Jinxi Liu — accepted AI-conference papers

2023

Causality-aware Concept Extraction based on Knowledge-guided Prompting

Siyu Yuan, Deqing Yang, Jinxi Liu, Shuyu Tian, Jiaqing Liang, Yanghua Xiao +1

ACL 2023long

Concepts benefit natural language understanding but are far from complete in existing knowledge graphs (KGs). Recently, pre-trained language models (PLMs) have been widely used in text-based concept extraction (CE). However, PLMs tend to mine the co-occurrence associations from massive corpus as pre…

Cited by 15 Source ↗PDF ↗code ↗Scholar ↗

2022

Generative Entity Typing with Curriculum Learning

Siyu Yuan, Deqing Yang, Jiaqing Liang, Zhixu Li, Jinxi Liu, Jingyue Huang +1

EMNLP 2022main

Entity typing aims to assign types to the entity mentions in given texts. The traditional classification-based entity typing paradigm has two unignorable drawbacks: 1) it fails to assign an entity to the types beyond the predefined type set, and 2) it can hardly handle few-shot and zero-shot situati…

Cited by 17 Source ↗PDF ↗code ↗Scholar ↗