DuIE: A Large-Scale Chinese Dataset for Information Extraction

Li, Shuangjie; He, Wei; Shi, Yabing; Jiang, Wenbin; Liang, Haijin; Jiang, Ye; Zhang, Yang; Lyu, Yajuan; Zhu, Yong

doi:10.1007/978-3-030-32236-6_72

Cited by 33 publications

(9 citation statements)

References 9 publications

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“…These pieces were ultrasonically pre-cleaned by sequential rinses with acetone, distilled water, and ethanol. The hydrothermal bath was an aqueous solution containing a solution 0.15M FeCl3, 1M NaNO3 and 1M Cr(ClO4)3 [59,60,61]. Some drops of hydrochloric acid (HCl) were added to adjust the pH of the mixture to 1.5.…”

Section: Methodsmentioning

confidence: 99%

Hydrothermal synthesis of nanostructured Cr-doped hematite with enhanced photoelectrochemical activity

Bouhjar

Mollar

Chourou

et al. 2018

Electrochimica Acta

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Using the easily applicable hydrothermal method Cr-doped hematite thin films have been deposited polycrystalline on conductive glass substrates. The hydrothermal bath consisted of an aqueous solution containing a mixture of FeCl3.6H2O and NaNO3 at pH = 1.5. The samples were introduced in an autoclave and heated for a fixed time at a fixed temperature and then annealed in air at 550ºC. The concentration of the incorporated Cr atoms (Cr 4+ ions) was controlled by varying the concentration of the Cr(ClO4)3 precursor solution, varied from 0 % to 20 %. All samples followed morphological and structural studies using field-emission scanning electron microscopy, high-resolution transmission electron microscopy and X-ray diffraction. Chronoamperometry measurements showed that Cr-doped hematite films exhibited higher photoelectrochemical activity than the undoped films. The maximum photocurrent density and incident photon conversion efficiencies (IPCE) were obtained for 16 at.% Cr-doped films. This high photoactivity can be attributed to both the large active surface area and increased donor density caused by Cr-doping in the α-Fe2O3 films. All samples reached their best IPCE at 400 nm. IPCE values for 16 at.% Cr-doped hematite films were thirty times higher than that of undoped samples. This high photoelectrochemical performance of Cr-doped hematite films is mainly attributed to an improvement in charge carrier properties.

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Section: Methodsmentioning

confidence: 99%

Hydrothermal synthesis of nanostructured Cr-doped hematite with enhanced photoelectrochemical activity

Bouhjar

Mollar

Chourou

et al. 2018

Electrochimica Acta

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“…This paper uses two datasets to validate our method: the Chinese general relation extraction dataset (DuIE2.0) [19] The document format data is parsed into text through a semi-automatic script, and entities and relationships are extracted from text through regular matching according to some rules and artificial correction. This dataset is based on 820 standard documents containing 20,066 sentences and 51 relation categories.…”

Section: Datasetsmentioning

confidence: 99%

SSGCN: a graph convolutional neural network model based on syntactic structure and similarity features for relation extraction in shipbuilding industry

Bai,

Zheng,

et al. 2023

International Workshop on Signal Processing and Machine Learning (WSPML 2023)

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“…Figure 3 In addition to this toolkit, we also release an open-access online system as shown in Figure 5. Meulder, 2003), OntoNotes5.0 (Pradhan et al, 2013), OntoNotes4.0 (Weischedel et al, 2011), BBN (Weischedel and Brunstein, 2005), KBP37 (Zhang and Wang, 2015), DuIE (Li et al, 2019), ACE2005 (Walker et al, 2006), and Frame 1.5 (Kabbach et al, 2018).…”

Section: Model Trainingmentioning

confidence: 99%

CogIE: An Information Extraction Toolkit for Bridging Texts and CogNet

Jin¹,

Chen

Sui

et al. 2021

Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Confer

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CogNet is a knowledge base that integrates three types of knowledge: linguistic knowledge, world knowledge and commonsense knowledge. In this paper, we propose an information extraction toolkit, called CogIE, which is a bridge connecting raw texts and CogNet. CogIE has three features: versatile, knowledge-grounded and extensible. First, CogIE is a versatile toolkit with a rich set of functional modules, including named entity recognition, entity typing, entity linking, relation extraction, event extraction and framesemantic parsing. Second, as a knowledgegrounded toolkit, CogIE can ground the extracted facts to CogNet and leverage different types of knowledge to enrich extracted results. Third, for extensibility, owing to the design of three-tier architecture, CogIE is not only a plug-and-play toolkit for developers but also an extensible programming framework for researchers. We release an open-access online system 1 to visually extract information from texts. Source code, datasets and pre-trained models are publicly available at GitHub 2 , with a short instruction video 3 .

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DuIE: A Large-Scale Chinese Dataset for Information Extraction

Cited by 33 publications

References 9 publications

Hydrothermal synthesis of nanostructured Cr-doped hematite with enhanced photoelectrochemical activity

Hydrothermal synthesis of nanostructured Cr-doped hematite with enhanced photoelectrochemical activity

SSGCN: a graph convolutional neural network model based on syntactic structure and similarity features for relation extraction in shipbuilding industry

CogIE: An Information Extraction Toolkit for Bridging Texts and CogNet

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