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Drupal\mathjax\Plugin\Filter\MathjaxFilter->process('If you have published a result better than those on the list, send a message to odesia-comunicacion@lsi.uned.es indicating the result and the DOI of the article, along with a copy of it if it is not published openly.', 'es') (Line: 118)
Drupal\filter\Element\ProcessedText::preRenderText(Array)
call_user_func_array(Array, Array) (Line: 101)
Drupal\Core\Render\Renderer->doTrustedCallback(Array, Array, 'Render #pre_render callbacks must be methods of a class that implements \Drupal\Core\Security\TrustedCallbackInterface or be an anonymous function. The callback was %s. See https://www.drupal.org/node/2966725', 'exception', 'Drupal\Core\Render\Element\RenderCallbackInterface') (Line: 788)
Drupal\Core\Render\Renderer->doCallback('#pre_render', Array, Array) (Line: 374)
Drupal\Core\Render\Renderer->doRender(Array, ) (Line: 204)
Drupal\Core\Render\Renderer->render(Array) (Line: 479)
Drupal\Core\Template\TwigExtension->escapeFilter(Object, Array, 'html', NULL, 1) (Line: 88)
__TwigTemplate_46cf2cb5ce1e020fec29c3375b8ffc02->doDisplay(Array, Array) (Line: 405)
Twig\Template->displayWithErrorHandling(Array, Array) (Line: 378)
Twig\Template->display(Array, Array) (Line: 46)
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Twig\Template->displayWithErrorHandling(Array, Array) (Line: 378)
Twig\Template->display(Array, Array) (Line: 43)
__TwigTemplate_f26e8c96f097e3ee46706be5dc2cf95a->doDisplay(Array, Array) (Line: 405)
Twig\Template->displayWithErrorHandling(Array, Array) (Line: 378)
Twig\Template->display(Array) (Line: 390)
Twig\Template->render(Array) (Line: 55)
twig_render_template('core/themes/classy/templates/field/field--text-with-summary.html.twig', Array) (Line: 384)
Drupal\Core\Theme\ThemeManager->render('field', Array) (Line: 433)
Drupal\Core\Render\Renderer->doRender(Array) (Line: 446)
Drupal\Core\Render\Renderer->doRender(Array, ) (Line: 204)
Drupal\Core\Render\Renderer->render(Array) (Line: 479)
Drupal\Core\Template\TwigExtension->escapeFilter(Object, Array, 'html', NULL, 1) (Line: 80)
__TwigTemplate_038e0db2e394f2fab4504226b512a0bb->block_content(Array, Array) (Line: 182)
Twig\Template->displayBlock('content', Array, Array) (Line: 68)
__TwigTemplate_038e0db2e394f2fab4504226b512a0bb->doDisplay(Array, Array) (Line: 405)
Twig\Template->displayWithErrorHandling(Array, Array) (Line: 378)
Twig\Template->display(Array) (Line: 390)
Twig\Template->render(Array) (Line: 55)
twig_render_template('core/themes/classy/templates/block/block.html.twig', Array) (Line: 384)
Drupal\Core\Theme\ThemeManager->render('block', Array) (Line: 433)
Drupal\Core\Render\Renderer->doRender(Array) (Line: 446)
Drupal\Core\Render\Renderer->doRender(Array, ) (Line: 204)
Drupal\Core\Render\Renderer->render(Array) (Line: 479)
Drupal\Core\Template\TwigExtension->escapeFilter(Object, Array, 'html', NULL, 1) (Line: 115)
__TwigTemplate_d509e6b6442caedd1847c1a3a72daf79->doDisplay(Array, Array) (Line: 405)
Twig\Template->displayWithErrorHandling(Array, Array) (Line: 378)
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Twig\Template->render(Array) (Line: 55)
twig_render_template('themes/custom/b5subtheme/templates/layout/page.html.twig', Array) (Line: 384)
Drupal\Core\Theme\ThemeManager->render('page', Array) (Line: 433)
Drupal\Core\Render\Renderer->doRender(Array, ) (Line: 204)
Drupal\Core\Render\Renderer->render(Array) (Line: 479)
Drupal\Core\Template\TwigExtension->escapeFilter(Object, Array, 'html', NULL, 1) (Line: 102)
__TwigTemplate_b99c06e3bc9b6cb3e9f0ac63503b296b->doDisplay(Array, Array) (Line: 405)
Twig\Template->displayWithErrorHandling(Array, Array) (Line: 378)
Twig\Template->display(Array) (Line: 390)
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twig_render_template('themes/custom/b5subtheme/templates/layout/html.html.twig', Array) (Line: 384)
Drupal\Core\Theme\ThemeManager->render('html', Array) (Line: 433)
Drupal\Core\Render\Renderer->doRender(Array, ) (Line: 204)
Drupal\Core\Render\Renderer->render(Array) (Line: 162)
Drupal\Core\Render\MainContent\HtmlRenderer->Drupal\Core\Render\MainContent\{closure}() (Line: 580)
Drupal\Core\Render\Renderer->executeInRenderContext(Object, Object) (Line: 163)
Drupal\Core\Render\MainContent\HtmlRenderer->renderResponse(Array, Object, Object) (Line: 90)
Drupal\Core\EventSubscriber\MainContentViewSubscriber->onViewRenderArray(Object, 'kernel.view', Object)
call_user_func(Array, Object, 'kernel.view', Object) (Line: 142)
Drupal\Component\EventDispatcher\ContainerAwareEventDispatcher->dispatch(Object, 'kernel.view') (Line: 174)
Symfony\Component\HttpKernel\HttpKernel->handleRaw(Object, 1) (Line: 81)
Symfony\Component\HttpKernel\HttpKernel->handle(Object, 1, 1) (Line: 58)
Drupal\Core\StackMiddleware\Session->handle(Object, 1, 1) (Line: 48)
Drupal\Core\StackMiddleware\KernelPreHandle->handle(Object, 1, 1) (Line: 191)
Drupal\page_cache\StackMiddleware\PageCache->fetch(Object, 1, 1) (Line: 128)
Drupal\page_cache\StackMiddleware\PageCache->lookup(Object, 1, 1) (Line: 82)
Drupal\page_cache\StackMiddleware\PageCache->handle(Object, 1, 1) (Line: 48)
Drupal\Core\StackMiddleware\ReverseProxyMiddleware->handle(Object, 1, 1) (Line: 51)
Drupal\Core\StackMiddleware\NegotiationMiddleware->handle(Object, 1, 1) (Line: 23)
Stack\StackedHttpKernel->handle(Object, 1, 1) (Line: 713)
Drupal\Core\DrupalKernel->handle(Object) (Line: 19)
Tasks
A task is an activity proposed with the purpose of solving a specific NLP problem, generally within the framework of a competition. Below is information about NLP tasks in Spanish from 2013 to the present.
Detection of lexical borrowings IberLEF 2021
- NLP topic: text classification
- Dataset: ADoBo
- Forum: IberLEF
- Competition: ADOBO: Detection of lexical borrowings
- Domain:
- Language(s): Spanish
Humor rating IberLEF 2021
- NLP topic: processing humor
- Dataset: HAHA
- Forum: IberLEF
- Competition: Detecting, Rating and Analyzing Humor in Spanish
- Domain:
- Language(s): Spanish
Fake news detection IberLEF 2021
- NLP topic: fake news detection
- Dataset: FakeDeS
- Forum: IberLEF
- Competition: FakeDeS: Fake news detection
- Domain: COVID, others
- Language(s): Spanish
Emotion classification IberLEF 2021
- NLP topic: sentiment analysis
- Dataset: EmoEventEs
- Forum: IberLEF
- Competition: EmoEvalEs: Emotion detection
- Domain:
- Language(s): Spanish
Polarity classification IberLEF 2021
- NLP topic: sentiment analysis
- Dataset: RestMEX-SA
- Forum: IberLEF
- Competition: RestMEX: Recommendation System for Text Mexican Tourism
- Domain: Tourism
- Language(s): Spanish (Mexico)
Contextual classification of offensive comments IberLEF 2021
- NLP topic: hate detection
- Dataset: MeOffendES
- Forum: IberLEF
- Competition: MeOffendES: Detection of offensive language
- Domain:
- Language(s): Spanish
MEDDOPROF - Named entity recognition IberLEF 2021
- NLP topic: (named) entity recognition
- Dataset: MEDDOPROF
- Forum: IberLEF
- Competition: Recognition, classification and normalization of professions and occupations from medical texts
- Domain: Health
- Language(s): Spanish
Entity recognition IberLEF 2021
- NLP topic: (named) entity recognition
- Dataset: eHealth-KD-ES
- Forum: IberLEF
- Competition: eHealth Knowledge Discovery
- Domain: Health
- Language(s): Spanish, English
Humor logic mechanism classification IberLEF 2021
- NLP topic: processing humor
- Dataset: HAHA
- Forum: IberLEF
- Competition: Detecting, Rating and Analyzing Humor in Spanish
- Domain:
- Language(s): Spanish
Sexism identification IberLEF 2021
- NLP topic: hate detection
- Dataset: EXIST-2021-ES
- Forum: IberLEF
- Competition: EXIST: Sexism detection in Twitter
- Domain:
- Language(s): Spanish, English
Stance detection IberLEF 2021
- NLP topic: sentiment analysis
- Dataset: VaxxStance-ES
- Forum: IberLEF
- Competition: Stance detection about vaccines
- Domain: Health
- Language(s): Spanish
Detection of toxicity IberLEF 2021
- NLP topic: hate detection
- Dataset: NewsCom-TOX
- Forum: IberLEF
- Competition: DETOXIS: Detection of toxicity
- Domain:
- Language(s):
Non-contextual classification of offensive comments IberLEF 2021
- NLP topic: hate detection
- Dataset: MeOffendES
- Forum: IberLEF
- Competition: MeOffendES: Detection of offensive language
- Domain:
- Language(s): Spanish
Occupation and occupation holder detection IberLEF 2021
- NLP topic: text classification
- Dataset: MEDDOPROF
- Forum: IberLEF
- Competition: Recognition, classification and normalization of professions and occupations from medical texts
- Domain: Health
- Language(s): Spanish
Relation extraction IberLEF 2021
- NLP topic: relation extraction
- Dataset: eHealth-KD-ES
- Forum: IberLEF
- Competition: eHealth Knowledge Discovery
- Domain: Health
- Language(s): Spanish, English
Humor detection IberLEF 2021
- NLP topic: processing humor
- Dataset: HAHA
- Forum: IberLEF
- Competition: Detecting, Rating and Analyzing Humor in Spanish
- Domain:
- Language(s): Spanish
Sexism classification IberLEF 2021
- NLP topic: hate detection
- Dataset: EXIST-2021-ES
- Forum: IberLEF
- Competition: EXIST: Sexism detection in Twitter
- Domain:
- Language(s): Spanish, English
Detection of toxicity level IberLEF 2021
- NLP topic: hate detection
- Dataset: NewsCom-TOX
- Forum: IberLEF
- Competition: DETOXIS: Detection of toxicity
- Domain:
- Language(s):
- NLP topic: hate detection
- Dataset: MeOffendES
- Forum: IberLEF
- Competition: MeOffendES: Detection of offensive language
- Domain:
- Language(s):
Named entity normalization IberLEF 2021
- NLP topic: text classification
- Dataset: MEDDOPROF
- Forum: IberLEF
- Competition: Recognition, classification and normalization of professions and occupations from medical texts
- Domain: Health
- Language(s): Spanish
If you have published a result better than those on the list, send a message to odesia-comunicacion@lsi.uned.es indicating the result and the DOI of the article, along with a copy of it if it is not published openly.

