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• NameTag

  1 resources

  NameTag is an open-source tool for named entity recognition (NER). NameTag identifies proper names in text and classifies them into predefined categories, such as names of persons, locations, organizations, etc.

• WebLicht NamedEntities DE

  1 resources

  WebLicht Easy Chain for German Named Entity Recognition (German). The pipeline makes use of WebLicht's TCF converter, the IMS tokenizer, the IMS TreeTagger, and a German Named Entity Recognizer that has been trained based on a maximum entropy approach using the OpenNLP maxent library. WebLicht's Tundra can be used to visualize the result.

• DARIAH DKPro-Wrapper: Named Entity Recognition EN

  1 resources

  The DARIAH DKPro Wrapper is a wrapper for DKPro Core, a tool for linguistic annotation.

• DARIAH DKPro-Wrapper: Named Entity Recognition DE

  1 resources

  The DARIAH DKPro Wrapper is a wrapper for DKPro Core, a tool for linguistic annotation.

• Frog

  1 resources

  Frog is an integration of memory-based natural language processing (NLP) modules developed for Dutch. It performs automatic linguistic enrichment such as part of speech tagging, lemmatisation, named entity recognition, shallow parsing, dependency parsing and morphological analysis. All NLP modules are based on TiMBL.

  Use "Frog"

• python-frog

  2 resources

  Python binding to Frog, an NLP suite for Dutch doing part-of-speech tagging, lemmatisation, morphological analysis, named-entity recognition, shallow parsing, and dependency parsing.

  Use "python-frog"

• Frog-Webservice

  2 resources

  Frog is a suite containing a tokeniser, Part-of-Speech tagger, lemmatiser, morphological analyser, shallow parser, and dependency parser for Dutch. This is the webservice for it, for both humans and machines.

  Use "Frog-Webservice"

• Icelandic NER API - Ensamble model (21.09)

  2 resources

  A dockerized Named Entity Recognition (NER) API for Icelandic. It uses a the IceBERT language model from Miðeind as its primary model, but it also offers the possibility to use 3 other transformer language models with it ( ELECTRA-base, convbert-small, and multilingual-BERT) and combines them with CombiTagger. They were all fine tuned for NER using MIM-GOLD-NER. IceBERT was the best individual model as it achieves F1-score of ~92.73 on the test set for MIM-GOLD-NER, while the combination of the four, in the form of CombiTagger, achieved F1-score of 93.21. The code for the API is available at https://github.com/icelandic-lt/Icelandic-NER-API and the files for the fine tuned models are available in this submission. Dockerútfærð forritaskil fyrir nafnakennsl (NER) á íslensku. Þau notast við IceBERT mállíkan frá Miðeind sem sitt megin líkan, en þau bjóða líka upp á möguleikann að láta IceBERT vinna með 3 öðrum líkönum (ELECTRA-base, convbert-small og multilingual-BERT). Þau hafa öll verið fínstillt fyrir NER með nafnakennslamálheildinni MIM-GOLD-NER. Ef við skoðum hvert líkan fyrir sig, þá er IceBERT líkanið best, en það nær 92.73 í F1, á meðn CombiTagger nær 93.21 í F1. Forritunarkóðinn fyrir forritaskilinu eru aðgengileg hérna: https://github.com/icelandic-lt/Icelandic-NER-API og skrárnar fyrir fínstilltu líkönin má finna í þessari færslu.

  Use "Icelandic NER API - Ensamble model (21.09)"

• Icelandic NER API - ELECTRA-base model (21.05)

  2 resources

  A dockerized Named Entity Recognition (NER) API for Icelandic. It uses a ELECTRA-base language model, that has been fine tuned for NER using MIM-GOLD-NER. It achieves F1-score of ~91.9 on the test set for MIM-GOLD-NER. The code for the API is available at https://github.com/icelandic-lt/Icelandic-NER-API and the files for the fine tuned model are available in this submission. Dockerútfærð forritaskil fyrir nafnakennsl (NER) á íslensku. Það notast við ELECTRA-base mállíkan, sem hefur verið fínstillt fyrir NER með nafnakennslamálheildinni MIM-GOLD-NER. Líkanið nær u.þ.b. 91.9 fyrir prófunarmengi MIM-GOLDöNER. Forritunarkóðinn fyrir forritaskilinu eru aðgengileg hérna: https://github.com/icelandic-lt/Icelandic-NER-API og skrárnar fyrir fínstillta líkanið má finna í þessari færslu.

  Use "Icelandic NER API - ELECTRA-base model (21.05)"

• NameTag 2

  2 resources

  NameTag 2 is a named entity recognition tool. It recognizes named entities (e.g., names, locations, etc.) and can recognize both flat and embedded (nested) entities. NameTag 2 can be used either as a commandline tool or by requesting the NameTag webservice. NameTag webservice can be found at: https://lindat.mff.cuni.cz/services/nametag/ NameTag commandline tool can be downloaded from NameTag GitHub repository, branch nametag2: git clone https://github.com/ufal/nametag -b nametag2 Latest models and documentation can be found at: https://ufal.mff.cuni.cz/nametag/2 This software subject to the terms of the Mozilla Public License, v. 2.0 (http://mozilla.org/MPL/2.0/). The associated models are distributed under CC BY-NC-SA license. Please cite as: Jana Straková, Milan Straka, Jan Hajič (2019): Neural Architectures for Nested NER through Linearization. In: Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics, pp. 5326-5331, Association for Computational Linguistics, Stroudsburg, PA, USA, ISBN 978-1-950737-48-2 (https://aclweb.org/anthology/papers/P/P19/P19-1527/)

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