Search Results for author: Wessel Poelman

Found 4 papers, 2 papers with code

Transparent Semantic Parsing with Universal Dependencies Using Graph Transformations

1 code implementation COLING 2022 Wessel Poelman, Rik van Noord, Johan Bos

Even though many recent semantic parsers are based on deep learning methods, we should not forget that rule-based alternatives might offer advantages over neural approaches with respect to transparency, portability, and explainability.

Semantic Parsing

Detecting ChatGPT: A Survey of the State of Detecting ChatGPT-Generated Text

no code implementations14 Sep 2023 Mahdi Dhaini, Wessel Poelman, Ege Erdogan

While recent advancements in the capabilities and widespread accessibility of generative language models, such as ChatGPT (OpenAI, 2022), have brought about various benefits by generating fluent human-like text, the task of distinguishing between human- and large language model (LLM) generated text has emerged as a crucial problem.

Language Modelling Large Language Model

What is 'Typological Diversity' in NLP?

1 code implementation6 Feb 2024 Esther Ploeger, Wessel Poelman, Miryam de Lhoneux, Johannes Bjerva

We recommend future work to include an operationalization of 'typological diversity' that empirically justifies the diversity of language samples.

Multilingual NLP

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