Papers by Johan Boye

2 papers
Nested Noun Phrase Identification Using BERT (2024.lrec-main)

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Challenge: a number of methods for identifying noun phrases have been developed . chunking-like methods do not represent the fact that noun phrase can be nested.
Approach: They propose a method of finding all noun phrases in a sentence nested to an arbitrary depth using the BERT model for token classification.
Outcome: The proposed method achieves very good results for both Swedish and English . it is based on the BERT model for token classification .
Textinator: an Internationalized Tool for Annotation and Human Evaluation in Natural Language Processing and Generation (2022.lrec-1)

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Challenge: Large-scale pretrained language models have brought substantial advances to the natural language processing field.
Approach: They present an internationalized annotation and human evaluation bundle, called Textinator, along with documentation and video tutorials.
Outcome: The proposed tool is compared to other tools along 9 different axes and is available in multiple languages.

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