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Found 3 papers, 1 papers with code
Sentence Meaning Representations Across Languages: What Can We Learn from Existing Frameworks?
This article gives an overview of how sentence meaning is represented in eleven deep-syntactic frameworks, ranging from those based on linguistic theories elaborated for decades to rather lightweight NLP-motivated approaches.
Towards Universal Segmentations: UniSegments 1.0
Our work aims at developing a multilingual data resource for morphological segmentation.
The SIGMORPHON 2022 Shared Task on Morpheme Segmentation
The SIGMORPHON 2022 shared task on morpheme segmentation challenged systems to decompose a word into a sequence of morphemes and covered most types of morphology: compounds, derivations, and inflections.
Ranked #8 on
Morpheme Segmentaiton
on UniMorph 4.0
