{"id":1677,"date":"2020-03-23T06:47:00","date_gmt":"2020-03-23T05:47:00","guid":{"rendered":"https:\/\/wordlift.io\/entity\/named-entity-recognition\/"},"modified":"2021-12-17T11:35:38","modified_gmt":"2021-12-17T10:35:38","slug":"named-entity-recognition","status":"publish","type":"entity","link":"https:\/\/wordlift.io\/blog\/en\/entity\/named-entity-recognition\/","title":{"rendered":"Named-entity recognition"},"content":{"rendered":"\n<p><strong><a class=\"wl-entity-page-link\" title=\"entity extraction\" href=\"https:\/\/wordlift.io\/blog\/en\/entity\/named-entity-recognition\/\" data-id=\"http:\/\/data.wordlift.io\/wl0216\/entity\/named-entity_recognition;http:\/\/rdf.freebase.com\/ns\/m.0658pt;http:\/\/yago-knowledge.org\/resource\/Named-entity_recognition;http:\/\/dbpedia.org\/resource\/Named-entity_recognition\" >Named-entity recognition<\/a><\/strong> (NER) (also known as entity identification and entity extraction) is a subtask of <strong>information extraction<\/strong> that <strong>seeks to locate and classify atomic elements in text<\/strong> into <strong>predefined categories<\/strong> such as the names of <em>persons<\/em>, <em>organizations<\/em>, <em>places<\/em>, <em>expressions of times<\/em>, <em>quantities<\/em>, <em>monetary values<\/em>, <em>percentages&nbsp;<\/em>and more.<\/p>\n\n\n\n<p>Most research on NER systems starts with&nbsp;an unannotated block of text, such as this one: &#8220;WordLift is a plugin for WordPress&#8221; and extracting all relevant information from it:<\/p>\n\n\n\n<ul class=\"wp-block-list\"><li><em><strong>WordLift<\/strong> | schema-org:CreativeWork | <a href=\"http:\/\/lodview.it\/lodview\/?IRI=http:\/\/data.redlink.io\/91\/be9\/entity\/wordlift\">http:\/\/data.redlink.io\/91\/be9\/entity\/wordlift<\/a><\/em><\/li><li><em><strong>Plugin<\/strong> | dbc:Software-add_ons | <a href=\"http:\/\/dbpedia.org\/page\/Plug-in_(computing)\">http:\/\/dbpedia.org\/page\/Plug-in_(computing)<\/a><\/em><\/li><li><strong><em>WordPress<\/em><\/strong>&nbsp;| dbc:Content_management_software |&nbsp;<a href=\"http:\/\/dbpedia.org\/page\/WordPress\">http:\/\/dbpedia.org\/page\/WordPress<\/a>.<\/li><\/ul>\n\n\n\n<h2 class=\"wp-block-heading\">What is an Entity anyway?<\/h2>\n\n\n\n<p>An <a class=\"wl-entity-page-link\" title=\"Entities\" href=\"https:\/\/wordlift.io\/blog\/en\/entity\/what-is-an-entity\/\" data-id=\"http:\/\/data.wordlift.io\/wl0216\/entity\/entity;http:\/\/dbpedia.org\/resource\/Entity;http:\/\/rdf.freebase.com\/ns\/m.0bl9f;https:\/\/g.co\/kg\/m\/0bl9f;https:\/\/www.wikidata.org\/wiki\/Q35120;http:\/\/data.wordlift.io\/wl0216\/entity\/entity\" >entity<\/a> is&nbsp;<strong>the \u201cthing\u201d described in a document<\/strong>. An entity&nbsp;<strong>helps computers understand everything you know about a person, an organization or a place<\/strong>&nbsp;mentioned in a document. All these facts are organized in statements known as&nbsp;<a href=\"https:\/\/wordlift.io\/blog\/en\/entity\/triple\/\">triples<\/a>&nbsp;that are expressed in the form of subject, predicate, and object.&nbsp;<\/p>\n\n\n\n<h2 class=\"wp-block-heading\">How WordLift is using Named Entity Recognition <\/h2>\n\n\n<p>Let&#8217;s get into more details as this is one&nbsp;of the key technologies of WordLift:<\/p>\n<p><span>First and foremost&nbsp;Named-entity recognition (NER) uses&nbsp;a&nbsp;KB (<\/span><b>K<\/b><span>nowledge <\/span><b>B<\/b><span>ase<\/span>) that&nbsp;contains all&nbsp;known concepts (Named Entities)&nbsp;that needs to be extracted from a block of text.<\/p>\n<p><span>WordLift derives semantic information from the user&#8217;s&nbsp;content&nbsp;by leveraging on freely available datasets such as <a class=\"wl-entity-page-link\"  href=\"https:\/\/wordlift.io\/blog\/en\/entity\/dbpedia\/\" data-id=\"http:\/\/data.wordlift.io\/wl0216\/entity\/dbpedia;http:\/\/rdf.freebase.com\/ns\/m.02rw2c7;http:\/\/yago-knowledge.org\/resource\/DBpedia;http:\/\/dbpedia.org\/resource\/DBpedia\" >DBpedia<\/a> and the user&#8217;s local vocabulary. <\/span><\/p>\n<p><span>As new concepts are&nbsp;added in the local vocabulary, WordLift learns the knowledge domain of the user and improve its understanding of the content. <\/span><\/p>\n<p><span>WordLift uses&nbsp;<\/span>a sophisticated &#8216;<strong>name-entity disambiguation<\/strong>&#8216; (<strong>NED<\/strong>) mechanism to correctly&nbsp;detected locations, company and people to unique &#8220;instances&#8221; in the web of data.<\/p>\n<p>During the extraction phase low level <a class=\"wl-entity-page-link\" title=\"Natural Language Processing\" href=\"https:\/\/wordlift.io\/blog\/en\/entity\/natural-language-processing\/\" data-id=\"http:\/\/data.wordlift.io\/wl0216\/entity\/natural_language_processing;http:\/\/rdf.freebase.com\/ns\/m.05flf;http:\/\/dbpedia.org\/resource\/Natural_language_processing;http:\/\/be.dbpedia.org\/resource\/\u0410\u043f\u0440\u0430\u0446\u043e\u045e\u043a\u0430_\u043d\u0430\u0442\u0443\u0440\u0430\u043b\u044c\u043d\u0430\u0439_\u043c\u043e\u0432\u044b;http:\/\/ru.dbpedia.org\/resource\/\u041e\u0431\u0440\u0430\u0431\u043e\u0442\u043a\u0430_\u0435\u0441\u0442\u0435\u0441\u0442\u0432\u0435\u043d\u043d\u043e\u0433\u043e_\u044f\u0437\u044b\u043a\u0430;http:\/\/pt.dbpedia.org\/resource\/Processamento_de_linguagem_natural;http:\/\/bg.dbpedia.org\/resource\/\u041e\u0431\u0440\u0430\u0431\u043e\u0442\u043a\u0430_\u043d\u0430_\u0435\u0441\u0442\u0435\u0441\u0442\u0432\u0435\u043d_\u0435\u0437\u0438\u043a;http:\/\/lt.dbpedia.org\/resource\/Nat\u016bralios_kalbos_apdorojimas;http:\/\/fr.dbpedia.org\/resource\/Traitement_automatique_du_langage_naturel;http:\/\/uk.dbpedia.org\/resource\/\u041e\u0431\u0440\u043e\u0431\u043a\u0430_\u043f\u0440\u0438\u0440\u043e\u0434\u043d\u043e\u0457_\u043c\u043e\u0432\u0438;http:\/\/id.dbpedia.org\/resource\/Pemrosesan_bahasa_alami;http:\/\/ca.dbpedia.org\/resource\/Processament_de_llenguatge_natural;http:\/\/sr.dbpedia.org\/resource\/Obrada_prirodnih_jezika;http:\/\/en.dbpedia.org\/resource\/Natural_language_processing;http:\/\/is.dbpedia.org\/resource\/M\u00e1lgreining;http:\/\/it.dbpedia.org\/resource\/Elaborazione_del_linguaggio_naturale;http:\/\/es.dbpedia.org\/resource\/Procesamiento_de_lenguajes_naturales;http:\/\/cs.dbpedia.org\/resource\/Zpracov\u00e1n\u00ed_p\u0159irozen\u00e9ho_jazyka;http:\/\/pl.dbpedia.org\/resource\/Przetwarzanie_j\u0119zyka_naturalnego;http:\/\/ro.dbpedia.org\/resource\/Prelucrarea_limbajului_natural;http:\/\/da.dbpedia.org\/resource\/Sprogteknologi;http:\/\/tr.dbpedia.org\/resource\/Do\u011fal_dil_i\u015fleme\" >NLP<\/a> functions take place&nbsp;including<span>&nbsp;<em>POS<\/em> (part of speech) <em>tagging<\/em>, <em>tokenisation<\/em>, <em>sentence boundary detection<\/em>, <em>capitalization rules<\/em> and <em>in-document coreference<\/em>.<\/span><\/p>\n\n\n<p>As a result of the extraction, WordLift proposes to the user a set of\u00a0candidate <strong>kb<\/strong> entities for a mention.<\/p>\n\n\n\n\n\n<h2 class=\"wp-block-heading\">Learn more about Natural Language Processing<\/h2>\n\n\n\n<p>Natural language processing (or NLP) is\u00a0<strong>a field of computer science<\/strong>,\u00a0<strong><a href=\"https:\/\/wordlift.io\/blog\/en\/entity\/artificial-intelligence\/\">artificial intelligence<\/a><\/strong>, and\u00a0<strong>linguistics<\/strong>\u00a0that has to do with the interactions between computers and humans using natural languages. As such, NLP is related to the area of human-computer interaction. Many challenges in NLP involve natural language understanding \u2014 that is, enabling computers to derive meaning from human or natural language input. <\/p>\n\n\n\n<p><\/p>\n\n\n\n<p>If you want to know more about <strong><a href=\"https:\/\/wordlift.io\/blog\/en\/web-stories\/keyword-research-using-ai\/\">keyword research using AI<\/a><\/strong>, see our web story.<\/p>\n\n\n\n<p><\/p>\n\n\n","protected":false},"excerpt":{"rendered":"<p>Named-entity recognition (NER) (also known as entity identification and entity extraction) is a subtask of information extraction that seeks to locate and classify atomic elements in text into predefined categories such as the names of persons, organizations, places, expressions of times, quantities, monetary values, percentages&nbsp;and more. Most research on NER systems starts with&nbsp;an unannotated block &hellip; <a href=\"https:\/\/wordlift.io\/blog\/en\/entity\/named-entity-recognition\/\">Continued<\/a><\/p>\n","protected":false},"author":6,"featured_media":4435,"comment_status":"open","ping_status":"closed","template":"","meta":{"_acf_changed":false,"wl_entities_gutenberg":"","_wlpage_enable":"","footnotes":""},"categories":[612],"wl_entity_type":[12],"coauthors":[],"class_list":["post-1677","entity","type-entity","status-publish","has-post-thumbnail","hentry","category-semantic-seo","wl_entity_type-thing"],"acf":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v22.6 - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>What is Named-entity recognition (NER)? - WordLift<\/title>\n<meta name=\"description\" content=\"Named-entity recognition (NER) is\ufeff a subtask of information extraction that\ufeff seeks to locate and\ufeff classify\ufeff atomic\ufeff elements in text\ufeff into predefined categories.\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/wordlift.io\/blog\/en\/entity\/named-entity-recognition\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"What is Named-entity recognition (NER)? 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