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Causality-aware Concept Extraction based on Knowledge-guided Prompting

Autor: Yuan, Siyu, Yang, Deqing, Liu, Jinxi, Tian, Shuyu, Liang, Jiaqing, Xiao, Yanghua, Xie, Rui

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-

Externí odkaz: http://arxiv.org/abs/2305.01876

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Generative Entity Typing with Curriculum Learning

Autor: Yuan, Siyu, Yang, Deqing, Liang, Jiaqing, Li, Zhixu, Liu, Jinxi, Huang, Jingyue, Xiao, Yanghua

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) i

Externí odkaz: http://arxiv.org/abs/2210.02914

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Akademický článek

Characterization of D-lactate dehydrogenase in Leuconostoc citreum KM20

Autor: WEN Yuping, LIU Jinxi, JIN Qing, CUI Hushan

Publikováno v: Shipin yu jixie, Vol 40, Iss 2, Pp 36-42 (2024)

Objective: This study focused on investigating the enzymatic characteristics of D-lactate dehydrogenase (D-LDH) in Leuconostoc citreum KM20. Methods: The D-lactate dehydrogenase gene (LDH) from L.citreum KM20 was cloned and expressed to construct exp

Externí odkaz: https://doaj.org/article/a6b2937ec0cc4613b0a32f47075a9c22