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Necva Bölücü

2 accepted papers

2023

impact of sample selection on in-context learning for entity extraction from scientific writing

EMNLP 2023long findings

Prompt-based usage of Large Language Models (LLMs) is an increasingly popular way to tackle many well-known natural language problems. This trend is due, in part, to the appeal of the In-Context Learning (ICL) prompt set-up, in which a few selected training examples are provided along with the infer…

Cited by 0SourceScholar
2022

TurkishDelightNLP: A Neural Turkish NLP Toolkit

NAACL 2022system demonstrations

We introduce a neural Turkish NLP toolkit called TurkishDelightNLP that performs computational linguistic analyses from morphological level to semantic level that involves tasks such as stemming, morphological segmentation, morphological tagging, part-of-speech tagging, dependency parsing, and seman…