PADI-web corpus: Labeled textual data in animal health domain

Rabatel, Julien; Arsevska, Elena; Roche, Mathieu

doi:10.1016/j.dib.2018.12.063

Cited by 8 publications

(4 citation statements)

References 3 publications

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“…We found 7 end‐user tools and 76 published methods papers. For one tool (PADI‐web), we aggregated two full texts into one tool description 29,30 . Those tools automate data extraction across different types of text (i.e., patents, news, trial registrations) and across different media (i.e., digitalised text and videos).…”

Section: Resultsmentioning

confidence: 99%

“…For one tool (PADI-web), we aggregated two full texts into one tool description. 29,30 Those tools automate data extraction across different types of text (i.e., patents, news, trial registrations) and across different media (i.e., digitalised text and videos). For PADI-web, we found accessible web-deployments, giving users the opportunity to test and use the tool.…”

Section: Tool Descriptionsmentioning

confidence: 99%

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Automated data analysis of unstructured grey literature in health research: A mapping review

Schmidt,

Mohamed,

Meader

et al. 2023

Research Synthesis Methods

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The amount of grey literature and ‘softer’ intelligence from social media or websites is vast. Given the long lead‐times of producing high‐quality peer‐reviewed health information, this is causing a demand for new ways to provide prompt input for secondary research. To our knowledge, this is the first review of automated data extraction methods or tools for health‐related grey literature and soft data, with a focus on (semi)automating horizon scans, health technology assessments (HTA), evidence maps, or other literature reviews. We searched six databases to cover both health‐ and computer‐science literature. After deduplication, 10% of the search results were screened by two reviewers, the remainder was single‐screened up to an estimated 95% sensitivity; screening was stopped early after screening an additional 1000 results with no new includes. All full texts were retrieved, screened, and extracted by a single reviewer and 10% were checked in duplicate. We included 84 papers covering automation for health‐related social media, internet fora, news, patents, government agencies and charities, or trial registers. From each paper, we extracted data about important functionalities for users of the tool or method; information about the level of support and reliability; and about practical challenges and research gaps. Poor availability of code, data, and usable tools leads to low transparency regarding performance and duplication of work. Financial implications, scalability, integration into downstream workflows, and meaningful evaluations should be carefully planned before starting to develop a tool, given the vast amounts of data and opportunities those tools offer to expedite research.

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Section: Resultsmentioning

confidence: 99%

Section: Tool Descriptionsmentioning

confidence: 99%

Automated data analysis of unstructured grey literature in health research: A mapping review

Schmidt,

Mohamed,

Meader

et al. 2023

Research Synthesis Methods

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“…could be used (see Section 2.2 ). We have used a labeled dataset [ 41 ] to learn and integrate a domain-specific model, which is able to detect host and disease names, as well as numbers of cases related to an outbreak. Both types of entities (i.e.…”

Section: Methodsmentioning

confidence: 99%

PADI-web 3.0: A new framework for extracting and disseminating fine-grained information from the news for animal disease surveillance

et al. 2021

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PADI-web (Platform for Automated extraction of animal Disease Information from the web) is a biosurveillance system dedicated to monitoring online news sources for the detection of emerging animal infectious diseases. PADI-web has collected more than 380,000 news articles since 2016. Compared to other existing biosurveillance tools, PADI-web focuses specifically on animal health and has a fully automated pipeline based on machine-learning methods. This paper presents the new functionalities of PADI-web based on the integration of: (i) a new fine-grained classification system, (ii) automatic methods to extract terms and named entities with text-mining approaches, (iii) semantic resources for indexing keywords and (iv) a notification system for end-users. Compared to other biosurveillance tools, PADI-web, which is integrated in the French Platform for Animal Health Surveillance (ESA Platform), offers strong coverage of the animal sector, a multilingual approach, an automated information extraction module and a notification tool configurable according to end-user needs.

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“…The DK-Clarin [12] and PADI-web corpus [13] have relatively small amounts of agricultural data. DK-Clarin has 45,000 documents, but the corpus covers other domains than agriculture.…”

Section: Corpusmentioning

confidence: 99%

ENAGRINEWS:An English News Dataset for Agriculture

Drury,

Adelowo

2023

Preprint

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Text mining in agriculture is still lagging behind its application in other domains such as bio-medicine and finance. This might be due to the limited availability of freely available agricultural corpora. To address this issue, a new corpus called ENAGRINEWS has been introduced. The corpus consists of 22,814 agricultural-related documents collected from news sites and blogs between 2020 and 2022 from various agricultural sources and includes 10,999 unique AGROVOC annotations and 12,100 unique entities, with 7,998 of them having PermID URI. The aim of releasing this corpus is to promote and encourage research in Agricultural Text Mining.

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PADI-web corpus: Labeled textual data in animal health domain

Cited by 8 publications

References 3 publications

Automated data analysis of unstructured grey literature in health research: A mapping review

Automated data analysis of unstructured grey literature in health research: A mapping review

PADI-web 3.0: A new framework for extracting and disseminating fine-grained information from the news for animal disease surveillance

ENAGRINEWS:An English News Dataset for Agriculture

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