STREUSLE: a corpus with comprehensive lexical semantic annotation (multiword expressions, supersenses)
-
Updated
Jan 20, 2023 - Python
STREUSLE: a corpus with comprehensive lexical semantic annotation (multiword expressions, supersenses)
Learn meanings behind words is a key element in NLP. This project concentrates on the disambiguation of preposition senses. Therefore, we train a bert-transformer model and surpass the state-of-the-art.
A corpus of supersense-annotated adpositions and case markers in German natural-language text.
Alternative to lingohelp.me that is used to copy, and is convinient
Analyze entire paragraphs to gain a comprehensive understanding of the distribution of different parts of speech.
generates a truth table from a boolean expression
Add a description, image, and links to the prepositions topic page so that developers can more easily learn about it.
To associate your repository with the prepositions topic, visit your repo's landing page and select "manage topics."