine-tuning and Feature Extraction in Word-in-Context Disambiguation
XLMR performs better than mBERT in the cross-lingual setting both with fine-tuning and feature extraction, whereas these two models give a similar performance in the multilingual setting.
