The most popular Cross-Document Event Coreference Resolution (CDEC) datasets fail to convey the true difficulty of the task, due to the lack of lexical diversity between coreferring event triggers (words or phrases that refer to an event). Furthermore, there is a dearth of event datasets for figurative language, limiting a crucial avenue of research in event comprehension. We address these two issues by introducing ECB+META, a lexically rich variant of Event Coref Bank Plus (ECB+) for CDEC on symbolic and metaphoric language. We use ChatGPT as a tool for the metaphoric transformation of sentences in the documents of ECB+, then tag the original event triggers in the transformed sentences in a semi-automated manner. In this way, we avoid the re-annotation of expensive coreference links. We present results that show existing methods that work well on ECB+ struggle with ECB+META, thereby paving the way for CDEC research on a much more challenging dataset. Code/data: https://github.com/ahmeshaf/llms_coref

Generating Harder Cross-document Event Coreference Resolution Datasets using Metaphoric Paraphrasing

Describing the main take-away points of our paper, 1Cademy at Semeval-2022 Task 1: Investigating the Effectiveness of Multilingual, Multitask, and Language-Agnostic Tricks for the Reverse Dictionary Task, including different architectures, re-tokenization, multilingual models and multitask models.

1Cademy at Semeval-2022 Task 1: Investigating the Effectiveness of Multilingual,
Multitask, and Language-Agnostic Tricks for the Reverse Dictionary Task

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W25: SemEval-2022: 15th International Workshop on Semantic Evaluation

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## Welcome to NAACL 2022!
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NAACL 2022

2022 Annual Conference of the North American Chapter of the Association for Computational Linguistics

Zhiyong Wang

2

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Generating Harder Cross-document Event Coreference Resolution Datasets using Metaphoric Paraphrasing

1Cademy at Semeval-2022 Task 1: Investigating the Effectiveness of Multilingual, Multitask, and Language-Agnostic Tricks for the Reverse Dictionary Task

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