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An Evaluation of Recent Neural Sequence Tagging Models in Turkish Named Entity Recognition
[article]
2020
arXiv
pre-print
Named entity recognition (NER) is an extensively studied task that extracts and classifies named entities in a text. NER is crucial not only in downstream language processing applications such as relation extraction and question answering but also in large scale big data operations such as real-time analysis of online digital media content. Recent research efforts on Turkish, a less studied language with morphologically rich nature, have demonstrated the effectiveness of neural architectures on
arXiv:2005.07692v2
fatcat:ongxceoqijbu7g4xjkb545dapm