Luan Huy Pham


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MNLP at FinCausal2022: Nested NER with a Generative Model
Jooyeon Lee | Luan Huy Pham | Özlem Uzuner
Proceedings of the 4th Financial Narrative Processing Workshop @LREC2022

This paper describes work performed for the FinCasual 2022 Shared Task “Financial Document Causality Detection” (FinCausal 2022). As the name implies, the task involves extraction of casual and consequential elements from financial text. Our approach focuses employing Nested NER using the Text-to-Text Transformer (T5) generative transformer models while applying different combinations of datasets and tagging methods. Our system reports accuracy of 79% in Exact Match comparison and F-measure score of 92% token level measurement.