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Named Entity Recognition (NER) on Estonian Social Media: A Benchmark Dataset and Baselines
Organisatsiooni nimiTartuNLP
KokkuvõteNER is one of the fundamental tasks in Natural Language Processing (NLP) and it aims at identifying different types of entities within a given text. NER involves recognizing named entities such as person, location, organization, etc. in a segment of text.

This proposal involves: i) creating a benchmark dataset by annotating Estonian tweets, ii) proposing a coarse-grained taxonomy and iii) neural baselines.

Outcome: a benchmark dataset and baselines for Estonian NER in the context of social media data in Estonian.
Lõputöö kaitsmise aasta2022-2023
JuhendajaSomnath Banerjee
Suhtlemiskeel(ed)
Nõuded kandideerijale
Tase Bakalaureus, Magister
Märksõnad #SocialNLP, #SocialMedia
Kandideerimise kontakt
Nimi Somnath Banerjee
Tel
E-mail somnath.banerjee@ut.ee
Vaata lähemalt https://sites.google.com/view/somnath-banerjee


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