{"id":2,"date":"2022-01-28T14:56:34","date_gmt":"2022-01-28T14:56:34","guid":{"rendered":"https:\/\/temu.bsc.es\/livingner\/?page_id=2"},"modified":"2023-02-28T11:35:13","modified_gmt":"2023-02-28T10:35:13","slug":"sample-page","status":"publish","type":"page","link":"https:\/\/temu.bsc.es\/livingner\/","title":{"rendered":"Home"},"content":{"rendered":"\n<h2 class=\"wp-block-heading\" id=\"livingner-recognition-and-normalization-of-species\"><strong>LivingNER<\/strong>: Named entity recognition, normalization &amp; classification of species, pathogens and food <\/h2>\n\n\n\n<blockquote class=\"wp-block-quote is-layout-flow wp-block-quote-is-layout-flow\">\n<p>The <strong>LivingNER Track<\/strong>&nbsp;is promoted by <a rel=\"noreferrer noopener\" href=\"https:\/\/www.plantl.gob.es\/Paginas\/index.aspx\" target=\"_blank\"><strong>Plan de Impulso de las Tecnolog\u00edas del Lenguaje (Plan TL)<\/strong><\/a><\/p>\n<\/blockquote>\n\n\n\n<h4 class=\"wp-block-heading\"><strong>Generated resources<\/strong><\/h4>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Data:&nbsp;<a rel=\"noreferrer noopener\" href=\"https:\/\/doi.org\/10.5281\/zenodo.6376662\" target=\"_blank\">Gold Standard<\/a>,&nbsp;<a rel=\"noreferrer noopener\" href=\"https:\/\/doi.org\/10.5281\/zenodo.6376662\" target=\"_blank\">Multilingual Corpus<\/a>, Silver Standard&nbsp;&amp;&nbsp;<a rel=\"noreferrer noopener\" href=\"https:\/\/doi.org\/10.5281\/zenodo.6385162\" target=\"_blank\">Annotation Guidelines<\/a><\/li>\n\n\n\n<li><a href=\"https:\/\/rua.ua.es\/dspace\/bitstream\/10045\/127432\/1\/PLN_69_21.pdf\" target=\"_blank\" rel=\"noreferrer noopener\">Task Overview paper<\/a>, <a rel=\"noreferrer noopener\" href=\"http:\/\/ceur-ws.org\/Vol-3202\/\" target=\"_blank\">Conference Proceedings<\/a><\/li>\n\n\n\n<li>YouTube presentation (TBA)<\/li>\n\n\n\n<li><a rel=\"noreferrer noopener\" href=\"https:\/\/temu.bsc.es\/livingner\/2022\/08\/11\/participant-systems\/\" target=\"_blank\">Participant codes<\/a><\/li>\n<\/ul>\n\n\n\n<p><strong>* NEW February 28th 2023: <\/strong>The annotated Test Set has been publicly released<\/p>\n\n\n\n<p><strong>Please, cite us:<\/strong><\/p>\n\n\n\n<p>A. Miranda-Escalada, E. Farr\u00e9-Maduell, S. Lima-L\u00f3pez, D. Estrada, L. Gasc\u00f3, M. Krallinger, Mention detection, normalization &amp; classification of species, pathogens, humans and food in clinical documents: Overview of livingner shared task and resources, Procesamiento del Lenguaje Natural (2022)<\/p>\n\n\n\n<pre class=\"wp-block-preformatted\">@article{amiranda2022nlp,<br>title={Mention detection, normalization \\&amp; classification of species, pathogens, humans and food in clinical documents: Overview of LivingNER shared task and resources},<br>author={Miranda-Escalada, Antonio and Farr{\\'e}-Maduell, Eul{`a}lia and Lima-L{\\'o}pez, Salvador and Estrada, Darryl and Gasc{\\'o}, Luis and Krallinger, Martin},<br>journal = {Procesamiento del Lenguaje Natural},<br>year={2022}<br>}<\/pre>\n\n\n\n<p>This page contains the following information:<\/p>\n\n\n\n<ol class=\"wp-block-list\">\n<li><a href=\"#background-and-motivation\">LivingNER initiative: Background and Motivation<\/a><\/li>\n\n\n\n<li><a href=\"#subtasks\">Task Summary <\/a>\n<ol class=\"wp-block-list\">\n<li><a href=\"#livingner-species-ner-track\">LivingNER-Species NER subtask description<\/a><\/li>\n\n\n\n<li><a href=\"#livingner-species-norm-track\">LivingNER-Species Norm subtask description<\/a><\/li>\n\n\n\n<li><a href=\"#livingner-clinical-impact-track\">LivingNER-Clinical IMPACT subtask description<\/a><\/li>\n<\/ol>\n<\/li>\n\n\n\n<li><a href=\"#LivingNER-Gold-Standard-corpus\">LivingNER Gold Standard corpus<\/a><\/li>\n\n\n\n<li><a href=\"#Scientific-Publications\">Scientific Publications<\/a><\/li>\n<\/ol>\n\n\n\n<hr class=\"wp-block-separator has-css-opacity\"\/>\n\n\n<div class=\"wp-block-image\">\n<figure class=\"aligncenter size-large\"><img loading=\"lazy\" decoding=\"async\" width=\"1024\" height=\"596\" src=\"https:\/\/temu.bsc.es\/livingner\/wp-content\/uploads\/2022\/04\/Screenshot-from-2022-04-07-10-38-02-1024x596.png\" alt=\"\" class=\"wp-image-368\" srcset=\"https:\/\/temu.bsc.es\/livingner\/wp-content\/uploads\/2022\/04\/Screenshot-from-2022-04-07-10-38-02-1024x596.png 1024w, https:\/\/temu.bsc.es\/livingner\/wp-content\/uploads\/2022\/04\/Screenshot-from-2022-04-07-10-38-02-300x175.png 300w, https:\/\/temu.bsc.es\/livingner\/wp-content\/uploads\/2022\/04\/Screenshot-from-2022-04-07-10-38-02-768x447.png 768w, https:\/\/temu.bsc.es\/livingner\/wp-content\/uploads\/2022\/04\/Screenshot-from-2022-04-07-10-38-02.png 1352w\" sizes=\"auto, (max-width: 1024px) 100vw, 1024px\" \/><figcaption class=\"wp-element-caption\">Figure. LivingNER task overview<\/figcaption><\/figure>\n<\/div>\n\n\n<p class=\"has-text-align-center\"><strong><a href=\"https:\/\/sites.google.com\/view\/iberlef2022\" target=\"_blank\" rel=\"noreferrer noopener\">IberLEF 2022<\/a>&nbsp;Workshop @&nbsp;<a href=\"https:\/\/sepln2022.grupolys.org\/en\/sepln-2022-english-page\/\" target=\"_blank\" rel=\"noreferrer noopener\">SEPLN 2022<\/a> (A Coru\u00f1a)<\/strong><\/p>\n\n\n\n<h3 class=\"wp-block-heading\" id=\"background-and-motivation\">1. Background and Motivation<\/h3>\n\n\n\n<p>Organisms\/species have scarcely featured in NLP studies to date, in particular for non-English content. High-quality guidelines and corpora providing granular text-bound semantic annotations are needed to leverage mentions of living creatures in biomedical texts. The annotation of species or living organisms is critical to scientific disciplines like medicine, biology, ecology\/biodiversity, nutrition and agriculture.<\/p>\n\n\n\n<p>Hierarchical taxonomic relations developed over 250 years to determine rules and conventions to catalogue species have been recently transformed into computer-based terminological resources such as NCBI taxonomy, the Thompson scientific name list, the Catalogue of Life, the Global Names Index database and the ITIS Catalogue.<\/p>\n\n\n\n<p>Additionally, there are already available tools for the identification of species from English biomedical literature. For example, LINNAEUS (Gerner et al., 2010) and the SPECIES tool (Pafilis et al., 2013) are capable of detecting species mentions of different types. However, due to their use of rule-based systems and pattern matching, their adaptation to languages other than English is challenging. This is aggravated by the lack of resources, common evaluation scenarios, and shared tasks in other languages.<\/p>\n\n\n\n<p>However, these resources are not fully aligned with the development of automatic systems for semantic analysis of species mentions in documents. Common challenges encountered are: name changes (obsolete species names); homonymy with commonly used words (e.g.: \u201cSpot\u201d refers to the species Leiostomus xanthurus or \u201cPermit\u201d to Trachinotus falcatus); abbreviations (sometime highly ambiguous like EC, which can be used for both for the bacterium Escherichia coli\u201d as well as \u201cendothelial cells\u201d or \u201cendometrial cancer\u201d); incorrect cases or misspelled names (Bacterium coli, Bacillus coli and Escherichia coli for Escherichia coli); coordinations and nested expressions (\u201chuman immunodeficiency viruses types 1 and 2\u201d); vernacular forms (common names); and role names (e.g. athletes, responders).<\/p>\n\n\n\n<p>The LivingNER task will address these issues through a challenge on NER of species mentions and entity linking providing an exhaustively annotated large corpus of Spanish clinical case reports.<\/p>\n\n\n\n<p>LivingNER is the first track on exhaustive species mention recognition and grounding of non-English content with a clear potential for multilingual adaptation, in particular for scientific species mentions with the aim of generating high-quality living being mention recognition components. <\/p>\n\n\n\n<p><\/p>\n\n\n\n<h3 class=\"wp-block-heading\" id=\"subtasks\">2. Task Summary:<\/h3>\n\n\n\n<p>LivingNER proposes the species mention recognition and normalization in Spanish clinical case reports.<\/p>\n\n\n\n<p>Additionally, LivingNER also includes a real-world application shared task. It is a document classification task that requires providing the document class and the supporting evidence. The goal is to show that shared task-developed systems are ready to be used to solve clinical questions.<\/p>\n\n\n\n<p><\/p>\n\n\n\n<p id=\"livingner-species-ner-track\">\u2022 Task 1: <strong>LivingNER-Species NER track <\/strong>(Species mention entity recognition): given a collection of plain text clinical case report documents, participants must return the exact character offsets of all species mentions, <em>both human and non-human<\/em>.<\/p>\n\n\n<div class=\"wp-block-image\">\n<figure class=\"aligncenter size-large is-resized\"><img decoding=\"async\" src=\"https:\/\/temu.bsc.es\/livingner\/wp-content\/uploads\/2022\/04\/Screenshot-from-2022-04-06-18-04-50-1024x283.png\" alt=\"\" class=\"wp-image-353\" width=\"-24\" height=\"-6\" srcset=\"https:\/\/temu.bsc.es\/livingner\/wp-content\/uploads\/2022\/04\/Screenshot-from-2022-04-06-18-04-50-1024x283.png 1024w, https:\/\/temu.bsc.es\/livingner\/wp-content\/uploads\/2022\/04\/Screenshot-from-2022-04-06-18-04-50-300x83.png 300w, https:\/\/temu.bsc.es\/livingner\/wp-content\/uploads\/2022\/04\/Screenshot-from-2022-04-06-18-04-50-768x212.png 768w, https:\/\/temu.bsc.es\/livingner\/wp-content\/uploads\/2022\/04\/Screenshot-from-2022-04-06-18-04-50.png 1117w\" sizes=\"(max-width: 1024px) 100vw, 1024px\" \/><figcaption class=\"wp-element-caption\">Figure 1. Example annotations for LivingNER &#8211; Species NER.<br><\/figcaption><\/figure>\n<\/div>\n\n\n<p id=\"livingner-species-norm-track\">\u2022 Task 2: <strong>LivingNER-Species Norm track<\/strong> (Species mention normalization): given a collection of plain text clinical case report documents, participating systems have to return all species mentions together with their corresponding NCBI taxonomy concept identifiers. Find below an example of the provided dataset for this subtask:<\/p>\n\n\n<div class=\"wp-block-image\">\n<figure class=\"aligncenter size-large is-resized\"><img loading=\"lazy\" decoding=\"async\" src=\"https:\/\/temu.bsc.es\/livingner\/wp-content\/uploads\/2022\/03\/Screenshot-from-2022-03-11-16-58-37-1024x344.png\" alt=\"\" class=\"wp-image-162\" width=\"936\" height=\"314\" srcset=\"https:\/\/temu.bsc.es\/livingner\/wp-content\/uploads\/2022\/03\/Screenshot-from-2022-03-11-16-58-37-1024x344.png 1024w, https:\/\/temu.bsc.es\/livingner\/wp-content\/uploads\/2022\/03\/Screenshot-from-2022-03-11-16-58-37-300x101.png 300w, https:\/\/temu.bsc.es\/livingner\/wp-content\/uploads\/2022\/03\/Screenshot-from-2022-03-11-16-58-37-768x258.png 768w, https:\/\/temu.bsc.es\/livingner\/wp-content\/uploads\/2022\/03\/Screenshot-from-2022-03-11-16-58-37.png 1171w\" sizes=\"auto, (max-width: 936px) 100vw, 936px\" \/><figcaption class=\"wp-element-caption\">Figure 2. Example annotations for LivingNER &#8211; Species NORM.<br><\/figcaption><\/figure>\n<\/div>\n\n\n<p id=\"livingner-clinical-impact-track\">\u2022 Task 3: <strong>LivingNER-Clinical IMPACT track<\/strong>: given a collection of plain text documents, systems will have to:<\/p>\n\n\n\n<ol class=\"wp-block-list\">\n<li>Perform a <strong>binary classification<\/strong> according to information relevant to real-world clinical use cases of high impact. <\/li>\n\n\n\n<li>Retrieve the list of NCBI Tax IDs that <strong>support the binary classification<\/strong>.<\/li>\n<\/ol>\n\n\n\n<p>See here an example annotation for LivingNER-Clinical IMPACT track annotations:<\/p>\n\n\n<div class=\"wp-block-image\">\n<figure class=\"aligncenter size-large\"><img loading=\"lazy\" decoding=\"async\" width=\"1024\" height=\"351\" src=\"https:\/\/temu.bsc.es\/livingner\/wp-content\/uploads\/2022\/04\/Screenshot-from-2022-04-06-16-18-54-1024x351.png\" alt=\"\" class=\"wp-image-313\" srcset=\"https:\/\/temu.bsc.es\/livingner\/wp-content\/uploads\/2022\/04\/Screenshot-from-2022-04-06-16-18-54-1024x351.png 1024w, https:\/\/temu.bsc.es\/livingner\/wp-content\/uploads\/2022\/04\/Screenshot-from-2022-04-06-16-18-54-300x103.png 300w, https:\/\/temu.bsc.es\/livingner\/wp-content\/uploads\/2022\/04\/Screenshot-from-2022-04-06-16-18-54-768x264.png 768w, https:\/\/temu.bsc.es\/livingner\/wp-content\/uploads\/2022\/04\/Screenshot-from-2022-04-06-16-18-54.png 1177w\" sizes=\"auto, (max-width: 1024px) 100vw, 1024px\" \/><figcaption class=\"wp-element-caption\">Figure 7. Example annotations for LivingNER &#8211; Clinical IMPACT<\/figcaption><\/figure>\n<\/div>\n\n\n<p>Systems have to categorize the documents in the following information axes:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li><em>Pets and farm animals<\/em>: detect whether the document contains information corresponding to pets and farm animals <strong>that<\/strong> <strong>live together with the patient<\/strong> (important for detection of animal-transmitted diseases such as toxoplasmosis, salmonellosis, cat-scratch disease, etc.). And retrieve the list of NCBI Tax IDs of the mentioned <em>pets and farm animals.<\/em><\/li>\n<\/ul>\n\n\n<div class=\"wp-block-image\">\n<figure class=\"aligncenter size-full\"><img loading=\"lazy\" decoding=\"async\" width=\"825\" height=\"237\" src=\"https:\/\/temu.bsc.es\/livingner\/wp-content\/uploads\/2022\/04\/Screenshot-from-2022-04-06-15-29-18.png\" alt=\"\" class=\"wp-image-300\" srcset=\"https:\/\/temu.bsc.es\/livingner\/wp-content\/uploads\/2022\/04\/Screenshot-from-2022-04-06-15-29-18.png 825w, https:\/\/temu.bsc.es\/livingner\/wp-content\/uploads\/2022\/04\/Screenshot-from-2022-04-06-15-29-18-300x86.png 300w, https:\/\/temu.bsc.es\/livingner\/wp-content\/uploads\/2022\/04\/Screenshot-from-2022-04-06-15-29-18-768x221.png 768w\" sizes=\"auto, (max-width: 825px) 100vw, 825px\" \/><figcaption class=\"wp-element-caption\">Figure 3. Example of a <strong>document fragment<\/strong> with a pet\/farm animal (extracted from doc casos_clinicos_infecciosas94).<\/figcaption><\/figure>\n<\/div>\n\n\n<ul class=\"wp-block-list\">\n<li><em>Animal causing injuries<\/em>: detect species mentions corresponding to animals <strong>causing a direct injury on humans<\/strong> like bites, stings, etc. (e.g. spiders, wasps, bees). Parasites are NOT included. And retrieve the list of NCBI Tax IDs of the mentioned <em><em>animal causing injuries<\/em><\/em>.<\/li>\n<\/ul>\n\n\n<div class=\"wp-block-image\">\n<figure class=\"aligncenter size-full\"><img loading=\"lazy\" decoding=\"async\" width=\"817\" height=\"168\" src=\"https:\/\/temu.bsc.es\/livingner\/wp-content\/uploads\/2022\/04\/Screenshot-from-2022-04-06-15-25-01.png\" alt=\"\" class=\"wp-image-299\" srcset=\"https:\/\/temu.bsc.es\/livingner\/wp-content\/uploads\/2022\/04\/Screenshot-from-2022-04-06-15-25-01.png 817w, https:\/\/temu.bsc.es\/livingner\/wp-content\/uploads\/2022\/04\/Screenshot-from-2022-04-06-15-25-01-300x62.png 300w, https:\/\/temu.bsc.es\/livingner\/wp-content\/uploads\/2022\/04\/Screenshot-from-2022-04-06-15-25-01-768x158.png 768w\" sizes=\"auto, (max-width: 817px) 100vw, 817px\" \/><figcaption class=\"wp-element-caption\">Figure 4. Example of a <strong>document fragment<\/strong> with an animal causing injuries (extracted from doc caso_clinico_urgencias37)<\/figcaption><\/figure>\n<\/div>\n\n\n<ul class=\"wp-block-list\">\n<li><em>Food species<\/em>: detect <strong>all species mentions corresponding to food<\/strong>. This includes ingested aliments, but also any other food mentions appearing in the document. This does not include other entities intaken by the patient but are not food. And retrieve the list of NCBI Tax IDs of the mentioned <em>food species<\/em>.<\/li>\n<\/ul>\n\n\n<div class=\"wp-block-image\">\n<figure class=\"aligncenter size-full\"><img loading=\"lazy\" decoding=\"async\" width=\"789\" height=\"128\" src=\"https:\/\/temu.bsc.es\/livingner\/wp-content\/uploads\/2022\/04\/Screenshot-from-2022-04-06-15-32-10.png\" alt=\"\" class=\"wp-image-303\" srcset=\"https:\/\/temu.bsc.es\/livingner\/wp-content\/uploads\/2022\/04\/Screenshot-from-2022-04-06-15-32-10.png 789w, https:\/\/temu.bsc.es\/livingner\/wp-content\/uploads\/2022\/04\/Screenshot-from-2022-04-06-15-32-10-300x49.png 300w, https:\/\/temu.bsc.es\/livingner\/wp-content\/uploads\/2022\/04\/Screenshot-from-2022-04-06-15-32-10-768x125.png 768w\" sizes=\"auto, (max-width: 789px) 100vw, 789px\" \/><figcaption class=\"wp-element-caption\">Figure 5. Example of a <strong>document fragment<\/strong> with food entities (extracted from doc caso_clinico_alergologia101)<\/figcaption><\/figure>\n<\/div>\n\n\n<ul class=\"wp-block-list\">\n<li><em>Nosocomial entities<\/em>: detect species mentions corresponding to <strong>nosocomial, hospital-acquired, or healthcare-associated infections.<\/strong> And retrieve the list of NCBI Tax IDs of the mentioned <em>nosocomial pathogens<\/em>.<\/li>\n<\/ul>\n\n\n<div class=\"wp-block-image\">\n<figure class=\"aligncenter size-full\"><img loading=\"lazy\" decoding=\"async\" width=\"842\" height=\"216\" src=\"https:\/\/temu.bsc.es\/livingner\/wp-content\/uploads\/2022\/04\/Screenshot-from-2022-04-06-15-41-14.png\" alt=\"\" class=\"wp-image-304\" srcset=\"https:\/\/temu.bsc.es\/livingner\/wp-content\/uploads\/2022\/04\/Screenshot-from-2022-04-06-15-41-14.png 842w, https:\/\/temu.bsc.es\/livingner\/wp-content\/uploads\/2022\/04\/Screenshot-from-2022-04-06-15-41-14-300x77.png 300w, https:\/\/temu.bsc.es\/livingner\/wp-content\/uploads\/2022\/04\/Screenshot-from-2022-04-06-15-41-14-768x197.png 768w\" sizes=\"auto, (max-width: 842px) 100vw, 842px\" \/><figcaption class=\"wp-element-caption\">Figure 6. Example of a <strong>document fragment<\/strong> with nosocomial entities (extracted from doc 32292054_ES)<\/figcaption><\/figure>\n<\/div>\n\n\n<p id=\"LivingNER-Gold-Standard-corpus\"><strong>3. LivingNER Gold Standard corpus<\/strong><\/p>\n\n\n\n<p>Participation at the LivingNER track allows access to a manually annotated Gold Standard corpus generated by experts in microbiology. The quality of the dataset was assured through elaborate annotation guidelines and consistency analysis (inter-annotation agreement). The clinical cases used for the LivingNER corpus were manually selected and carefully pre-processed, in order to resemble the content of clinical records covering a diversity of medical disciplines.<\/p>\n\n\n\n<p><em>Download the training, validation, test and background sets from&nbsp;<\/em><a rel=\"noreferrer noopener\" href=\"https:\/\/doi.org\/10.5281\/zenodo.6376662\" target=\"_blank\">Zenodo<\/a><em>.<\/em><\/p>\n\n\n<div class=\"wp-block-image\">\n<figure class=\"aligncenter size-large\"><img loading=\"lazy\" decoding=\"async\" width=\"1024\" height=\"763\" src=\"https:\/\/temu.bsc.es\/livingner\/wp-content\/uploads\/2022\/04\/Screenshot-from-2022-04-06-18-18-06-1024x763.png\" alt=\"\" class=\"wp-image-356\" srcset=\"https:\/\/temu.bsc.es\/livingner\/wp-content\/uploads\/2022\/04\/Screenshot-from-2022-04-06-18-18-06-1024x763.png 1024w, https:\/\/temu.bsc.es\/livingner\/wp-content\/uploads\/2022\/04\/Screenshot-from-2022-04-06-18-18-06-300x223.png 300w, https:\/\/temu.bsc.es\/livingner\/wp-content\/uploads\/2022\/04\/Screenshot-from-2022-04-06-18-18-06-768x572.png 768w, https:\/\/temu.bsc.es\/livingner\/wp-content\/uploads\/2022\/04\/Screenshot-from-2022-04-06-18-18-06.png 1070w\" sizes=\"auto, (max-width: 1024px) 100vw, 1024px\" \/><figcaption class=\"wp-element-caption\">Figure 8. An example of LivingNER mention annotations visualized using the BRAT annotation interface and the corresponding annotation TSV for Task LivingNER-Species Norm. Each mention was manually mapped to its corresponding NCBI Taxonomy ID and classified into 4 categories (pet &amp; farm animals, animals causing injuries, food, and nosocomial). <\/figcaption><\/figure>\n<\/div>\n\n\n<p id=\"Scientific-Publications\"><strong>4. Scientific Publications<\/strong><\/p>\n\n\n\n<p>Participants will have the opportunity to publish their system descriptions at the IberLEF proceedings. Have a look at 2021 Meddoprof proceedings (<a rel=\"noreferrer noopener\" href=\"http:\/\/ceur-ws.org\/Vol-2943\/\" target=\"_blank\">here<\/a>) and 2020 Cantemist proceedings (<a rel=\"noreferrer noopener\" href=\"http:\/\/ceur-ws.org\/Vol-2664\/\" target=\"_blank\">here<\/a>).<\/p>\n","protected":false},"excerpt":{"rendered":"<p>LivingNER: Named entity recognition, normalization &amp; classification of species, pathogens and food The LivingNER Track&nbsp;is promoted by Plan de Impulso de las Tecnolog\u00edas del Lenguaje (Plan TL) Generated resources * NEW February 28th 2023: The annotated Test Set has been publicly released Please, cite us: A. Miranda-Escalada, E. Farr\u00e9-Maduell, S. Lima-L\u00f3pez, D. Estrada, L. Gasc\u00f3, [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"open","template":"","meta":{"footnotes":""},"class_list":["post-2","page","type-page","status-publish","hentry"],"_links":{"self":[{"href":"https:\/\/temu.bsc.es\/livingner\/wp-json\/wp\/v2\/pages\/2","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/temu.bsc.es\/livingner\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/temu.bsc.es\/livingner\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/temu.bsc.es\/livingner\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/temu.bsc.es\/livingner\/wp-json\/wp\/v2\/comments?post=2"}],"version-history":[{"count":80,"href":"https:\/\/temu.bsc.es\/livingner\/wp-json\/wp\/v2\/pages\/2\/revisions"}],"predecessor-version":[{"id":479,"href":"https:\/\/temu.bsc.es\/livingner\/wp-json\/wp\/v2\/pages\/2\/revisions\/479"}],"wp:attachment":[{"href":"https:\/\/temu.bsc.es\/livingner\/wp-json\/wp\/v2\/media?parent=2"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}