{"id":189,"date":"2021-05-14T08:24:22","date_gmt":"2021-05-14T06:24:22","guid":{"rendered":"https:\/\/miningtext.at\/?page_id=189"},"modified":"2021-05-14T10:17:44","modified_gmt":"2021-05-14T08:17:44","slug":"named-entity-recognition-linking-ner-nel","status":"publish","type":"page","link":"https:\/\/miningtext.at\/en\/named-entity-recognition-linking-ner-nel","title":{"rendered":"Named Entity Recognition & Linking (NER\/NEL)"},"content":{"rendered":"
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To develop a workflow for the automatic recognition of place and person names (Named Entity Recognition), T.M.M.M.T. combines two research approaches:<\/p>\n <\/div>\n <\/div>\n <\/div>\n <\/div>\n <\/div>\n <\/div>\n <\/div>\n <\/div>\n <\/div>\n

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NER for historical texts<\/h5>\n <\/div>\n <\/div>\n
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The pipeline performs Named Entity Recognition (NER) in two steps: (1) a specialised NER step based on, in simple terms, comparisons between tokens and pre-built lists of place and person names, and (2) NER as part of the part-of-speech tagging step.<\/p>\n <\/div>\n <\/div>\n <\/div>\n <\/div>\n <\/div>\n

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Information Extraction & Gazetteers<\/h5>\n <\/div>\n <\/div>\n
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Extraction of names (mines, places, persons) using Postgres. The created gazetteers and registers were used to develop & support a NER workflow.<\/p>\n <\/div>\n <\/div>\n <\/div>\n <\/div>\n <\/div>\n <\/div>\n <\/div>\n<\/div>\n<\/div>\n

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References<\/p>\n

Schmid, Helmut. „Probabilistic part-of-speech tagging using decision trees.“ International Conference on New Methods in Language Processing, 1994. 1994.<\/p>\n

Schmid, Helmut. „Deep learning-based morphological taggers and lemmatizers for annotating historical texts.“ Proceedings of the 3rd international conference on digital access to textual cultural heritage. 2019.<\/p>\n <\/div>\n <\/div>\n <\/div>\n <\/div>\n <\/div>\n <\/div>\n <\/div>\n <\/div>\n<\/div>\n<\/div>","protected":false},"excerpt":{"rendered":"

Zur Entwicklung eines Workflows zur automatischen Erkennung von Orts- und Personennamen (Named Entity Recognition) kombiniert T.M.M.M.T. zwei Forschungsans\u00e4tze NER f\u00fcr historische Texte F\u00fcr sp\u00e4tmittelhochdeutsche Texte adaptierte NER in zwei Schritten: (1) Spezialisierter NER-Schritt basierend auf Vergleichen zwischen Token und vorgefertigten Listen von Orts- und Personennamen (2) NER als Teil des Part-of-Speech-Tagging-Schrittes (Deep Learning-Ansatz) Information Extraction […]<\/p>","protected":false},"author":1,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"page-templates\/full-width-page.php","meta":{"footnotes":""},"class_list":["post-189","page","type-page","status-publish","hentry"],"_links":{"self":[{"href":"https:\/\/miningtext.at\/en\/wp-json\/wp\/v2\/pages\/189","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/miningtext.at\/en\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/miningtext.at\/en\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/miningtext.at\/en\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/miningtext.at\/en\/wp-json\/wp\/v2\/comments?post=189"}],"version-history":[{"count":3,"href":"https:\/\/miningtext.at\/en\/wp-json\/wp\/v2\/pages\/189\/revisions"}],"predecessor-version":[{"id":281,"href":"https:\/\/miningtext.at\/en\/wp-json\/wp\/v2\/pages\/189\/revisions\/281"}],"wp:attachment":[{"href":"https:\/\/miningtext.at\/en\/wp-json\/wp\/v2\/media?parent=189"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}