LEGO-ABSA: A Prompt-based Task Assemblable Unified Generative Framework for Multi-task Aspect-based Sentiment Analysis

no code implementations • COLING 2022 • Tianhao Gao, Jun Fang, Hanyu Liu, Zhiyuan Liu, Chao Liu, Pengzhang Liu, Yongjun Bao, Weipeng Yan

This paper proposes a unified generative multi-task framework that can solve multiple ABSA tasks by controlling the type of task prompts consisting of multiple element prompts.

Aspect-Based Sentiment Analysis Aspect-Based Sentiment Analysis (ABSA)

Joint Event Extraction via Structural Semantic Matching

no code implementations • 6 Jun 2023 • Haochen Li, Tianhao Gao, Jingkun Wang, Weiping Li

Event Extraction (EE) is one of the essential tasks in information extraction, which aims to detect event mentions from text and find the corresponding argument roles.

Event Detection Event Extraction

Constructing Canonical Regions for Fast and Effective View Selection

no code implementations • CVPR 2016 • Wencheng Wang, Tianhao Gao

In this paper, we propose a search strategy by identifying the regions that are very likely to contain best views, referred to as canonical regions.