Papers by Tunga Güngör
Improving Named Entity Recognition by Jointly Learning to Disambiguate Morphological Tags (C18-1)
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| Challenge: | Named entity recognition (NER) taggers require external morphological disambiguation tools to function which are hard to obtain or non-existent for many languages. |
| Approach: | They propose a model which jointly learns NER and MD taggers in languages for which one can provide a list of candidate morphological analyses. |
| Outcome: | The proposed model can be trained independently of the morphological annotation schemes, and it performs competitively. |
TULAP - An Accessible and Sustainable Platform for Turkish Natural Language Processing Resources (2023.eacl-demo)
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Susan Uskudarli, Muhammet Şen, Furkan Akkurt, Merve Gürbüz, Onur Gungor, Arzucan Özgür, Tunga Güngör
| Challenge: | a growing interest in the field of natural language processing is resulting in applications solving NLP tasks. |
| Approach: | They propose to create an open-source platform to share Turkish NLP resources . they propose to use the platform to publish open-sourced Turkish Nlp resources based on a research lab's datasets and tools. |
| Outcome: | The proposed platform is easy-to-use and publishes open-source Turkish NLP resources. |