Self-Consistent Reasoning-based Aspect-Sentiment Quad Prediction with Extract-Then-Assign Strategy

Jieyong Kim, Ryang Heo, Yongsik Seo, SeongKu Kang, Jinyoung Yeo +1 more
3/1/2024
cs.CL

No official code found. Best implementation: jieyong99/SCRAP (4 stars, MIT, last commit 2025-05-31).

Abstract

In the task of aspect sentiment quad prediction (ASQP), generative methods for predicting sentiment quads have shown promising results. However, they still suffer from imprecise predictions and limited interpretability, caused by data scarcity and inadequate modeling of the quadruplet composition process. In this paper, we propose Self-Consistent Reasoning-based Aspect-sentiment quadruple Prediction (SCRAP), optimizing its model to generate reasonings and the corresponding sentiment quadruplets in sequence. SCRAP adopts the Extract-Then-Assign reasoning strategy, which closely mimics human cognition. In the end, SCRAP significantly improves the model's ability to handle complex reasoning tasks and correctly predict quadruplets through consistency voting, resulting in enhanced interpretability and accuracy in ASQP.

View on arXivView PDF

Code Implementations(1)

jieyong99/SCRAPCommunity100%
MIT

(ACL 24) Repo for "Self-Consistent Reasoning-based Aspect Sentiment Quad Prediction with Extract-Then-Assign Strategy"

44Shell, PythonFeb 11, 20241 years agoMIT

Similar Papers

Cite this paper

@article{kim2024selfconsistent,
  title  = {Self-Consistent Reasoning-based Aspect-Sentiment Quad Prediction with Extract-Then-Assign Strategy},
  author = {Jieyong Kim and Ryang Heo and Yongsik Seo and SeongKu Kang and Jinyoung Yeo and Dongha Lee},
  year   = {2024},
  eprint = {2403.00354},
  archivePrefix = {arXiv},
  url    = {http://arxiv.org/abs/2403.00354v2}
}

Add a badge to your README

Shows whether official code is linked for this paper.

Code of Paper badge
[![Code of Paper](https://codeofpaper.com/badge/2403.00354.svg)](https://codeofpaper.com/paper/2403.00354)

Discussion