NERosetta – an Insight into Named Entity Tagging

Abstract : Named Entity Recognition has been a hot topic in Natural Language Processing for more than fifteen years. A number of systems for various languages have been developed using different approaches and based on different named entity schemes and tagging strategies. We present the NERosetta web application that can be used for comparison of these various approaches applied to aligned texts (bitexts). In order to illustrate its functionalities, we have used one literary text, its 7 bi-texts involving 5 languages and 5 different NER systems. We present some preliminary results and give guidelines for further development.
Type de document :
Communication dans un congrès
6th Language & Technology Conference, Oct 2013, Poznan, Poland
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https://hal-upec-upem.archives-ouvertes.fr/hal-01621019
Contributeur : Tita Kyriacopoulou <>
Soumis le : dimanche 22 octobre 2017 - 18:54:08
Dernière modification le : mercredi 11 avril 2018 - 12:12:03

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  • HAL Id : hal-01621019, version 1

Citation

Cvetana Krstev, Anđelka Zečević, Duško Vitas, Tita Kyriacopoulou. NERosetta – an Insight into Named Entity Tagging. 6th Language & Technology Conference, Oct 2013, Poznan, Poland. 〈hal-01621019〉

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