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most citedUppsala NLP at SemEval-2021 Task 2: Multilingual Language Models for Fine-tuning and Feature Extraction in Word-in-Context Disambiguation

1 citations · 2 across the 4 of their papers we have counts for

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cs.CL2025

Event-based evaluation of abstractive news summarization

Huiling You, Samia Touileb, Erik Velldal +1

An abstractive summary of a news article contains its most important information in a condensed version. The evaluation of automatically generated summaries by generative language…

cs.CL2023

JSEEGraph: Joint Structured Event Extraction as Graph Parsing

Huiling You, Samia Touileb, Lilja Øvrelid

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 Parsi…

cs.CL2022

EventGraph at CASE 2021 Task 1: A General Graph-based Approach to Protest Event Extraction

Huiling You, David Samuel, Samia Touileb +1

This paper presents our submission to the 2022 edition of the CASE 2021 shared task 1, subtask 4. The EventGraph system adapts an end-to-end, graph-based semantic parser to the tas…

cs.CL20221 cited

EventGraph: Event Extraction as Semantic Graph Parsing

Huiling You, David Samuel, Samia Touileb +1

Event extraction involves the detection and extraction of both the event triggers and corresponding event arguments. Existing systems often decompose event extraction into multiple…

cs.CL20211 cited

Uppsala NLP at SemEval-2021 Task 2: Multilingual Language Models for Fine-tuning and Feature Extraction in Word-in-Context Disambiguation

Huiling You, Xingran Zhu, Sara Stymne

We describe the Uppsala NLP submission to SemEval-2021 Task 2 on multilingual and cross-lingual word-in-context disambiguation. We explore the usefulness of three pre-trained multi…