Aug. 10, 2023, 4:47 a.m. | Stefan Pasch, Dimitrios Petridis

cs.CL updates on arXiv.org arxiv.org

In the context of the ACM KDF-SIGIR 2023 competition, we undertook an entity
relation task on a dataset of financial entity relations called REFind. Our
top-performing solution involved a multi-step approach. Initially, we inserted
the provided entities at their corresponding locations within the text.
Subsequently, we fine-tuned the transformer-based language model roberta-large
for text classification by utilizing a labeled training set to predict the
entity relations. Lastly, we implemented a post-processing phase to identify
and handle improbable predictions generated by …

acm arxiv competition context dataset extraction financial locations relations solution text

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