1Cademy @ Causal News Corpus 2022: Enhance Causal Span Detection via Beam-Search-based Position Selector
Xingran Chen, Ge Zhang, Adam Nik, Mingyu Li, Jie Fu · 2022
In this paper, we present our approach and empirical observations for Cause-Effect Signal Span Detection-Subtask 2 of Shared task 3 (Tan et al., 2022a) at CASE 2022.The shared task aims to extract the cause, effect, and signal spans from a given causal sentence.We model the task as a reading comprehension (RC) problem and apply a token-level RC-based span prediction paradigm to the task as the baseline.We explore different training objectives to fine-tune the model, as well as data augmentation (DA) tricks based on the language model (LM) for performance improvement.Additionally, we propose an efficient beam-search post-processing strategy to due with the drawbacks of span detection to obtain a further performance gain.Our approach achieves an average F 1 score of 54.15 and ranks 1 st in the CASE competition.Our code is available at https://github.com/ Gzhang-umich/1CademyTeamOfCASE.